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Data as a Resource for Designing Digitally Enhanced Consumer Packaged Goods

Berumen, Gustavo; Fischer, Joel; Baumers, Martin

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Authors

Gustavo Berumen

JOEL FISCHER Joel.Fischer@nottingham.ac.uk
Professor of Human-Computer Interaction



Abstract

The incorporation of digital functionalities into consumer packaged goods (CPG) has the potential to improve our lives by supporting us in our daily practises. However, despite the increasing availability of data about their use, research is needed to explore how these data can be harnessed to create such digital enhancements. This paper explores how consumers can utilise data about interactions with CPGs to conceptualise their enhanced versions. We devised a data-inspired ideation approach, using data visualisations and design cards to facilitate the conceptualisation of enhanced CPGs. Analysing the role of data as expressed through participants’ comments and designs, we found that data served as a basis for the creation of unique concepts imbued with greater consideration for the experiences of others and attention to their own interests. Our study shows the value of empowering consumers through data to broaden and inform their contributions towards the creation of smart products.

Citation

Berumen, G., Fischer, J., & Baumers, M. (2022). Data as a Resource for Designing Digitally Enhanced Consumer Packaged Goods. Multimodal Technologies and Interaction, 6(11), Article 101. https://doi.org/10.3390/mti6110101

Journal Article Type Article
Acceptance Date Nov 9, 2022
Online Publication Date Nov 17, 2022
Publication Date Nov 1, 2022
Deposit Date Nov 24, 2022
Publicly Available Date Nov 25, 2022
Journal Multimodal Technologies and Interaction
Electronic ISSN 2414-4088
Publisher MDPI AG
Peer Reviewed Peer Reviewed
Volume 6
Issue 11
Article Number 101
DOI https://doi.org/10.3390/mti6110101
Keywords Computer Networks and Communications, Computer Science Applications, Human-Computer Interaction, Neuroscience (miscellaneous)
Public URL https://nottingham-repository.worktribe.com/output/13754974
Publisher URL https://www.mdpi.com/2414-4088/6/11/101

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