Akiko Yamazaki
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Akiko Yamazaki has a total of 14 co-authors. Here are the top co-authors by number of shared publications:
- Hideyuki Nakanishi
Osaka University, Osaka, Japan
2 shared publications - Keiichi Yamazaki
Graduate School of Humanities and Social Science, Saitama University, Japan
2 shared publications - Masaya Iwasaki
University of Osaka, Osaka, Japan
2 shared publications - Yuji Miyazaki
Graduate School of Interdisciplinary Information Studies, The University of Tokyo, Tokyo 113-0033, Japan
2 shared publications - Keiichi Yamazaki
Graduate School of Humanities and Social Sciences, Saitama University, Saitama 338-8570, Japan
1 shared publication - Kosuke Ogawa
Department of Mechanichal Engineering, Osaka University, Japan
1 shared publication
Latest Publications
- Open Access
- 2 July 2024
- Published by MDPI AG in Biomimetics
- Vol. 9 (7) , 404
Perceptive Recommendation Robot: Enhancing Receptivity of Product Suggestions Based on Customers’ Nonverbal Cues
Service robots that coexist with humans in everyday life have become more common, and they have provided customer service in physical shops around the world in recent years. However, their potential in effective sales strategies has not been fully realized due to their low social presence. This study aims to clarify what kind of robot behavior enhances the social presence of service robots and how it affects human–robot interaction and purchasing behavior. We conducted two experiments with a sales robot, Pepper, at a retail shop in Kyoto. In Experiment 1, we showed that the robot’s social presence increased and that customers looked at the robot longer when the robot understood human gaze information and was capable of shared attention. In Experiment 2, we showed that the probability of customers picking up products increased when the robot suggested products based on the humans’ degree of attention from gaze and posture information. These results indicate that the robot’s ability to understand and make utterances about a customer’s orientation and attention effectively enhances human–robot communication and purchasing motivation.
- 2 July 2024
- Published by MDPI AG in Biomimetics
- Vol. 9 (7) , 404
Open AccessPerceptive Recommendation Robot: Enhancing Receptivity of Product Suggestions Based on Customers’ Nonverbal Cues
Service robots that coexist with humans in everyday life have become more common, and they have provided customer service in physical shops around the world in recent years. However, their potential in effective sales strategies has not been fully realized due to their low social presence. This study aims to clarify what kind of robot behavior enhances the social presence of service robots and how it affects human–robot interaction and purchasing behavior. We conducted two experiments with a sales robot, Pepper, at a retail shop in Kyoto. In Experiment 1, we showed that the robot’s social presence increased and that customers looked at the robot longer when the robot understood human gaze information and was capable of shared attention. In Experiment 2, we showed that the probability of customers picking up products increased when the robot suggested products based on the humans’ degree of attention from gaze and posture information. These results indicate that the robot’s ability to understand and make utterances about a customer’s orientation and attention effectively enhances human–robot communication and purchasing motivation.
- Open Access
- 5 December 2022
- Published by Association for Computing Machinery (ACM)
- p. 176-184
Enabling Shared Attention with Customers Strengthens a Sales Robot's Social Presence
Humanlike robots interact with people in daily situations, and various studies concerning such robots have been conducted. However, robots are easily ignored due to their lack of social presence, with their customer service behavior and sales strategies not working well in many situations. In this paper, we aim to improve the social presence of a sales robot by enabling shared attention with visitors. In an actual shop, we investigated whether a robot could improve its social presence by indicating that it could understand the gaze direction of visitors. We found that the robot's statements regarding the direction of the visitor's gaze information and the timing of such statements with the visitor's gaze change improved the robot's social presence, leading to an increase in the number of groups that looked at the robot for a longer period. This paper reveals that enabling shared attention between humans and robots can strengthen a robot's social presence and its ability to work effectively in a real-world environment.
- 5 December 2022
- Published by Association for Computing Machinery (ACM)
- p. 176-184
Open AccessEnabling Shared Attention with Customers Strengthens a Sales Robot's Social Presence
Humanlike robots interact with people in daily situations, and various studies concerning such robots have been conducted. However, robots are easily ignored due to their lack of social presence, with their customer service behavior and sales strategies not working well in many situations. In this paper, we aim to improve the social presence of a sales robot by enabling shared attention with visitors. In an actual shop, we investigated whether a robot could improve its social presence by indicating that it could understand the gaze direction of visitors. We found that the robot's statements regarding the direction of the visitor's gaze information and the timing of such statements with the visitor's gaze change improved the robot's social presence, leading to an increase in the number of groups that looked at the robot for a longer period. This paper reveals that enabling shared attention between humans and robots can strengthen a robot's social presence and its ability to work effectively in a real-world environment.
- Open Access
- 3 March 2014
- Published by Association for Computing Machinery (ACM)
- p. 286-287
Multiple robotic wheelchair system able to move with a companion using map information
- 3 March 2014
- Published by Association for Computing Machinery (ACM)
- p. 286-287
Open AccessMultiple robotic wheelchair system able to move with a companion using map information