Pub Date : 2020-08-01DOI: 10.1109/RO-MAN47096.2020.9223613
H. Sumioka, M. Shiomi, Nobuo Yamato, H. Ishiguro
We introduce a minimal design approach to achieve a robot for interactive doll therapy. Our approach aims for positive interactions with older adults with dementia by just expressing the most basic elements of human-like features and relying on the user’s imagination to supplement the missing information. Based on this approach, we developed HIRO, a baby-sized robot with abstract body representation and without face. The recorded voice of a real human infant emitted by robots enhance human-like features of the robot and then facilitate emotional interaction between older people and the robot. A field study showed that HIRO was accepted by older adults with dementia and facilitated positive interaction by stimulating their imagination.
{"title":"Acceptance of a minimal design of a human infant for facilitating affective interaction with older adults: A case study toward interactive doll therapy*","authors":"H. Sumioka, M. Shiomi, Nobuo Yamato, H. Ishiguro","doi":"10.1109/RO-MAN47096.2020.9223613","DOIUrl":"https://doi.org/10.1109/RO-MAN47096.2020.9223613","url":null,"abstract":"We introduce a minimal design approach to achieve a robot for interactive doll therapy. Our approach aims for positive interactions with older adults with dementia by just expressing the most basic elements of human-like features and relying on the user’s imagination to supplement the missing information. Based on this approach, we developed HIRO, a baby-sized robot with abstract body representation and without face. The recorded voice of a real human infant emitted by robots enhance human-like features of the robot and then facilitate emotional interaction between older people and the robot. A field study showed that HIRO was accepted by older adults with dementia and facilitated positive interaction by stimulating their imagination.","PeriodicalId":383722,"journal":{"name":"2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115726765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.1109/RO-MAN47096.2020.9223586
Cristina Forest, Gloria Beraldo, R. Mancin, E. Menegatti, A. Suppiej
The P300 is an endogenous event-related potential (ERP) involved in several cognitive processes, apparently preserved between adults and children. In the pediatric age it shows different age-related characteristics. Its application in Brain Computer Interface (BCI) pediatric research remains to date still unclear. The aim of this paper is to give an overview of the maturational aspects of the visual P300, that could be used for developing BCI paradigms in the pediatric age.
{"title":"Maturational aspects of visual P300 in children: a research window for pediatric Brain Computer Interface (BCI)*","authors":"Cristina Forest, Gloria Beraldo, R. Mancin, E. Menegatti, A. Suppiej","doi":"10.1109/RO-MAN47096.2020.9223586","DOIUrl":"https://doi.org/10.1109/RO-MAN47096.2020.9223586","url":null,"abstract":"The P300 is an endogenous event-related potential (ERP) involved in several cognitive processes, apparently preserved between adults and children. In the pediatric age it shows different age-related characteristics. Its application in Brain Computer Interface (BCI) pediatric research remains to date still unclear. The aim of this paper is to give an overview of the maturational aspects of the visual P300, that could be used for developing BCI paradigms in the pediatric age.","PeriodicalId":383722,"journal":{"name":"2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116863751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Busy agricultural seasons involve long-term continuous work and heavy labor. Particularly during overhead work, such as harvesting, gibberellin treatment, and bagging, workers need to consistently raise upper limb weights of approximately 2 to 4 kg with their own muscular strength, resulting in a high work burden. For long-duration work in the field, a passive and robust assist system is advantageous. Therefore, we propose an assistance device named TasKi that uses self-weight compensation mechanisms and horizontal link mechanisms to reduce the burden on a worker’s upper limbs during overhead work. TasKi can compensate for upper limb weight by using the force of a spring in various postures of the upper limbs without battery support. In this report, we describe the design of the TasKi mechanisms that achieve the upward work assist in actual agriculture with a simple structure. The mechanism of self-weight compensation and the degree of freedom and parameters of the link mechanism are studied.
{"title":"Overhead Work Assist with Passive Gravity Compensation Mechanism and Horizontal Link Mechanism for Agriculture*","authors":"Yasuyuki Yamada, Hirokazu Arakawa, Taro Watanabe, Shunya Fukuyama, Rie Nishihama, Isao Kikutani, Taro Nakamura","doi":"10.1109/RO-MAN47096.2020.9223612","DOIUrl":"https://doi.org/10.1109/RO-MAN47096.2020.9223612","url":null,"abstract":"Busy agricultural seasons involve long-term continuous work and heavy labor. Particularly during overhead work, such as harvesting, gibberellin treatment, and bagging, workers need to consistently raise upper limb weights of approximately 2 to 4 kg with their own muscular strength, resulting in a high work burden. For long-duration work in the field, a passive and robust assist system is advantageous. Therefore, we propose an assistance device named TasKi that uses self-weight compensation mechanisms and horizontal link mechanisms to reduce the burden on a worker’s upper limbs during overhead work. TasKi can compensate for upper limb weight by using the force of a spring in various postures of the upper limbs without battery support. In this report, we describe the design of the TasKi mechanisms that achieve the upward work assist in actual agriculture with a simple structure. The mechanism of self-weight compensation and the degree of freedom and parameters of the link mechanism are studied.","PeriodicalId":383722,"journal":{"name":"2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127500656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.1109/RO-MAN47096.2020.9223544
Jin Xu, A. Howard
Trust is a key element for successful human-robot interaction. One challenging problem in this domain is the issue of how to construct a formulation that optimally models this trust phenomenon. This paper presents a framework for modeling human-robot trust based on representing the human decision-making process as a formulation based on trust states. Using this formulation, we then discuss a generalized model of human-robot trust based on Hidden Markov Models and Logistic Regression. The proposed approach is validated on datasets collected from two different human subject studies in which the human is provided the ability to take advice from a robot. Both experimental scenarios were time-sensitive, in that a decision had to be made by the human in a limited time period, but each scenario featured different levels of cognitive load. The experimental results demonstrate that the proposed formulation can be utilized to model trust, in which the system can predict whether the human will decide to take advice (or not) from the robot. It was found that our prediction performance degrades after the robot made a mistake. The validation of this approach on two scenarios implies that this model can be applied to other interactive scenarios as long as the interaction dynamics fits into the proposed formulation. Directions for future improvements are discussed.
{"title":"Would you Take Advice from a Robot? Developing a Framework for Inferring Human-Robot Trust in Time-Sensitive Scenarios","authors":"Jin Xu, A. Howard","doi":"10.1109/RO-MAN47096.2020.9223544","DOIUrl":"https://doi.org/10.1109/RO-MAN47096.2020.9223544","url":null,"abstract":"Trust is a key element for successful human-robot interaction. One challenging problem in this domain is the issue of how to construct a formulation that optimally models this trust phenomenon. This paper presents a framework for modeling human-robot trust based on representing the human decision-making process as a formulation based on trust states. Using this formulation, we then discuss a generalized model of human-robot trust based on Hidden Markov Models and Logistic Regression. The proposed approach is validated on datasets collected from two different human subject studies in which the human is provided the ability to take advice from a robot. Both experimental scenarios were time-sensitive, in that a decision had to be made by the human in a limited time period, but each scenario featured different levels of cognitive load. The experimental results demonstrate that the proposed formulation can be utilized to model trust, in which the system can predict whether the human will decide to take advice (or not) from the robot. It was found that our prediction performance degrades after the robot made a mistake. The validation of this approach on two scenarios implies that this model can be applied to other interactive scenarios as long as the interaction dynamics fits into the proposed formulation. Directions for future improvements are discussed.","PeriodicalId":383722,"journal":{"name":"2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124971355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.1109/RO-MAN47096.2020.9223513
Hwa-Seob Song, Jaehong Woo, J. Won, B. Yi
Conventional vascular intervention radiology (VIR) procedure presents a few challenges to overcome, which are radiation exposure issue during the procedure under X-ray, physical and mental burdens to the operator in handling catheter and guidewire. We propose a robotic approach to resolve such problems. Specifically, this paper deals with usability test of master devices to control four degrees of freedom (4-DOF) robotic vascular intervention system. The usability of two master devices was measured in terms of task completion time and NASA-TLX index. Both novice and expert group participated in master-slave vascular intervention procedure based on abdominal blood vessel phantom. We found that position to velocity based master device is much effective compared to position to position based master device.
{"title":"Usability Test of Master Devices for Robotic Vascular Intervention Procedure*","authors":"Hwa-Seob Song, Jaehong Woo, J. Won, B. Yi","doi":"10.1109/RO-MAN47096.2020.9223513","DOIUrl":"https://doi.org/10.1109/RO-MAN47096.2020.9223513","url":null,"abstract":"Conventional vascular intervention radiology (VIR) procedure presents a few challenges to overcome, which are radiation exposure issue during the procedure under X-ray, physical and mental burdens to the operator in handling catheter and guidewire. We propose a robotic approach to resolve such problems. Specifically, this paper deals with usability test of master devices to control four degrees of freedom (4-DOF) robotic vascular intervention system. The usability of two master devices was measured in terms of task completion time and NASA-TLX index. Both novice and expert group participated in master-slave vascular intervention procedure based on abdominal blood vessel phantom. We found that position to velocity based master device is much effective compared to position to position based master device.","PeriodicalId":383722,"journal":{"name":"2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123779114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.1109/RO-MAN47096.2020.9223581
Erica Del Vacchio, Cesare Laddaga, Francesco Bifulco
With a focus on the service potential of social robots for the cultural and tourism industry, the purpose of this document is to study how social robots are used as a new tool to involve students in the design of new edutainment applications in museums. We conducted an empirical analysis on multiple case studies. The results confirm that the use of the social robot in museum edutainment programs concern in the involvement of the young public and in the experimentation of new forms of entertainment. Moreover, concrete details are offered complementing the results already proposed by other scholars [18]. From a practical perspective, manager should encourage the implementation of social robot in edutainment museum programs to achieve higher efficiency and better results in terming of involving new age groups.
{"title":"Social robots as a tool to involve student in museum edutainment programs","authors":"Erica Del Vacchio, Cesare Laddaga, Francesco Bifulco","doi":"10.1109/RO-MAN47096.2020.9223581","DOIUrl":"https://doi.org/10.1109/RO-MAN47096.2020.9223581","url":null,"abstract":"With a focus on the service potential of social robots for the cultural and tourism industry, the purpose of this document is to study how social robots are used as a new tool to involve students in the design of new edutainment applications in museums. We conducted an empirical analysis on multiple case studies. The results confirm that the use of the social robot in museum edutainment programs concern in the involvement of the young public and in the experimentation of new forms of entertainment. Moreover, concrete details are offered complementing the results already proposed by other scholars [18]. From a practical perspective, manager should encourage the implementation of social robot in edutainment museum programs to achieve higher efficiency and better results in terming of involving new age groups.","PeriodicalId":383722,"journal":{"name":"2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122993873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.1109/RO-MAN47096.2020.9223475
T. Matsui, S. Yamada
One of the most important problems in science education is teaching about the risks associated with pseudoscience. In this research, we focused on virtual teachers (VTs) that give lessons on pseudoscience. In prior research, the effect of robot teachers in scientific education was demonstrated, and the appearance of VTs was an important factor. Also, it was shown that the effect of logical persuasion and emotional persuasion changed on the basis of the context. Thus, we hypothesize that both the appearance of VTs and their persuasion strategy significantly affects the effect of the lessons through the interaction of the two. To verify this hypothesis, we conducted two-factor and two-levels experiments. One factor was the appearance of the VT: human-like or robot-like. Another was the persuasion strategy: emotional persuasion or logical one. As a result, a significant interaction was shown between the perceived persuasiveness of the VTs and their appearance. When the topic was minus ions' positive effect, the robotlike VT expressing emotional persuasion was perceived as less persuasive than the other VT. However, when the topic was UFOs, the robot-like VT expressing logical persuasion was perceived as less persuasive than the robot-like VT expressing emotional persuasion.
{"title":"Effect of Robot Agents on Teaching Against Pseudoscience","authors":"T. Matsui, S. Yamada","doi":"10.1109/RO-MAN47096.2020.9223475","DOIUrl":"https://doi.org/10.1109/RO-MAN47096.2020.9223475","url":null,"abstract":"One of the most important problems in science education is teaching about the risks associated with pseudoscience. In this research, we focused on virtual teachers (VTs) that give lessons on pseudoscience. In prior research, the effect of robot teachers in scientific education was demonstrated, and the appearance of VTs was an important factor. Also, it was shown that the effect of logical persuasion and emotional persuasion changed on the basis of the context. Thus, we hypothesize that both the appearance of VTs and their persuasion strategy significantly affects the effect of the lessons through the interaction of the two. To verify this hypothesis, we conducted two-factor and two-levels experiments. One factor was the appearance of the VT: human-like or robot-like. Another was the persuasion strategy: emotional persuasion or logical one. As a result, a significant interaction was shown between the perceived persuasiveness of the VTs and their appearance. When the topic was minus ions' positive effect, the robotlike VT expressing emotional persuasion was perceived as less persuasive than the other VT. However, when the topic was UFOs, the robot-like VT expressing logical persuasion was perceived as less persuasive than the robot-like VT expressing emotional persuasion.","PeriodicalId":383722,"journal":{"name":"2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129773118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.1109/RO-MAN47096.2020.9223530
Felix Rutard, Olivier Sigaud, M. Chetouani
Reinforcement learning (RL) algorithms have been demonstrated to be very attractive tools to train agents to achieve sequential tasks. However, these algorithms require too many training data to converge to be efficiently applied to physical robots. By using a human teacher, the learning process can be made faster and more robust, but the overall performance heavily depends on the quality and availability of teacher demonstrations or instructions. In particular, when these teaching signals are inadequate, the agent may fail to learn an optimal policy. In this paper, we introduce a trust-based interactive task learning approach. We propose an RL architecture able to learn both from environment rewards and from various sparse teaching signals provided by non-expert teachers, using an actor-critic agent, a human model and a trust model. We evaluate the performance of this architecture on 4 different setups using a maze environment with different simulated teachers and show that the benefits of the trust model.
{"title":"TIRL: Enriching Actor-Critic RL with non-expert human teachers and a Trust Model","authors":"Felix Rutard, Olivier Sigaud, M. Chetouani","doi":"10.1109/RO-MAN47096.2020.9223530","DOIUrl":"https://doi.org/10.1109/RO-MAN47096.2020.9223530","url":null,"abstract":"Reinforcement learning (RL) algorithms have been demonstrated to be very attractive tools to train agents to achieve sequential tasks. However, these algorithms require too many training data to converge to be efficiently applied to physical robots. By using a human teacher, the learning process can be made faster and more robust, but the overall performance heavily depends on the quality and availability of teacher demonstrations or instructions. In particular, when these teaching signals are inadequate, the agent may fail to learn an optimal policy. In this paper, we introduce a trust-based interactive task learning approach. We propose an RL architecture able to learn both from environment rewards and from various sparse teaching signals provided by non-expert teachers, using an actor-critic agent, a human model and a trust model. We evaluate the performance of this architecture on 4 different setups using a maze environment with different simulated teachers and show that the benefits of the trust model.","PeriodicalId":383722,"journal":{"name":"2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129786519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.1109/RO-MAN47096.2020.9223337
M. Chung, Mino Nakura, Sai Harshita Neti, Anthony Lu, Elana Hummel, M. Cakmak
Concurrency makes robot programming challenging even for professional programmers, yet it is essential for rich, interactive social robot behaviors. Visual programming aims to lower the barrier for robot programming but does not support rich concurrent behavior for meaningful robotics applications. In this paper, we explore extensions to block-based visual languages to enable programming of concurrent behavior with (1) asynchronous procedure calls, which encourage imperative programming, (2) callbacks, which encourage event-driven programming, and (3) promise, which also encourages imperative programming by providing event synchronization utilities. We compare these approaches through a systematic analysis of social robot programs with representative concurrency patterns, as well as a user study (N=23) in which participants authored such programs. Our work identifies characteristic differences between these approaches and demonstrates that the promise-based concurrency interface enables more concise programs with fewer errors.
{"title":"ConCodeIt! A Comparison of Concurrency Interfaces in Block-Based Visual Robot Programming","authors":"M. Chung, Mino Nakura, Sai Harshita Neti, Anthony Lu, Elana Hummel, M. Cakmak","doi":"10.1109/RO-MAN47096.2020.9223337","DOIUrl":"https://doi.org/10.1109/RO-MAN47096.2020.9223337","url":null,"abstract":"Concurrency makes robot programming challenging even for professional programmers, yet it is essential for rich, interactive social robot behaviors. Visual programming aims to lower the barrier for robot programming but does not support rich concurrent behavior for meaningful robotics applications. In this paper, we explore extensions to block-based visual languages to enable programming of concurrent behavior with (1) asynchronous procedure calls, which encourage imperative programming, (2) callbacks, which encourage event-driven programming, and (3) promise, which also encourages imperative programming by providing event synchronization utilities. We compare these approaches through a systematic analysis of social robot programs with representative concurrency patterns, as well as a user study (N=23) in which participants authored such programs. Our work identifies characteristic differences between these approaches and demonstrates that the promise-based concurrency interface enables more concise programs with fewer errors.","PeriodicalId":383722,"journal":{"name":"2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128492334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.1109/RO-MAN47096.2020.9223333
Kana Higashino, Mitsuhiko Kimoto, T. Iio, K. Shimohara, M. Shiomi
Although social touch in physical space has been scrutinized for its positive effects on people, the effects of social touch in virtual space has been neglected. In virtual space, two types of social touch can be designed, a touch with only visual stimuli and a touch with both visual and tactile stimuli. This paper investigates the effects of the two types of agent’s social touch on users in the context where the agent praises their performance of a task in virtual space. Based on past studies of social touch, we hypothesized that the two types of agent’s social touch in virtual space would improve the user’s task motivation, task performance, and the agent’s likability. We experimentally tested our hypotheses by comparing those variables among no-touch, visual-touch, and visual-tactile touch groups. Since our results showed no significant differences among these groups, our hypotheses were not supported. However, a post-hoc analysis by gender suggests that the agent’s social touch with both visual and tactile stimuli while praising male users increased their task motivation in virtual space. This result suggests that the effects of an agent’s social touch in virtual space may be different due to genders, and shows a possibility of positive effects for the touch behavior design of the agent in virtual space.
{"title":"Effects of Social Touch from an Agent in Virtual Space: Comparing Visual Stimuli and Virtual-Tactile Stimuli","authors":"Kana Higashino, Mitsuhiko Kimoto, T. Iio, K. Shimohara, M. Shiomi","doi":"10.1109/RO-MAN47096.2020.9223333","DOIUrl":"https://doi.org/10.1109/RO-MAN47096.2020.9223333","url":null,"abstract":"Although social touch in physical space has been scrutinized for its positive effects on people, the effects of social touch in virtual space has been neglected. In virtual space, two types of social touch can be designed, a touch with only visual stimuli and a touch with both visual and tactile stimuli. This paper investigates the effects of the two types of agent’s social touch on users in the context where the agent praises their performance of a task in virtual space. Based on past studies of social touch, we hypothesized that the two types of agent’s social touch in virtual space would improve the user’s task motivation, task performance, and the agent’s likability. We experimentally tested our hypotheses by comparing those variables among no-touch, visual-touch, and visual-tactile touch groups. Since our results showed no significant differences among these groups, our hypotheses were not supported. However, a post-hoc analysis by gender suggests that the agent’s social touch with both visual and tactile stimuli while praising male users increased their task motivation in virtual space. This result suggests that the effects of an agent’s social touch in virtual space may be different due to genders, and shows a possibility of positive effects for the touch behavior design of the agent in virtual space.","PeriodicalId":383722,"journal":{"name":"2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129183836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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