Gender Differences in Temporal Data Analysis
The evidence shows that time-oriented data visualizations may greatly benefit from time spatialization (organization of time along axes) adaptation. Specifically, the choice of time arrangement along axes can significantly influence performance and satisfaction of such visualizations’ users. However, due to gender differences in visuospatial abilities and approaches to solve spatial problems (how males and females navigate through real or imaginary space), males and females may respond differently to time spatialization adaptations. This in turn can generate demand for gender-specific interventions or system solutions. Approaching this important theoretical and practical issue, here, we report the results of the experiment that investigated the problem of gender differences in the productivity of interactions with time-oriented data visualizations. We found no sufficient evidence to confirm the existence of such differences. We yet recommend further research in this area to completely eliminate this possibility.
KeywordsTimeline adaptation Time perception Time spatialization Gender differences
This work has been supported by The French Ministry of Foreign Affairs through the Eiffel Excellence Scholarship.
- 1.Alhola, P., Polo-Kantola, P.: Sleep deprivation: impact on cognitive performance. Neuropsychiatric Dis. Treat. 3(5), 553–567 (2007)Google Scholar
- 9.Halpern, D.F.: Sex Differences in Cognitive Abilities, 4th edn. Psychology Press, New York (2012)Google Scholar
- 12.Kessell, A.M.: Cognitive methods for information visualization: linear and cyclical events. Ph.D. Dissertation (2008). https://www.stanford.edu/dept/psychology/cgi-bin/drupalm/system/files/Kessell_Dissertation.08.pdf
- 14.Komarov, S., Reinecke, K., Gajos, K.Z.: Crowdsourcing performance evaluations of user interfaces. In: Bødker, S., Brewster, S., Baudisch, P., Beaudouin-Lafon, M., Mackay, W.E. (eds.) Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 207–216. ACM, New York (2013)Google Scholar
- 20.Nawrot, I., Doucet, A.: Timeline localization. In: Kurosu, M. (ed.) HCI 2014, Part I. LNCS, vol. 8510, pp. 611–622. Springer, Heidelberg (2014) Google Scholar
- 24.Santiago, J., Román, A., Ouellet, M.: Flexible foundations of abstract thought: a review and a theory. In: Maass, A., Schubert, T. (eds.) Spatial dimensions of social thought, pp. 39–108. De Gruyter, Berlin (2011)Google Scholar
- 25.Sauro, J., Lewis, J.R.: Average task times in usability tests: what to report? In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 2347–2350. ACM, Atlanta (2010)Google Scholar