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Recovering From Interruptions: Implications for Driver Distraction Research
Abstract
This research adopted a model of goal activation to study the mechanisms underlying interrupted task performance. The effects of interruption timing, type of interruption, and age on task time and primary task resumption time were explored under conditions in which attention was switched back and forth between two tasks, much as when drivers shift attention between attending to the road and to an in-vehicle task. The timing of interruptions had a significant impact on task resumption times, indicating that the most costly time to interrupt task performance is during the middle of a task. However, this effect was overshadowed by age-related performance decrements for older participants. Interruptions that prevented strategic rehearsal of goals resulted in longer resumption times as compared with interruptions that allowed rehearsal. Actual or potential applications of this research include the design of in-vehicle device user interfaces, the timing of in-vehicle messages, and current metrics for assessing driver distraction.
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“Memory-for-goals theory made the prediction that longer interruptions lead to longer resumption processes, which was confirmed by several studies [23,34,35,45].”
From What Makes Interruptions Disruptive?: A Process-Model Account of the Effects of the Problem State Bottleneck on Task Interruption and Resumption (2015) · cites this paper as [34]
In the citing paper
“It was shown in multiple studies that it is better to be interrupted between tasks [25,26,34] than in the middle of a task.”
From What Makes Interruptions Disruptive?: A Process-Model Account of the Effects of the Problem State Bottleneck on Task Interruption and Resumption (2015) · cites this paper as [34]
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Metadata
- Authors
- Monk, C. A., Boehm-Davis, D. A., Mason, G., & Trafton, J. G.
- Affiliations
- University, Fairfax, Virginia
- United States Naval Research Laboratory (US)
- ORCID
- Trafton, J. Gregory
- Venue
- Human Factors: The Journal of the Human Factors and Ergonomics Society
- Publisher
- SAGE Publications
- Published
- 2004-12
- Volume
- 46
- Issue
- 4
- Pages
- 650-663
- ISSN
- 0018-7208 (ISSN-L)
- 1547-8181
- OpenAlex
- W2129415794
- Cited by
- 204
- References
- 47
- Citations by year
- 2026: 6 · 2025: 2 · 2024: 7 · 2023: 4 · 2022: 8 · 2021: 6 · 2020: 8 · 2019: 12 · 2018: 10 · 2017: 15 · 2016: 11 · 2015: 11 · 2014: 12 · 2013: 11 · 2012: 4
- FWCI
- 10.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Human Factors The Journal of the Human Factors and Ergonomics Society (publishedVersion)
- PubMed (publishedVersion)
- Defense Technical Information Center (DTIC) (submittedVersion)
- Funders
- U.S. Naval Research Laboratory
- Topics
- Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
- Social Sciences › Decision Sciences › Information Systems and Management › Personal Information Management and User Behavior
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Keywords
- driver distraction, goal activation, attentional shift, in-vehicle user interfaces
- MeSH terms
- Adolescent, Adult, Attention, Automobile Driving, Computer Simulation, Female, Humans, Male, Mental Processes, Problem Solving, Psychomotor Performance, Reaction Time, Safety, Task Performance and Analysis, User-Computer Interface, Cohort Studies
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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