Exploring diversity perceptions in a community through a Q&A chatbot
February 13, 2024 Β· Declared Dead Β· π Proceedings of DRS
"No code URL or promise found in abstract"
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Authors
Peter Kun, Amalia De GΓΆtzen, Miriam Bidoglia, Niels JΓΈrgen Gommesen, George Gaskell
arXiv ID
2402.08558
Category
cs.HC: Human-Computer Interaction
Citations
7
Venue
Proceedings of DRS
Last Checked
4 months ago
Abstract
While diversity has become a debated issue in design, very little research exists on positive use-cases for diversity beyond scholarly criticism. The current work addresses this gap through the case of a diversity-aware chatbot, exploring what benefits a diversity-aware chatbot could bring to people and how do people interpret diversity when being presented with it. In this paper, we motivate a Q&A chatbot as a technology probe and deploy it in two student communities within a study. During the study, we collected contextual data on people's expectations and perceptions when presented with diversity during the study. Our key findings show that people seek out others with shared niche interests, or their search is driven by exploration and inspiration when presented with diversity. Although interacting with chatbots is limited, participants found the engagement novel and interesting to motivate future research.
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