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Fundemental User Needs (FUN) Scales

Authors: Huang, Siyuan;

Fundemental User Needs (FUN) Scales

Abstract

The Fundamental User Needs (FUN) Scales is a newly introduced instrument tailored to assess how design-mediated interactions influence users' need satisfaction and frustration. The FUN Scales offer significant value to HCI and design research and practice, including the following benefits: Provides a shared and consistent language for discussing user needs, enabling standardized evaluations and comparisons across different projects and studies. Facilitates collaboration between HCI experts, designers, engineers, and other stakeholders by offering a common framework for understanding user needs. Bridges the gap between theoretical research on basic psychological needs and practical HCI and design applications, ensuring design decisions are evidence-based. Supports the development of need-oriented design principles, grounded in empirical research, that prioritize fundamental user needs in design-mediated interactions. Empowers informed design decisions, guiding the design of features and functionalities that focus on fulfilling fundamental users' needs.

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Keywords

Human-Computer Interaction, Need Measurement, Human-Centered Design, User-Centered Design

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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