Automatically Adapting System Pace Towards User Pace - Empirical Studies
In International Journal of Human-Computer Studies 185. 2024. to appear.
Andy Cockburn, Alix Goguey, Carl Gutwin, Zhe Chen, Pang Suwanaposee, Stewart Dowding
Abstract
Provides empirical evidence that user preferences for system pace (interface conditions that vary only in the duration of interface timeouts) covary with user pace. • Reveals characteristics of user performance that can be automatically measured by a system as a basis for automatically adapting system pace. • Shows that users converge their rate of interaction towards that of the system. • Empirically demonstrates that fast-paced users prefer an adaptive system pace to a 'one size fits all' static pace.