Gustavo Berumen
Data as a Resource for Designing Digitally Enhanced Consumer Packaged Goods
Berumen, Gustavo; Fischer, Joel; Baumers, Martin
Authors
JOEL FISCHER Joel.Fischer@nottingham.ac.uk
Professor of Human-Computer Interaction
MARTIN BAUMERS MARTIN.BAUMERS@NOTTINGHAM.AC.UK
Associate Professor
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 |
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 |
Files
mti-06-00101
(5.3 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
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