The Experts below are selected from a list of 14091 Experts worldwide ranked by ideXlab platform
Norihiro Hagita - One of the best experts on this subject based on the ideXlab platform.
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Recommendation Effects of a Social Robot for Advertisement-Use Context in a Shopping Mall
2013Co-Authors: Masahiro Shiomi, Kazuhiko Shinozawa, Yoshifumi Nakagawa, Toshimitsu Terakubo, Takahiro Miyashita, Toshio Sakamoto, Hiroshi Ishiguro, Norihiro HagitaAbstract:We developed a coupon-giving robot system for a Shopping Mall to explore possible applications using social robots in daily environments, particularly for advertising. The system provided information through conversations with people. The robot was semi-autonomous, which means that it was partly controlled by a human operator, to cope with the difficulty of speech recognition in real environments. We conducted two field trials to investigate two kinds of effectiveness related to recommendations: the presence of a robot and different conversation schemas. Although a robot can strongly attract people with its presence and interaction, it remains unknown whether it can increase the effects of advertisements in real environments. Our field trial results show that a sMall robot increased the number of people who printed coupons more than a normal-sized robot. The number of people who printed coupons also increased when the robot asked visitors to freely select from all coupon candidates or to listen to its recommendation.
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a communication robot in a Shopping Mall
2010Co-Authors: Takayuki Kanda, Masahiro Shiomi, Hiroshi Ishiguro, Zenta Miyashita, Norihiro HagitaAbstract:This paper reports our development of a communication robot for use in a Shopping Mall to provide Shopping information, offer route guidance, and build rapport. In the development, the major difficulties included sensing human behaviors, conversation in a noisy daily environment, and the needs of unexpected miscellaneous knowledge in the conversation. We chose a network-robot system approach, where a single robot's poor sensing capability and knowledge are supplemented by ubiquitous sensors and a human operator. The developed robot system detects a person with floor sensors to initiate interaction, identifies individuals with radio-frequency identification (RFID) tags, gives Shopping information while chatting, and provides route guidance with deictic gestures. The robot was partially teleoperated to avoid the difficulty of speech recognition as well as to furnish a new kind of knowledge that only humans can flexibly provide. The information supplied by a human operator was later used to increase the robot's autonomy. For 25 days in a Shopping Mall, we conducted a field trial and gathered 2642 interactions. A total of 235 participants signed up to use RFID tags and, later, provided questionnaire responses. The questionnaire results are promising in terms of the visitors' perceived acceptability as well as the encouragement of their Shopping activities. The results of the teleoperation analysis revealed that the amount of teleoperation gradually decreased, which is also promising.
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how to approach humans strategies for social robots to initiate interaction
2010Co-Authors: Satoru Satake, Dylan F. Glas, Takayuki Kanda, Hiroshi Ishiguro, Michita Imai, Norihiro HagitaAbstract:This paper proposes a model of approach behavior with which a robot can initiate conversation with people who are walking. We developed the model by learning from the failures in a simplistic approach behavior used in a real Shopping Mall. Sometimes people were unaware of the robot's presence, even when it spoke to them. Sometimes, people were not sure whether the robot was really trying to start a conversation, and they did not start talking with it even though they displayed interest. To prevent such failures, our model includes the following functions: predicting the walking behavior of people, choosing a target person, planning its approaching path, and nonverbally indicating its intention to initiate a conversation. The approach model was implemented and used in a real Shopping Mall. The field trial demonstrated that our model significantly improves the robot's performance in initiating conversations.
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an affective guide robot in a Shopping Mall
2009Co-Authors: Takayuki Kanda, Masahiro Shiomi, Hiroshi Ishiguro, Zenta Miyashita, Norihiro HagitaAbstract:To explore possible robot tasks in daily life, we developed a guide robot for a Shopping Mall and conducted a field trial with it. The robot was designed to interact naturally with customers and to affectively provide Shopping information. It was also designed to repeatedly interact with people to build a rapport; since a Shopping Mall is a place people repeatedly visit, it provides the chance to explicitly design a robot for multiple interactions. For this capability, we used RFID tags for person identification. The robot was semi-autonomous, partially controlled by a human operator, to cope with the difficulty of speech recognition in a real environment and to handle unexpected situations.A field trial was conducted at a Shopping Mall for 25 days to observe how the robot performed this task and how people interacted with it. The robot interacted with approximately 100 groups of customers each day. We invited customers to sign up for RFID tags and those who participated answered questionnaires. The results revealed that 63 out of 235 people in fact went Shopping based on the information provided by the robot. The experimental results suggest promising potential for robots working in Shopping Malls.
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Field trial of networked social robots in a Shopping Mall
2009Co-Authors: Masahiro Shiomi, Satoru Satake, Dylan F. Glas, Takayuki Kanda, Hiroshi Ishiguro, Norihiro HagitaAbstract:This paper reports the challenges of developing multiple social robots that operate in a Shopping Mall. We developed a networked robot system that coordinates multiple social robots and sensors to provide efficient service to customers. It directs the tasks of robots based on their positions and people's walking behavior, manages the paths of robots, and coordinates the conversation-performance between two robots. Laser range finders were distributed in the environment to estimate people's positions. The system estimates such human walking behaviors as ¿stopping¿ or ¿idle walking¿ to direct robots to provide appropriate tasks to appropriate people. Each robot interacts with people to provide recommendation information and route information about shops. The system sometimes simultaneously uses two robots to lead people from one place to another. The field trial, which was conducted in a Shopping Mall where four robots interacted with 414 people, revealed the effectiveness of the network robot system for guiding people around a Shopping Mall as well as increasing their interest.
Kim Willems - One of the best experts on this subject based on the ideXlab platform.
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escaping the crowd an experimental study on the impact of a virtual reality experience in a Shopping Mall
2017Co-Authors: Helena Van Kerrebroeck, Malaika Brengman, Kim WillemsAbstract:Abstract Crowding is largely associated with negative consumer outcomes such as Shopping irritation and lower levels of Shopping pleasure, less positive attitudes and less satisfaction toward the crowded store or Mall. While previous research demonstrated the alleviating effect of slow music and greenery on this negative impact of high perceived crowding, this study examines the potential of a relaxing Virtual Reality (VR) experience in a Shopping Mall. As Virtual Reality immerses users in a computer-generated environment, and as such allows them to escape the hectic Mall environment, its use is expected to result in a more positive consumer experience. In a quasi-experimental 2 × 2 between-subjects design, the levels of attitude toward the Mall, approach behaviour, Mall satisfaction, and loyalty intentions were measured as well as perceived crowding. Participants in the experimental condition were exposed to a relaxing Virtual Reality experience in the Mall, whereas participants in the control condition did not get such a treatment. Overall, consumers reported more positive responses on all measured outcome variables after being exposed to the Virtual Reality experience. In addition, the effect on Mall attitudes, satisfaction and loyalty is more pronounced when crowding is perceived to be high.
Masahiro Shiomi - One of the best experts on this subject based on the ideXlab platform.
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Recommendation Effects of a Social Robot for Advertisement-Use Context in a Shopping Mall
2013Co-Authors: Masahiro Shiomi, Kazuhiko Shinozawa, Yoshifumi Nakagawa, Toshimitsu Terakubo, Takahiro Miyashita, Toshio Sakamoto, Hiroshi Ishiguro, Norihiro HagitaAbstract:We developed a coupon-giving robot system for a Shopping Mall to explore possible applications using social robots in daily environments, particularly for advertising. The system provided information through conversations with people. The robot was semi-autonomous, which means that it was partly controlled by a human operator, to cope with the difficulty of speech recognition in real environments. We conducted two field trials to investigate two kinds of effectiveness related to recommendations: the presence of a robot and different conversation schemas. Although a robot can strongly attract people with its presence and interaction, it remains unknown whether it can increase the effects of advertisements in real environments. Our field trial results show that a sMall robot increased the number of people who printed coupons more than a normal-sized robot. The number of people who printed coupons also increased when the robot asked visitors to freely select from all coupon candidates or to listen to its recommendation.
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a communication robot in a Shopping Mall
2010Co-Authors: Takayuki Kanda, Masahiro Shiomi, Hiroshi Ishiguro, Zenta Miyashita, Norihiro HagitaAbstract:This paper reports our development of a communication robot for use in a Shopping Mall to provide Shopping information, offer route guidance, and build rapport. In the development, the major difficulties included sensing human behaviors, conversation in a noisy daily environment, and the needs of unexpected miscellaneous knowledge in the conversation. We chose a network-robot system approach, where a single robot's poor sensing capability and knowledge are supplemented by ubiquitous sensors and a human operator. The developed robot system detects a person with floor sensors to initiate interaction, identifies individuals with radio-frequency identification (RFID) tags, gives Shopping information while chatting, and provides route guidance with deictic gestures. The robot was partially teleoperated to avoid the difficulty of speech recognition as well as to furnish a new kind of knowledge that only humans can flexibly provide. The information supplied by a human operator was later used to increase the robot's autonomy. For 25 days in a Shopping Mall, we conducted a field trial and gathered 2642 interactions. A total of 235 participants signed up to use RFID tags and, later, provided questionnaire responses. The questionnaire results are promising in terms of the visitors' perceived acceptability as well as the encouragement of their Shopping activities. The results of the teleoperation analysis revealed that the amount of teleoperation gradually decreased, which is also promising.
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an affective guide robot in a Shopping Mall
2009Co-Authors: Takayuki Kanda, Masahiro Shiomi, Hiroshi Ishiguro, Zenta Miyashita, Norihiro HagitaAbstract:To explore possible robot tasks in daily life, we developed a guide robot for a Shopping Mall and conducted a field trial with it. The robot was designed to interact naturally with customers and to affectively provide Shopping information. It was also designed to repeatedly interact with people to build a rapport; since a Shopping Mall is a place people repeatedly visit, it provides the chance to explicitly design a robot for multiple interactions. For this capability, we used RFID tags for person identification. The robot was semi-autonomous, partially controlled by a human operator, to cope with the difficulty of speech recognition in a real environment and to handle unexpected situations.A field trial was conducted at a Shopping Mall for 25 days to observe how the robot performed this task and how people interacted with it. The robot interacted with approximately 100 groups of customers each day. We invited customers to sign up for RFID tags and those who participated answered questionnaires. The results revealed that 63 out of 235 people in fact went Shopping based on the information provided by the robot. The experimental results suggest promising potential for robots working in Shopping Malls.
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Field trial of networked social robots in a Shopping Mall
2009Co-Authors: Masahiro Shiomi, Satoru Satake, Dylan F. Glas, Takayuki Kanda, Hiroshi Ishiguro, Norihiro HagitaAbstract:This paper reports the challenges of developing multiple social robots that operate in a Shopping Mall. We developed a networked robot system that coordinates multiple social robots and sensors to provide efficient service to customers. It directs the tasks of robots based on their positions and people's walking behavior, manages the paths of robots, and coordinates the conversation-performance between two robots. Laser range finders were distributed in the environment to estimate people's positions. The system estimates such human walking behaviors as ¿stopping¿ or ¿idle walking¿ to direct robots to provide appropriate tasks to appropriate people. Each robot interacts with people to provide recommendation information and route information about shops. The system sometimes simultaneously uses two robots to lead people from one place to another. The field trial, which was conducted in a Shopping Mall where four robots interacted with 414 people, revealed the effectiveness of the network robot system for guiding people around a Shopping Mall as well as increasing their interest.
Takayuki Kanda - One of the best experts on this subject based on the ideXlab platform.
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a robot that distributes flyers to pedestrians in a Shopping Mall
2018Co-Authors: Chao Shi, Satoru Satake, Takayuki Kanda, Hiroshi IshiguroAbstract:This paper reports our research on developing a robot that distributes flyers to pedestrians. The difficulty is that since the potential receivers are pedestrians who are not necessarily cooperative, the robot needs to appropriately plan its motions, making it easy and non-obstructive for the potential receivers to accept the flyers. We analyzed peoples distributing behavior in a real Shopping Mall and found that successful distributors approach pedestrians from the front and only extend their arms near the target pedestrian. We also found that pedestrians tend to accept flyers if previous pedestrians took them. Based on these analyses, we developed a behavior model of the robots behavior, implemented it in a humanoid robot, and confirmed its effectiveness in a field experiment.
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Robovie as a Mascot: A Qualitative Study for Long-Term Presence of Robots in a Shopping Mall
2016Co-Authors: Alessandra Maria Sabelli, Takayuki KandaAbstract:This paper, which reports a qualitative study on a social robot in a local Shopping Mall in Japan, explores how visitors interacted, understood, and accepted it. In the Shopping Mall where we conducted our study, Robovie, a humanoid robot, has been tested for 3 years. Based on this context of long-term exposure to a social robot, we conducted short-term interviews and observations with the visitors to the Mall. We analyzed the obtained qualitative data by a grounded-theory approach and identified four common trends: (1) association of the robot with its location; (2) assigning of future roles to the robot; (3) perceiving it as a form of entertainment for children, i.e., as a mascot; and (4) perception of autonomy is independent of how the robot works. One might expect people to automatically see the robot as a utility, but instead they tended to consider it a suitable mascot.
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a communication robot in a Shopping Mall
2010Co-Authors: Takayuki Kanda, Masahiro Shiomi, Hiroshi Ishiguro, Zenta Miyashita, Norihiro HagitaAbstract:This paper reports our development of a communication robot for use in a Shopping Mall to provide Shopping information, offer route guidance, and build rapport. In the development, the major difficulties included sensing human behaviors, conversation in a noisy daily environment, and the needs of unexpected miscellaneous knowledge in the conversation. We chose a network-robot system approach, where a single robot's poor sensing capability and knowledge are supplemented by ubiquitous sensors and a human operator. The developed robot system detects a person with floor sensors to initiate interaction, identifies individuals with radio-frequency identification (RFID) tags, gives Shopping information while chatting, and provides route guidance with deictic gestures. The robot was partially teleoperated to avoid the difficulty of speech recognition as well as to furnish a new kind of knowledge that only humans can flexibly provide. The information supplied by a human operator was later used to increase the robot's autonomy. For 25 days in a Shopping Mall, we conducted a field trial and gathered 2642 interactions. A total of 235 participants signed up to use RFID tags and, later, provided questionnaire responses. The questionnaire results are promising in terms of the visitors' perceived acceptability as well as the encouragement of their Shopping activities. The results of the teleoperation analysis revealed that the amount of teleoperation gradually decreased, which is also promising.
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how to approach humans strategies for social robots to initiate interaction
2010Co-Authors: Satoru Satake, Dylan F. Glas, Takayuki Kanda, Hiroshi Ishiguro, Michita Imai, Norihiro HagitaAbstract:This paper proposes a model of approach behavior with which a robot can initiate conversation with people who are walking. We developed the model by learning from the failures in a simplistic approach behavior used in a real Shopping Mall. Sometimes people were unaware of the robot's presence, even when it spoke to them. Sometimes, people were not sure whether the robot was really trying to start a conversation, and they did not start talking with it even though they displayed interest. To prevent such failures, our model includes the following functions: predicting the walking behavior of people, choosing a target person, planning its approaching path, and nonverbally indicating its intention to initiate a conversation. The approach model was implemented and used in a real Shopping Mall. The field trial demonstrated that our model significantly improves the robot's performance in initiating conversations.
-
an affective guide robot in a Shopping Mall
2009Co-Authors: Takayuki Kanda, Masahiro Shiomi, Hiroshi Ishiguro, Zenta Miyashita, Norihiro HagitaAbstract:To explore possible robot tasks in daily life, we developed a guide robot for a Shopping Mall and conducted a field trial with it. The robot was designed to interact naturally with customers and to affectively provide Shopping information. It was also designed to repeatedly interact with people to build a rapport; since a Shopping Mall is a place people repeatedly visit, it provides the chance to explicitly design a robot for multiple interactions. For this capability, we used RFID tags for person identification. The robot was semi-autonomous, partially controlled by a human operator, to cope with the difficulty of speech recognition in a real environment and to handle unexpected situations.A field trial was conducted at a Shopping Mall for 25 days to observe how the robot performed this task and how people interacted with it. The robot interacted with approximately 100 groups of customers each day. We invited customers to sign up for RFID tags and those who participated answered questionnaires. The results revealed that 63 out of 235 people in fact went Shopping based on the information provided by the robot. The experimental results suggest promising potential for robots working in Shopping Malls.
Hiroshi Ishiguro - One of the best experts on this subject based on the ideXlab platform.
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a robot that distributes flyers to pedestrians in a Shopping Mall
2018Co-Authors: Chao Shi, Satoru Satake, Takayuki Kanda, Hiroshi IshiguroAbstract:This paper reports our research on developing a robot that distributes flyers to pedestrians. The difficulty is that since the potential receivers are pedestrians who are not necessarily cooperative, the robot needs to appropriately plan its motions, making it easy and non-obstructive for the potential receivers to accept the flyers. We analyzed peoples distributing behavior in a real Shopping Mall and found that successful distributors approach pedestrians from the front and only extend their arms near the target pedestrian. We also found that pedestrians tend to accept flyers if previous pedestrians took them. Based on these analyses, we developed a behavior model of the robots behavior, implemented it in a humanoid robot, and confirmed its effectiveness in a field experiment.
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Recommendation Effects of a Social Robot for Advertisement-Use Context in a Shopping Mall
2013Co-Authors: Masahiro Shiomi, Kazuhiko Shinozawa, Yoshifumi Nakagawa, Toshimitsu Terakubo, Takahiro Miyashita, Toshio Sakamoto, Hiroshi Ishiguro, Norihiro HagitaAbstract:We developed a coupon-giving robot system for a Shopping Mall to explore possible applications using social robots in daily environments, particularly for advertising. The system provided information through conversations with people. The robot was semi-autonomous, which means that it was partly controlled by a human operator, to cope with the difficulty of speech recognition in real environments. We conducted two field trials to investigate two kinds of effectiveness related to recommendations: the presence of a robot and different conversation schemas. Although a robot can strongly attract people with its presence and interaction, it remains unknown whether it can increase the effects of advertisements in real environments. Our field trial results show that a sMall robot increased the number of people who printed coupons more than a normal-sized robot. The number of people who printed coupons also increased when the robot asked visitors to freely select from all coupon candidates or to listen to its recommendation.
-
a communication robot in a Shopping Mall
2010Co-Authors: Takayuki Kanda, Masahiro Shiomi, Hiroshi Ishiguro, Zenta Miyashita, Norihiro HagitaAbstract:This paper reports our development of a communication robot for use in a Shopping Mall to provide Shopping information, offer route guidance, and build rapport. In the development, the major difficulties included sensing human behaviors, conversation in a noisy daily environment, and the needs of unexpected miscellaneous knowledge in the conversation. We chose a network-robot system approach, where a single robot's poor sensing capability and knowledge are supplemented by ubiquitous sensors and a human operator. The developed robot system detects a person with floor sensors to initiate interaction, identifies individuals with radio-frequency identification (RFID) tags, gives Shopping information while chatting, and provides route guidance with deictic gestures. The robot was partially teleoperated to avoid the difficulty of speech recognition as well as to furnish a new kind of knowledge that only humans can flexibly provide. The information supplied by a human operator was later used to increase the robot's autonomy. For 25 days in a Shopping Mall, we conducted a field trial and gathered 2642 interactions. A total of 235 participants signed up to use RFID tags and, later, provided questionnaire responses. The questionnaire results are promising in terms of the visitors' perceived acceptability as well as the encouragement of their Shopping activities. The results of the teleoperation analysis revealed that the amount of teleoperation gradually decreased, which is also promising.
-
how to approach humans strategies for social robots to initiate interaction
2010Co-Authors: Satoru Satake, Dylan F. Glas, Takayuki Kanda, Hiroshi Ishiguro, Michita Imai, Norihiro HagitaAbstract:This paper proposes a model of approach behavior with which a robot can initiate conversation with people who are walking. We developed the model by learning from the failures in a simplistic approach behavior used in a real Shopping Mall. Sometimes people were unaware of the robot's presence, even when it spoke to them. Sometimes, people were not sure whether the robot was really trying to start a conversation, and they did not start talking with it even though they displayed interest. To prevent such failures, our model includes the following functions: predicting the walking behavior of people, choosing a target person, planning its approaching path, and nonverbally indicating its intention to initiate a conversation. The approach model was implemented and used in a real Shopping Mall. The field trial demonstrated that our model significantly improves the robot's performance in initiating conversations.
-
an affective guide robot in a Shopping Mall
2009Co-Authors: Takayuki Kanda, Masahiro Shiomi, Hiroshi Ishiguro, Zenta Miyashita, Norihiro HagitaAbstract:To explore possible robot tasks in daily life, we developed a guide robot for a Shopping Mall and conducted a field trial with it. The robot was designed to interact naturally with customers and to affectively provide Shopping information. It was also designed to repeatedly interact with people to build a rapport; since a Shopping Mall is a place people repeatedly visit, it provides the chance to explicitly design a robot for multiple interactions. For this capability, we used RFID tags for person identification. The robot was semi-autonomous, partially controlled by a human operator, to cope with the difficulty of speech recognition in a real environment and to handle unexpected situations.A field trial was conducted at a Shopping Mall for 25 days to observe how the robot performed this task and how people interacted with it. The robot interacted with approximately 100 groups of customers each day. We invited customers to sign up for RFID tags and those who participated answered questionnaires. The results revealed that 63 out of 235 people in fact went Shopping based on the information provided by the robot. The experimental results suggest promising potential for robots working in Shopping Malls.
