Clemens Schartmüller
Philipp Wintersberger
Andreas Riener
ABSTRACT
Hands-on research involving multiple tools and high fidelity prototypes is very rewarding. However, preparation, execution and evaluation is slow and inefficient due to the lack of streamlined development & analysis environments. Therefore, we demonstrate the prototyping capabilities of "User Studies Made Easy" -- a software framework for multi-tool user studies. To do so, we showcase a simple dashboard HMI, which uses live data from a driving simulation and physiological assessment tools, with an emphasis on how little effort was needed to implement it. Additionally offering the opportunity to participate in a hackathon competition for a trust calibrating dashboard further fosters discussion about possible improvements to USE, as well as the topic of trust and acceptance in automation.
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Digital Library
- Stephen M. Casner, Edwin L. Hutchins, and Don Norman. 2016. The challenges of partially automated driving. Commun. ACM 59, 5 (apr 2016), 70--77. Google ScholarDigital Library
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- Peter G. Neumann. 2016. Risks of automation. Commun. ACM 59, 10 (sep 2016), 26--30.Google ScholarDigital Library
- Andreas Riener, Myounghoon Jeon, Ignacio Alvarez, and Anna K Frison. 2017. Driver in the Loop: Best Practices in Automotive Sensing and Feedback Mechanisms. In Automotive User Interfaces. Springer International Publishing, 295--323.Google Scholar
- Victor Palacios Rivera, Laura Rumbel, and Ignacio Alvarez. 2016. Autonomous HMI Made Easy: Prototyping Reactive In-cabin Aware HMIs. (2016), 1--7. Google ScholarDigital Library
- Philipp Wintersberger, Anna-Katharina Frison, Andreas Riener, and Linda Ng Boyle. 2016. Towards a Personalized Trust Model for Highly Automated Driving. Mensch und Computer 2016 Workshopband (2016).Google Scholar
Index Terms
- Interactive Demo: Rapid, Live Data Supported Prototyping with U.S.E.
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