Journal articles: 'Artificial empathy'

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Asada, Minoru. "Towards Artificial Empathy." International Journal of Social Robotics 7, no. 1 (November 29, 2014): 19–33. http://dx.doi.org/10.1007/s12369-014-0253-z.

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Asada, Minoru. "Development of artificial empathy." Neuroscience Research 90 (January 2015): 41–50. http://dx.doi.org/10.1016/j.neures.2014.12.002.

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Stephan, Achim. "Empathy for Artificial Agents." International Journal of Social Robotics 7, no. 1 (November 18, 2014): 111–16. http://dx.doi.org/10.1007/s12369-014-0260-0.

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Damiano, Luisa, Paul Dumouchel, and Hagen Lehmann. "Artificial Empathy: An Interdisciplinary Investigation." International Journal of Social Robotics 7, no. 1 (October 31, 2014): 3–5. http://dx.doi.org/10.1007/s12369-014-0259-6.

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Wang, Yu, Yanzhong Zhang, Yanji Wang, Hao Zhang, Xinpeng Wang, Rongqing Xu, and Yi Tong. "Realization of Empathy Capability for the Evolution of Artificial Intelligence Using an MXene(Ti3C2)-Based Memristor." Electronics 13, no. 9 (April 24, 2024): 1632. http://dx.doi.org/10.3390/electronics13091632.

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Empathy is the emotional capacity to feel and understand the emotions experienced by other human beings from within their frame of reference. As a unique psychological faculty, empathy is an important source of motivation to behave altruistically and cooperatively. Although human-like emotion should be a critical component in the construction of artificial intelligence (AI), the discovery of emotional elements such as empathy is subject to complexity and uncertainty. In this work, we demonstrated an interesting electrical device (i.e., an MXene (Ti3C2) memristor) and successfully exploited the device to emulate a psychological model of “empathic blame”. To emulate this affective reaction, MXene was introduced into memristive devices because of its interesting structure and ionic capacity. Additionally, depending on several rehearsal repetitions, self-adaptive characteristic of the memristive weights corresponded to different levels of empathy. Moreover, an artificial neural system was designed to analogously realize a moral judgment with empathy. This work may indicate a breakthrough in making cool machines manifest real voltage-motivated feelings at the level of the hardware rather than the algorithm.

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Montiel-Vázquez, Edwin Carlos, Jorge Adolfo Ramírez Uresti, and Octavio Loyola-González. "An Explainable Artificial Intelligence Approach for Detecting Empathy in Textual Communication." Applied Sciences 12, no. 19 (September 20, 2022): 9407. http://dx.doi.org/10.3390/app12199407.

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Empathy is a necessary component of human communication. However, it has been largely ignored in favor of other concepts such as emotion and feeling in Affective computing. Research that has been carried out regarding empathy in computer science lacks a method of measuring empathy based on psychological research. Likewise, it does not present an avenue for expanding knowledge regarding this concept. We provide a comprehensive study on the nature of empathy and a method for detecting it in textual communication. We measured empathy present in conversations from a database through volunteers and psychological research. Subsequently, we made use of a pattern-based classification algorithm to predict the Empathy levels in each conversation. Our research contributions are: the Empathy score, a metric for measuring empathy in texts; Empathetic Conversations, a database containing conversations with their respective Empathy score; and our results. We show that an explicative pattern-based approach (PBC4cip) is, to date, the best approach for detecting empathy in texts. This is by measuring performance in both nominal and ordinal metrics. We found a statistically significant difference in performance for our approach and other algorithms with lower performance. In addition, we show the advantages of interpretability by our model in contrast to other approaches. This is one of the first approaches to measuring empathy in texts, and we expect it to be useful for future research.

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Alsager Alzayed, Mohammad, Scarlett R. Miller, and Christopher McComb. "Empathic creativity: can trait empathy predict creative concept generation and selection?" Artificial Intelligence for Engineering Design, Analysis and Manufacturing 35, no. 4 (November 2021): 369–83. http://dx.doi.org/10.1017/s0890060421000196.

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AbstractOver the past decade, engineering design research has seen a significant surge of the discussion of empathy. As such, design researchers have been devoted in devising and assessing empathic design activities. While prior research has examined the utility of empathic design experiences on driving creative concept generation, little is known about the role of a designer's empathic tendencies in driving creative concept generation and selection in an engineering design project. Without this knowledge, we cannot be sure if, when, or how empathy influences the design process. Thus, the main goal of this paper was to identify the role of trait empathy in creative concept generation and selection in an engineering design student project. In order to achieve this objective, a study was conducted with 103 first-year engineering students during two design stages of an 8-week design project (concept generation and concept selection). The main findings from this paper highlighted that empathic concern tendencies positively impacted the generation of more ideas while personal distress tendencies negatively impacted the generation of more ideas. During concept selection, perspective-taking tendencies positively impacted participants’ propensity for selecting elegant ideas. This research took the first step in encouraging empirical investigations aimed at understanding the role of trait empathy across different stages of the design process.

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Yang, Hsuan-Chia, Annisa Ristya Rahmanti, Chih-Wei Huang, and Yu-Chuan Jack Li. "How Can Research on Artificial Empathy Be Enhanced by Applying Deepfakes?" Journal of Medical Internet Research 24, no. 3 (March 4, 2022): e29506. http://dx.doi.org/10.2196/29506.

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We propose the idea of using an open data set of doctor-patient interactions to develop artificial empathy based on facial emotion recognition. Facial emotion recognition allows a doctor to analyze patients' emotions, so that they can reach out to their patients through empathic care. However, face recognition data sets are often difficult to acquire; many researchers struggle with small samples of face recognition data sets. Further, sharing medical images or videos has not been possible, as this approach may violate patient privacy. The use of deepfake technology is a promising approach to deidentifying video recordings of patients’ clinical encounters. Such technology can revolutionize the implementation of facial emotion recognition by replacing a patient's face in an image or video with an unrecognizable face—one with a facial expression that is similar to that of the original. This technology will further enhance the potential use of artificial empathy in helping doctors provide empathic care to achieve good doctor-patient therapeutic relationships, and this may result in better patient satisfaction and adherence to treatment.

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Gómez-León, María Isabel. "Development of empathy through Socioemotional Artificial Intelligence." Papeles del Psicólogo - Psychologist Papers 43, no. 3 (2022): 218. http://dx.doi.org/10.23923/pap.psicol.2996.

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Rostami, Mehdi, and Shokouh Navabinejad. "Artificial Empathy: User Experiences with Emotionally Intelligent Chatbots." AI and Tech in Behavioral and Social Sciences 1, no. 3 (2023): 19–27. http://dx.doi.org/10.61838/kman.aitech.1.3.4.

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This study aims to explore user experiences with emotionally intelligent chatbots, focusing on their perceived empathy, satisfaction with interactions, and the impact on user perception. Additionally, it seeks to identify the main challenges and future expectations users have towards these AI systems. Employing a qualitative research design, this study collected data through semi-structured interviews with 28 participants who had interacted with emotionally intelligent chatbots in various contexts. Thematic analysis was conducted to identify main themes, categories, and concepts within the data, providing insights into users' perceptions and experiences. The analysis revealed eight main themes: Perceived Empathy, Interaction Satisfaction, Trust and Security, Human-Like Interaction, User Adaptation, Impact on User Perception, Barriers to Engagement, and Future Expectations. These themes encompass categories such as Emotional Understanding, Contextual Sensitivity, Engagement Level, Privacy Concerns, Learning Curve, AI Capabilities, Technological Limitations, and Improvement Suggestions. Participants valued chatbots' ability to understand and adapt to their emotional states but highlighted challenges in achieving authentic empathy and expressed concerns over privacy and data security. Emotionally intelligent chatbots hold promise for enhancing user experiences through artificial empathy. However, the authenticity of empathy, coupled with ethical considerations such as privacy and security, presents significant challenges. Future developments should focus on improving the genuineness of empathetic responses, ensuring ethical use of AI, and addressing users' concerns to fully realize the potential of emotionally intelligent chatbots.

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Vijaya, K. "ROLE OF ARTIFICIAL INTELLIGENCE IN PSYCHOLOGY." SCHOLARLY RESEARCH JOURNAL FOR HUMANITY SCIENCE AND ENGLISH LANGUAGE 10, no. 53 (September 1, 2022): 13476–86. http://dx.doi.org/10.21922/srjhsel.v10i53.11649.

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This Article entitles that, the role of Artificial Intelligence in psychology states that Psychology is the study of mental processes and behaviour of individuals. It is about artificial cognitive processes required for an artificially intelligent entity to be intelligent, learning, autonomous and self-developing. In psychology there are several specialties or focuses of study. In cognitive psychology, how the brain thinks and works. This includes learning, memory, perception, language and Logic. There is also developmental psychology that considers how an individual adapts and changes during different developmental stages and what is appropriate to consider of a human based on development. Sports psychology considers how to affect individual performance and how performance affects the individual. So Artificial Psychology for the purposes of this paper contains the artificial mental process considered necessary to create intelligent, autonomous, self-evolving, artificially cognitive systems. “Real artificial intelligence” as the simulation of actual human behaviour is often referred to as artificial general intelligence (AGI). In AGI, machines are supposed to be built in a way that makes it impossible to distinguish them from real humans. There are three areas, in which psychology needs to play a leading role:1. User Experience (UX) in the interaction with artificial intelligence. The psychological impact of AI on humans 2. Other psychological concepts, such as emotion and empathy will have to be created in the same way as intelligence for example “Artificial Empathy” to recreate a fully functioning artificial general intelligence 3. “Mental” health of both machines and human beings.

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Obaid, Mohammad, Ruth Aylett, Wolmet Barendregt, Christina Basedow, Lee J. Corrigan, Lynne Hall, Aidan Jones, et al. "Endowing a Robotic Tutor with Empathic Qualities: Design and Pilot Evaluation." International Journal of Humanoid Robotics 15, no. 06 (December 2018): 1850025. http://dx.doi.org/10.1142/s0219843618500251.

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As increasingly more research efforts are geared towards creating robots that can teach and interact with children in educational contexts, it has been speculated that endowing robots with artificial empathy may facilitate learning. In this paper, we provide a background to the concept of empathy, and how it factors into learning. We then present our approach to equipping a robotic tutor with several empathic qualities, describing the technical architecture and its components, a map-reading learning scenario developed for an interactive multitouch table, as well as the pedagogical and empathic strategies devised for the robot. We also describe the results of a pilot study comparing the robotic tutor with these empathic qualities against a version of the tutor without them. The pilot study was performed with 26 school children aged 10–11 at their school. Results revealed that children in the test condition indeed rated the robot as more empathic than children in the control condition. Moreover, we explored several related measures, such as relational status and learning effect, yet no other significant differences were found. We further discuss these results and provide insights into future directions.

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Srinivasan, Ramya, and Beatriz San Miguel González. "The role of empathy for artificial intelligence accountability." Journal of Responsible Technology 9 (April 2022): 100021. http://dx.doi.org/10.1016/j.jrt.2021.100021.

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Asada, Minoru. "Towards Artificial Empathy based on Affective Developmental Robotics." Journal of the Robotics Society of Japan 32, no. 8 (2014): 666–77. http://dx.doi.org/10.7210/jrsj.32.666.

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Timokhovich, A. N., and O. S. Bulycheva. "Technologies for personalization of brand marketing communications using artificial intelligence." Digital Sociology 3, no. 4 (January 29, 2021): 19–24. http://dx.doi.org/10.26425/2658-347x-2020-3-4-19-24.

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The article deals with the problem of implementation of personalization in marketing communications based on empathy of brand consumers. The paper substantiates the significance of artificial intelligence in the collection and processing of a large amount of personal data of users of the online space. The article presents an analysis of the main scientific approaches of Russian and foreign authors specializing in the study of the emotional component in the construction of personalized online communications. The authors present the results of the comprehensive research of consumers’ attitude to the personalization of marketing communications based on the artificial intelligence capabilities. In the course of the study the authors consider the technologies of using artificial intelligence mechanisms in the construction of personal communications in the online environment. The article gives theoretical substantiation of the need to use the mechanism of empathy in the construction of personalized communication with consumers. The paper substantiates conclusions about the possibility to build empathic connection between brands and their consumers under the condition of activating the function of emotional contagion, the effectiveness of using the emotional state of consumers in the preparation of personalized offers. The study describes the specifics of using personalized marketing communications as a modern marketing tool, which is expressed in the impact on the identification of buyers at the subconscious level. The article presents the technologies of personalization through consumers’ attitudes towards personalized communications. The paper presents the results of an empirical study conducted by the authors of the article in the spring of 2020, aimed at determining the willingness of consumers to share information about their emotional states. The article makes the conclusions about the existence of consumers’ need for trusting relationship with brands based on the mechanism of empathy; about the possibility of increasing the effectiveness of personalized brand communications through the use of segmentation of consumers depending on their mood; about the benefits of using artificial intelligence technologies in marketing communications.

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Lu, Shasha, Hye-Jin Kim, Yinghui Zhou, Li Xiao, and Min Ding. "Audio and Visual Analytics in Marketing and Artificial Empathy." Foundations and Trends® in Marketing 16, no. 4 (2022): 422–93. http://dx.doi.org/10.1561/1700000067.

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Potapov, Alexey, and Sergey Rodionov. "Universal empathy and ethical bias for artificial general intelligence." Journal of Experimental & Theoretical Artificial Intelligence 26, no. 3 (April 8, 2014): 405–16. http://dx.doi.org/10.1080/0952813x.2014.895112.

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Seitz, Lennart. "Artificial empathy in healthcare chatbots: Does it feel authentic?" Computers in Human Behavior: Artificial Humans 2, no. 1 (January 2024): 100067. http://dx.doi.org/10.1016/j.chbah.2024.100067.

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Asada, Minoru. "Towards Symbiotic Society: Artificial Pain Leads Empathy, Morality, and Ethics." Journal of the Robotics Society of Japan 37, no. 4 (2019): 287–92. http://dx.doi.org/10.7210/jrsj.37.287.

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Yoon, Namhee, and Ha-Kyung Lee. "AI Recommendation Service Acceptance: Assessing the Effects of Perceived Empathy and Need for Cognition." Journal of Theoretical and Applied Electronic Commerce Research 16, no. 5 (June 18, 2021): 1912–28. http://dx.doi.org/10.3390/jtaer16050107.

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This study investigated the effect of perceived technology quality and personalization quality on behavioral intentions, mediated by perceived empathy in using an artificial intelligence (AI) recommendation service. The study was based on a theoretical model of artificial intelligent device use acceptance. We also tested the moderating effect of individuals’ need for cognition, influencing empathy. Data collection was conducted through an online survey using a nationally recognized consumer research panel service in Korea. The participants were asked to respond to their preferences and needs on sneakers; then, they randomly experienced the AI (versus human expert) recommendation service that offers a recommended product. A total of 200 data were analyzed using SPSS 21.0 for descriptive statistics, reliability analysis, and PROCESS analysis, and AMOS 21.0 for confirmatory factor analysis and structural equation modeling (SEM). Results revealed that, compared with the human (expert) recommendation service, the AI recommendation service increased perceived technology quality, which increased personalization quality. Technology and personalization quality had a positive influence on behavioral intentions, mediated by perceived empathy. In addition, when individuals had a high level of need for cognition, the effect of personalization quality on empathy was stronger. However, individuals with a low level of need for cognition perceived greater empathy, as technology quality increased. The findings of the current study improve understanding of how consumers accept AI technology-driven services in the online shopping context.

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Holmes, Mary Beth, and Julie Ann Starr. "A Comparison of Doctor of Physical Therapy Students’ Self-Reported Empathy With Standardized Patients Perceptions of Empathy During a Simulated Telehealth Encounter." Journal of Patient Experience 9 (January 2022): 237437352211122. http://dx.doi.org/10.1177/23743735221112226.

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Empathy is an important factor in developing a positive patient–provider relationship. It has been shown to lead to improved patient outcomes, well-being, and satisfaction. This study examines the relationship between first-year physical therapy students’ self-reported empathy levels and a patient's perceptions of caregiver empathy during a standardized patient interview via telehealth. Forty-five students completed a self-reported empathy survey before the standardized patient encounter using telehealth. Following the experience, standardized patients rated the perceived empathy demonstrated by the students during that patient–provider encounter using 2 validated measures. The mean student self-reported empathy using the Jefferson Scale of Empathy-Health Care Provider Student (JSE-HPS) version was 123.93 (range 95-135 SD 7.328). The standardized Jefferson Scale of Patient Perception of Provider Empathy (JSPPPE) scores showed a mean of 23.8 (range 11-32 SD 3.951) and a mean of 3.16 (range 1-5 SD.85) on the Global Rating of Empathy (GRE). There was no significant correlation found between the JSE-HPS and the JSPPPE, r = −.47, P = .760, or the GRE r = −.166, P = .276. The artificial nature of a standardized patient interaction using the telehealth format for this encounter may have contributed to the students’ inability to communicate empathy to the patient and may explain this discrepancy.

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Grazuleviciūtė-Vileniskė, Indrė, and Huriye Doğan. "Empathy with place: understanding the concept and application of an artistic research approach using AI-based tools." Spatium, no. 48 (2022): 57–68. http://dx.doi.org/10.2298/spat220324015g.

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Empathy - the projection of a subjective state into an object using one?s imagination, so that the object appears to be infused with this state - can be experienced not only on an interpersonal level but also with animals, machines, ecosystems and places. The importance of empathy in design and other place-related practices is currently acknowledged by researchers and designers. The aim of this research was to develop a theory-grounded artistic research approach using Artificial Intelligence (AI) based tools in order to stimulate connection with a place and induce empathy with the place. The first section of the article presents a literature analysis and systematisation in connection with place, empathy, and human-place relationships. Selected theoretical landscape models are analysed in order to reveal the theoretical premises for human-place relationships involving empathy. The second section includes the presentation of the proposed methodology for artistic research, the application of the methodology in two historical localities for recreation (Panemune and Kulautuva) situated in and around the city of Kaunas (Lithuania), and an assessment of the results using an approach based on self-reflection and autoethnography. The research proves that it is possible to develop artworks using AI-based tools to create a connection between human beings, places and artificial intelligence. The creation of the artworks induced biophilic and topophilic reactions to the places chosen by the creators, as well as the experience of the genius loci and empathy with the places in which the artistic research was carried out.

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Macagno, Fabrizio, Chrysi Rapanta, Elisabeth Mayweg-Paus, and Mercè Garcia-Milà. "Coding empathy in dialogue." Journal of Pragmatics 192 (April 2022): 116–32. http://dx.doi.org/10.1016/j.pragma.2022.02.011.

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Lee, Billy. "Empathy, androids and ‘authentic experience’." Connection Science 18, no. 4 (December 2006): 419–28. http://dx.doi.org/10.1080/09540090600868847.

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Sierra Rativa, Alexandra, Marie Postma, and Menno Van Zaanen. "The Influence of Game Character Appearance on Empathy and Immersion: Virtual Non-Robotic Versus Robotic Animals." Simulation & Gaming 51, no. 5 (July 2, 2020): 685–711. http://dx.doi.org/10.1177/1046878120926694.

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Background. Empathic interactions with animated game characters can help improve user experience, increase immersion, and achieve better affective outcomes related to the use of the game. Method. We used a 2x2 between-participant design and a control condition to analyze the impact of the visual appearance of a virtual game character on empathy and immersion. The four experimental conditions of the game character appearance were: Natural (virtual animal) with expressiveness (emotional facial expressions), natural (virtual animal) with non-expressiveness (without emotional facial expressions), artificial (virtual robotic animal) with expressiveness (emotional facial expressions), and artificial (virtual robotic animal) with non-expressiveness (without emotional facial expressions). The control condition contained a baseline amorphous game character. 100 participants between 18 to 29 years old (M=22.47) were randomly assigned to one of five experimental groups. Participants originated from several countries: Aruba (1), China (1), Colombia (3), Finland (1), France (1), Germany (1), Greece (2), Iceland (1), India (1), Iran (1), Ireland (1), Italy (3), Jamaica (1), Latvia (1), Morocco (3), Netherlands (70), Poland (1), Romania (2), Spain (1), Thailand (1), Turkey (1), United States (1), and Vietnam (1). Results. We found that congruence in appearance and facial expressions of virtual animals (artificial + non-expressive and natural + expressive) leads to higher levels of self-reported situational empathy and immersion of players in a simulated environment compared to incongruent appearance and facial expressions. Conclusions. The results of this investigation showed an interaction effect between artificial/natural body appearance and facial expressiveness of a virtual character’s appearance. The evidence from this study suggests that the appearance of the virtual animal has an important influence on user experience.

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VENTURA, RODRIGO. "EMOTIONS AND EMPATHY: A BRIDGE BETWEEN NATURE AND SOCIETY?" International Journal of Machine Consciousness 02, no. 02 (December 2010): 343–61. http://dx.doi.org/10.1142/s1793843010000539.

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Berthoz, Alain, and Bérangère Thirioux. "A Spatial and Perspective Change Theory of the Difference Between Sympathy and Empathy." Paragrana 19, no. 1 (November 2010): 32–61. http://dx.doi.org/10.1524/para.2010.0003.

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AbstractEmpathy is a multicomponent faculty of the human brain which is funda-mental for social interactions.Understanding its behavioural, cognitive, emotional neural mechanisms and pathology is a major interdisciplinary challenge..Here we propose, in relation with a modern conception of the Philosophical tradition of Phenomenology and a primary role of cognitive embodiement, a new theory in which we give an important although not exclusive, role to the brain mechanisms which also are involved in spatial cognition: we show, that there is a basic difference between *sympathy* and *empathy*. Whether sympathy is akin to emotional contagion and does not require the siubject to adopt the point of view of others, empathy requires a dynamic and complex manipulation of spatial reference frames. We give an example of an experiment using virtual reality in which a subject interacts with an artificial tight rope walker and discuss also the possible interindividual differences, and gender differences, in the different strategies used by subjects to have an empathic relationship.

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Paiva, Ana, Iolanda Leite, Hana Boukricha, and Ipke Wachsmuth. "Empathy in Virtual Agents and Robots." ACM Transactions on Interactive Intelligent Systems 7, no. 3 (October 9, 2017): 1–40. http://dx.doi.org/10.1145/2912150.

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SONAWANE, KESHAV, and SANCHIT KHANDALKAR. "Can ChatGpt Replace Humans?" INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 12 (December 23, 2023): 1–6. http://dx.doi.org/10.55041/ijsrem27743.

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This study investigates the viability of ChatGPT as a replacement for human interaction. Through empirical analysis, the paper assesses ChatGPT's performance in comparison to human communication, considering empathy, context comprehension, and nuanced dialogue. Ethical implications, including privacy and bias concerns, are explored. Findings reveal ChatGPT's strengths and underscore the irreplaceable aspects of human interaction. The paper advocates for a balanced integration where ChatGPT enhances, rather than replaces, human communication. Keywords: ChatGPT, artificial intelligence, human- computer interaction, empathy, ethical considerations.

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Kouzov, Orlin. "Art, Social and Culture Education Supported by Artificial Intelligence Tools." Digital Presentation and Preservation of Cultural and Scientific Heritage 8 (September 3, 2018): 111–20. http://dx.doi.org/10.55630/dipp.2018.8.9.

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The use of tools, based on AI, will become a regular practice in education due to the dynamic social development. The role of the artificial intelligence in social sciences, arts and culture is key to the achievement of emotional empathy of people in view of the future symbiosis of man and machine.

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Asada, Minoru. "Artificial Pain May Induce Empathy, Morality, and Ethics in the Conscious Mind of Robots." Philosophies 4, no. 3 (July 13, 2019): 38. http://dx.doi.org/10.3390/philosophies4030038.

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In this paper, a working hypothesis is proposed that a nervous system for pain sensation is a key component for shaping the conscious minds of robots (artificial systems). In this article, this hypothesis is argued from several viewpoints towards its verification. A developmental process of empathy, morality, and ethics based on the mirror neuron system (MNS) that promotes the emergence of the concept of self (and others) scaffolds the emergence of artificial minds. Firstly, an outline of the ideological background on issues of the mind in a broad sense is shown, followed by the limitation of the current progress of artificial intelligence (AI), focusing on deep learning. Next, artificial pain is introduced, along with its architectures in the early stage of self-inflicted experiences of pain, and later, in the sharing stage of the pain between self and others. Then, cognitive developmental robotics (CDR) is revisited for two important concepts—physical embodiment and social interaction, both of which help to shape conscious minds. Following the working hypothesis, existing studies of CDR are briefly introduced and missing issues are indicated. Finally, the issue of how robots (artificial systems) could be moral agents is addressed.

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Amedior, Nutifafa Cudjoe. "Ethical Implications of Artificial Intelligence in the Healthcare Sector." Advances in Multidisciplinary and scientific Research Journal Publication 36 (June 23, 2023): 1–12. http://dx.doi.org/10.22624/aims/accrabespoke2023p1.

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This research paper examines the ethical implications of AI in healthcare, covering the benefits and risks of using AI in healthcare services and provision. The paper highlights the applications of AI in healthcare, which can improve efficiency and accuracy of providing healthcare services by health professionals. The benefits of AI cover reducing the need for human intervention and increasing productivity through automation, delivering personalised experiences by recommendations, assisting with informed decision-making by providing real-time data analysis and insights, predicting outcomes or identifying potential threats, improving healthcare and overall customer satisfaction. The paper highlights the ethical implications of the use of AI in healthcare, including privacy and security, bias and discrimination, transparency and explainability, responsibility and accountability, informed consent and human interaction and empathy. The paper recommends that as AI becomes more prevalent in healthcare, establishing clear guidelines for responsible use, and maintaining the importance of human interaction and empathy in patient care, enhances healthcare outcomes while safeguarding patient rights and welfare. Continued research and development of the ethical implications of AI in healthcare for low-income countries as further work can promote the ethical use of AI in healthcare worldwide. Keywords: Artificial Intelligence, Ethics, Ethical Implication, Healthcare, Privacy

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Tao, Xingyu, Hiroki Matsuo, and Tomomi Hashimoto. "A Method of Empathy Robotics Based on Disgust." Journal of Advanced Computational Intelligence and Intelligent Informatics 26, no. 6 (November 20, 2022): 1046–52. http://dx.doi.org/10.20965/jaciii.2022.p1046.

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In this paper, we propose an empathy method for communicating robots, aiming to realize robots with human-like empathy. The proposed method determines whether the robot empathizes with humans by obtaining an empathy coefficient from the robot’s own emotions and the estimated human emotions. Weiner’s empathy experiment with a sick person showed that the robot exhibited an internal state similar to that of characters inferred from the scenario. In addition, we conducted an impression evaluation experiment on the robot’s response with and without empathy and found a significant difference at the 5% level of significance in the Mann–Whitney U test. Therefore, the effectiveness of the proposed method is suggested.

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Anshar, Muh, and Mary-Anne Williams. "Evolving robot empathy towards humans with motor disabilities through artificial pain generation." AIMS Neuroscience 5, no. 1 (2018): 56–73. http://dx.doi.org/10.3934/neuroscience.2018.1.56.

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Chen, Jize, Dali Zhang, Zhenshen Qu, and Changhong Wang. "Artificial Empathy: A New Perspective for Analyzing and Designing Multi-Agent Systems." IEEE Access 8 (2020): 183649–64. http://dx.doi.org/10.1109/access.2020.3029502.

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Iyer, Ramya R. "Marriage of Artificial Intelligence and Real Empathy in Health Communication on Cards!" Journal of Indian Association of Public Health Dentistry 22, no. 1 (2024): 4–5. http://dx.doi.org/10.4103/jiaphd.jiaphd_281_23.

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Yalçın, Özge Nilay. "Empathy framework for embodied conversational agents." Cognitive Systems Research 59 (January 2020): 123–32. http://dx.doi.org/10.1016/j.cogsys.2019.09.016.

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Campbell, Matthew W., J. Devyn Carter, Darby Proctor, Michelle L. Eisenberg, and Frans B. M. de Waal. "Computer animations stimulate contagious yawning in chimpanzees." Proceedings of the Royal Society B: Biological Sciences 276, no. 1676 (September 9, 2009): 4255–59. http://dx.doi.org/10.1098/rspb.2009.1087.

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People empathize with fictional displays of behaviour, including those of cartoons and computer animations, even though the stimuli are obviously artificial. However, the extent to which other animals also may respond empathetically to animations has yet to be determined. Animations provide a potentially useful tool for exploring non-human behaviour, cognition and empathy because computer-generated stimuli offer complete control over variables and the ability to program stimuli that could not be captured on video. Establishing computer animations as a viable tool requires that non-human subjects identify with and respond to animations in a way similar to the way they do to images of actual conspecifics. Contagious yawning has been linked to empathy and poses a good test of involuntary identification and motor mimicry. We presented 24 chimpanzees with three-dimensional computer-animated chimpanzees yawning or displaying control mouth movements. The apes yawned significantly more in response to the yawn animations than to the controls, implying identification with the animations. These results support the phenomenon of contagious yawning in chimpanzees and suggest an empathic response to animations. Understanding how chimpanzees connect with animations, to both empathize and imitate, may help us to understand how humans do the same.

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Cui, Zhongliang, and Jing Liu. "A Study on Two Conditions for the Realization of Artificial Empathy and Its Cognitive Foundation." Philosophies 7, no. 6 (November 29, 2022): 135. http://dx.doi.org/10.3390/philosophies7060135.

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The realization of artificial empathy is conditional on the following: on the one hand, human emotions can be recognized by AI and, on the other hand, the emotions presented by artificial intelligence are consistent with human emotions. Faced with these two conditions, what we explored is how to identify emotions, and how to prove that AI has the ability to reflect on emotional consciousness in the process of cognitive processing, In order to explain the first question, this paper argues that emotion identification mainly includes the following three processes: emotional perception, emotional cognition and emotional reflection. It proposes that emotional display mainly includes the following three dimensions: basic emotions, secondary emotions and abstract emotions. On this basis, the paper proposes that the realization of artificial empathy needs to meet the following three cognitive processing capabilities: the integral processing ability of external emotions, the integral processing ability of proprioceptive emotions and the processing ability of integrating internal and external emotions. We are open to whether the second difficulty can be addressed. In order to gain the reflective ability of emotional consciousness for AI, the paper proposes that artificial intelligence should include consistency on identification of external emotions and emotional expression, processing of ontological emotions and external emotions, integration of internal and external emotions and generation of proprioceptive emotions.

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Amedior, Nutifafa Cudjoe. "Ethical Implications of Artificial Intelligence in the Healthcare Sector." Advances in Multidisciplinary and scientific Research Journal Publication 36 (April 23, 2023): 1–12. http://dx.doi.org/10.22624/aims-/accrabespoke2023p1.

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This research paper examines the ethical implications of AI in healthcare, covering the benefits and risks of using AI in healthcare services and provision. The paper highlights the applications of AI in healthcare, which can improve efficiency and accuracy of providing healthcare services by health professionals. The benefits of AI cover reducing the need for human intervention and increasing productivity through automation, delivering personalised experiences by recommendations, assisting with informed decision-making by providing real-time data analysis and insights, predicting outcomes or identifying potential threats, improving healthcare and overall customer satisfaction. The paper highlights the ethical implications of the use of AI in healthcare, including privacy and security, bias and discrimination, transparency and explainability, responsibility and accountability, informed consent and human interaction and empathy. The paper recommends that as AI becomes more prevalent in healthcare, establishing clear guidelines for responsible use, and maintaining the importance of human interaction and empathy in patient care, enhances healthcare outcomes while safeguarding patient rights and welfare. Continued research and development of the ethical implications of AI in healthcare for low-income countries as further work can promote the ethical use of AI in healthcare worldwide. Keywords: Artificial Intelligence, Ethics, Ethical Implication, Healthcare, Privacy Proceedings Citation Format Amedior, N.C. Nutifafa Cudjoe Amedior (2022): Ethical Implications of Artificial Intelligence in the Healthcare Sector. Proceedings of the 36th iSTEAMS Accra Bespoke Multidisciplinary Innovations Conference. University of Ghana/Academic City University College, Accra, Ghana. 31st May – 2nd June, 2023. Pp 1-12 www.isteams.net/ecowasetech2022. dx.doi.org/10.22624/AIMS-/ACCRABESPOKE2023P1

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Bakhteev, D. V. "Ethical-Legal Models of the Society Interactions with the Artificial Intelligence Technology." Journal of Digital Technologies and Law 1, no. 2 (June 17, 2023): 520–39. http://dx.doi.org/10.21202/jdtl.2023.22.

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Objective: to explore the modern condition of the artificial intelligence technology in forming prognostic ethical-legal models of the society interactions with the end-to-end technology under study.Methods: the key research method is modeling. Besides, comparative, abstract-logic and historical methods of scientific cognition were applied.Results: four ethical-legal models of the society interactions with the artificial intelligence technology were formulated: the tool (based on using an artificial intelligence system by a human), the xenophobia (based on competition between a human and an artificial intelligence system), the empathy (based on empathy and co-adaptation of a human and an artificial intelligence system), and the tolerance (based on mutual exploitation and cooperation between a human and artificial intelligence systems) models. Historical and technical prerequisites for such models formation are presented. Scenarios of the legislator reaction on using this technology are described, such as the need for selective regulation, rejection of regulation, or a full-scale intervention into the technological economy sector. The models are compared by the criteria of implementation conditions, advantages, disadvantages, character of “human – artificial intelligence system” relations, probable legal effects and the need for regulation or rejection of regulation in the sector.Scientific novelty: the work provides assessment of the existing opinions and approaches, published in the scientific literature and mass media, analyzes the technical solutions and problems occurring in the recent past and present. Theoretical conclusions are confirmed by references to applied situations of public or legal significance. The work uses interdisciplinary approach, combining legal, ethical and technical constituents, which, in the author’s opinion, are criteria for any modern socio-humanitarian researches of the artificial intelligence technologies.Practical significance: the artificial intelligence phenomenon is associated with the fourth industrial revolution; hence, this digital technology must be researched in a multi-aspectual and interdisciplinary way. The approaches elaborated in the article can be used for further technical developments of intellectual systems, improvements of branch legislation (for example, civil and labor), and for forming and modifying ethical codes in the sphere of development, introduction and use of artificial intelligence systems in various situations.

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Han, Byeong-in. "Neophilia for Digital Literacy and Empathy in Writing Using AI: Focusing on Understanding and Applying ChatGPT in Writing." Korean Society of Culture and Convergence 45, no. 10 (October 31, 2023): 917–28. http://dx.doi.org/10.33645/cnc.2023.10.45.10.917.

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This paper attempted to examine digital literacy in writing using artificial intelligence and find a reasonable application plan to suit future writing. Today, the development of conversational artificial intelligence platforms enables information sharing and is being applied to writing in various forms. However, since there are pros and cons to using artificial intelligence in writing, it is necessary to closely examine the current application standards and apply them to academic writing. Considering this situation, this paper attempted to examine desirable legal standards and unreasonable cases, focusing on the application of ChatGPT (conversational artificial intelligence), which was launched in early 2023. In addition, it was designed to check in advance inappropriate results in writing using ChatGPT by referring to the opinions of philosophers who proposed creative writing. Today, finding a direction that suits reality is an important task in writing using artificial intelligence, so this study will help find timely value and future predictability.

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Kerasidou, Angeliki. "Considering the Role and Nature of Empathy, Compassion and Trust in the Era of AI in Healthcare." Studia Universitatis Babeş-Bolyai Bioethica 66, Special Issue (September 9, 2021): 104. http://dx.doi.org/10.24193/subbbioethica.2021.spiss.66.

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"Empathy, compassion and trust are fundamental values of a patient-centred, relational model of care. In recent years, quest for greater efficiency, including economic efficiency, has often resulted in the side-lining of these values, making their practice difficult. Artificial Intelligence (AI) is increasingly entering healthcare promising greater efficiency and more free time for healthcare professionals to focus on the humanist side of care, including fostering trust relationships and engaging with patients with empathy and compassion. This paper problematises the vision of efficient, empathetic and trustworthy care put forward by the AI proponents. It suggests that AI has the potential to fundamental alter the way in which empathy compassion and trust are currently considered and practiced. Moving forward, it is important to re-evaluate whether and how these values could be incorporated and exercised in an era of AI healthcare, but most importantly to re-examine what kind of healthcare society ought to promote. "

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Kerasidou, Angeliki. "Artificial intelligence and the ongoing need for empathy, compassion and trust in healthcare." Bulletin of the World Health Organization 98, no. 4 (January 27, 2020): 245–50. http://dx.doi.org/10.2471/blt.19.237198.

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GÜLTEKİN, Mücahit. "Could Robots Empatize? A Review on The Employment of Social Robots in Mental Healthcare." Türk Psikolojik Danışma ve Rehberlik Dergisi 12, no. 67 (December 31, 2022): 593–618. http://dx.doi.org/10.17066/tpdrd.12250405.

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The advances in artificial intelligence and robotics began to transform business and human relations. The employment of robots in health, education, entertainment and rehabilitation as well as industries introduced the concept of "social robots". Although there is no consensus on the definition of the concept, robots with some degree of autonomy and could conduct meaningful social interactions with humans are considered social robots. Studies have been conducted on the employment of social robots in mental health services. Studies have been conducted on the employment of social robots in mental health services. The effectiveness of social robots in the treatment of anxiety, stress, depression, anger, and eating disorders, especially dementia and autism spectrum disorder, has also been investigated. The question of “can robots empathize” is a significant topic in research that focus on human-robot interactions. Robotic empathy studies were conducted with two dimensions of human empathy for robots and robot empathy for humans and led to various philosophical and ethical discussions. Some argued that robot-human interaction leads to new opportunities in mental health services, while others criticized the use of robots since it could increase human solitude, blur the line between reality and virtuality perceptions and the distinction between ontological categories. The present literature review aimed to discuss the concepts of artificial intelligence, robots, and social robots, provide information about the studies on the employment of social robots in mental healthcare, and address the studies and views based on the question "can social robots empathize?"

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Sobczyk, Andy. "Lawmakers Grapple with Artificial Intelligence Regulation as Popularity and Utilization Grow." Healthcare Administration Leadership & Management Journal 1, no. 3 (August 8, 2023): 99. http://dx.doi.org/10.55834/halmj.8506325413.

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The integration of AI technologies like ChatGPT in healthcare is gaining traction and demonstrating potential in various areas. However, amidst the rapid growth and promising results, caution is advised as leaders stress the importance of responsible implementation and the need for human oversight to ensure accuracy, empathy, and adherence to ethical standards. As AI continues to evolve and impact the healthcare landscape, it is crucial for policymakers, healthcare providers, and technology developers to collaborate and establish appropriate regulations that balance innovation with patient safety and privacy.

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Arisanti, Yuli. "Tantangan Etika di Bidang Perhotelan pada Era Artificial Intelligence." Ideas: Jurnal Pendidikan, Sosial, dan Budaya 9, no. 4 (November 24, 2023): 1247. http://dx.doi.org/10.32884/ideas.v9i4.1541.

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The use of AI (artificial intelligence) has penetrated the hospitality sector, thereby requiring ethical guidelines. Research to explain ethical challenges in the hospitality sector. The research was carried out using the literature study method. The research results show that ethical challenges are fairness, reliability, security, privacy, security, inclusiveness, transparency and accountability. Ethics in non-technical fields such as employee reduction issues, employee dedication. The hotel industry needs to understand ethics in both technical and non-technical fields. Criteria for leaders needed in the AI era in the hospitality sector who have ACKEH (Agile, Communication, Knowledge, Ethics, Empathy, and Hospitality) skills. This research provides solutions to face AI ethical challenges and enriches literacy in the field.

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SUAREZ, Franyelit M., Luis E. ORTIZ, and Luis D. ROSALES. "Stress psychology and its analysis from artificial intelligence." Espacios 41, no. 45 (November 26, 2020): 172–80. http://dx.doi.org/10.48082/espacios-a20v41n45p14.

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A review of emotions from cognitive brain processes is presented, taking into account some experimental neurobiological studies. Sensory systems, physiological reactions of the central nervous system, and emotional stimuli are evaluated. It is evident that subjective expressions and physical reactions of emotions are conditioned to social patterns, family customs and mainly to moral stereotypes of people. Artificial intelligence is used, with state vector machine for the pro-cessing of human biological signals. Among the observed characteristics, self-sanctioning emo-tions and those of empathy with the other prevail. Finally it was possible to recognize that the restriction of emotions in people can cause psychological behaviors that harm their relationship with the environment. It produces antisocial behaviors, lack of understanding of the feelings of others, breach of the rules, among other activities and social standards.

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Powell, John. "Trust Me, I’m a Chatbot: How Artificial Intelligence in Health Care Fails the Turing Test." Journal of Medical Internet Research 21, no. 10 (October 28, 2019): e16222. http://dx.doi.org/10.2196/16222.

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Over the next decade, one issue which will dominate sociotechnical studies in health informatics is the extent to which the promise of artificial intelligence in health care will be realized, along with the social and ethical issues which accompany it. A useful thought experiment is the application of the Turing test to user-facing artificial intelligence systems in health care (such as chatbots or conversational agents). In this paper I argue that many medical decisions require value judgements and the doctor-patient relationship requires empathy and understanding to arrive at a shared decision, often handling large areas of uncertainty and balancing competing risks. Arguably, medicine requires wisdom more than intelligence, artificial or otherwise. Artificial intelligence therefore needs to supplement rather than replace medical professionals, and identifying the complementary positioning of artificial intelligence in medical consultation is a key challenge for the future. In health care, artificial intelligence needs to pass the implementation game, not the imitation game.

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Van Der Bolt, Lilian, and Saskia Tellegen. "The Connection between the Reading of Books and the Development of Sympathy and Empathy." Imagination, Cognition and Personality 14, no. 3 (March 1995): 247–60. http://dx.doi.org/10.2190/p4r8-kpkg-0b0c-r4lt.

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Interactions with others in our social milieu make it possible to sharpen our emotional intelligence and to develop skills such as empathy and sympathy. The reading of books can be considered as an alternative way to accomplish such interactions. Of course, this interaction is artificial, but precisely herein lies hidden the enormous power of this medium: It offers the reader the power to enter into a limitless range of contexts and emotion ‘scenario's’ together with the fictional character. It offers the possibilities for examining uncommon emotional experiences and experimenting with them without too many ‘risks’ to the reader. In preliminary exploratory research on emotional involvement in the reading of books, questionnaires were completed by 198 pupils age nine to fifteen. From analysis of this research-material it appears that children who read frequently report more involvement concerning empathy and sympathy compared to children who read less frequently. From that, we can conclude with reasonable prudence that the reading of books correlates positively with the process of development in sympathy and empathy.

Journal articles on the topic 'Artificial empathy'

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