International Journal of Man-Machine Studies
International Journal of Human-Computer Studies
A feedback model to understand information system usage
Information and Management
Embodiment in conversational interfaces: Rea
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
International Journal of Human-Computer Studies - Special issue on HCI and MIS
Thank you, I did not see that: in-car speech based information systems for older adults
CHI '05 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
CarCoach: a polite and effective driving coach
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Understanding e-learning continuance intention: An extension of the Technology Acceptance Model
International Journal of Human-Computer Studies
International Journal of Human-Computer Studies - Human-computer interaction research in the managemant information systems discipline
A user study of auditory versus visual interfaces for use while driving
International Journal of Human-Computer Studies
Acceptance of future persuasive in-car interfaces towards a more economic driving behaviour
Proceedings of the 1st International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Information and Management
Applying the TAM to travelers' usage intentions of GPS devices
Expert Systems with Applications: An International Journal
Trust and TAM in online shopping: an integrated model
MIS Quarterly
Extending the Technology Acceptance Model to assess automation
Cognition, Technology and Work - Special Issue on Human-automation Coagency
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Vehicle crashes caused by driver distraction are of increasing concern. One approach to reduce the number of these crashes mitigates distraction by giving drivers feedback regarding their performance. For these mitigation systems to be effective, drivers must trust and accept them. The objective of this study was to evaluate real-time and post-drive mitigation systems designed to reduce driver distraction. The real-time mitigation system used visual and auditory warnings to alert the driver to distracting behavior. The post-drive mitigation system coached drivers on their performance and encouraged social conformism by comparing their performance to peers. A driving study with 36 participants between the ages of 25 and 50 years old (M=34) was conducted using a high-fidelity driving simulator. An extended Technology Acceptance Model captured drivers' acceptance of mitigation systems using four constructs: perceived ease of use, perceived usefulness, unobtrusiveness, and behavioral intention to use. Perceived ease of use was found to be the primary determinant and perceived usefulness the secondary determinant of behavioral intention to use, while the effect of unobtrusiveness on intention to use was fully mediated by perceived ease of use and perceived usefulness. The real-time system was more obtrusive and less easy to use than the post-drive system. Although this study included a relatively narrow age range (25 to 50 years old), older drivers found both systems more useful. These results suggest that informing drivers with detailed information of their driving performance after driving is more acceptable than warning drivers with auditory and visual alerts while driving.