Interaction in 4-second bursts: the fragmented nature of attentional resources in mobile HCI
Abstract
When on the move, cognitive resources are reserved partly for passively monitoring and reacting to contexts and events, and partly for actively constructing them. The Re-source Competition Framework (RCF), building on the Multiple Resources Theory, explains how psychosocial tasks typical of mobile situations compete for cognitive resources and then suggests that this leads to the depletion of resources for task interaction and eventually results in the breakdown of fluent interaction. RCF predictions were tested in a semi-naturalistic field study measuring attention during the performance of assigned Web search tasks on mobile phone while moving through nine varied but typical urban situations. Notably, we discovered up to eight-fold differentials between micro-level measurements of atten-tional resource fragmentation, for example from spans of over 16 seconds in a laboratory condition dropping to bursts of just a few seconds in difficult mobile situations. By cali-brating perceptual sampling, reducing resources from tasks of secondary importance, and resisting the impulse to switch tasks before finalization, participants compensated for the resource depletion. The findings are compared to previous studies in office contexts. The work is valuable in many areas of HCI dealing with mobility.
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Users are increasingly likely to "snack" on apps, visiting them frequently, but in short bursts.
“Users are increasingly likely to “snack” on apps, visiting them frequently, but in short bursts [17,18].”
From Efficacy of a web-based, crowdsourced peer-to-peer cognitive reappraisal platform for depression: Randomized controlled trial (2015) · cites this paper as [17]
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- Authors
- Oulasvirta, A., Tamminen, S., Roto, V., & Kuorelahti, J.
- Affiliations
- Helsinki Institute for Information Technology (FI)
- Helsinki University of Technology, Helsinki, Finland
- Nokia (Finland) (FI)
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2005-04-02
- Pages
- 919-928
- OpenAlex
- W2131800446
- Cited by
- 576
- References
- 46
- Citations by year
- 2026: 10 · 2025: 62 · 2024: 5 · 2023: 9 · 2022: 11 · 2021: 8 · 2020: 53 · 2019: 28 · 2018: 24 · 2017: 23 · 2016: 27 · 2015: 34 · 2014: 32 · 2013: 31 · 2012: 35
- FWCI
- 37.79
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- Funders
- Academy of Finland
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Personal Information Management and User Behavior
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Physical Sciences › Computer Science › Human-Computer Interaction › Interactive and Immersive Displays
- Keywords
- cognitive depletion, attention, task interaction, perceptual sampling, task switching, urban mobility, mobile HCI
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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