Interacting with in-vehicle systems: understanding, measuring, and evaluating attention

Kenneth Majlund Bach · Mads Gregers Jæger · Mikael B. Skov · Nils Gram Thomassen

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Human-Automation Interaction and Safety Traffic and Road Safety Interactive and Immersive Displays

Abstract

In-vehicle systems research is becoming a significant field as the market for in-vehicle systems continue to grow. As a consequence, researchers are increasingly concerned with opportunities and limitations of HCI in a moving vehicle. Especially aspects of attention constitute a challenge for in-vehicle systems development. This paper seeks to remedy this by defining and exemplifying attention understandings. 100 papers were classified in a two-fold perspective; under what settings are in-vehicle systems evaluated and how is driver attention measured in regard to in-vehicle systems HCI. A breakdown of the distribution of driving settings and measures is presented and the impact of driver attention is discussed. The classification revealed that most of the studies were conducted in driving simulators and real traffic driving, while lateral and longitudinal control and eye behaviour were the most used measures.

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References

2005Detecting Stress During Real-World Driving Tasks Using Physiological Sensors 2001Driven to Distraction: Dual-Task Studies of Simulated Driving and Conversing on a Cellular Telephone 2003Cell phone-induced failures of visual attention during simulated driving.2003Mental workload while driving: Effects on visual search, discrimination, and decision making.2006A Comparison of the Cell Phone Driver and the Drunk Driver 1995The effects of a mobile telephone task on driver behaviour in a car following situation 2000Effects of verbal and spatial-imagery tasks on eye fixations while driving.1993The effect of cellular phone use upon driver attention

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2016Evaluating distraction of in-vehicle information systems while driving by predicting total eyes-off-road times with keystroke level modeling 2013Analysis of facial features of drivers under cognitive and visual distractions

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