Experimental Evidence for the Field of Safe Travel

Smith, Kate; Källhammer, Jan-Erik

doi:10.1177/1071181312561473

Proceedings of the Human Factors and Ergonomics Society Annual

2012

DOI: 10.1177/1071181312561473

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Experimental Evidence for the Field of Safe Travel

Kate Smith

Jan-Erik Källhammer

Abstract: Regression analysis of driver ratings of alerts issued by an in-vehicle active safety system during a field operational test identified contextual factors that influence driver acceptance of system alerts. A nominal characterization of pedestrian location and two quantitative measures of pedestrian motion predict more than 60% of the variability in driver ratings and do not interact. This finding is empirical support for the classic notion of the field of safe travel (Gibson & Crooks, 1938).

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Cited by 2 publications

References 8 publications

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A Model of Indian Drivers’ Ratings of In-Vehicle Alerts to Pedestrian Encounters on Roads in India

Smith¹,

Källhammer²,

Sweden³

2019

Proceedings of the Human Factors and Ergonomics Society Annual

Self Cite

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At previous HFES meetings, we have presented the evolution of a quantitative model with two factors - pedestrian location and motion – that predicts how Swedish drivers rate the desirability of receiving alerts to pedestrian encounters recorded by an in-vehicle pedestrian-detection system. In this paper we extend the model to the Indian subcontinent and identify two additional factors – vehicle lane and the lateral distance to the pedestrian - that, when added to the ‘Swedish model’, predict the ratings provided by Indian drivers to pedestrian encounters in India.

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A Model of Indian Drivers’ Ratings of In-Vehicle Alerts to Pedestrian Encounters on Roads in India

Smith¹,

Källhammer²,

Sweden³

2019

Proceedings of the Human Factors and Ergonomics Society Annual

Self Cite

View full text Add to dashboard Cite

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Method-oriented systematic review on the simple scale for acceptance measurement in advanced transport telematics

et al. 2021

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Acceptance intuitively is a precondition for the adaptation and use of technology. In this systematic review, we examine academic literature on the “simple scale for acceptance measurement” provided by Van der Laan, Heino, and de Waard (1997). This measure is increasingly applied in research on mobility systems without having been thoroughly analysed. This article aims to provide such a critical analysis. We identified 437 unique references in three aggregated databases and included 128 articles (N = 6,058 participants) that empirically applied the scale in this review. The typical study focused on a mobility system using a within-subjects design in a driving simulator in Europe. Based on quality indicators of transparent study aim, group allocation procedure, variable definitions, sample characteristics, (statistical) control of confounders, reproducibility, and reporting of incomplete data and test performance, many of the 128 articles exhibited room for improvements (44% below.50; range 0 to 1). Twenty-eight studies (22%) reported reliability coefficients providing evidence that the scale and its sub-scales produce reliable results (median Cronbach’s α >.83). Missing data from the majority of studies limits this conclusion. Only 2 out of 10 factor analyses replicated the proposed two-dimensional structure questioning the use of these sub-scales. Correlation results provide evidence for convergent validity of acceptance, usefulness, and satisfying with limited confidence, since only 14 studies with a median sample size of N = 40 reported correlation coefficients. With these results, the scale might be a valuable addition for technology attitude research. Firstly, we recommend thorough testing for a better understanding of acceptance, usefulness, and satisfying. Secondly, we suggest to report scale results more transparently and rigorously to enable meta-analyses in the future. The study protocol is available at the Open Science Framework (https://osf.io/j782c/).

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Experimental Evidence for the Field of Safe Travel

Cited by 2 publications

References 8 publications

A Model of Indian Drivers’ Ratings of In-Vehicle Alerts to Pedestrian Encounters on Roads in India

A Model of Indian Drivers’ Ratings of In-Vehicle Alerts to Pedestrian Encounters on Roads in India

Method-oriented systematic review on the simple scale for acceptance measurement in advanced transport telematics

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