Measuring Distraction at the Levels of Tactical and Strategic Control: The Limits of Capacity-Based Measures for Revealing Unsafe Visual Sampling Models

Author:

Kujala Tuomo1,Saariluoma Pertti2

Affiliation:

1. Agora Center, University of Jyväskylä, P.O. Box 35, 40014 Jyväskylä, Finland

2. Department of Computer Science and Information Systems, University of Jyväskylä, P.O. Box 35, 40014 Jyväskylä, Finland

Abstract

The control theory of driving suggests that driver distraction can be analyzed as a breakdown of control at three levels. Common approach for analyzing distraction experimentally is to utilize capacity-based measures to assess distraction at the level of operational control. Three driving simulation experiments with 61 participants were organized to evaluate which kind of measures could be used to analyze drivers' tactical visual sampling models and the related effects of distraction while searching textual information on in-car display. The effects of two different text types were evaluated. The utilized capacity-based measures seemed to be insufficient for revealing participants' tactical behaviors or effects of text type. The measures of workload or performance did not indicate reliably the differences found between participants' visual sampling strategies or which text type is better for enabling safer task timing behaviors. Visual sampling measures did indicate effects of text type on participants' tactical abilities. Differences in participants' visual sampling strategies leading to different levels of systematicity in visual behaviors can explain the variances in visual sampling efficiency. Displays encouraging unsystematic glance allocation behaviors were found potentially the most distracting in relation to safe visual sampling of in-vehicle displays.

Publisher

Hindawi Limited

Subject

Human-Computer Interaction

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Text-based information design for in-vehicle displays: A systematic review;Transportation Research Part F: Traffic Psychology and Behaviour;2024-05

2. Mouse Movement Trajectories as an Indicator of Cognitive Workload;International Journal of Human–Computer Interaction;2021-12-12

3. Racer: A Simulated Environment Driving Simulator to Investigate Human Driving Skill;Communications in Computer and Information Science;2017

4. Context-sensitive distraction warnings – Effects on drivers׳ visual behavior and acceptance;International Journal of Human-Computer Studies;2016-06

5. The Effects of Visual and Cognitive Distractions on Operational and Tactical Driving Behaviors;Human Factors: The Journal of the Human Factors and Ergonomics Society;2013-07-08

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