A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Theory of Mind for a Humanoid Robot
Autonomous Robots
The Dynamic Window Approach to Collision Avoidance
The Dynamic Window Approach to Collision Avoidance
Effects of adaptive robot dialogue on information exchange and social relations
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Probabilistic Robotics (Intelligent Robotics and Autonomous Agents)
Probabilistic Robotics (Intelligent Robotics and Autonomous Agents)
Providing route directions: design of robot's utterance, gesture, and timing
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
Perspective taking: an organizing principle for learning in human-robot interaction
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
'It's just like you talk to a friend' relational agents for older adults
Interacting with Computers
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
An effective personal mobile robot agent through symbiotic human-robot interaction
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
A communication robot in a shopping mall
IEEE Transactions on Robotics
Modeling environments from a route perspective
Proceedings of the 6th international conference on Human-robot interaction
Enabling effective human-robot interaction using perspective-taking in robots
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Understanding suitable locations for waiting
Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction
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We aim to develop a shopping companion robot that can share experience with users. In this study, we focused on the shared memory acquired when a robot walks together with a user. We developed a computational model of memory recall of visited locations in a shopping mall. The model was developed with data collection from 30 participants. We found that shop size, color intensity of facade, relative visibility, and time elapsed are the influencing features for recall. The model was used in a scenario of a shopping companion robot. The robot, Robovie, autonomously follows a user while inferring the user's memory recall of shops in the visited route. When the user asks the location of other shops, Robovie replied with destination description, referring to the known locations inferred with the model of the user's memory recall. With this scenario, we verified the effectiveness of the developed computational model of memory recall. The evaluation experiment revealed that the model outputs shops that the participants are likely to recall, and makes the directions given easier to understand.