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Article Dans Une Revue International Journal of Human-Computer Studies Année : 2024

Automatically Adapting System Pace Towards User Pace -Empirical Studies

Andy Cockburn
Alix Goguey
Carl Gutwin
Zhe Chen
  • Fonction : Auteur
Pang Suwanaposee
Stewart Dowding
  • Fonction : Auteur

Résumé

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.
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Dates et versions

hal-04411149 , version 1 (23-01-2024)

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Citer

Andy Cockburn, Alix Goguey, Carl Gutwin, Zhe Chen, Pang Suwanaposee, et al.. Automatically Adapting System Pace Towards User Pace -Empirical Studies. International Journal of Human-Computer Studies, 2024, 185, pp.103228. ⟨10.1016/j.ijhcs.2024.103228⟩. ⟨hal-04411149⟩
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