Journal articles: 'Human-Centered Artificial Intelligence'

1

Cheruvu, Ria. "Unconventional Concerns for Human-Centered Artificial Intelligence." Computer 55, no. 7 (July 2022): 46–55. http://dx.doi.org/10.1109/mc.2022.3170423.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Riedl, Mark O. "Human‐centered artificial intelligence and machine learning." Human Behavior and Emerging Technologies 1, no. 1 (January 2019): 33–36. http://dx.doi.org/10.1002/hbe2.117.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Ozmen Garibay, Ozlem, Brent Winslow, Salvatore Andolina, Margherita Antona, Anja Bodenschatz, Constantinos Coursaris, Gregory Falco, et al. "Six Human-Centered Artificial Intelligence Grand Challenges." International Journal of Human–Computer Interaction 39, no. 3 (January 2, 2023): 391–437. http://dx.doi.org/10.1080/10447318.2022.2153320.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Shneiderman, Ben. "Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy." International Journal of Human–Computer Interaction 36, no. 6 (March 23, 2020): 495–504. http://dx.doi.org/10.1080/10447318.2020.1741118.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Pisoni, Galena, Natalia Díaz-Rodríguez, Hannie Gijlers, and Linda Tonolli. "Human-Centered Artificial Intelligence for Designing Accessible Cultural Heritage." Applied Sciences 11, no. 2 (January 19, 2021): 870. http://dx.doi.org/10.3390/app11020870.

Full text

Abstract:

This paper reviews the literature concerning technology used for creating and delivering accessible museum and cultural heritage sites experiences. It highlights the importance of the delivery suited for everyone from different areas of expertise, namely interaction design, pedagogical and participatory design, and it presents how recent and future artificial intelligence (AI) developments can be used for this aim, i.e.,improving and widening online and in situ accessibility. From the literature review analysis, we articulate a conceptual framework that incorporates key elements that constitute museum and cultural heritage online experiences and how these elements are related to each other. Concrete opportunities for future directions empirical research for accessibility of cultural heritage contents are suggested and further discussed.

APA, Harvard, Vancouver, ISO, and other styles

6

Veitch, Erik, and Ole Andreas Alsos. "Human-Centered Explainable Artificial Intelligence for Marine Autonomous Surface Vehicles." Journal of Marine Science and Engineering 9, no. 11 (November 6, 2021): 1227. http://dx.doi.org/10.3390/jmse9111227.

Full text

Abstract:

Explainable Artificial Intelligence (XAI) for Autonomous Surface Vehicles (ASVs) addresses developers’ needs for model interpretation, understandability, and trust. As ASVs approach wide-scale deployment, these needs are expanded to include end user interactions in real-world contexts. Despite recent successes of technology-centered XAI for enhancing the explainability of AI techniques to expert users, these approaches do not necessarily carry over to non-expert end users. Passengers, other vessels, and remote operators will have XAI needs distinct from those of expert users targeted in a traditional technology-centered approach. We formulate a concept called ‘human-centered XAI’ to address emerging end user interaction needs for ASVs. To structure the concept, we adopt a model-based reasoning method for concept formation consisting of three processes: analogy, visualization, and mental simulation, drawing from examples of recent ASV research at the Norwegian University of Science and Technology (NTNU). The examples show how current research activities point to novel ways of addressing XAI needs for distinct end user interactions and underpin the human-centered XAI approach. Findings show how representations of (1) usability, (2) trust, and (3) safety make up the main processes in human-centered XAI. The contribution is the formation of human-centered XAI to help advance the research community’s efforts to expand the agenda of interpretability, understandability, and trust to include end user ASV interactions.

APA, Harvard, Vancouver, ISO, and other styles

7

Ford, Kenneth M., Patrick J. Hayes, Clark Glymour, and James Allen. "Cognitive Orthoses: Toward Human-Centered AI." AI Magazine 36, no. 4 (December 31, 2015): 5–8. http://dx.doi.org/10.1609/aimag.v36i4.2629.

Full text

Abstract:

This introduction focuses on how human-centered computing (HCC) is changing the way that people think about information technology. The AI perspective views this HCC framework as embodying a systems view, in which human thought and action are linked and equally important in terms of analysis, design, and evaluation. This emerging technology provides a new research outlook for AI applications, with new research goals and agendas.

APA, Harvard, Vancouver, ISO, and other styles

8

Mehta, Ranjana K., Jason Moats, Rohith Karthikeyan, Joseph L. Gabbard, Divya Srinivasan, Eric Jing Du, Alexander Leonessa, Garret Burks, Andrew Stephenson, and Ron Fernandes. "Human‐centered intelligent training for emergency responders." AI Magazine 43, no. 1 (March 2022): 83–92. http://dx.doi.org/10.1002/aaai.12041.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Mehta, Ranjana, Jason Moats, Rohith Karthikeyan, Joseph Gabbard, Divya Srinivasan, Eric Du, Alexander Leonessa, Garret Burks, Andrew Stephenson, and Ron Fernandes. "Human-Centered Intelligent Training for Emergency Responders." AI Magazine 43, no. 1 (March 31, 2022): 83–92. http://dx.doi.org/10.1609/aimag.v43i1.19129.

Full text

Abstract:

Emergency response (ER) workers perform extremely demanding physical and cognitive tasks that can result in serious injuries and loss of life. Human augmentation technologies have the potential to enhance physical and cognitive work-capacities, thereby dramatically transforming the landscape of ER work, reducing injury risk, improving ER, as well as helping attract and retain skilled ER workers. This opportunity has been significantly hindered by the lack of high-quality training for ER workers that effectively integrates innovative and intelligent augmentation solutions. Hence, new ER learning environments are needed that are adaptive, affordable, accessible, and continually available for reskilling the ER workforce as technological capabilities continue to improve. This article presents the research considerations in the design and integration of use-inspired exoskeletons and augmented reality technologies in ER processes and the identification of unique cognitive and motor learning needs of each of these technologies in context-independent and ER-relevant scenarios. We propose a human-centered artificial intelligence (AI) enabled training framework for these technologies in ER. Finally, how these human-centered training requirements for nascent technologies are integrated in an intelligent tutoring system that delivers across tiered access levels, covering the range of virtual, to mixed, to physical reality environments, is discussed.

APA, Harvard, Vancouver, ISO, and other styles

10

Correia, Joachim Hereth, Gerd Stumme, Rudolf Wille, and Uta Wille. "Conceptual knowledge discovery--a human-centered approach." Applied Artificial Intelligence 17, no. 3 (March 2003): 281–302. http://dx.doi.org/10.1080/713827122.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Zhou, Michelle X. "Introduction to the Special Column for Human-Centered Artificial Intelligence." ACM Transactions on Interactive Intelligent Systems 11, no. 3-4 (December 31, 2021): 1. http://dx.doi.org/10.1145/3490553.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Contreras-Vidal, Jose L., Atilla Kilicarslan, He (Helen) Huang, and Robert G. Grossman. "Human-Centered Design of Wearable Neuroprostheses and Exoskeletons." AI Magazine 36, no. 4 (December 31, 2015): 12–22. http://dx.doi.org/10.1609/aimag.v36i4.2613.

Full text

Abstract:

Human-centered design of wearable robots involves the development of innovative science and technologies that minimize the mismatch between humans’ and machines’ capabilities, leading to their intuitive integration and confluent interaction. Here, we summarize our human-centered approach to the design of closed-loop brain-machine interfaces (BMI) to powered prostheses and exoskeletons that allow people to act beyond their impaired or diminished physical or sensory-motor capabilities. The goal is to develop multifunctional human-machine interfaces with integrated diagnostic, assistive and therapeutic functions. Moreover, these complex human-machine systems should be effective, reliable, safe and engaging and support the patient in performing intended actions with minimal effort and errors with adequate interaction time. To illustrate our approach, we review an example of a user-in-the-loop, patient-centered, non-invasive BMI system to a powered exoskeleton for persons with paraplegia. We conclude with a summary of challenges to the translation of these complex human-machine systems to the end-user.

APA, Harvard, Vancouver, ISO, and other styles

13

Renz, André, and Gergana Vladova. "Reinvigorating the Discourse on Human-Centered Artificial Intelligence in Educational Technologies." Technology Innovation Management Review 11, no. 5 (June 1, 2021): 5–16. http://dx.doi.org/10.22215/timreview/1438.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Konstan, Joseph, and Loren Terveen. "Human-Centered Recommender Systems: Origins, Advances, Challenges, and Opportunities." AI Magazine 42, no. 3 (November 20, 2021): 31–42. http://dx.doi.org/10.1609/aimag.v42i3.18142.

Full text

Abstract:

From the earliest days of the field, Recommender Systems research and practice has struggled to balance and integrate approaches that focus on recommendation as a machine learning or missing-value problem with ones that focus on machine learning as a discovery tool and perhaps persuasion platform. In this article, we review 25 years of recommender systems research from a human-centered perspective, looking at the interface and algorithm studies that advanced our understanding of how system designs can be tailored to users objectives and needs. At the same time, we show how external factors, including commercialization and technology developments, have shaped research on human-centered recommender systems. We show how several unifying frameworks have helped developers and researchers alike incorporate thinking about user experience and human decision-making into their designs. We then review the challenges, and the opportunities, in today’s recommenders, looking at how deep learning and optimization techniques can integrate with both interface designs and human performance statistics to improve recommender effectiveness and usefulness

APA, Harvard, Vancouver, ISO, and other styles

15

Mellamphy, Nandita Biswas. "Humans “in the Loop”?" Nature and Culture 16, no. 1 (March 1, 2021): 11–27. http://dx.doi.org/10.3167/nc.2020.160102.

Full text

Abstract:

Abstract More and more scholarly attention is being paid to the challenges of governing artificial intelligence and emergent technologies. Most of the focus remains on questions of how to preserve the human-centeredness of increasingly advancing machine-driven technologies. I problematize discourses of “human-centered AI” that prioritize human control over nonhuman intelligences as a solution for the challenges posed by emergent technologies like artificial intelligence. Posthumanism provides a compelling theoretical basis for this line of questioning and for reimagining alternative ethical constructs. I outline and consider three distinct scenarios in which (a) humans are at the center of command and control, (b) humans and nonhumans share control, (c) human oversight is completely removed. I suggest that more attention could be given to critical and speculative ways of reimagining the concepts of “human,” “nonhuman,” and human/nonhuman relations.

APA, Harvard, Vancouver, ISO, and other styles

16

Biswas Mellamphy, Nandita. "Humans “in the Loop”?" Nature and Culture 16, no. 1 (March 1, 2021): 11–27. http://dx.doi.org/10.3167/nc.2021.160102.

Full text

Abstract:

More and more scholarly attention is being paid to the challenges of governing artificial intelligence and emergent technologies. Most of the focus remains on questions of how to preserve the human-centeredness of increasingly advancing machine-driven technologies. I problematize discourses of “human-centered AI” that prioritize human control over nonhuman intelligences as a solution for the challenges posed by emergent technologies like artificial intelligence. Posthumanism provides a compelling theoretical basis for this line of questioning and for reimagining alternative ethical constructs. I outline and consider three distinct scenarios in which (a) humans are at the center of command and control, (b) humans and nonhumans share control, (c) human oversight is completely removed. I suggest that more attention could be given to critical and speculative ways of reimagining the concepts of “human,” “nonhuman,” and human/nonhuman relations.

APA, Harvard, Vancouver, ISO, and other styles

17

Jiang, Yan, and Chuncai Bao. "Human-centered artificial intelligence-based ice hockey sports classification system with web 4.0." Journal of Intelligent Systems 31, no. 1 (January 1, 2022): 1211–28. http://dx.doi.org/10.1515/jisys-2022-0096.

Full text

Abstract:

Abstract Systems with human-centered artificial intelligence are always as good as their ability to consider their users’ context when making decisions. Research on identifying people’s everyday activities has evolved rapidly, but little attention has been paid to recognizing both the activities themselves and the motions they make during those tasks. Automated monitoring, human-to-computer interaction, and sports analysis all benefit from Web 4.0. Every sport has gotten its move, and every move is not known to everyone. In ice hockey, every move cannot be monitored by the referee. Here, Convolution Neural Network-based Real-Time Image Processing Framework (CNN-RTIPF) is introduced to classify every move in Ice Hockey. CNN-RTIPF can reduce the challenges in monitoring the player’s move individually. The image of every move is captured and compared with the trained data in CNN. These real-time captured images are processed using a human-centered artificial intelligence system. They compared images predicted by probability calculation of the trained set of images for effective classification. Simulation analysis shows that the proposed CNN-RTIPF can classify real-time images with improved classification ratio, sensitivity, and error rate. The proposed CNN-RTIPF has been validated based on the optimization parameter for reliability. To improve the algorithm for movement identification and train the system for many other everyday activities, human-centered artificial intelligence-based Web 4.0 will continue to develop.

APA, Harvard, Vancouver, ISO, and other styles

18

Yang, Stephen J. H., Hiroaki Ogata, Tatsunori Matsui, and Nian-Shing Chen. "Human-centered artificial intelligence in education: Seeing the invisible through the visible." Computers and Education: Artificial Intelligence 2 (2021): 100008. http://dx.doi.org/10.1016/j.caeai.2021.100008.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Mohanasundaram, Ranganathan. "Editorial: Special Section on Human-Centered Artificial Intelligence with Big Data Applications." Journal of Testing and Evaluation 49, no. 4 (July 1, 2021): 20219999. http://dx.doi.org/10.1520/jte20219999.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Chen, Chun-Hsien, Keiichi Sato, and Kun-Pyo Lee. "Editorial: Human-centered product design and development." Advanced Engineering Informatics 23, no. 2 (April 2009): 140–41. http://dx.doi.org/10.1016/j.aei.2009.02.002.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Shafto, M. G., and R. R. Hoffman. "Human-centered computing at NASA." IEEE Intelligent Systems 17, no. 5 (September 2002): 10–14. http://dx.doi.org/10.1109/mis.2002.1039827.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Hoffman, R. R., and J. F. Yates. "Decision making [human-centered computing]." IEEE Intelligent Systems 20, no. 4 (July 2005): 76–83. http://dx.doi.org/10.1109/mis.2005.67.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Rodríguez Ayuso, Juan Francisco. "Personal data in artificial intelligence projects: main study elements." IUS ET SCIENTIA 1, no. 7 (2021): 37–47. http://dx.doi.org/10.12795/ietscientia.2021.i01.04.

Full text

Abstract:

This research focuses on the impact of the new regulations on the protection of personal data in the scientific field of computer science, which is centered on the creation of programs and mechanisms that can display behaviors considered intelligent. In other words, the necessary respect for the fundamental right to data protection in those technological advances that, progressively, make machines think like human beings, determining what are the possible legal bases that can be found to legitimize all processing of personal data that occur in this new field.

APA, Harvard, Vancouver, ISO, and other styles

24

Giaccardi, Elisa, and Johan Redström. "Technology and More-Than-Human Design." Design Issues 36, no. 4 (September 2020): 33–44. http://dx.doi.org/10.1162/desi_a_00612.

Full text

Abstract:

Are we reaching the limits of what human-centered and user-centered design can cope with? Developing new design methodologies and tools to unlock the potentials of data technologies such as the Internet of Things, Machine Learning and Artificial Intelligence for the everyday job of design is necessary but not sufficient. There is now a need to fundamentally question what happens when human-centered design is unable to effectively give form to technology, why this might be the case, and where we could look for alternatives.

APA, Harvard, Vancouver, ISO, and other styles

25

Ismanjanov, Akbar. "INTELLECTUAL PROPERTY LAW OF COMPUTER-GENERATED WORKS DERIVING FROM ARTIFICIAL INTELLIGENCE." International Journal of Legal Studies ( IJOLS ) 5, no. 1 (June 30, 2019): 339–48. http://dx.doi.org/10.5604/01.3001.0013.3243.

Full text

Abstract:

With the proliferation of artificial intelligence, the significant domain forming the copy-rightable works autonomously created by the computer, without significant expenditure of human effort and skill. The reality of today is that information content is predominantly coming from the computer, where the idea-expression dichotomy of originality is rather referring to the computer than a human author. However, the copyright is revolving around the human-centered authorship its showing resistance to non-human creativity. In the context of authorship, the artificial category of a corporation owning property in the interest of their shareholders allowing application concerning the artificial intelligence author. Moreover, computer programs exercising independent choice in the unpredictability of the outcome of the operation can objectively approximate artificial intelligence to the qualification of authorship.

APA, Harvard, Vancouver, ISO, and other styles

26

Karaaslan, Enes, Ulas Bagci, and Fikret Necati Catbas. "Artificial Intelligence Assisted Infrastructure Assessment using Mixed Reality Systems." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 12 (July 17, 2019): 413–24. http://dx.doi.org/10.1177/0361198119839988.

Full text

Abstract:

Conventional methods for visual assessment of civil infrastructures have certain limitations, such as subjectivity of the collected data, long inspection time, and high cost of labor. Although some new technologies (i.e., robotic techniques) that are currently in practice can collect objective, quantified data, the inspector’s own expertise is still critical in many instances because these technologies are not designed to work interactively with a human inspector. This study aims to create a smart, human-centered method that offers significant contributions to infrastructure inspection, maintenance, management practice, and safety for the bridge owners. By developing a smart mixed reality (MR) framework, which can be integrated into a wearable holographic headset device, a bridge inspector, for example, can automatically analyze a certain defect such as a crack that he or she sees on an element, and display its dimension information in real-time along with the condition state. Such systems can potentially decrease the time and cost of infrastructure inspections by accelerating essential tasks of the inspector such as defect measurement, condition assessment, and data processing to management systems. The human-centered artificial intelligence (AI) will help the inspector collect more quantified and objective data while incorporating the inspector’s professional judgment. This study explains in detail the described system and related methodologies of implementing attention guided semisupervised deep learning into MR technology, which interacts with the human inspector during assessment. Thereby, the inspector and the AI will collaborate/communicate for improved visual inspection.

APA, Harvard, Vancouver, ISO, and other styles

27

Asan, Onur, and Avishek Choudhury. "Research Trends in Artificial Intelligence Applications in Human Factors Health Care: Mapping Review." JMIR Human Factors 8, no. 2 (June 18, 2021): e28236. http://dx.doi.org/10.2196/28236.

Full text

Abstract:

Background Despite advancements in artificial intelligence (AI) to develop prediction and classification models, little research has been devoted to real-world translations with a user-centered design approach. AI development studies in the health care context have often ignored two critical factors of ecological validity and human cognition, creating challenges at the interface with clinicians and the clinical environment. Objective The aim of this literature review was to investigate the contributions made by major human factors communities in health care AI applications. This review also discusses emerging research gaps, and provides future research directions to facilitate a safer and user-centered integration of AI into the clinical workflow. Methods We performed an extensive mapping review to capture all relevant articles published within the last 10 years in the major human factors journals and conference proceedings listed in the “Human Factors and Ergonomics” category of the Scopus Master List. In each published volume, we searched for studies reporting qualitative or quantitative findings in the context of AI in health care. Studies are discussed based on the key principles such as evaluating workload, usability, trust in technology, perception, and user-centered design. Results Forty-eight articles were included in the final review. Most of the studies emphasized user perception, the usability of AI-based devices or technologies, cognitive workload, and user’s trust in AI. The review revealed a nascent but growing body of literature focusing on augmenting health care AI; however, little effort has been made to ensure ecological validity with user-centered design approaches. Moreover, few studies (n=5 against clinical/baseline standards, n=5 against clinicians) compared their AI models against a standard measure. Conclusions Human factors researchers should actively be part of efforts in AI design and implementation, as well as dynamic assessments of AI systems’ effects on interaction, workflow, and patient outcomes. An AI system is part of a greater sociotechnical system. Investigators with human factors and ergonomics expertise are essential when defining the dynamic interaction of AI within each element, process, and result of the work system.

APA, Harvard, Vancouver, ISO, and other styles

28

Rostami, Mehrdad, and Mourad Oussalah. "Cancer prediction using graph-based gene selection and explainable classifier." Finnish Journal of eHealth and eWelfare 14, no. 1 (April 14, 2022): 61–78. http://dx.doi.org/10.23996/fjhw.111772.

Full text

Abstract:

Several Artificial Intelligence-based models have been developed for cancer prediction. In spite of the promise of artificial intelligence, there are very few models which bridge the gap between traditional human-centered prediction and the potential future of machine-centered cancer prediction. In this study, an efficient and effective model is developed for gene selection and cancer prediction. Moreover, this study proposes an artificial intelligence decision system to provide physicians with a simple and human-interpretable set of rules for cancer prediction. In contrast to previous deep learning-based cancer prediction models, which are difficult to explain to physicians due to their black-box nature, the proposed prediction model is based on a transparent and explainable decision forest model. The performance of the developed approach is compared to three state-of-the-art cancer prediction including TAGA, HPSO and LL. The reported results on five cancer datasets indicate that the developed model can improve the accuracy of cancer prediction and reduce the execution time.

APA, Harvard, Vancouver, ISO, and other styles

29

Neuhaus, Peter, Anil Raj, and William J. Clancey. "Human-Centered Cognitive Orthoses: Artificial Intelligence for, Rather than Instead of, the People." AI Magazine 36, no. 4 (December 31, 2015): 9–11. http://dx.doi.org/10.1609/aimag.v36i4.2612.

Full text

Abstract:

This issue of AI Magazine includes six articles on cognitive orthoses, which we broadly conceive as technological approaches that amplify or enhance individual or team cognition across a wide range of goals and activities. The articles are grouped by how they relate to orthoses enhanced socio-technical team intelligence at three different cognitive levels—sensorimotor physical, professional learning, and networked knowledge.

APA, Harvard, Vancouver, ISO, and other styles

30

Rafner, Janet, Miroslav Gajdacz, Gitte Kragh, Arthur Hjorth, Anna Gander, Blanka Palfi, Aleksandra Berditchevskiaia, et al. "Revisiting Citizen Science Through the Lens of Hybrid Intelligence." Human Computation 9, no. 1 (November 16, 2022): 66–95. http://dx.doi.org/10.15346/hc.v9i1.133.

Full text

Abstract:

Artificial Intelligence (AI) can augment and sometimes even replace human cognition. Inspired by efforts to value human agency alongside productivity, we discuss and categorize the potential of solving Citizen Science (CS) tasks with Hybrid Intelligence (HI), a synergetic mixture of human and artificial intelligence. Due to the unique participant-centered set of values and the abundance of tasks drawing upon both human common sense and complex 21st century skills, we believe that the field of CS offers an invaluable testbed for the development of human-centered AI including HI, while also benefiting CS. In order to investigate this potential, we first relate CS to adjacent computational disciplines. Then, we demonstrate that CS projects can be grouped according to their potential for HI-enhancement by examining two key dimensions: the level of digitization and the amount of knowledge or experience required for participation. Finally, we propose a framework for types of human-AI interaction in CS based on established criteria of HI. This “HI lens” provides the CS community with an overview of ways to utilize the combination of AI and human intelligence in their projects. For AI researchers, this work highlights the opportunity CS presents to engage with real-world data sets and explore new AI methods and applications.

APA, Harvard, Vancouver, ISO, and other styles

31

Jiajie Zhang, V. L. Patel, K. A. Johnson, and J. W. Smith. "Designing human-centered distributed information systems." IEEE Intelligent Systems 17, no. 5 (September 2002): 42–47. http://dx.doi.org/10.1109/mis.2002.1039831.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Di Nuovo, Alessandro, Giovanni Acampora, and Matthew Schlesinger. "Guest Editorial Cognitive Agents and Robots for Human-Centered Systems." IEEE Transactions on Cognitive and Developmental Systems 9, no. 1 (March 2017): 1–4. http://dx.doi.org/10.1109/tcds.2017.2670787.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Scott, R., E. M. Roth, S. E. Deutsch, E. Malchiodi, T. E. Kazmierczak, R. G. Eggleston, S. R. Kuper, and R. D. Whitaker. "Work-Centered Support Systems: A Human-Centered Approach to Intelligent System Design." IEEE Intelligent Systems 20, no. 2 (March 2005): 73–81. http://dx.doi.org/10.1109/mis.2005.37.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Coye de Brunélis, Thierry, and Patrick Le Blaye. "Towards a human centered methodology for the dynamic allocation of functions." Revue d'intelligence artificielle 23, no. 4 (August 30, 2009): 503–22. http://dx.doi.org/10.3166/ria.23.503-522.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Chouraqui, Eugene, and Christophe Doniat. "The s-ethos system: A methodology for systematic flight analysis centered on human factors." Applied Artificial Intelligence 17, no. 7 (August 2003): 583–629. http://dx.doi.org/10.1080/713827211.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Makhmutov, Munir. "Adaptive Game Soundtrack Generation Based on Music Transcription." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 15, no. 1 (October 8, 2019): 216–18. http://dx.doi.org/10.1609/aiide.v15i1.5248.

Full text

Abstract:

This research aims to bring new prospects for adaptive game soundtrack generation, which theoretically can increase the involvement of players into the gaming process. To investigate the problem of adaptive soundtrack generation, human-centered evaluation has to be done. Furthermore, an important part of this research is a collaborative soundtrack generation with the participation of composers and artificial intelligence, which is able to decrease expenses of game developing companies. For soundtrack customization, this work suggests a joint generation of music by human and artificial intelligence and its further intuitive modification during the game based on in-game actions.

APA, Harvard, Vancouver, ISO, and other styles

37

Monaro, Merylin, Emilia Barakova, and Nicol Navarin. "Editorial Special Issue Interaction With Artificial Intelligence Systems: New Human-Centered Perspectives and Challenges." IEEE Transactions on Human-Machine Systems 52, no. 3 (June 2022): 326–31. http://dx.doi.org/10.1109/thms.2022.3172516.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Mollaei, Nafiseh, Carlos Fujao, Luis Silva, Joao Rodrigues, Catia Cepeda, and Hugo Gamboa. "Human-Centered Explainable Artificial Intelligence: Automotive Occupational Health Protection Profiles in Prevention Musculoskeletal Symptoms." International Journal of Environmental Research and Public Health 19, no. 15 (August 3, 2022): 9552. http://dx.doi.org/10.3390/ijerph19159552.

Full text

Abstract:

In automotive and industrial settings, occupational physicians are responsible for monitoring workers’ health protection profiles. Workers’ Functional Work Ability (FWA) status is used to create Occupational Health Protection Profiles (OHPP). This is a novel longitudinal study in comparison with previous research that has predominantly relied on the causality and explainability of human-understandable models for industrial technical teams like ergonomists. The application of artificial intelligence can support the decision-making to go from a worker’s Functional Work Ability to explanations by integrating explainability into medical (restriction) and support in contexts of individual, work-related, and organizational risk conditions. A sample of 7857 for the prognosis part of OHPP based on Functional Work Ability in the Portuguese language in the automotive industry was taken from 2019 to 2021. The most suitable regression models to predict the next medical appointment for the workers’ body parts protection were the models based on CatBoost regression, with an RMSLE of 0.84 and 1.23 weeks (mean error), respectively. CatBoost algorithm is also used to predict the next body part severity of OHPP. This information can help our understanding of potential risk factors for OHPP and identify warning signs of the early stages of musculoskeletal symptoms and work-related absenteeism.

APA, Harvard, Vancouver, ISO, and other styles

39

SONG, JEONG-JUN, and FOROUZAN GOLSHANI. "3D OBJECT FEATURE EXTRACTION BASED ON SHAPE SIMILARITY." International Journal on Artificial Intelligence Tools 12, no. 01 (March 2003): 37–56. http://dx.doi.org/10.1142/s0218213003001101.

Full text

Abstract:

We introduce two complementary feature extraction methods for shape similarity based retrieval of 3D object models. The proposed methods lead us to achieve effectiveness and robustness in searching similar 3D models, and eventually support two essential query modes, namely, query by 3D model and query by 2D image. Our feature extraction scheme is inspired by the observation of human behavior in recognizing 3D objects. The process of extracting spatial arrangement from a 3D object can be considered as using human tactile sensation without visual information. On the other hand, the process of extracting 2D features from multiple views can be considered as examining an object by moving the viewing points (or camera positions). We propose a hybrid method of 3D model identification by object-centered feature extraction, which utilizes the Extended Gaussian Image (EGI) surface normal distribution and distance distributions between object surface points and origin. Another technique need in parallel is a hybrid method using view-centered features, which adopts simple geometric attributes such as circularity, rectangularity and eccentricity. To generate a signature for view-centered features, we have measured distances of a feature between different views and constructing histogram of the distance. We also address the fundamental problem of obtaining sample points on an object surface, which is important to extract reliable features from the object model.

APA, Harvard, Vancouver, ISO, and other styles

40

Canonico, Lorenzo Barberis, Christopher Flathmann, and Nathan McNeese. "The Wisdom of the Market: Using Human Factors to Design Prediction Markets for Collective Intelligence." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (November 2019): 1471–75. http://dx.doi.org/10.1177/1071181319631282.

Full text

Abstract:

There is an ever-growing literature on the power of prediction markets to harness “the wisdom of the crowd” from large groups of people. However, traditional prediction markets are not designed in a human-centered way, often restricting their own potential. This creates the opportunity to implement a cognitive science perspective on how to enhance the collective intelligence of the participants. Thus, we propose a new model for prediction markets that integrates human factors, cognitive science, game theory and machine learning to maximize collective intelligence. We do this by first identifying the connections between prediction markets and collective intelligence, to then use human factors techniques to analyze our design, culminating in the practical ways with which our design enables artificial intelligence to complement human intelligence.

APA, Harvard, Vancouver, ISO, and other styles

41

Mantini, Alessandro. "Technological Sustainability and Artificial Intelligence Algor-ethics." Sustainability 14, no. 6 (March 9, 2022): 3215. http://dx.doi.org/10.3390/su14063215.

Full text

Abstract:

Since 2018, a new terminology has been developed, called Algor-ethics, indicating the necessity for a dedicated study concerning the evaluation of an ethics applied to technology, to Algorithms and to Artificial Intelligence (AI). At the same time, since 1987, when the concept of sustainability was introduced, the discussion on this issue has become increasingly lively and has now spread to every area of life. In this paper, we would like to propose an application of the concept of sustainability to technological processes and in particular to the elaboration of AI systems. To reach this goal we will first try to build an ethical framework, here called Dynamical Techno-Algor-Ethical Composition, to define the interaction between the most important ethical ingredients involving the human person in relation to technology, taking a person-centered approach. Out of this will emerge a possible structure and definition of Technological Sustainability. The second step will consist of evaluating the process for the elaboration of an AI algorithm as a concrete application of the previously analyzed framework, to set ethical contents composing what we might call a good and sustainable algorithm.

APA, Harvard, Vancouver, ISO, and other styles

42

Roschuni, Celeste, Elizabeth Goodman, and Alice M. Agogino. "Communicating actionable user research for human-centered design." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 27, no. 2 (April 18, 2013): 143–54. http://dx.doi.org/10.1017/s0890060413000048.

Full text

Abstract:

AbstractIn human-centered design, user research drives design decisions by providing an understanding of end users. In practice, different people, teams, or even companies manage each step of the design process, making communication of user research results a critical activity. Based on an empirical study of current methods used by experts, this paper presents strategies for effectively communicating user research findings across organizational or corporate boundaries. To build researcher–client relationships, understand both user and client needs, and overcome institutional inertia, this paper proposes viewing user research clients asusersof user research outcomes. This reframing of the crafting of communication across boundaries as a parallel internal human-centered design process we refer to as adouble ethnography.

APA, Harvard, Vancouver, ISO, and other styles

43

Coppin, G., and A. Skrzyniarz. "Human-centered processes: individual and distributed decision support." IEEE Intelligent Systems 18, no. 4 (July 2003): 27–33. http://dx.doi.org/10.1109/mis.2003.1217625.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Erslev, Malthe Stavning. "A Mimetic Method." A Peer-Reviewed Journal About 11, no. 1 (October 18, 2022): 34–49. http://dx.doi.org/10.7146/aprja.v11i1.134305.

Full text

Abstract:

How does a practice of mimesis — as dramatic enactment in a live-action role-playing game (LARP) — relate to the design of artificial intelligence systems? In this article, I trace the contours of a mimetic method, working through an auto-ethnographic approach in tandem with new materialist theory and in conjunction with recent tendencies in design research to argue that mimesis carries strong potential as a practice through which to encounter, negotiate, and design with artificial intelligence imaginaries. Building on a new materialist conception of mimesis as more-than-human sympathy, I illuminate how LARP that centered on the enactment of a fictional artificial intelligence system sustained an encounter with artificial intelligence imaginaries. In what can be understood as a decidedly mimetic way of doing ethnography of algorithmic systems, I argue that we need to consider the value of mimesis — understood as a practice and a method — as a way to render research into artificial intel- ligence imaginaries.

APA, Harvard, Vancouver, ISO, and other styles

45

Pastor-Escuredo, David, Philip Treleaven, and Ricardo Vinuesa. "An Ethical Framework for Artificial Intelligence and Sustainable Cities." AI 3, no. 4 (November 25, 2022): 961–74. http://dx.doi.org/10.3390/ai3040057.

Full text

Abstract:

The digital revolution has brought ethical crossroads of technology and behavior, especially in the realm of sustainable cities. The need for a comprehensive and constructive ethical framework is emerging as digital platforms encounter trouble to articulate the transformations required to accomplish the sustainable development goal (SDG) 11 (on sustainable cities), and the remainder of the related SDGs. The unequal structure of the global system leads to dynamic and systemic problems, which have a more significant impact on those that are most vulnerable. Ethical frameworks based only on the individual level are no longer sufficient as they lack the necessary articulation to provide solutions to the new systemic challenges. A new ethical vision of digitalization must comprise the understanding of the scales and complex interconnections among SDGs and the ongoing socioeconomic and industrial revolutions. Many of the current social systems are internally fragile and very sensitive to external factors and threats, which lead to unethical situations. Furthermore, the multilayered net-like social tissue generates clusters of influence and leadership that prevent communities from a proper development. Digital technology has also had an impact at the individual level, posing several risks including a more homogeneous and predictable humankind. To preserve the core of humanity, we propose an ethical framework to empower individuals centered on the cities and interconnected with the socioeconomic ecosystem and the environment through the complex relationships of the SDGs. Only by combining human-centered and collectiveness-oriented digital development will it be possible to construct new social models and interactions that are ethical. Thus, it is necessary to combine ethical principles with the digital innovation undergoing in all the dimensions of sustainability.

APA, Harvard, Vancouver, ISO, and other styles

46

Harutyunyan, Ashot, and Gregor Schiele. "J.UCS special issue on Challenges for Smart Environments – Human-Centered Computing, Data Science, and Ambient Intelligence. Smart Human-Centered Computing (volume 2)." JUCS - Journal of Universal Computer Science 27, no. 12 (December 28, 2021): 1272–74. http://dx.doi.org/10.3897/jucs.76822.

Full text

Abstract:

Based on a successful funded collaboration between the American University of Armenia, the University of Duisburg-Essen and the University of Chile, in previous years a network was built, and in September 2020 a group of researchers gathered (although virtually) for the 2nd CODASSCA workshop on “Collaborative Technologies and Data Science in Smart City Applications”. This event has attracted 25 paper submissions which deal with the problems and challenges mentioned above. The studies are in specialized areas and disclose novel solutions and approaches based on existing theories suitably applied. The authors of the best papers published in the conference proceedings on Collaborative Technologies and Data Science in Artificial Intelligence Applications by Logos edition Berlin were invited to submit significantly extended and improved versions of their contributions to be considered for a journal special issue of J.UCS. There was also a J.UCS open call so that any author could submit papers on the highlighted subject. For this volume, we selected those devoted mainly to human-computer interaction problematics, which were rigorously reviewed in three rounds and 6 papers nominated to be published.

APA, Harvard, Vancouver, ISO, and other styles

47

Barberis Canonico, Lorenzo, Nathan J. McNeese, and Chris Duncan. "Machine Learning as Grounded Theory: Human-Centered Interfaces for Social Network Research through Artificial Intelligence." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (September 2018): 1252–56. http://dx.doi.org/10.1177/1541931218621287.

Full text

Abstract:

Internet technologies have created unprecedented opportunities for people to come together and through their collective effort generate large amounts of data about human behavior. With the increased popularity of grounded theory, many researchers have sought to use ever-increasingly large datasets to analyze and draw patterns about social dynamics. However, the data is simply too big to enable a single human to derive effective models for many complex social phenomena. Computational methods offer a unique opportunity to analyze a wide spectrum of sociological events by leveraging the power of artificial intelligence. Within the human factors community, machine learning has emerged as the dominant AI-approach to deal with big data. However, along with its many benefits, machine learning has introduced a unique challenge: interpretability. The models of macro-social behavior generated by AI are so complex that rarely can they translated into human understanding. We propose a new method to conduct grounded theory research by leveraging the power of machine learning to analyze complex social phenomena through social network analysis while retaining interpretability as a core feature.

APA, Harvard, Vancouver, ISO, and other styles

48

Grémy, F. "Persons and Computers in Medicine and Health." Methods of Information in Medicine 27, no. 01 (January 1988): 3–9. http://dx.doi.org/10.1055/s-0038-1635516.

Full text

Abstract:

SummaryThe author gives a series of reflections about some claims of Artificial Intelligence supporters on the possibilities for a machine to duplicate human intelligence. He points out:a) the structural peculiarities of the brain,b) the road taken by humans to progress from the beginner’s up to the expert’s level,c) the counter-offensive of phenomenological philosophy against the rationalistic tradition,d) the backward movement of some prominent Artificial Intelligence researchers who renounce some of their previous pretentions.Finally, he tries to specify the respective place of “know how” and “know that” in medicine and to delimit the place of expert systems.In conclusion, the author claims that every information system should be man-oriented and man-centered.

APA, Harvard, Vancouver, ISO, and other styles

49

Fiebrink, Rebecca, and Marco Gillies. "Introduction to the Special Issue on Human-Centered Machine Learning." ACM Transactions on Interactive Intelligent Systems 8, no. 2 (July 14, 2018): 1–7. http://dx.doi.org/10.1145/3205942.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Yamaguchi, Tomohiro, Takuma Nishimura, and Keiki Takadama. "Awareness Based Recommendation." International Journal of Robotics Applications and Technologies 4, no. 1 (January 2016): 83–99. http://dx.doi.org/10.4018/ijrat.2016010105.

Full text

Abstract:

In Artificial Intelligence and Robotics, one of the important issues is to design Human interface. There are two issues, one is the machine-centered interaction design to adapt humans for operating the robots or systems. Another one is the human-centered interaction design to make it adaptable for humans. This research aims at latter issue. This paper presents the interactive learning system to assist positive change in the preference of a human toward the true preference, then evaluation of the awareness effect is discussed. The system behaves passively to reflect the human intelligence by visualizing the traces of his/her behaviors. Experimental results showed that subjects are divided into two groups, heavy users and light users, and that there are different effects between them under the same visualizing condition. They also showed that the authors' system improves the efficiency for deciding the most preferred plan for both heavy users and light users.

APA, Harvard, Vancouver, ISO, and other styles

Journal articles on the topic 'Human-Centered Artificial Intelligence'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles