Trust between humans and machines, and the design of decision aids
International Journal of Man-Machine Studies - Special Issue: Cognitive Engineering in Dynamic Worlds
Trust, self-confidence, and operators' adaptation to automation
International Journal of Human-Computer Studies
Ergonomics and safety of intelligent driver interfaces
Credibility and computing technology
Communications of the ACM
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Improving automotive safety by pairing driver emotion and car voice emotion
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Wired for Speech: How Voice Activates and Advances the Human-Computer Relationship
Wired for Speech: How Voice Activates and Advances the Human-Computer Relationship
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Mobile Networks and Applications
GPS and road map navigation: the case for a spatial framework for semantic information
Proceedings of the International Conference on Advanced Visual Interfaces
I can't hear you? drivers interacting with male or female voices in native or non-native language
UAHCI'11 Proceedings of the 6th international conference on Universal access in human-computer interaction: context diversity - Volume Part III
ACM Transactions on Computer-Human Interaction (TOCHI)
Proceedings of the 3rd International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Hi-index | 0.01 |
Driving requires focused attention and timely decision making for appropriate maneuvers. This relies on well-timed and accurate information. Designing an in-vehicle information system it is important to ensure that the information for the driver does not negatively affect cognitive processing and driving performance. This study investigates levels of information accuracy necessary in in-vehicle information systems to elicit positive behavioral and attitudinal responses from the driver. In a 2 (gender) by 5 (accuracy: 100%, 88%, 76%, 64% and no system) between-participants study, 100 participants drove in a driving simulator for 25 minutes with an in-vehicle information system designed to inform the driver of hazard and traffic events. Results show that decreasing the accuracy of the system decreased both driving performance and trust and liking of car and in-vehicle system. Female drivers in particular benefit from the in-vehicle system and show higher tolerance of inaccuracies. Design implications for in-vehicle systems are discussed.