Picture of UK Houses of Parliament

Leading national thinking on politics, government & public policy through Open Access research

Strathprints makes available scholarly Open Access content by researchers in the School of Government & Public Policy, based within the Faculty of Humanities & Social Sciences.

Research here is 1st in Scotland for research intensity and spans a wide range of domains. The Department of Politics demonstrates expertise in understanding parties, elections and public opinion, with additional emphases on political economy, institutions and international relations. This international angle is reflected in the European Policies Research Centre (EPRC) which conducts comparative research on public policy. Meanwhile, the Centre for Energy Policy provides independent expertise on energy, working across multidisciplinary groups to shape policy for a low carbon economy.

Explore the Open Access research of the School of Government & Public Policy. Or explore all of Strathclyde's Open Access research...

Understanding how drivers learn to anticipate risk on the road : a laboratory experiment of affective anticipation of road hazards

Kinnear, Neale and Kelly, Stephen and Stradling, Steve and Thomson, James (2013) Understanding how drivers learn to anticipate risk on the road : a laboratory experiment of affective anticipation of road hazards. Accident Analysis and Prevention, 50. 1025–1033. ISSN 0001-4575

Full text not available in this repository.Request a copy from the Strathclyde author

Abstract

This study examines whether there is evidence that converging theories from the domains of risk and decision making, neuroscience, and psychology can improve our understanding of how drivers learn to appraise on-the-road hazards. Within the domain of decision making it is suggested that there are two distinct ways in which humans appraise risk: risk as feelings and risk as analysis (Slovic et al., 2004). Meanwhile, current neurological theory, in the form of the Somatic Marker Hypothesis (Damasio, 1994), supports the role of feelings and emotion as an evolved automated system of human risk appraisal that biases judgment and decision making. This study used Skin Conductance Responses (SCR) to measure learner, novice and experienced drivers’ psycho-physiological responses to the development of driving hazards. Experienced drivers were twice as likely to produce an SCR to developing hazards as novice drivers and three times as likely when compared with learner drivers. These differences maintained significance when age, gender and exposure were controlled for. Further analysis revealed that novice drivers who had less than 1,000 miles driving experience had anticipatory physiological responses similar to learner drivers, whereas novices who had driven more than 1,000 miles had scores approaching those of experienced drivers. This demonstrated a learning curve mediated by driving experience supporting experiential learning as proposed within the Somatic Marker Hypothesis. A differentiation between cognitive and psycho-physiological responses was also found supporting theory that distinguishes between conscious and non-conscious risk appraisal.