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Cited by 1,083

The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.

The Interplay of Beauty, Goodness, and Usability in Interactive Products

Hassenzahl, Marc·2004·Human-Computer Interaction

Abstract

Two studies considered the interplay between user-perceived usability (i.e., pragmatic attributes), hedonic attributes (e.g., stimulation, identification), goodness (i.e., satisfaction), and beauty of 4 different MP3-player skins. As long as beauty and goodness stress the subjective valuation of a product, both were related to each other. However, the nature of goodness and beauty was found to differ. Goodness depended on both perceived usability and hedonic attributes. Especially after using the skins, perceived usability became a strong determinant of goodness. In contrast, beauty largely depended on identification; a hedonic attribute group, which captures the product's ability to communicate important personal values to relevant others. Perceived usability as well as goodness was affected by experience (i.e., actual usability, usability problems), whereas hedonic attributes and beauty remained stable over time. All in all, the nature of beauty is rather self-oriented than goal-oriented, whereas goodness relates to both.

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Metadata

Authors
Hassenzahl, M.
Venue
Human-Computer Interaction
Published
2004-12-01
Volume
19
Issue
4
Pages
319-349
ISSN
0737-0024 (ISSN-L)
OpenAlex
W2158390034
Cited by
1,083
References
41
FWCI
26.45
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Interplay of Beauty, Goodness, and Usability in Interactive Products. https://app.cochat.ai/papers/10.1207/s15327051hci1904_2
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Hassenzahl, M. (2004). The Interplay of Beauty, Goodness, and Usability in Interactive Products. Human-Computer Interaction. https://doi.org/10.1207/s15327051hci1904_2

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.