Rat Race Roulette: Helping Humans Make Sense of Probabilistic Journey Time?
Probabilistic journey planners accounting for uncertainty inherent to travel time are becoming more widely available. One common difficulty associated with such sophisticated planners is communicating the risk in the proposed plan to the end users. In this research, the authors have empirically investigated how different representations of journey time distributions affect people's understanding. Specifically, the authors have compared three graphical representations of continuous probability distributions representing journey times: a continuous function graph, a histogram, and a new representation the authors propose, based on the cumulative distribution function. The authors evaluated both reading and comparison understanding and explored whether a short tutorial was useful to increase performance. Based on the authors' findings, recommendations are provided to developers of applications involving the visualization of probabilistic journey times.
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- Deleris, Léa
- Deparis, Stéphane
- 18th International IEEE Conference on Intelligent Transportation Systems (ITSC)
- Location: Canary Islands , Spain
- Date: 2015-9-15 to 2015-9-18
- Publication Date: 2015
- Media Type: Web
- Features: References;
- Pagination: pp 1575-1580
- Monograph Title: 18th International IEEE Conference on Intelligent Transportation Systems (ITSC 2015)
- TRT Terms: Advanced traveler information systems; Comprehension; Distributions (Statistics); Graphics; Histograms; Planning; Travel time; Visualization
- Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Safety and Human Factors;
- Accession Number: 01602937
- Record Type: Publication
- ISBN: 9781467365956
- Files: TRIS
- Created Date: May 2 2016 3:18PM