Patterns of Sociotechnical Design Preferences of Chatbots for Intergenerational Collaborative Innovation : A Q Methodology Study
Nurhas, I., Jahanbin, P., Pawlowski, J., Wingreen, S., & Geisler, S. (2022). Patterns of Sociotechnical Design Preferences of Chatbots for Intergenerational Collaborative Innovation : A Q Methodology Study. Human behavior and emerging technologies, 2022, Article 8206503. https://doi.org/10.1155/2022/8206503
Julkaistu sarjassa
Human behavior and emerging technologiesPäivämäärä
2022Tekijänoikeudet
© 2022 Irawan Nurhas et al.
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.
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Julkaisija
Hindawi LimitedISSN Hae Julkaisufoorumista
2578-1863Asiasanat
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/150969558
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Irawan Nurhas’s work is supported by the Ministry of Culture and Science of the State of North Rhine-Westphalia and open-access funding enabled and organized by the Institute of Positive Computing at Hochschule Ruhr West University of Applied Sciences.Lisenssi
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