In order to realize Smart Tourism that provides real-time and personalized information support to travelers, spatiotemporal tourism information, such as the current situation of sightseeing spots and tourists' behaviors is essential. Participatory sensing has been theoretically raised as a useful method to collect this information, but its feasibility has not been clarified.
In this dissertation, we designed and evaluated a gamified participatory sensing system that considers tourists' satisfaction in order to realize sustainable spatiotemporal tourism information collection from the following two aspects. (1) task and incentive design considering the burden of tourists, and (2) appropriate task allocation interface, interaction design and personalization. As a result, we found that different task designs and interfaces have different effects on data collection efficiency and tourism satisfaction, and that customization according to each participant's personality can achieve more satisfactory and efficient data collection.