Journal articles on the topic 'Human-computer trust (HCT)'
To see the other types of publications on this topic, follow the link: Human-computer trust (HCT).
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 18 journal articles for your research on the topic 'Human-computer trust (HCT).'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Kaewkitipong, Laddawan, Charlie Chen, Jiangxue Han, and Peter Ractham. "Human–Computer Interaction (HCI) and Trust Factors for the Continuance Intention of Mobile Payment Services." Sustainability 14, no. 21 (November 5, 2022): 14546. http://dx.doi.org/10.3390/su142114546.
Full textAbstract:
The human–computer interaction (HCI) for mobile applications is becoming increasingly important as mobile applications have become an integral part of everyday life. Mobile app developers need to continuously improve the users’ experience to fulfill their conditions, which in turn, can trigger the purchase decision. Trust is another important factor, driving users to adopt mobile apps and use them to make online purchases. However, mobile app developers constantly face the dilemma between user trust and HCI experiences. This study’s primary purpose is to investigate the HCI and trust factors for the continued use of mobile payment apps and their services. Based on the human–computer interaction, task–technology fit, and IS success theories, an integrative framework is proposed to examine the relationships between continuance intention and its antecedents. An online survey was conducted to collect data from 544 mobile users. The results of the analyses indicate that trust plays a more significant role than HCI in increasing the users’ continuance usage of mobile payment services. As for improving HCI experiences for users, this study shows that system quality plays the most important role, followed by the skill of using mobile payment services and the perceived task–technology fit (TTF) for using the services. Information quality does not significantly impact the enhancement of positive HCI experiences. The results provide insights for the developers of mobile payment services to improve the user experience.
2
Kamoun, Faouzi, and Mohanad Halaweh. "User Interface Design and E-Commerce Security Perception." International Journal of E-Business Research 8, no. 2 (April 2012): 15–32. http://dx.doi.org/10.4018/jebr.2012040102.
Full textAbstract:
In this study, the authors investigate the relationship between human computer interface design and users’ security perception. The authors hypothesize that effective human computer interface design has a positive impact on security perception. To test this hypothesis, they use the seven design elements of the customer interface (7Cs) as a basis of the reference framework for effective interface design. Hypothesis testing was examined through an empirical study involving 247 subjects. Research reveals that human computer interface design significantly affects the perceived security of e-commerce portals. Further analysis of the results highlights that the top HCI factors that influence security perception are permanent working links, demos and online help tools, information accuracy, and easy website navigation. Therefore, this study suggests that applying good user interface design guidelines at the storefront can be an effective technique for enhancing user security perception and increasing trust and purchase intention.
3
E. Culley, Kimberly, and Poornima Madhavan. "Trust in automation and automation designers: Implications for HCI and HMI." Computers in Human Behavior 29, no. 6 (November 2013): 2208–10. http://dx.doi.org/10.1016/j.chb.2013.04.032.
Full text
4
Hansson, Karin, Malin Sveningsson, and Hillevi Ganetz. "Organizing Safe Spaces: #MeToo Activism in Sweden." Computer Supported Cooperative Work (CSCW) 30, no. 5-6 (November 3, 2021): 651–82. http://dx.doi.org/10.1007/s10606-021-09410-7.
Full textAbstract:
AbstractNetworked online environments can effectively support political activism. In Sweden, the #metoo movement resulted in over 100,000 people participating in activities challenging sexual harassment and abuse, including collecting testimonies via social media and drafting and discussing petitions published in print news media. Participation involved many risks, such as social stigma, losing one’s job, or misogynist terrorism, which meant that participation required a high level of trust among peers. Human-computer interaction (HCI) research on trust generally focuses on technical systems or user-generated data, less focus has been given to trust among peers in vulnerable communities. This study, based on semi-structured interviews and surveys of participants and organizers of 47 petitions representing different sectors in society, found that trust was aggregated over networks of people, practices, institutions, shared values, and technical systems. Although a supportive culture based on a feeling of solidarity and shared feminist values was central for safe spaces for participation, when activism was scaled up, social interaction had to be limited due to increased risk. HCI research views trust as a process of crossing distances, increasing over time; however, our results reveal that trust decreased over time as the movement grew and public exposure increased, a trend most evident when the participants actually came from a tightly knit community. Therefore, this study points out the significance to balance the need for transparency and community with the need for anonymity and distance in the development of tools to support large-scale deliberative processes that involve conflicts and risks.
5
Vora, Pawan R. "E-Commerce and its Impact on Future HCI Work." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 12 (July 2000): 2–762. http://dx.doi.org/10.1177/154193120004401289.
Full textAbstract:
Increasing focus on e-commerce will change the way we look at human-computer interface design. In particular, we will need to be more customer-centric – in addition to being user-centric – and incorporate both usability and business objectives in our designs. Our designs will need to consider the end-to-end customer experience rather than focusing simply on the functional objectives of the application itself. The customer experience itself will determine how the users/customers view the company itself in terms of a viable and trustworthy brand on an off the Internet. To achieve these goals, we will need to address some fundamental issues related to the ART ( Access, Relationship, and Trust) of designing interfaces. Although our profession is well suited for this role because of our user-centric roots, the onus will be on us to step up to the challenge and own the end-to-end customer experience.
6
Riegler, Andreas, Andreas Riener, and Clemens Holzmann. "Augmented Reality for Future Mobility: Insights from a Literature Review and HCI Workshop." i-com 20, no. 3 (November 27, 2021): 295–318. http://dx.doi.org/10.1515/icom-2021-0029.
Full textAbstract:
Abstract There is a growing body of research in the field of interaction between drivers/passengers and automated vehicles using augmented reality (AR) technology. Furthering the advancements and availability of AR, the number of use cases in and around vehicles rises. Our literature review reveals that in the past, AR research focussed on increasing road safety and displaying navigational aids, however, more recent research explores the support of immersive (non-)driving related activities, and finally enhance driving and passenger experiences, as well as assist other road users through external human-machine interfaces (HMIs). AR may also be the enabling technology to increase trust and acceptance in automated vehicles through explainable artificial intelligence (AI), and therefore help on the shift from manual to automated driving. We organized a workshop addressing AR in automotive human-computer interaction (HCI) design, and identified a number of challenges including human factors issues that need to be tackled, as well as opportunities and practical usages of AR in future mobility. We believe that our status-quo literature analysis and future-oriented workshop results can serve as a research agenda for user interface designers and researchers when developing automotive AR interfaces.
7
BHUIYAN, MD MOMEN, Hayden Whitley, Michael Horning, Sang Won Lee, and Tanushree Mitra. "Designing Transparency Cues in Online News Platforms to Promote Trust: Journalists' & Consumers' Perspectives." Proceedings of the ACM on Human-Computer Interaction 5, CSCW2 (October 13, 2021): 1–31. http://dx.doi.org/10.1145/3479539.
Full textAbstract:
As news organizations embrace transparency practices on their websites to distinguish themselves from those spreading misinformation, HCI designers have the opportunity to help them effectively utilize the ideals of transparency to build trust. How can we utilize transparency to promote trust in news? We examine this question through a qualitative lens by interviewing journalists and news consumers---the two stakeholders in a news system. We designed a scenario to demonstrate transparency features using two fundamental news attributes that convey the trustworthiness of a news article: source and message. In the interviews, our news consumers expressed the idea that news transparency could be best shown by providing indicators of objectivity in two areas (news selection and framing) and by providing indicators of evidence in four areas (presence of source materials, anonymous sourcing, verification, and corrections upon erroneous reporting). While our journalists agreed with news consumers' suggestions of using evidence indicators, they also suggested additional transparency indicators in areas such as the news reporting process and personal/organizational conflicts of interest. Prompted by our scenario, participants offered new design considerations for building trustworthy news platforms, such as designing for easy comprehension, presenting appropriate details in news articles (e.g., showing the number and nature of corrections made to an article), and comparing attributes across news organizations to highlight diverging practices. Comparing the responses from our two stakeholder groups reveals conflicting suggestions with trade-offs between them. Our study has implications for HCI designers in building trustworthy news systems.
8
Muthmainnah, Prodhan Mahbub Ibna Seraj, and Ibrahim Oteir. "Playing with AI to Investigate Human-Computer Interaction Technology and Improving Critical Thinking Skills to Pursue 21st Century Age." Education Research International 2022 (October 7, 2022): 1–17. http://dx.doi.org/10.1155/2022/6468995.
Full textAbstract:
As part of the human-computer interaction (HCI) that artificial intelligence has, it has a specific effect on developing critical thinking skills, which is what this study is looking at. The purpose of this study was to determine the impact of AI friend apps on EFoLLe (English foreign language learners) interactions with technology. The primary focus of this paper is on a new artificial intelligence-based immersion teaching method for university-level English. Students’ English proficiency and CT are the primary goals of this course. This study employs mixed methods research design using an online survey and classroom observation. Both quantitative and qualitative data collection and analysis techniques helped researchers to understand deeply. Still, little research was used to look at the survey and how people acted while they were learning how to use AI to improve CT skills. The participants in this paper were polled using an online survey. A total of 453 people participated in the survey. According to the outcomes of the study, AI friends to enhance students’ critical thinking abilities has a positive impact among the participants. Because AI-based instruction promotes students’ trust, self-confidence, open-mindedness, and maturity in English, it can help them improve their critical thinking skills. This is because critical thinking skills are the foundation for 21st-century skills, and AI-based instruction helps students learn these skills. This study helped AI-based instruction because it helps nonnative English students become more trusting, self-confident, open-minded, and mature in English. It also helps them learn the CT skills that are the foundation of critical thinking, so they can learn new skills in the 21stcentury.
9
Saxena, Devansh, Karla Badillo-Urquiola, Pamela J. Wisniewski, and Shion Guha. "A Framework of High-Stakes Algorithmic Decision-Making for the Public Sector Developed through a Case Study of Child-Welfare." Proceedings of the ACM on Human-Computer Interaction 5, CSCW2 (October 13, 2021): 1–41. http://dx.doi.org/10.1145/3476089.
Full textAbstract:
Algorithms have permeated throughout civil government and society, where they are being used to make high-stakes decisions about human lives. In this paper, we first develop a cohesive framework of algorithmic decision-making adapted for the public sector (ADMAPS) that reflects the complex socio-technical interactions between human discretion, bureaucratic processes, and algorithmic decision-making by synthesizing disparate bodies of work in the fields of Human-Computer Interaction (HCI), Science and Technology Studies (STS), and Public Administration (PA). We then applied the ADMAPS framework to conduct a qualitative analysis of an in-depth, eight-month ethnographic case study of algorithms in daily use within a child-welfare agency that serves approximately 900 families and 1300 children in the mid-western United States. Overall, we found that there is a need to focus on strength-based algorithmic outcomes centered in social ecological frameworks. In addition, algorithmic systems need to support existing bureaucratic processes and augment human discretion, rather than replace it. Finally, collective buy-in in algorithmic systems requires trust in the target outcomes at both the practitioner and bureaucratic levels. As a result of our study, we propose guidelines for the design of high-stakes algorithmic decision-making tools in the child-welfare system, and more generally, in the public sector. We empirically validate the theoretically derived ADMAPS framework to demonstrate how it can be useful for systematically making pragmatic decisions about the design of algorithms for the public sector.
10
Coursaris, Constantinos K., and Konstantinos Kripintris. "Web Aesthetics and Usability." International Journal of E-Business Research 8, no. 1 (January 2012): 35–53. http://dx.doi.org/10.4018/jebr.2012010103.
Full textAbstract:
Usability has been an essential component of the Web User Experience (UX) and a focal research topic. In recent years, the penetration of interactive technologies in all aspects of everyday life challenges the way UX is understood and designed. The past decade, Human-Computer Interaction (HCI) scholars have been continuously attempting to introduce and explore new and non-traditional factors in the UX arena, such as aesthetics, emotions, affect, and trust. This study contributes to the field by exploring the relationship between aesthetics and UX; specifically the impact of the classical design element of white space on the perceived attractiveness and perceived usability of an e-commerce website. A between-subject research design involves the manipulation a website’s white space. Three different versions were constructed using 25, 50 and 75% of the white space, respectively. Findings offer support for the relationship between aesthetics and the perceived usability of a website. The study results suggest that the usability of a website is impacted negatively when white space increases over 50%. Practitioners should consider that in the context of eCommerce Web design, reduction of content and shrinking of visual elements, in favor of white space, is likely to negatively impact the usability of a website.
11
Piao, Jinghua, Guozhen Zhang, Fengli Xu, Zhilong Chen, Yu Zheng, Chen Gao, and Yong Li. "Bringing Friends into the Loop of Recommender Systems: An Exploratory Study." Proceedings of the ACM on Human-Computer Interaction 5, CSCW2 (October 13, 2021): 1–26. http://dx.doi.org/10.1145/3479583.
Full textAbstract:
The recommender system (RS), as a computer-supported information filtering system, is ubiquitous and influences what we eat, watch, or even like. In online RS, interactions between users and the system form a feedback loop: users take actions based on the recommendations provided by RS, and RS updates its recommendations accordingly. As such interactions increase, the issue of recommendation homogeneity intensifies, which significantly impairs user experience. In the face of this long-standing issue, the newly-emerging social e-commerce offers a new solution -- bringing friends' recommendations into the loop (friend-in-the-loop). In this paper, we conduct an exploratory study on the benefits of friend-in-the-loop through mixed methods on a leading social e-commerce platform in China, Beidian. We reveal that friend-in-the-loop provides users with more accurate and diverse recommendations than merely RS, and significantly alleviates algorithmic homogeneity. Moreover, our qualitative results demonstrate that the introduction of friends' external knowledge, consumers' trust, and empathy accounts for these benefits. Overall, we elaborate that friend-in-the-loop comprehensively benefits both users and RS, and it is a promising HCI-based solution to recommendation homogeneity, which offers insightful implications on designing future human-algorithm collaboration models.
12
Wang, Brydon. "The Seductive Smart City and the Benevolent Role of Transparency." Interaction Design and Architecture(s), no. 48 (June 10, 2021): 100–121. http://dx.doi.org/10.55612/s-5002-048-005.
Full textAbstract:
Digital Twins and automated decision-making systems operate on real-time sensor data extracted from the built environment to seamlessly produce insights and decisions to predict and influence behaviour in the city. However, these processes are opaque to urban occupants and as such, power holders are not held accountable for decisions. This article applies a Deleuzian lens to consider how desiring-production and modulated forms of control seduce the urban occupant through an uncritical techno-entrepreneurial framing of the smart city. In turn, this techno-optimistic narrative of smart cities seduces us into new modulated representations of ourselves in a society of control. This article argues that transparency practices in digital twins and other smart city technologies are essential as they need to signal benevolence and support trust formation in the city. Transparency practices that communicate the context of data focused decision-making allow power holders, HCI and CSCW practitioners, other technology developers and city administrators to be held accountable for these decisions. At the same time, transparency in the architecture and processes of the digital twin and ADSs creates spaces within seamless dataveillance-to-decision output processes for selfhood development, to allow ‘the right to the city’ to emerge. This article also considers strategies in which practices of power through seduction in digital twins and other smart city technologies can be made to be more benevolent through transparency.
13
Deaudelin, Colette, Marc Dussault, and Monique Brodeur. "Human-Computer Interaction: A Review of the Research on its Affective and Social Aspects." Canadian Journal of Learning and Technology / La revue canadienne de l’apprentissage et de la technologie 29, no. 1 (February 15, 2003). http://dx.doi.org/10.21432/t2v315.
Full textAbstract:
Prevailing research influenced by cognitive psychology has dealt mainly with the cognitive aspects of the human-computer interaction (HCI). The advent of computers in schools should prompt educational researchers to scrutinize the affective and social aspects of student-computer interactions since they play an important role in learning. A review of 34 qualitative and non-qualitative studies was conducted. Its main purpose is to synthesize results and to highlight important issues that research has left unsolved. Results concern the nature of the HCI (social or parasocial), the interface (mainly a comparison between graphic and text types), and the relation between variables linked to HCI (mainly trust, locus of control, attitude, ease of use, and liking).
14
Chignell, Mark, Lu Wang, Atefeh Zare, and Jamy Li. "The Evolution of HCI and Human Factors: Integrating Human and Artificial Intelligence." ACM Transactions on Computer-Human Interaction, September 15, 2022. http://dx.doi.org/10.1145/3557891.
Full textAbstract:
We review HCI history from both the perspective of its 1980s split with human factors and its nature as a discipline. We then revisit human augmentation as an alternative to user friendliness that seems particularly relevant in the areas of inclusive design and artificial intelligence. Viewing human-AI interaction as a kind of human augmentation raises issues such as how to promote trust and situation awareness. We also pose the question: Can HCI and human factors engineering work together to solve the increasingly urgent challenges of human-AI technology? In an initial look at this question, we contrast the different approaches of HCI and human factors on emerging AI research. This paper concludes by considering other potentially promising paths for HCI. We propose more collaboration between HCI and human factors, or related disciplines, in the future to address the massive challenges posed by the rapid growth in data science and artificial intelligence.
15
Qi, Faxin, Xiangrong Tong, Lei Yu, and Yingjie Wang. "Personalized project recommendations: using reinforcement learning." EURASIP Journal on Wireless Communications and Networking 2019, no. 1 (December 2019). http://dx.doi.org/10.1186/s13638-019-1619-6.
Full textAbstract:
AbstractWith the development of the Internet and the progress of human-centered computing (HCC), the mode of man-machine collaborative work has become more and more popular. Valuable information in the Internet, such as user behavior and social labels, is often provided by users. A recommendation based on trust is an important human-computer interaction recommendation application in a social network. However, previous studies generally assume that the trust value between users is static, unable to respond to the dynamic changes of user trust and preferences in a timely manner. In fact, after receiving the recommendation, there is a difference between actual evaluation and expected evaluation which is correlated with trust value. Based on the dynamics of trust and the changing process of trust between users, this paper proposes a trust boost method through reinforcement learning. Recursive least squares (RLS) algorithm is used to learn the dynamic impact of evaluation difference on user’s trust. In addition, a reinforcement learning method Deep Q-Learning (DQN) is studied to simulate the process of learning user’s preferences and boosting trust value. Experiments indicate that our method applied to recommendation systems could respond to the changes quickly on user’s preferences. Compared with other methods, our method has better accuracy on recommendation.
16
Bach, Tita Alissa, Amna Khan, Harry Hallock, Gabriela Beltrão, and Sonia Sousa. "A Systematic Literature Review of User Trust in AI-Enabled Systems: An HCI Perspective." International Journal of Human–Computer Interaction, November 10, 2022, 1–16. http://dx.doi.org/10.1080/10447318.2022.2138826.
Full text
17
"The Progress of Business Analytics and Knowledge Management for Enterprise Performance Using Artificial Intelligence and Man-machine Coordination." Journal of Global Information Management 30, no. 11 (April 2022): 0. http://dx.doi.org/10.4018/jgim.302642.
Full textAbstract:
This study aims to explore the integration of human-computer interaction (HCI) technology and platform ecosystem in artificial intelligence (AI) environment, thus providing a practical basis for the intelligent development of strategic management of platform ecosystem. With clothing e-commerce as an example, first, the business model of brand clothing is simply analyzed. Then, the fashion knowledge management method is adopted to build the fashion data warehouse. The platform intelligent clothing ecosystem is innovatively put forward through the research of business analytics and management mode of clothing e-commerce industry. The optimized genetic algorithm is used to solve the objective function of the model, and a flexible production scheduling model with multiple constraints and maximum cost-saving is established. Finally, the questionnaire results of voice interaction users are analyzed by HCI customer trust model.
18
Kox, E. S., L. B. Siegling, and J. H. Kerstholt. "Trust Development in Military and Civilian Human–Agent Teams: The Effect of Social-Cognitive Recovery Strategies." International Journal of Social Robotics, April 10, 2022. http://dx.doi.org/10.1007/s12369-022-00871-4.
Full textAbstract:
AbstractAutonomous agents (AA) will increasingly be deployed as teammates instead of tools. In many operational situations, flawless performance from AA cannot be guaranteed. This may lead to a breach in the human’s trust, which can compromise collaboration. This highlights the importance of thinking about how to deal with error and trust violations when designing AA. The aim of this study was to explore the influence of uncertainty communication and apology on the development of trust in a Human–Agent Team (HAT) when there is a trust violation. Two experimental studies following the same method were performed with (I) a civilian group and (II) a military group of participants. The online task environment resembled a house search in which the participant was accompanied and advised by an AA as their artificial team member. Halfway during the task, an incorrect advice evoked a trust violation. Uncertainty communication was manipulated within-subjects, apology between-subjects. Our results showed that (a) communicating uncertainty led to higher levels of trust in both studies, (b) an incorrect advice by the agent led to a less severe decline in trust when that advice included a measure of uncertainty, and (c) after a trust violation, trust recovered significantly more when the agent offered an apology. The two latter effects were only found in the civilian study. We conclude that tailored agent communication is a key factor in minimizing trust reduction in face of agent failure to maintain effective long-term relationships in HATs. The difference in findings between participant groups emphasizes the importance of considering the (organizational) culture when designing artificial team members.