Knowing about knowing: An illusion of human competence can hinder appropriate reliance on AI systems
G He, L Kuiper, U Gadiraju - Proceedings of the 2023 CHI Conference …, 2023 - dl.acm.org
The dazzling promises of AI systems to augment humans in various tasks hinge on whether
humans can appropriately rely on them. Recent research has shown that appropriate …
humans can appropriately rely on them. Recent research has shown that appropriate …
How stated accuracy of an AI system and analogies to explain accuracy affect human reliance on the system
AI systems are increasingly being used to support human decision making. It is important
that AI advice is followed appropriately. However, according to existing literature, users …
that AI advice is followed appropriately. However, according to existing literature, users …
Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making?
Abstract Concepts are an important construct in semantics, based on which humans
understand the world with various levels of abstraction. With the recent advances in …
understand the world with various levels of abstraction. With the recent advances in …
The State of Pilot Study Reporting in Crowdsourcing: A Reflection on Best Practices and Guidelines
Pilot studies are an essential cornerstone of the design of crowdsourcing campaigns, yet
they are often only mentioned in passing in the scholarly literature. A lack of details …
they are often only mentioned in passing in the scholarly literature. A lack of details …
AiLingo–A design science approach to advancing non-expert adults' AI literacy
Non-experts struggle in human-AI collaboration due to AI's differences from more traditional
technologies, such as inscrutability. Meanwhile, information systems research on AI …
technologies, such as inscrutability. Meanwhile, information systems research on AI …
An Information Bottleneck Characterization of the Understanding-Workload Tradeoff in Human-Centered Explainable AI
Recent advances in artificial intelligence (AI) have underscored the need for explainable AI
(XAI) to support human understanding of AI systems. Consideration of human factors that …
(XAI) to support human understanding of AI systems. Consideration of human factors that …
Impact of Model Interpretability and Outcome Feedback on Trust in AI
D Ahn, A Almaatouq, M Gulabani… - Proceedings of the CHI …, 2024 - dl.acm.org
This paper bridges the gap in Human-Computer Interaction (HCI) research by comparatively
assessing the effects of interpretability and outcome feedback on user trust and collaborative …
assessing the effects of interpretability and outcome feedback on user trust and collaborative …
Preferences for AI Explanations Based on Cognitive Style and Socio-Cultural Factors
Designing AI systems with the capacity to explain their behaviour is paramount to enable
human oversight, facilitate trust, promote acceptance of technology and, ultimately, empower …
human oversight, facilitate trust, promote acceptance of technology and, ultimately, empower …
Using Open Data to Automatically Generate Localized Analogies
Numerical analogies (or “perspectives”) that translate unfamiliar measurements into
comparisons with familiar reference objects (eg,“275,000 square miles is roughly as large as …
comparisons with familiar reference objects (eg,“275,000 square miles is roughly as large as …
To Err Is AI! Debugging as an Intervention to Facilitate Appropriate Reliance on AI Systems
G He, A Bharos, U Gadiraju - Proceedings of the 35th ACM Conference …, 2024 - dl.acm.org
Powerful predictive AI systems have demonstrated great potential in augmenting human
decision making. Recent empirical work has argued that the vision for optimal human-AI …
decision making. Recent empirical work has argued that the vision for optimal human-AI …