ABSTRACT
In this paper, we report the results from a Hybrid Wizard of Oz experiment consisting of a critical incident interview and an in-situ simulation. The study 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, support for socialising, and language barriers. With this study, we also exemplify a cost- and time-effective approach for design of intelligent systems.
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Index Terms
- Hybrid Wizard of Oz: Concept Testing a Recommender System
Recommendations
Designing Ambient Wanderer: Mobile Recommendations for Urban Exploration
DIS '20: Proceedings of the 2020 ACM Designing Interactive Systems ConferenceRecommender systems are widely integrated into our everyday activities. These intelligent systems succeed in learning the user's profile to recommend movies, music, news and more. However, for designing context-aware recommendations, new challenges ...
Prototyping an intelligent agent through Wizard of Oz
CHI '93: Proceedings of the INTERACT '93 and CHI '93 Conference on Human Factors in Computing SystemsTurvy is a simulated prototype of an instructible agent. The user teaches it by demonstrating actions and pointing at or talking about relevant data. We formalized our assumptions about what could be implemented, then used the Wizard of Oz to flesh out ...
Wizard of Oz experiments and companion dialogues
BCS '10: Proceedings of the 24th BCS Interaction Specialist Group ConferenceNovel speech systems such as the conversational agents being developed by the Companions Project (www.companions-project.org) can be simulated using the Wizard of Oz methodology. In this approach technologies that are not yet ready for testing by people ...
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