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Article
Computer Science, Cybernetics
Hyesun Choung et al.
Summary: As AI technologies become more common, understanding user trust is important. This paper explores the role of trust in the intention to use AI technologies, finding that trust affects intention through perceived usefulness and attitude. The study also examines different dimensions of trust, finding that functionality trust has a greater impact on intention.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Computer Science, Information Systems
Mohammad Hossein Jarrahi et al.
Summary: Artificial intelligence shapes work and organization, while work and organization also influence AI. In this special issue, we investigate these reciprocal transformations and their manifestations across various industries and occupations. We argue that understanding the use of AI in relation to crucial dimensions of the work context is essential for comprehending its transformative power.
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY
(2023)
Review
Information Science & Library Science
Sage Kelly et al.
Summary: Artificial Intelligence (AI) agents are expected to infiltrate most industries in the next decade, leading to a shift towards this new technology. However, research on user acceptance of AI technology has been dispersed and lacks systematic synthesis, limiting our understanding in this area.
TELEMATICS AND INFORMATICS
(2023)
Article
Communication
Alexa Robertson et al.
Summary: This article focuses on the stories told by expert activists about the relationship between AI and inequality. It analyzes the internet governance discourse in two global and liminal fora, RightsCon and Sweden's Internet Days. The narratives of 30 expert activists from around the world are examined to understand how AI is seen as either beneficial or detrimental to social and communicative inequality. The narratives resist rapid technological advancement and challenge popular apocalyptic AI narratives, contributing to a better understanding of the socio-technico imaginaries of these actors.
TELECOMMUNICATIONS POLICY
(2023)
Article
Multidisciplinary Sciences
Giovanni Spitale et al.
Summary: Artificial intelligence (AI) is being used to determine the credibility of information and tweets, and it is found that AI can produce both accurate and compelling disinformation. Furthermore, humans are unable to distinguish between tweets generated by AI and those written by real Twitter users. These findings highlight the dangers of AI in spreading disinformation and suggest the need for better information campaigns to protect global health.
Article
Computer Science, Artificial Intelligence
Neil Selwyn et al.
Summary: This paper examines the levels of understandings amongst the Australian public toward AI technologies, finding that while most respondents consider themselves to have little knowledge on the subject, there exists a considerable range of relatively 'plausible' basic understandings. The survey shows a willingness among many to reassess their opinions once having received further information, with these patterns remaining consistent across different demographic characteristics.
Article
Psychology, Multidisciplinary
Sabrina Gado et al.
Summary: Psychologists can provide valuable insights for the development of AI systems, thus it is important to raise awareness and curiosity about AI among psychology students and integrate relevant technology knowledge into their education and training. The study revealed that perceived usefulness and ease of use are strong predictors for psychology students' attitudes towards AI, with attitude, perceived usefulness, social norm, and perceived knowledge influencing their intention to use AI.
PSYCHOLOGY LEARNING AND TEACHING-PLAT
(2022)
Article
Psychology, Multidisciplinary
Kaifeng Liu et al.
Summary: This study investigated the roles of trust and three AI-specific characteristics in public acceptance of smart healthcare services based on an extended Technology Acceptance Model, with results showing the importance of perceived usefulness, perceived ease of use, and AI-specific characteristics in shaping public acceptance. The study also demonstrated the critical roles of personalization, loss of privacy, and anthropomorphism in shaping public trust and acceptance of smart healthcare services, offering important theoretical and practical implications for the design and implementation of such services.
COMPUTERS IN HUMAN BEHAVIOR
(2022)
Article
Political Science
Lisa Schmidthuber et al.
Summary: This study explores how the causal attributions of government responses to citizen requests on crowdsourcing platforms affect citizens' continued participation. The study finds that when citizen requests are denied by the government, citizens are less willing to collaborate further, even if the responsibility lies with the government. The study contributes to understanding the role of responsiveness in digital interaction between citizens and government and emphasizes the importance of rationale transparency for sustaining citizen participation.
PUBLIC ADMINISTRATION
(2022)
Article
Engineering, Industrial
Lars Meyer-Waarden et al.
Summary: Artificial intelligence-powered autonomous vehicles are highly anticipated technological advancements, but consumer reluctance towards adoption exists. Understanding the factors influencing user acceptance, such as psychological, social, and cognitive factors, is crucial. The study found that factors like performance/effort expectancy, social recognition, well-being, hedonism, technology trust, and security positively influence user intention to use AI-powered AVs, while privacy concerns have a negative impact.
Article
Computer Science, Artificial Intelligence
Valentina Fietta et al.
Summary: The latest developments in artificial intelligence (AI) have raised many ethical and socio-economic issues. While most participants explicitly express a positive attitude towards AI, their implicit responses appear to be in the opposite direction. Females tend to show more negative attitudes than males, and those working in the AI field are more positive towards AI.
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS
(2022)
Article
Education & Educational Research
Tanya Nazaretsky et al.
Summary: This research underscores the importance of increasing teachers' theoretical and practical knowledge about AI in education in order to gain their trust in AI-EdTech in K-12 education. Through experiments with K-12 science teachers interacting with a specific AI-powered assessment tool, the results indicate that explaining how AI makes decisions in comparison to human experts and how it complements teachers rather than replacing them can lessen teachers' concerns and improve their trust in AI-EdTech.
BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY
(2022)
Article
Psychology, Multidisciplinary
Sage Kelly et al.
Summary: Artificial intelligence (AI) chatbots are expected to be the defining technology of the next decade due to their ability to enhance human capability at a low cost. This study applied an extended Technology Acceptance Model to assess individuals' behavioral intentions to use AI chatbots in different industries. The results showed that perceived usefulness and trust were significant predictors of behavioral intentions across all behaviors, while perceived ease of use and privacy concerns had different influences on behavioral intentions for different industries.
HUMAN BEHAVIOR AND EMERGING TECHNOLOGIES
(2022)
Review
Psychiatry
Scott Monteith et al.
Summary: This narrative review aims to describe the complex reasons for the low technology maturity of artificial intelligence in clinical medicine and set realistic expectations for its safe and routine use. It is necessary to address technical issues such as data quality and black-box opacity, as well as human factors like a lack of AI education. Discovering, developing, validating, and implementing solutions will take time.
CURRENT PSYCHIATRY REPORTS
(2022)
Article
Computer Science, Artificial Intelligence
Tan Yigitcanlar et al.
Summary: This paper explores the public perception of artificial intelligence (AI) among residents of Sydney, Melbourne, and Brisbane through an online survey and statistical analysis. The findings reveal that the public is concerned about AI infringing upon privacy, but not about AI surpassing human intelligence. Trust in AI is higher when it comes to personal lifestyle compared to AI deployment by companies and government. The public appreciates the benefits of AI in urban services and disaster management. Variations in public perception are observed depending on the local context, and the drivers behind public perception include gender, age, AI knowledge, and experience.
Proceedings Paper
Computer Science, Artificial Intelligence
Mona Sloane et al.
Summary: This paper critiques popular modes of participation in design practice and machine learning, arguing that the machine learning community needs to be aware of potentially exploitative forms of community involvement. It suggests expanding the understanding of participation to include more subtle, possibly exploitative forms of community involvement in participatory machine learning design.
ACM CONFERENCE ON EQUITY AND ACCESS IN ALGORITHMS, MECHANISMS, AND OPTIMIZATION, EAAMO 2022
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Abeba Birhane et al.
Summary: Participatory approaches to AI and ML are gaining attention as they offer inclusive, fair, responsible, and reliable AI. However, there is a lack of clarity on what meaningful participation entails. This paper reviews the historical context and methods of participatory approaches in AI and ML, and presents three case studies in participatory AI. While participation has the potential for beneficial technology design and development, there are concerns about its misuse and confusion with other activities. Therefore, understanding the background and primary beneficiaries of participation is crucial to realizing its benefits and opportunities.
ACM CONFERENCE ON EQUITY AND ACCESS IN ALGORITHMS, MECHANISMS, AND OPTIMIZATION, EAAMO 2022
(2022)
Article
Business
Jun Luo et al.
Summary: Through a field experiment conducted in China, this study found that different types of donor recognition have varying effects on individual giving, and there is no one-size-fits-all approach. Decision makers of nonprofit organizations need to choose the appropriate donor recognition type based on their fundraising goals.
JOURNAL OF PHILANTHROPY AND MARKETING
(2022)
Article
Construction & Building Technology
Seunguk Na et al.
Summary: This research examined the factors influencing end-users' intentions and acceptance of AI-based technology in construction companies. The study found that technological factors, external variables, and individual personality had a positive impact on the perceived usefulness and ease of use of AI-based technology. However, environmental factors such as suggestions from others were found to disrupt users' technology acceptance. Organizational factors such as support, culture, and participation were identified as important for the successful implementation of AI-based technology.
Article
Business
Youngkeun Choi
Summary: This study is the first to reveal the role of artificial intelligence in the context of a front-line service meeting to understand how users accept AI technology-enabled service. The results show that clarity of user and AI's roles, user's motivation to adopt AI-based technology, and user's ability in the context of the adoption of AI-based technology positively influence their willingness to accept AI technology.
EUROPEAN JOURNAL OF MANAGEMENT AND BUSINESS ECONOMICS
(2021)
Article
Ethics
Gesine Richter et al.
Summary: The survey found that German patients have a high level of acceptance towards donating data for medical research, with the main reason being the belief that every citizen has a duty to contribute to medical research. Additionally, patients showed a clear distinction between research conducted within and outside the EU, with a low willingness to allow commercial companies to use donated data.
BMC MEDICAL ETHICS
(2021)
Editorial Material
Medicine, General & Internal
David Leslie et al.
BMJ-BRITISH MEDICAL JOURNAL
(2021)
Article
Green & Sustainable Science & Technology
Kyung Hwa Seo et al.
Summary: This study examines consumer behaviors in robot restaurant settings and finds that trust plays a significant role in consumers' revisit intention. Perceived usefulness and perceived ease of use have direct impacts on consumers' revisit intention to robot restaurants. Additionally, trust in robot service decreases perceived risk and increases satisfaction.
Article
Behavioral Sciences
Alexandra D. Kaplan et al.
Summary: This meta-analysis examines significant factors that predict trust in artificial intelligence, including human trustors, AI trustees, and their shared context. Results show that factors such as AI reliability and anthropomorphism are important predictors of trust.
Article
Social Sciences, Interdisciplinary
Joseph Donia et al.
Summary: The use of AI/ML in healthcare is growing rapidly, making patient and public involvement in the design of these technologies more crucial. However, there are challenges and limitations to co-design as a strategy due to the introduction of new technologies like AI/ML. These new technologies have amplified and modified existing challenges related to patient and public involvement, creating the need to address both old and new issues.
BIG DATA & SOCIETY
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Sonia Sousa et al.
Summary: This study explores how to measure perceived Trust in technology across culture using the HCTM questionnaire and aims to provide insights on trust behaviors and trustworthy design practices. Results indicate that the HCTS can be a useful tool to map users trust predispositions but needs additional guidance on analysis and interpretation.
HUMAN-COMPUTER INTERACTION, INTERACT 2021, PT V
(2021)
Article
Psychology, Multidisciplinary
Omri Gillath et al.
Summary: The study shows an association between attachment style and trust in AI, with attachment security increasing trust while attachment anxiety decreasing it. Exposure to attachment security cues can also increase trust in AI.
COMPUTERS IN HUMAN BEHAVIOR
(2021)
Article
Business
Felix Septianto et al.
Summary: The study found that recognition can increase charitable behavior among consumers with high extrinsic religiosity but low intrinsic religiosity, with the mediating effect of status motive. This research offers a new perspective on how marketers can strategically use recognition to encourage charitable behavior among religious consumers, specifically in Asia.
EUROPEAN JOURNAL OF MARKETING
(2021)
Article
Computer Science, Interdisciplinary Applications
Hamaad Rafique et al.
COMPUTERS & EDUCATION
(2020)
Article
Biology
Manu Goyal et al.
COMPUTERS IN BIOLOGY AND MEDICINE
(2020)
Article
Ergonomics
Sherrie-Anne Kaye et al.
ACCIDENT ANALYSIS AND PREVENTION
(2020)
Article
Computer Science, Interdisciplinary Applications
Daniel Belanche et al.
INDUSTRIAL MANAGEMENT & DATA SYSTEMS
(2019)
Article
Multidisciplinary Sciences
Anya Skatova et al.
Article
Medicine, General & Internal
Keyi Yang et al.
PATIENT PREFERENCE AND ADHERENCE
(2019)
Article
Information Science & Library Science
Dogan Gursoy et al.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2019)
Article
Economics
Redzo Mujcic et al.
Article
Social Issues
Katherine M. White et al.
NONPROFIT AND VOLUNTARY SECTOR QUARTERLY
(2017)
Article
Health Care Sciences & Services
Xitong Guo et al.
TELEMEDICINE AND E-HEALTH
(2015)
Review
Hematology
E. Ferguson
TRANSFUSION MEDICINE
(2015)
Article
Health Care Sciences & Services
Xitong Guo et al.
TELEMEDICINE AND E-HEALTH
(2015)
Article
Health Care Sciences & Services
Jodyn Platt et al.
JOURNAL OF PERSONALIZED MEDICINE
(2015)
Article
Information Science & Library Science
Fons Wijnhoven et al.
GOVERNMENT INFORMATION QUARTERLY
(2015)
Article
Hematology
R. Evans et al.
Article
Sport Sciences
Travis W. Beck
JOURNAL OF STRENGTH AND CONDITIONING RESEARCH
(2013)
Article
Psychology, Social
Elizabeth A. Pomery et al.
PERSONALITY AND SOCIAL PSYCHOLOGY BULLETIN
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Article
Hematology
Roz McMahon et al.
Article
Computer Science, Artificial Intelligence
T. C. Edwin Cheng et al.
DECISION SUPPORT SYSTEMS
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Article
Computer Science, Information Systems
MY Yi et al.
INFORMATION & MANAGEMENT
(2006)
Article
Public, Environmental & Occupational Health
P van Empelen et al.
PSYCHOLOGY & HEALTH
(2006)
Review
Information Science & Library Science
T Dinev et al.
INFORMATION SYSTEMS RESEARCH
(2006)
Article
Psychology, Social
G Carlo et al.
PERSONALITY AND INDIVIDUAL DIFFERENCES
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Article
Computer Science, Information Systems
V Venkatesh et al.
Review
Computer Science, Information Systems
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Article
Management
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