IBM computer usability satisfaction questionnaires: psychometric evaluation and instructions for use
International Journal of Human-Computer Interaction
Adaptive interfaces and agents
The human-computer interaction handbook
Computational Intelligence: An Introduction
Computational Intelligence: An Introduction
Developing a low-cost driving simulator for the evaluation of in-vehicle technologies
Proceedings of the 1st International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Cars, calls, and cognition: investigating driving and divided attention
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Benefits and costs of adaptive user interfaces
International Journal of Human-Computer Studies
Design and evaluation of a multimodal interface for in-car communication systems
SAICSIT '10 Proceedings of the 2010 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists
Hang on a sec!: effects of proactive mediation of phone conversations while driving
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Undistracted driving: a mobile phone that doesn't distract
Proceedings of the 12th Workshop on Mobile Computing Systems and Applications
Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
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This paper discusses the impact of an adaptive prototype in-car communication system (ICCS), called MIMI (Multimodal Interface for Mobile Info-communication), on driver distraction. Existing ICCSs attempt to minimise the visual and manual distraction, but more research needs to be done to reduce cognitive distraction. MIMI was designed to address usability and safety issues with existing ICCSs. Few ICCSs available today consider the driver's context in the design of the user interface. An adaptive user interface (AUI) was designed and integrated into a conventional dialogue system in order to prevent the driver from receiving calls and sending text messages under high distraction conditions. The current distraction level is detected by a neural network using the driving speed and steering wheel angle of the car as inputs. An adaptive version of MIMI was compared to a non-adaptive version in a user study conducted using a simple driving simulator. The results obtained showed that the adaptive version provided several usability and safety benefits, including reducing the cognitive load, and that the users preferred the adaptive version.