Trust between humans and machines, and the design of decision aids
International Journal of Man-Machine Studies - Special Issue: Cognitive Engineering in Dynamic Worlds
The design of joint cognitive systems: the effect of cognitive coupling on performance
International Journal of Human-Computer Studies
Trust, self-confidence, and operators' adaptation to automation
International Journal of Human-Computer Studies
The Turing effect: the nature of trust in expert systems advice
Expertise in context
The mechanics of trust: a framework for research and design
International Journal of Human-Computer Studies
Towards improving trust in context-aware systems by displaying system confidence
Proceedings of the 7th international conference on Human computer interaction with mobile devices & services
Trust in new decision aid systems
IHM '06 Proceedings of the 18th International Conferenceof the Association Francophone d'Interaction Homme-Machine
Trust beyond security: an expanded trust model
Communications of the ACM - Services science
Making adaptive cruise control (ACC) limits visible
International Journal of Human-Computer Studies
How it works: a field study of non-technical users interacting with an intelligent system
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Trust, cognitive control, and control: the case of drivers using an Auto-Adaptive Cruise Control
Proceedings of the 13th Eurpoean conference on Cognitive ergonomics: trust and control in complex socio-technical systems
The role of intervening variables in driver-ACC cooperation
International Journal of Human-Computer Studies
International Journal of Human-Computer Studies
Effect of indirect information on system trust and control allocation
Behaviour & Information Technology
The effects of transparency on trust in and acceptance of a content-based art recommender
User Modeling and User-Adapted Interaction
The influence of agent reliability on trust in human-agent collaboration
ECCE '08 Proceedings of the 15th European conference on Cognitive ergonomics: the ergonomics of cool interaction
Journal of Management Information Systems
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Proceedings of the 20th International Conference of the Association Francophone d'Interaction Homme-Machine
Awareness, training and trust in interaction with adaptive spam filters
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Why and why not explanations improve the intelligibility of context-aware intelligent systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Why Are People's Decisions Sometimes Worse with Computer Support?
SAFECOMP '09 Proceedings of the 28th International Conference on Computer Safety, Reliability, and Security
Assessing demand for intelligibility in context-aware applications
Proceedings of the 11th international conference on Ubiquitous computing
Proceedings of the 2009 international conference on Multimodal interfaces
Computers in Human Behavior
Closed-loop adaptive decision support based on automated trust assessment
FAC'07 Proceedings of the 3rd international conference on Foundations of augmented cognition
User interaction with user-adaptive information filters
UI-HCII'07 Proceedings of the 2nd international conference on Usability and internationalization
Supporting intelligent and trustworthy maritime path planning decisions
International Journal of Human-Computer Studies
Experimental investigation of misuse and disuse in using automation system
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: users and applications - Volume Part IV
Trust evaluation through human-machine dialogue modelling
EPCE'11 Proceedings of the 9th international conference on Engineering psychology and cognitive ergonomics
Investigating intelligibility for uncertain context-aware applications
Proceedings of the 13th international conference on Ubiquitous computing
Effects of changing reliability on trust of robot systems
HRI '12 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
Are explanations always important?: a study of deployed, low-cost intelligent interactive systems
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
An explanation-centric approach for personalizing intelligent agents
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
A framework for explaining reliance on decision aids
International Journal of Human-Computer Studies
Impact of robot failures and feedback on real-time trust
Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction
The effect of explanations on perceived control and behaviors in intelligent systems
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
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A recent and dramatic increase in the use of automation has not yielded comparable improvements in performance. Researchers have found human operators often underutilize (disuse) and overly rely on (misuse) automated aids (Parasuraman and Riley, 1997). Three studies were performed with Cameron University students to explore the relationship among automation reliability, trust, and reliance. With the assistance of an automated decision aid, participants viewed slides of Fort Sill terrain and indicated the presence or absence of a camouflaged soldier. Results from the three studies indicate that trust is an important factor in understanding automation reliance decisions. Participants initially considered the automated decision aid trustworthy and reliable. After observing the automated aid make errors, participants distrusted even reliable aids, unless an explanation was provided regarding why the aid might err. Knowing why the aid might err increased trust in the decision aid and increased automation reliance, even when the trust was unwarranted. Our studies suggest a need for future research focused on understanding automation use, examining individual differences in automation reliance, and developing valid and reliable self-report measures of trust in automation.