Stefan Geisler
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Articles (7)
Year:
2024
Chatbot technology is increasingly emerging as a virtual assistant. Chatbots could allow individuals and organizations to accomplish objectives that are currently not fully optimized for collaboration across an intergenerational context. This paper explores the preferences of chatbots as a companion in intergenerational innovation. The Q methodology was used to investigate different types of collaborators and determine how different choices occur between collaborators that merge the problem and solution domains of chatbots’ design within intergenerational settings. The study’s findings reveal that various chatbot design priorities are more diverse among younger adults than senior adults. Additionally, our research further outlines the principles of chatbot design and how chatbots will support both generations. This research is the first step towards cultivating a deeper understanding of different age groups’ subjective design preferences for chatbots functioning as a companion in the workplace. Moreover, this study demonstrates how the Q methodology can guide technological development by shifting the approach from an age-focused design to a common goal-oriented design within a multigenerational context.
Year:
2022
Year:
2022
Year:
2021
Year:
2021
Year:
2021
Year:
2021
Collaborators (5)
Stephen C. Wingreen
University of Canterbury
Stefan Schneegass
Universität Duisburg-Essen
Bastian Pfleging
Full Professor of Ubiquitous Computing and Smart Systems
TU Bergakademie Freiberg
Jan Pawlowski
University of Jyväskylä
Sabrina C. Eimler
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