Should Computers Be Easy To Use? Questioning the Doctrine of Simplicity in User Interface Design
arXiv:2306.01643 · doi:10.1145/3544549.3582741
Abstract
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.
In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA '23)
Cited by in corpus (5)
- The Metacognitive Demands and Opportunities of Generative AI
- Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition
- AI Should Challenge, Not Obey
- "It's like a rubber duck that talks back": Understanding Generative AI-Assisted Data Analysis Workflows through a Participatory Prompting Study
- Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models?