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dc.contributor.authorNurhas, Irawan
dc.contributor.authorJahanbin, Pouyan
dc.contributor.authorPawlowski, Jan
dc.contributor.authorWingreen, Stephen
dc.contributor.authorGeisler, Stefan
dc.date.accessioned2022-08-17T07:14:34Z
dc.date.available2022-08-17T07:14:34Z
dc.date.issued2022
dc.identifier.citationNurhas, 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. <i>Human behavior and emerging technologies</i>, <i>2022</i>, Article 8206503. <a href="https://doi.org/10.1155/2022/8206503" target="_blank">https://doi.org/10.1155/2022/8206503</a>
dc.identifier.otherCONVID_150969558
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/82614
dc.description.abstractChatbot 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.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherHindawi Limited
dc.relation.ispartofseriesHuman behavior and emerging technologies
dc.rightsCC BY 4.0
dc.titlePatterns of Sociotechnical Design Preferences of Chatbots for Intergenerational Collaborative Innovation : A Q Methodology Study
dc.typeresearch article
dc.identifier.urnURN:NBN:fi:jyu-202208174158
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTietojärjestelmätiedefi
dc.contributor.oppiaineInformation Systems Scienceen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn2578-1863
dc.relation.volume2022
dc.type.versionpublishedVersion
dc.rights.copyright© 2022 Irawan Nurhas et al.
dc.rights.accesslevelopenAccessfi
dc.type.publicationarticle
dc.subject.ysoyhteistyö
dc.subject.ysovuorovaikutus
dc.subject.ysosuunnittelu
dc.subject.ysovirtuaalisuus
dc.subject.ysoinnovaatiotoiminta
dc.subject.ysochattibotit
dc.subject.ysoikäryhmät
dc.subject.ysosukupolvet
dc.subject.ysotyöpaikat
dc.subject.ysoviestintätekniikka
dc.subject.ysoQ-menetelmä
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p6334
jyx.subject.urihttp://www.yso.fi/onto/yso/p10591
jyx.subject.urihttp://www.yso.fi/onto/yso/p1377
jyx.subject.urihttp://www.yso.fi/onto/yso/p22164
jyx.subject.urihttp://www.yso.fi/onto/yso/p21039
jyx.subject.urihttp://www.yso.fi/onto/yso/p39028
jyx.subject.urihttp://www.yso.fi/onto/yso/p5593
jyx.subject.urihttp://www.yso.fi/onto/yso/p2209
jyx.subject.urihttp://www.yso.fi/onto/yso/p13463
jyx.subject.urihttp://www.yso.fi/onto/yso/p10872
jyx.subject.urihttp://www.yso.fi/onto/yso/p27736
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1155/2022/8206503
jyx.fundinginformationIrawan 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.
dc.type.okmA1


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