Should Computers Be Easy To Use? Questioning the Doctrine of Simplicity in User Interface Design
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Abstract (arXiv)
That computers should be easy to learn and use is a rarely-questioned tenet of user interface design. But what do we gain from prioritising usability and learnability, and what do we lose? I explore how simplicity is not an inevitable truth of user interface design, but rather contingent on a series of events in the evolution of software. Not only does a rigid adherence to this doctrine place an artificial ceiling on the power and flexibility of software, but it is also culturally relative, privileging certain information cultures over others. I propose that for feature-rich software, negotiated complexity is a better target than simplicity, and we must revisit the ill-regarded relationship between learning, documentation, and software.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 2 Jun 2023.
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Citing papers per year: 2023: 1; 2024: 1; 2025: 0; 2026: 1.
3 papers.
- 2024Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decompositioncited by 29
- 2023Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models?cited by 3
- 2026"If You're Very Clever, No One Knows You've Used It": The Social Dynamics of Developing Generative AI Literacy in the Workplacecited by 2
- 2026"If You're Very Clever, No One Knows You've Used It": The Social Dynamics of Developing Generative AI Literacy in the Workplace1 Feb 2026
- 2024Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition2 Jul 2024
- 2023Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models?1 Nov 2023