Written versus spoken queries: A qualitative and quantitative comparative analysis
Journal of the American Society for Information Science and Technology - Research Articles
An architecture and applications for speech-based accessibility systems
IBM Systems Journal
Visual and Auditory Interfaces of Advanced Driver Assistant Systems for Older Drivers
ICCHP '08 Proceedings of the 11th international conference on Computers Helping People with Special Needs
The Factor Structure of the System Usability Scale
HCD 09 Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009
Proceedings of the 1st International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Usability evaluation of a Volkswagen Group in-vehicle speech system
Proceedings of the 1st International Conference on Automotive User Interfaces and Interactive Vehicular Applications
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Automotive user interfaces: human computer interaction in the car
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Handling Emotions in Human-Computer Dialogues
Handling Emotions in Human-Computer Dialogues
Emotion on the road: necessity, acceptance, and feasibility of affective computing in the car
Advances in Human-Computer Interaction - Special issue on emotion-aware natural interaction
Voice interfaced vehicle user help
Proceedings of the 2nd International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Vocal markers of emotion: Comparing induction and acting elicitation
Computer Speech and Language
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The rapid advancement of vehicular technologies has resulted in an exponential increase of new vehicle functions road assistance and connected vehicles services. Vehicle manuals are designed to provide support and information about the use and maintenance of these features. However, current vehicle user manuals do not allow looking for information under driving conditions. This paper presents the Voice User Help, a smart voice-operated system that utilizes natural language understanding and emotional adaptive interfaces to assist drivers when looking for vehicle information with minimal effect on their driving performance. Additionally, the system presents an opportunity for elder drivers to reduce the learning curve of new in-vehicle technologies and improve efficiency. Results on user acceptance of the Voice User Help, as well as cognitive load and driver distraction effects generated during a simulated drive indicate that the Voice User help is an extremely desirable feature and potentially safe application since it did not significantly decrement driving performance. Furthermore preliminary results on adaptive voice interfaces using emotion recognition indicate that personalization of the interaction will be able to palliate possible negative effects that happen during system error recovery.