Evaluating Assistive Technologies on a Trade Fair: Methodological Overview and Lessons Learned
Baumeister, Annalies, Goldau, Felix, Pascher, Max, Gerken, Jens, Frese, Udo, Tolle, Patrizia
–arXiv.org Artificial Intelligence
User-centered evaluations are a core requirement in the development of new user related technologies. However, it is often difficult to recruit sufficient participants, especially if the target population is small, particularly busy, or in some way restricted in their mobility. We bypassed these problems by conducting studies on trade fairs that were specifically designed for our target population (potentially care-receiving individuals in wheelchairs) and therefore provided our users with external incentive to attend our study. This paper presents our gathered experiences, including methodological specifications and lessons learned, and is aimed to guide other researchers with conducting similar studies. In addition, we also discuss chances generated by this unconventional study environment as well as its limitations.
arXiv.org Artificial Intelligence
Aug-20-2024
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