[4M2-OS-14b] OS-14

[4M2-OS-14b-04] Interactive-SmartClerk: A Recommender Robot System Sharing Preferences with Customer

〇Hikaru Matsuzaki¹, Tomoyuki Maekawa², Kentaro Ishii³, Michita Imai¹ (1. Keio University, 2. Shizuoka University, 3. Senshu University)

Keywords:Recommendation, Robot

We propose Interactive-SmartClerk, a robot system for recommending items to a first-time customer by mimicking a store clerk. Interactive-SmartClerk solves the cold-start problem by asking the customer's preferences for a few items. Even if the number of samples of the customer's preferences is small, Interactive-SmartClerk can make recommendations that match the customer's preferences. Even if the customer's preferences are very different from the general preferences, recommendations can be made that are different from the current trends by capturing the individuality of the customer's preferences. In the current study, we designed Interactive-SmartClerk to recommend three dresses from a dataset of 100 dress images. We collected 647 people's preferences for the dress images through cloud sourcing. We evaluated the performance of Interactive-SmartClerk and found that it performed better than the baseline system that always recommends commonly preferred dresses. We also found that Interactive-SmartClerk adapted to the preferences of minority people who preferred dresses that were not widely preferred. We carried out a case study using a real robot, and Interactive-SmartClerk recommended appropriate dresses for people with various preferences.