Harmonizing divergent user preferences for cultural enrichment of small group visit.

JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS(2020)

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摘要
People spend their leisure time on cultural and historical stories by visiting exhibitions and museums with family members and friends. This small gathering establishes a voluntary platform to engage in activities and share experiential knowl-edge. Since members of a small group tend to have diverse preferences, both individual and group preferences should be consid-ered for a cohesive and harmonious guide. This paper proposes a mixed-initiative tour path planning system for multiple visitors that builds a group path supported by automatic path generation and users' participation. In the proposed system, individual user profiles are merged into a group profile by favoring multiple users' higher preferences with low deviation. Then the system constructs a tour path based on mixed-initiative interaction that consists of the system's automatic decision and participation of members. When group members have similar preferences, a tour path is automatically decided by the system. If group mem-bers have different and divergent preferences, the system asks group members to intervene and confirm appropriate places to collaboratively construct a tour path. To show feasibility of our proposed system, we evaluate our approach in twofold consists of a synthesized group simulation and a user study. For the simulation, we collected user preferences of 12 real users to simu-late groups of two, three, and four members and explored characteristics of similar and different preference scenarios. For the user study, we conducted a comparative study with 11 participants under 4 different exhibition scenarios using the implemented mixed-initiative path planning system. Evaluation results support that our system constructs a cohesive, satisfying and usable path for a small group tour.
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关键词
Collaborative tools,human computer interaction,path planning,recommender systems,cultural enrichment
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