|Sruthi Viswanathan, Bernard Omidvar-Tehrani, Adrien Bruyat, Frédéric Roulland, Antonietta Grasso|
|Computer Human Interaction conference (CHI), Honolulu, Hawaii, USA, 25 April-1 May, 2020|
In this paper we report the results from a Hybrid Wizard of Oz study consisting of a critical incident interview and an in-situ simulation. The study was aimed at validating the need for a contextualised and personalised Point-Of-Interest (POI) recommender and understanding the detailed user needs for it. Our key findings include: feeling bored as a key trigger to search for POIs, trust issues with the existing recommendation sources, intent to find free activities, information needs on areas-of-interest beyond points-of-interest, socialising support, and language barriers. With this study we also exemplify a cost and time effective approach for design of intelligent systems.
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