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- research-articleAugust 2024
A Meta-Analysis of Vulnerability and Trust in Human–Robot Interaction
ACM Transactions on Human-Robot Interaction (THRI), Volume 13, Issue 3Article No.: 42, Pages 1–25https://doi.org/10.1145/3658897In human–robot interaction studies, trust is often defined as a process whereby a trustor makes themselves vulnerable to a trustee. The role of vulnerability however is often overlooked in this process but could play an important role in the gaining and ...
- research-articleJuly 2024
Influence on Judgements of Learning Given Perceived AI Annotations
L@S '24: Proceedings of the Eleventh ACM Conference on Learning @ ScaleJuly 2024, Pages 221–231https://doi.org/10.1145/3657604.3662044In this study, we designed a tool to investigate the relationship between students' ability to render accurate judgements of learning (JOLs) with decision-making behavior when annotating their own work and comparing it with perceived AI-generated ...
- research-articleJuly 2024Best Paper
The Impact of Perceived Tone, Age, and Gender on Voice Assistant Persuasiveness in the Context of Product Recommendations
CUI '24: Proceedings of the 6th ACM Conference on Conversational User InterfacesJuly 2024, Article No.: 20, Pages 1–15https://doi.org/10.1145/3640794.3665545Voice Assistants (VAs) can assist users in various everyday tasks, but many users are reluctant to rely on VAs for intricate tasks like online shopping. This study aims to examine whether the vocal characteristics of VAs can serve as an effective tool ...
- research-articleJuly 2024Honorable Mention
Manual, Hybrid, and Automatic Privacy Covers for Smart Home Cameras
DIS '24: Proceedings of the 2024 ACM Designing Interactive Systems ConferenceJuly 2024, Pages 3453–3470https://doi.org/10.1145/3643834.3661569Smart home cameras (SHCs) offer convenience and security to users, but also cause greater privacy concerns than other sensors due to constant collection and processing of sensitive data. Moreover, privacy perceptions may differ between primary users and ...
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- ArticleJune 2024
Comparing Human Versus Avatar Instructors of Different Ethnicities: Effects on Student Learning Outcomes Using a Virtual Learning Platform
Human Interface and the Management of InformationJun 2024, Pages 89–117https://doi.org/10.1007/978-3-031-60125-5_7AbstractThe process of education is changing in the modern world with an increased emphasis on e-learning environments that employ avatar agents as teachers. As such it is unclear how avatars compare to human instructors in online learning platforms in ...
- research-articleJune 2024
Multi-Dimensional Evaluation of an Augmented Reality Head-Mounted Display User Interface for Controlling Legged Manipulators
ACM Transactions on Human-Robot Interaction (THRI), Volume 13, Issue 2Article No.: 30, Pages 1–37https://doi.org/10.1145/3660649Controlling assistive robots can be challenging for some users, especially those lacking relevant experience. Augmented Reality (AR) User Interfaces (UIs) have the potential to facilitate this task. Although extensive research regarding legged ...
- research-articleJune 2024
Performance-Aware Trust Modeling within a Human–Multi-Robot Collaboration Setting
ACM Transactions on Human-Robot Interaction (THRI), Volume 13, Issue 2Article No.: 29, Pages 1–23https://doi.org/10.1145/3660648In this study, a novel time-driven mathematical model for trust is developed considering human–multi-robot performance for a Human–Robot Collaboration (HRC) framework. For this purpose, a model is developed to quantify human performance considering the ...
- research-articleJune 2024Best Paper
Explaining the Unexplainable: The Impact of Misleading Explanations on Trust in Unreliable Predictions for Hardly Assessable Tasks
UMAP '24: Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and PersonalizationJune 2024, Pages 36–46https://doi.org/10.1145/3627043.3659573To increase trust in systems, engineers strive to create explanations that are as accurate as possible. However, if the system’s accuracy is compromised, providing explanations for its incorrect behavior may inadvertently lead to misleading explanations. ...
- research-articleJune 2024
Exploring the Impact of Increased Health Information Accessibility in Cyberspace on Trust and Self-care Practices
SaT-CPS '24: Proceedings of the 2024 ACM Workshop on Secure and Trustworthy Cyber-Physical SystemsJune 2024, Pages 61–70https://doi.org/10.1145/3643650.3658611More health information is in cyberspace than ever before, presenting both opportunities and challenges for health information seeking and self-care practices, particularly in underserved populations who face health disparities for various reasons ...
- research-articleJune 2024
Impact of Haptic Feedback in High Latency Teleoperation for Space Applications
ACM Transactions on Human-Robot Interaction (THRI), Volume 13, Issue 2Article No.: 16, Pages 1–21https://doi.org/10.1145/3651993Remote manipulation is a key enabler for upcoming space activities such as in-orbit servicing and manufacture (IOSM). However, due to the large distances involved, these systems encounter unavoidable signal delays, which can lead to poor performance and ...
- research-articleJune 2024JUST ACCEPTED
Privacy-Preserving and Diversity-Aware Trust-based Team Formation in Online Social Networks
ACM Transactions on Intelligent Systems and Technology (TIST), Just Accepted https://doi.org/10.1145/3670411As online social networks (OSNs) become more prevalent, a new paradigm for problem-solving through crowd-sourcing has emerged. By leveraging the OSN platforms, users can post a problem to be solved and then form a team to collaborate and solve the ...
- research-articleJune 2024
From "AI" to Probabilistic Automation: How Does Anthropomorphization of Technical Systems Descriptions Influence Trust?
FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and TransparencyJune 2024, Pages 2322–2347https://doi.org/10.1145/3630106.3659040In this paper we investigate how people’s level of trust (as reported through self-assessment) in so-called “AI” (artificial intelligence) is influenced by anthropomorphizing language in system descriptions. Building on prior work, we define four ...
- research-articleJune 2024
Intervening to Increase Community Trust for Fair Network Outcomes
FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and TransparencyJune 2024, Pages 1827–1837https://doi.org/10.1145/3630106.3659008Refugees or immigrants who arrive in new countries often feel isolated. In this work, we examine how a resource-bounded public entity can make recommendations to increase integration of these new arrivals into a community. The community is made up of ...
- research-articleJune 2024
Should Users Trust Advanced AI Assistants? Justified Trust As a Function of Competence and Alignment
FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and TransparencyJune 2024, Pages 1174–1186https://doi.org/10.1145/3630106.3658964As AI assistants become increasingly sophisticated and deeply integrated into our lives, questions of trust rise to the forefront. In this paper, we build on philosophical studies of trust to investigate when user trust in AI assistants is justified. By ...
- research-articleJune 2024
When Human-AI Interactions Become Parasocial: Agency and Anthropomorphism in Affective Design
FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and TransparencyJune 2024, Pages 1068–1077https://doi.org/10.1145/3630106.3658956With the continuous improvement of large language models (LLMs), chatbots can produce coherent and continuous word sequences that mirror natural human language. While the use of natural language and human-like conversation styles enables the use of ...
- research-articleMay 2024JUST ACCEPTED
Balancing Human Likeness in Social Robots: Impact on Children’s Lexical Alignment and Self-disclosure for Trust Assessment
While there is evidence that human-like characteristics in robots could benefit child-robot interaction in many ways, open questions remain about the appropriate degree of human likeness that should be implemented in robots to avoid adverse effects on ...
- research-articleMay 2024JUST ACCEPTED
Designing Digital Voting Systems for Citizens: Achieving Fairness and Legitimacy in Participatory Budgeting
- Joshua C. Yang,
- Carina I. Hausladen,
- Dominik Peters,
- Evangelos Pournaras,
- Regula Hänggli Fricker,
- Dirk Helbing
Participatory Budgeting (PB) has evolved into a key democratic instrument for resource allocation in cities. Enabled by digital platforms, cities now have the opportunity to let citizens directly propose and vote on urban projects, using different voting ...
- keynoteMay 2024
Trustworthy by Design
ICSE '24: Proceedings of the IEEE/ACM 46th International Conference on Software EngineeringMay 2024, Article No.: 3, Pages 1–4https://doi.org/10.1145/3597503.3649400The relatively recent public release of generative artificial intelligence (AI) systems has ignited a significant leap in awareness of the capabilities of AI. In parallel, there has been a recognition of AI system limitations and the bias inherent in ...
- research-articleMay 2024
“It would work for me too”: How Online Communities Shape Software Developers’ Trust in AI-Powered Code Generation Tools
ACM Transactions on Interactive Intelligent Systems (TIIS), Volume 14, Issue 2Article No.: 11, Pages 1–39https://doi.org/10.1145/3651990While revolutionary AI-powered code generation tools have been rising rapidly, we know little about how and how to help software developers form appropriate trust in those AI tools. Through a two-phase formative study, we investigate how online ...