Abstract
Landslides cause extensive damages to property and life and there is an urgent need to increase community awareness against landslide risks. Interactive simulations help to provide people with experience of landslide disasters and increase community awareness. However, it would be interesting to evaluate the influence of contextual feedback via messages and images in people’s decision- making in these simulations. The main objective of this paper was to evaluate the role of contextual feedback in an interactive landslide simulator (ILS) tool. ILS considers both human and environmental factors to influence landslide risks. Fifty participants randomly participated across two between-subject conditions in the experiment: feedback-rich (messages and images present) and feedback-poor (numeric feedback only; messages and images absent). Participants made repeated monetary decisions against landslides in ILS. Investments were greater in the feedback-rich condition compared to feedback-poor condition. We highlight the implications of our results for awareness against landslide risks.
Keywords
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Acknowledgement
We thank Akshit Arora for developing the website for ILS. We thank students of IIT Mandi who have helped in collection of data in this project.
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Chaturvedi, P., Dutt, V. (2018). Interactive Landslide Simulator: Role of Contextual Feedback in Learning Against Landslide Risks. In: Tiwary, U. (eds) Intelligent Human Computer Interaction. IHCI 2018. Lecture Notes in Computer Science(), vol 11278. Springer, Cham. https://doi.org/10.1007/978-3-030-04021-5_16
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DOI: https://doi.org/10.1007/978-3-030-04021-5_16
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