305 research outputs found
sj-docx-1-pec-10.1177_03010066231178149 - Supplemental material for Responses to Raven matrices: Governed by visual complexity and centrality
No full textSupplemental material, sj-docx-1-pec-10.1177_03010066231178149 for Responses to Raven matrices: Governed by visual complexity and centrality by Joost C. F. de Winter, Dimitra Dodou, and Yke Bauke Eisma in Perception</p
sj-docx-1-pec-10.1177_03010066221122697 - Supplemental material for How do people distribute their attention while observing <i>The Night Watch</i>?
No full textSupplemental material, sj-docx-1-pec-10.1177_03010066221122697 for How do people distribute their attention while observing The Night Watch? by Joost C. F. de Winter, Dimitra Dodou, and Wilbert Tabone in Perception</p
Supplementary materials for the article: Five-Point Likert Items: t test versus Mann-Whitney-Wilcoxon
No full textSupplementary materials for the article: De Winter, J. C.F., & Dodou, D. (2010). Five-point Likert items: t test versus Mann-Whitney-Wilcoxon. Practical Assessment, Research & Evaluation, 15, 1-12
Supplementary materials for the article: Factor recovery by principal axis factoring and maximum likelihood factor analysis as a function of factor pattern and sample size.
No full textSupplementary materials for the article: De Winter, J. C. F., & Dodou, D. (2012). Factor recovery by principal axis factoring and maximum likelihood factor analysis as a function of factor pattern and sample size. Journal of Applied Statistics, 39, 695-710. https://doi.org/10.1080/02664763.2011.61044
Supplementary data for the article: Survey on eHMI concepts: The effect of text, color, and perspective
No full textSupplementary data for the paper: Bazilinskyy, P., Dodou, D., & De Winter, J. C. F. (2019). Survey on eHMI concepts: The effect of text, color, and perspective. Transportation Research Part F
Commentaries and Responses to "The Driver Behaviour Questionnaire as a predictor of accidents: A meta-analysis" [Commentaries lead by Anders af Wahlberg; Responses lead by J.C.F. de Winter]
No full textThe following discussion is in response to a 2010 article published in the Journal of Safety Research by J.C.F. de Winter and D. Dodou entitled “The Driver Behaviour Questionnaire as a predictor of accidents: A meta-analysis” (Volume 41, Number 6, pp. 463-470, available on sciencedirect.com). The editors are pleased to provide a forum for this exchange and welcome further comments
Supplementary data for the paper 'External Human-Machine Interfaces: Which of 729 Colors Is Best for Signaling ‘Please (Do not) Cross’?'
No full textSupplementary data for the paper Bazilinskyy, P., Dodou, D., & De Winter, J. C. F. (2020). External Human-Machine Interfaces: Which of 729 colors is best for signaling ‘Please (do not) cross’? IEEE International Conference on Systems, Man and Cybernetics (SMC). Toronto, ON, Canada.</div
Supplementary data for the article: Survey on eHMI concepts: The effect of text, color, and perspective
No full textSupplementary data for the paper: Bazilinskyy, P., Dodou, D., & De Winter, J. C. F. (2019). Survey on eHMI concepts: The effect of text, color, and perspective. Transportation Research Part F
Supplementary data for the paper: Risk perception - A study using dashcam videos and participants from different world regions.
No full textSupplementary material for the paper: Bazilinskyy, P., Eisma. Y. B., Dodou, D., & De Winter, J. C. F. (in press). Risk perception: A study using dashcam videos and participants from different world regions. Traffic Injury Prevention
Supplementary data for the paper: External human-machine interfaces for automated cars: What is the right color for signaling ‘Please cross the road?
No full textSupplementary data for the paper Bazilinskyy, P., Dodou, D., & De Winter, J. C. F. (2020). External human-machine interfaces for automated cars: What is the right color for signaling ‘Please cross the road?’</div
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