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TAS 2024: Austin, TX, USA
- Proceedings of the Second International Symposium on Trustworthy Autonomous Systems, TAS 2024, Austin, TX, USA, September 16-18, 2024. ACM 2024, ISBN 979-8-4007-0989-0
Full Papers
- Ayodeji Opeyemi Abioye
, Lisa Bidgood
Mapping Safe Zones for Co-located Human-UAV Interaction. 1:1-1:10 - Johanna Ahlskog
Fostering Trust Through User Interface Design in Multi-Drone Search and Rescue. 2:1-2:11 - Zena Assaad
A risk-based trust framework for assuring the humans in human-machine teaming. 3:1-3:9 - Maria-Theresa Bahodi
Show Me What?s Wrong: Impact of Explicit Alerts on Novice Supervisors of a Multi-Robot Monitoring System. 4:1-4:17 - Pepita Barnard
A Multimethod Analysis of US Perspectives towards Trustworthy Autonomous Systems. 5:1-5:11 - Steve Benford
Negotiating Autonomy and Trust when Performing with an AI Musician. 6:1-6:10 - Harriet R. Cameron
A Taxonomy of Domestic Robot Failure Outcomes: Understanding the impact of failure on trustworthiness of domestic robots. 7:1-7:14 - Harriet R. Cameron
Trustworthy Airspaces of the Future: Hopes and concerns of experts regarding Uncrewed Traffic Management systems. 8:1-8:10 - Cheng Chen
Is Your Prompt Detailed Enough? Exploring the Effects of Prompt Coaching on Users' Perceptions, Engagement, and Trust in Text-to-Image Generative AI Tools. 9:1-9:12 - Cheng Chen
When to Explain? Exploring the Effects of Explanation Timing on User Perceptions and Trust in AI systems. 10:1-10:17 - Jérémie Clos
LOOM: a Privacy-Preserving Linguistic Observatory of Online Misinformation. 11:1-11:9 - Liz Dowthwaite
Technology for Environmental Policy: Exploring Perceptions, Values, and Trust in a Citizen Carbon Budget App. 12:1-12:13 - Zahra Rezaei Khavas
Human-Robot Interaction Experiment: Minor Changes; Significant Differences. 13:1-13:13 - Theresa Law
Trust Transfer in Robots between Task Environments. 14:1-14:9 - Natalie Leesakul
Not the Law's First Rodeo: Towards regulating trustworthy collaborative industrial embodied autonomous systems. 15:1-15:10 - Sanja Milivojevic
Swift Trust in Mobile Ad Hoc Human-Robot Teams. 16:1-16:10 - Thiago Guimaraes Moraes
Ethical AI Regulatory Sandboxes: Insights from cyberspace regulation and Internet governance. 17:1-17:10 - Puntis Palazzolo
Measurable Trust: The Key to Unlocking User Confidence in Black-Box AI. 18:1-18:7 - Jo-Ann Pattinson
I can do anything with my AV data (but I won't do that): Public attitudes towards data recorders in self-driving cars. 19:1-19:16 - Asieh Salehi Fathabadi
"Trust equals less death - it's as simple as that" : Developing a Socio-technical Framework for Trustworthy Defence and Security Automated Systems. 20:1-20:10 - Yun Tang
Encoding Social & Ethical Values in Autonomous Navigation: Philosophies Behind an Interactive Online Demonstration. 21:1-21:9 - Carolyn Ten Holter
What's missing from this picture? Ethical, legal, and practical challenges for autonomous-vehicle data-recorders. 22:1-22:13
Extended Abstracts
- Kathryn Baguley
Design and Evaluation of a Tool to assist Small-Medium Organisations (SMOs) to implement Automated Decision-Making (ADM). 23:1-23:5 - Andriana Boudouraki
An Interdependence Frame for (Semi) Autonomous Robots: The Case of Mobile Robotic Telepresence. 24:1-24:5 - Jérémie Clos
Investigating the Impact of Generative AI on Students and Educators: Evidence and Insights from the Literature. 25:1-25:6 - Xin Yu Liew
Designing and Evaluating a Discourse Analysis Dashboard. 26:1-26:5 - Glenn McGarry
Responsibility and Regulation: Exploring Social Measures of Trust in Medical AI. 27:1-27:5 - Timothy Merritt
The Final 100 Meters: Touch and Joystick Controls for Guiding Autonomous Vehicles. 28:1-28:6 - Eleftherios Papachristos
Sound Strategies for Safe Driving: Exploring Auditory Interventions to Counteract Passive Driver Fatigue. 29:1-29:6 - Virginia Portillo
Responsibility Statement on research project outputs- to who and what for? 30:1-30:4 - Gisela Reyes-Cruz
Reimagining the Design of Mobile Robotic Telepresence: Reflections from a Hybrid Design Workshop. 31:1-31:7 - Giovanni Schiazza
Meta-Meme: a Responsible Researcher?s Tool for the analysis of Internet Memes. 32:1-32:5 - Tina Seabrooke
A Survey of Lay People's Willingness to Generate Legal Advice using Large Language Models (LLMs). 33:1-33:5 - Sharon Strover
Uneven Eyes: The Impact of Inconsistent Local Surveillance Policies on Public Trust. 34:1-34:5 - Helena Webb
Responsible AI in policing. 35:1-35:5 - Omar Zeghouani
Examining the Feasibility of AI-Generated Questions in Educational Settings. 36:1-36:6
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