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A Qualitative Study of User Participation and Challenges in a Social Shopping Context
New Jersey Institute of Technology Newark, New Jersey, USA.
Jönköping University, School of Engineering, JTH, Computer Science and Informatics.ORCID iD: 0000-0003-4344-9986
New Jersey Institute of Technology Newark, New Jersey, USA.
2020 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Social shopping enables people to share and discuss about shopping in collaborative shopping environments. While much work has focused on using social data to promote shopping, fewer works have examined the way people socialize in the context of shopping as a personalized collaborative activity. In this paper, we propose to use qualitative methods to gain insight into people’s perceptions, concerns, and challenges in social shopping-related activities. Based on the findings, our work may contribute to the design of future online shopping sites and social media platforms that improve user engagement and participation in social shopping interactions, as well as facilitating personalized shopping and social experiences in online communities.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2020.
Keywords [en]
Personalization, Interface Design, Social Context, Social Shopping, Social Network
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:hj:diva-47875OAI: oai:DiVA.org:hj-47875DiVA, id: diva2:1395740
Conference
25th International Conference on Intelligent User Interfaces, IUI 2020, Cagliary, Italy, 17 - 20 March 2020
Available from: 2020-02-24 Created: 2020-02-24 Last updated: 2025-02-17

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Ferwerda, Bruce

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