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ASAM: an Automotive Self-Assessment Method for Driver Arousal and Valence

We introduce a free-to-use online application to determine a user's emotional state while driving. ASAM can be used to repetitively sample the driver’s emotion, based on the dimensions arousal and valence. We optimized the application for usage in situations where undivided attention to a primary task is of importance (e.g. driving), giving special focus on keeping the induced workload at a minimum. When setting up your first run you are asked for a project name and email. Results can be accessed with these two infos as credentials. Values for arousal and valence are logged on a scale from 0 to 100 and can so easily be projected onto Russels’s circumplex model. Due to the fast and easy way of interacting with this system, we propose this method to be used repeatedly in fixed time intervals during the ride. Hence it can be seen as an affective extension of the experience sampling method. A study to validate the concept is currently in progress.

ASAM is a free-to-use online tool to assess user emotions without distraction. The generated data is stored anonymously and can later be accessed for analysis.


If you use this in your research please cite our work.

Michael Braun and Karina Serres. 2017. ASAM: an Emotion Sampling Method for the Automotive Industry. In Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct (AutomotiveUI '17). ACM, New York, NY, USA, 230-232. DOI: https://doi.org/10.1145/3131726.3132044

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