Evaluating Assistive Technologies on a Trade Fair: Methodological Overview and Lessons Learned Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.2408.10933
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.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2408.10933
- https://arxiv.org/pdf/2408.10933
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403012010
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4403012010Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2408.10933Digital Object Identifier
- Title
-
Evaluating Assistive Technologies on a Trade Fair: Methodological Overview and Lessons LearnedWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-08-20Full publication date if available
- Authors
-
Annalies Baumeister, Felix Ferdinand Goldau, Max Pascher, Jens Gerken, Udo Frese, Patrizia TolleList of authors in order
- Landing page
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https://arxiv.org/abs/2408.10933Publisher landing page
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https://arxiv.org/pdf/2408.10933Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2408.10933Direct OA link when available
- Concepts
-
Assistive technology, Computer science, Business, Human–computer interactionTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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