Cover Image

What Motivates People to Trust 'AI' Systems?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Inie, Nanna
Format:	Preprint
Published:	2024
Subjects:	Human-Computer Interaction
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From "AI" to Probabilistic Automation: How Does Anthropomorphization of Technical Systems Descriptions Influence Trust?
by: Inie, Nanna, et al.
Published: (2024)

The HCI GenAI CO2ST Calculator: A Tool for Calculating the Carbon Footprint of Generative AI Use in Human-Computer Interaction Research
by: Inie, Nanna, et al.
Published: (2025)

Summon a Demon and Bind it: A Grounded Theory of LLM Red Teaming
by: Inie, Nanna, et al.
Published: (2023)

Hacc-Man: An Arcade Game for Jailbreaking LLMs
by: Valentim, Matheus, et al.
Published: (2024)

To Trust or Distrust Trust Measures: Validating Questionnaires for Trust in AI
by: Scharowski, Nicolas, et al.
Published: (2024)

What Guides Our Choices? Modeling Developers' Trust and Behavioral Intentions Towards GenAI
by: Choudhuri, Rudrajit, et al.
Published: (2024)

AI Trust Reshaping Administrative Burdens: Understanding Trust-Burden Dynamics in LLM-Assisted Benefits Systems
by: Jo, Jeongwon, et al.
Published: (2025)

What Explains Teachers' Trust of AI in Education across Six Countries?
by: Viberg, Olga, et al.
Published: (2023)

How Culture Shapes What People Want From AI
by: Ge, Xiao, et al.
Published: (2024)

What People See (and Miss) About Generative AI Risks: Perceptions of Failures, Risks, and Who Should Address Them
by: Li, Megan, et al.
Published: (2026)

UXer-AI Collaboration Process for Enhancing Trust
by: Yoon, Harin, et al.
Published: (2025)

What Needs Attention? Prioritizing Drivers of Developers' Trust and Adoption of Generative AI
by: Choudhuri, Rudrajit, et al.
Published: (2025)

Do We Know What They Know We Know? Calibrating Student Trust in AI and Human Responses Through Mutual Theory of Mind
by: Pal, Olivia, et al.
Published: (2026)

AI Literacy Education for Older Adults: Motivations, Challenges and Preferences
by: KangJie, Eugene Tang, et al.
Published: (2025)

What Sensors See, What People Feel: An Exploratory Study of Subjective Collaboration Perception in Mixed Reality
by: Chandio, Yasra, et al.
Published: (2025)

Trust in Generative AI among students: An Exploratory Study
by: Amoozadeh, Matin, et al.
Published: (2023)

VRSight: An AI-Driven Scene Description System to Improve Virtual Reality Accessibility for Blind People
by: Killough, Daniel, et al.
Published: (2025)

Preliminary Quantitative Study on Explainability and Trust in AI Systems
by: Sunny, Allen Daniel
Published: (2025)

What Lies Beneath? Exploring the Impact of Underlying AI Model Updates in AI-Infused Systems
by: Mohanty, Vikram, et al.
Published: (2023)

What Does It Take? Developing a Smartphone App that Motivates Older Adults to be Physically Active
by: Haque, Sabrina, et al.
Published: (2025)

Negotiating Digital Identities with AI Companions: Motivations, Strategies, and Emotional Outcomes
by: Ma, Renkai, et al.
Published: (2026)

Misfitting With AI: How Blind People Verify and Contest AI Errors
by: Alharbi, Rahaf, et al.
Published: (2024)

Guided By AI: Navigating Trust, Bias, and Data Exploration in AI-Guided Visual Analytics
by: Ha, Sunwoo, et al.
Published: (2024)

Trust in Transparency: How Explainable AI Shapes User Perceptions
by: Sunny, Allen Daniel
Published: (2025)

Optimized but Unowned: How AI-Authored Goals Undermine the Motivation They Are Meant to Drive
by: Chi, Vivienne Bihe, et al.
Published: (2026)

Effect of AI Performance, Risk Perception, and Trust on Human Dependence in Deepfake Detection AI system
by: Zhou, Yingfan, et al.
Published: (2025)

Human and AI Trust: Trust Attitude Measurement Instrument
by: Larasati, Retno
Published: (2025)

What Drives You to Interact?: The Role of User Motivation for a Robot in the Wild
by: Koike, Amy, et al.
Published: (2025)

Healthcare Voice AI Assistants: Factors Influencing Trust and Intention to Use
by: Zhan, Xiao, et al.
Published: (2024)

Take It, Leave It, or Fix It: Measuring Productivity and Trust in Human-AI Collaboration
by: Qian, Crystal, et al.
Published: (2024)

The Impact of AI Explanations on Clinicians Trust and Diagnostic Accuracy in Breast Cancer
by: Rezaeian, Olya, et al.
Published: (2024)

Understanding Attitudes and Trust of Generative AI Chatbots for Social Anxiety Support
by: Wang, Yimeng, et al.
Published: (2025)

What Shapes User Trust in ChatGPT? A Mixed-Methods Study of User Attributes, Trust Dimensions, Task Context, and Societal Perceptions among University Students
by: Bouyzourn, Kadija, et al.
Published: (2025)

What's in People's Digital File Collections?
by: Dinneen, Jesse David, et al.
Published: (2024)

Beyond Intrinsic Motivation: The Role of Autonomous Motivation in User Experience
by: Bennett, Daniel, et al.
Published: (2024)

Explainability and AI Confidence in Clinical Decision Support Systems: Effects on Trust, Diagnostic Performance, and Cognitive Load in Breast Cancer Care
by: Rezaeian, Olya, et al.
Published: (2025)

Trust in AI among Middle Eastern CS Students: Investigating Students' Trust and Usage Patterns Across Saudi Arabia, Kuwait and Jordan
by: Alkhamees, Saleh, et al.
Published: (2026)

Presenting Large Language Models as Companions Affects What Mental Capacities People Attribute to Them
by: Chen, Allison, et al.
Published: (2025)

Should AI Mimic People? Understanding AI-Supported Writing Technology Among Black Users
by: Basoah, Jeffrey, et al.
Published: (2025)

Shades of Uncertainty: How AI Uncertainty Visualizations Affect Trust in Alzheimer's Predictions
by: Reyes, Jonatan, et al.
Published: (2026)