Abstract Affect recognition, or the ability to detect and interpret emotional states, has the potential to be a valuable tool in the field of healthcare. In particular, it can be useful in gamified therapy, which involves using gaming techniques to motivate and keep the engagement of patients in therapeutic activities. This study aims to examine the accuracy of machine learning models using thermal imaging and action unit data for affect classification in a gamified robot therapy scenario. A self-report survey and three machine learning models were used to assess emotions including frustration, boredom, and enjoyment in participants during different phases of the game. The results showed that the multimodal approach with the combination of thermal imaging and action units with LSTM model had the highest accuracy of 77% for emotion classification over a 7-s sliding window, while thermal imaging had the lowest standard deviation among participants. The results suggest that thermal imaging and action units can be effective in detecting affective states and might have the potential to be used in healthcare applications, such as gamified therapy, as a promising non-intrusive method for recognizing internal states.
{"title":"Multi-modal Affect Detection Using Thermal and Optical Imaging in a Gamified Robotic Exercise","authors":"Youssef Mohamed, Arzu Güneysu, Séverin Lemaignan, Iolanda Leite","doi":"10.1007/s12369-023-01066-1","DOIUrl":"https://doi.org/10.1007/s12369-023-01066-1","url":null,"abstract":"Abstract Affect recognition, or the ability to detect and interpret emotional states, has the potential to be a valuable tool in the field of healthcare. In particular, it can be useful in gamified therapy, which involves using gaming techniques to motivate and keep the engagement of patients in therapeutic activities. This study aims to examine the accuracy of machine learning models using thermal imaging and action unit data for affect classification in a gamified robot therapy scenario. A self-report survey and three machine learning models were used to assess emotions including frustration, boredom, and enjoyment in participants during different phases of the game. The results showed that the multimodal approach with the combination of thermal imaging and action units with LSTM model had the highest accuracy of 77% for emotion classification over a 7-s sliding window, while thermal imaging had the lowest standard deviation among participants. The results suggest that thermal imaging and action units can be effective in detecting affective states and might have the potential to be used in healthcare applications, such as gamified therapy, as a promising non-intrusive method for recognizing internal states.","PeriodicalId":14361,"journal":{"name":"International Journal of Social Robotics","volume":"204 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135870395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-30DOI: 10.1007/s12369-023-01067-0
Marc Dalmasso, J. E. Domínguez-Vidal, Iván J. Torres-Rodríguez, Pablo Jiménez, Anaís Garrell, Alberto Sanfeliu
Abstract Recent research in Human Robot Collaboration (HRC) has spread and specialised in many sub-fields. Many show considerable advances, but the human–robot collaborative navigation (HRCN) field seems to be stuck focusing on implicit collaboration settings, on hypothetical or simulated task allocation problems, on shared autonomy or on having the human as a manager. This work takes a step forward by presenting an end-to-end system capable of handling real-world human–robot collaborative navigation tasks. This system makes use of the Social Reward Sources model (SRS), a knowledge representation to simultaneously tackle task allocation and path planning, proposes a multi-agent Monte Carlo Tree Search (MCTS) planner for human–robot teams, presents the collaborative search as a testbed for HRCN and studies the usage of smartphones for communication in this setting. The detailed experiments prove the viability of the approach, explore collaboration roles adopted by the human–robot team and test the acceptability and utility of different communication interface designs.
{"title":"Shared Task Representation for Human–Robot Collaborative Navigation: The Collaborative Search Case","authors":"Marc Dalmasso, J. E. Domínguez-Vidal, Iván J. Torres-Rodríguez, Pablo Jiménez, Anaís Garrell, Alberto Sanfeliu","doi":"10.1007/s12369-023-01067-0","DOIUrl":"https://doi.org/10.1007/s12369-023-01067-0","url":null,"abstract":"Abstract Recent research in Human Robot Collaboration (HRC) has spread and specialised in many sub-fields. Many show considerable advances, but the human–robot collaborative navigation (HRCN) field seems to be stuck focusing on implicit collaboration settings, on hypothetical or simulated task allocation problems, on shared autonomy or on having the human as a manager. This work takes a step forward by presenting an end-to-end system capable of handling real-world human–robot collaborative navigation tasks. This system makes use of the Social Reward Sources model (SRS), a knowledge representation to simultaneously tackle task allocation and path planning, proposes a multi-agent Monte Carlo Tree Search (MCTS) planner for human–robot teams, presents the collaborative search as a testbed for HRCN and studies the usage of smartphones for communication in this setting. The detailed experiments prove the viability of the approach, explore collaboration roles adopted by the human–robot team and test the acceptability and utility of different communication interface designs.","PeriodicalId":14361,"journal":{"name":"International Journal of Social Robotics","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136104314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-20DOI: 10.1007/s12369-023-01042-9
Stefan Larsson, Mia Liinason, Laetitia Tanqueray, Ginevra Castellano
Abstract While recent progress has been made in several fields of data-intense AI-research, many applications have been shown to be prone to unintendedly reproduce social biases, sexism and stereotyping, including but not exclusive to gender. As more of these design-based, algorithmic or machine learning methodologies, here called adaptive technologies , become embedded in robotics, we see a need for a developed understanding of what role social norms play in social robotics, particularly with regards to fairness. To this end, we (i) we propose a framework for a socio-legal robotics , primarily drawn from Sociology of Law and Gender Studies. This is then (ii) related to already established notions of acceptability and personalisation in social robotics, here with a particular focus on (iii) the interplay between adaptive technologies and social norms. In theorising this interplay for social robotics, we look not only to current statuses of social robots, but draw from identified AI-methods that can be seen to influence robotics in the near future. This theoretical framework, we argue, can help us point to concerns of relevance for questions of fairness in human–robot interaction.
{"title":"Towards a Socio-Legal Robotics: A Theoretical Framework on Norms and Adaptive Technologies","authors":"Stefan Larsson, Mia Liinason, Laetitia Tanqueray, Ginevra Castellano","doi":"10.1007/s12369-023-01042-9","DOIUrl":"https://doi.org/10.1007/s12369-023-01042-9","url":null,"abstract":"Abstract While recent progress has been made in several fields of data-intense AI-research, many applications have been shown to be prone to unintendedly reproduce social biases, sexism and stereotyping, including but not exclusive to gender. As more of these design-based, algorithmic or machine learning methodologies, here called adaptive technologies , become embedded in robotics, we see a need for a developed understanding of what role social norms play in social robotics, particularly with regards to fairness. To this end, we (i) we propose a framework for a socio-legal robotics , primarily drawn from Sociology of Law and Gender Studies. This is then (ii) related to already established notions of acceptability and personalisation in social robotics, here with a particular focus on (iii) the interplay between adaptive technologies and social norms. In theorising this interplay for social robotics, we look not only to current statuses of social robots, but draw from identified AI-methods that can be seen to influence robotics in the near future. This theoretical framework, we argue, can help us point to concerns of relevance for questions of fairness in human–robot interaction.","PeriodicalId":14361,"journal":{"name":"International Journal of Social Robotics","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135570118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-13DOI: 10.1007/s12369-023-01049-2
Marianna Capasso
Abstract Social robotic platforms are increasingly entering into human social practices, but to date the question of control and direction of innovation processes surrounding social robotics is still highly debated. In this paper I seek to make a two-fold contribution. Firstly, I critically discuss the “Collingridge Dilemma”, also known as the “dilemma of control” in Science and Technologies Studies, and contemporary efforts to address such a dilemma. I demonstrate how such efforts have neglected some wider implications of the dilemma, whose relevance is instead crucial for addressing ethical implications in social robotics. Secondly, to help improve the understanding of control in social robotics, I investigate two guiding principles that have been identified in responsible innovation literature, e.g., inclusion and responsiveness, and I identify potential methods and paradigms to put them into practice. The general aim of this paper is thus to bridge the gap between the theoretical assumptions of responsible innovation and its realisation in practice, as well as to explicitly integrate social robotics with an ethical dimension that can improve the inclusiveness, transdisciplinarity, and social sustainability of this emerging field.
{"title":"Responsible Social Robotics and the Dilemma of Control","authors":"Marianna Capasso","doi":"10.1007/s12369-023-01049-2","DOIUrl":"https://doi.org/10.1007/s12369-023-01049-2","url":null,"abstract":"Abstract Social robotic platforms are increasingly entering into human social practices, but to date the question of control and direction of innovation processes surrounding social robotics is still highly debated. In this paper I seek to make a two-fold contribution. Firstly, I critically discuss the “Collingridge Dilemma”, also known as the “dilemma of control” in Science and Technologies Studies, and contemporary efforts to address such a dilemma. I demonstrate how such efforts have neglected some wider implications of the dilemma, whose relevance is instead crucial for addressing ethical implications in social robotics. Secondly, to help improve the understanding of control in social robotics, I investigate two guiding principles that have been identified in responsible innovation literature, e.g., inclusion and responsiveness, and I identify potential methods and paradigms to put them into practice. The general aim of this paper is thus to bridge the gap between the theoretical assumptions of responsible innovation and its realisation in practice, as well as to explicitly integrate social robotics with an ethical dimension that can improve the inclusiveness, transdisciplinarity, and social sustainability of this emerging field.","PeriodicalId":14361,"journal":{"name":"International Journal of Social Robotics","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135858476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-12DOI: 10.1007/s12369-023-01054-5
Nicole L. Robinson, Jennifer Connolly, Gavin Suddrey, David J. Kavanagh
Abstract Mental health and psychological distress are rising in adults, showing the importance of wellbeing promotion, support, and technique practice that is effective and accessible. Interactive social robots have been tested to deliver health programs but have not been explored to deliver wellbeing technique training in detail. A pilot randomised controlled trial was conducted to explore the feasibility of an autonomous humanoid social robot to deliver a brief mindful breathing technique to promote information around wellbeing. It contained two conditions: brief technique training (‘Technique’) and control designed to represent a simple wait-list activity to represent a relationship-building discussion (‘Simple Rapport’). This trial also explored willingness to discuss health-related topics with a robot. Recruitment uptake rate through convenience sampling was high (53%). A total of 230 participants took part (mean age = 29 years) with 71% being higher education students. There were moderate ratings of technique enjoyment, perceived usefulness, and likelihood to repeat the technique again. Interaction effects were found across measures with scores varying across gender and distress levels. Males with high distress and females with low distress who received the simple rapport activity reported greater comfort to discuss non-health topics than males with low distress and females with high distress. This trial marks a notable step towards the design and deployment of an autonomous wellbeing intervention to investigate the impact of a brief robot-delivered mindfulness training program for a sub-clinical population.
{"title":"A Brief Wellbeing Training Session Delivered by a Humanoid Social Robot: A Pilot Randomized Controlled Trial","authors":"Nicole L. Robinson, Jennifer Connolly, Gavin Suddrey, David J. Kavanagh","doi":"10.1007/s12369-023-01054-5","DOIUrl":"https://doi.org/10.1007/s12369-023-01054-5","url":null,"abstract":"Abstract Mental health and psychological distress are rising in adults, showing the importance of wellbeing promotion, support, and technique practice that is effective and accessible. Interactive social robots have been tested to deliver health programs but have not been explored to deliver wellbeing technique training in detail. A pilot randomised controlled trial was conducted to explore the feasibility of an autonomous humanoid social robot to deliver a brief mindful breathing technique to promote information around wellbeing. It contained two conditions: brief technique training (‘Technique’) and control designed to represent a simple wait-list activity to represent a relationship-building discussion (‘Simple Rapport’). This trial also explored willingness to discuss health-related topics with a robot. Recruitment uptake rate through convenience sampling was high (53%). A total of 230 participants took part (mean age = 29 years) with 71% being higher education students. There were moderate ratings of technique enjoyment, perceived usefulness, and likelihood to repeat the technique again. Interaction effects were found across measures with scores varying across gender and distress levels. Males with high distress and females with low distress who received the simple rapport activity reported greater comfort to discuss non-health topics than males with low distress and females with high distress. This trial marks a notable step towards the design and deployment of an autonomous wellbeing intervention to investigate the impact of a brief robot-delivered mindfulness training program for a sub-clinical population.","PeriodicalId":14361,"journal":{"name":"International Journal of Social Robotics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135968953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Gestures, a form of body language, significantly influence how users perceive humanoid robots. Recent data-driven methods for co-speech gestures have successfully enhanced the naturalness of the generated gestures. Moreover, compared to rule-based systems, these methods are more generalizable for unseen speech input. However, many of these methods cannot directly influence people’s perceptions of robots. The primary challenge lies in the intricacy of constructing a dataset with varied impression labels to develop a conditional generation model. In our prior work ([22]) Controlling the impression of robots via gan-based gesture generation. In:Proceedings of the international conference on intelligent robots and systems. IEEE, pp 9288-9295), we introduced a heuristic approach for automatic labeling, training a deep learning model to control robot impressions. We demonstrated the model’s effectiveness on both a virtual agent and a humanoid robot. In this study, we refined the motion retargeting algorithm for the humanoid robot and conducted a user study using four questions representing different aspects of extroversion. Our results show an improved capability in controlling the perceived degree of extroversion in the humanoid robot compared to previous methods. Furthermore, we discovered that different aspects of extroversion interact uniquely with motion statistics
{"title":"Extrovert or Introvert? GAN-Based Humanoid Upper-Body Gesture Generation for Different Impressions","authors":"Bowen Wu, Chaoran Liu, Carlos Toshinori Ishi, Jiaqi Shi, Hiroshi Ishiguro","doi":"10.1007/s12369-023-01051-8","DOIUrl":"https://doi.org/10.1007/s12369-023-01051-8","url":null,"abstract":"Abstract Gestures, a form of body language, significantly influence how users perceive humanoid robots. Recent data-driven methods for co-speech gestures have successfully enhanced the naturalness of the generated gestures. Moreover, compared to rule-based systems, these methods are more generalizable for unseen speech input. However, many of these methods cannot directly influence people’s perceptions of robots. The primary challenge lies in the intricacy of constructing a dataset with varied impression labels to develop a conditional generation model. In our prior work ([22]) Controlling the impression of robots via gan-based gesture generation. In:Proceedings of the international conference on intelligent robots and systems. IEEE, pp 9288-9295), we introduced a heuristic approach for automatic labeling, training a deep learning model to control robot impressions. We demonstrated the model’s effectiveness on both a virtual agent and a humanoid robot. In this study, we refined the motion retargeting algorithm for the humanoid robot and conducted a user study using four questions representing different aspects of extroversion. Our results show an improved capability in controlling the perceived degree of extroversion in the humanoid robot compared to previous methods. Furthermore, we discovered that different aspects of extroversion interact uniquely with motion statistics","PeriodicalId":14361,"journal":{"name":"International Journal of Social Robotics","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136210690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-05DOI: 10.1007/s12369-023-01050-9
Christian Lenz, Max Schwarz, Andre Rochow, Bastian Pätzold, Raphael Memmesheimer, Michael Schreiber, Sven Behnke
Abstract Robotic avatar systems can enable immersive telepresence with locomotion, manipulation, and communication capabilities. We present such an avatar system, based on the key components of immersive 3D visualization and transparent force-feedback telemanipulation. Our avatar robot features an anthropomorphic upper body with dexterous hands. The remote human operator drives the arms and fingers through an exoskeleton-based operator station, which provides force feedback both at the wrist and for each finger. The robot torso is mounted on a holonomic base, providing omnidirectional locomotion on flat floors, controlled using a 3D rudder device. Finally, the robot features a 6D movable head with stereo cameras, which stream images to a VR display worn by the operator. Movement latency is hidden using spherical rendering. The head also carries a telepresence screen displaying an animated image of the operator’s face, enabling direct interaction with remote persons. Our system won the $10 M ANA Avatar XPRIZE competition, which challenged teams to develop intuitive and immersive avatar systems that could be operated by briefly trained judges. We analyze our successful participation in the semifinals and finals and provide insight into our operator training and lessons learned. In addition, we evaluate our system in a user study that demonstrates its intuitive and easy usability.
{"title":"NimbRo Wins ANA Avatar XPRIZE Immersive Telepresence Competition: Human-Centric Evaluation and Lessons Learned","authors":"Christian Lenz, Max Schwarz, Andre Rochow, Bastian Pätzold, Raphael Memmesheimer, Michael Schreiber, Sven Behnke","doi":"10.1007/s12369-023-01050-9","DOIUrl":"https://doi.org/10.1007/s12369-023-01050-9","url":null,"abstract":"Abstract Robotic avatar systems can enable immersive telepresence with locomotion, manipulation, and communication capabilities. We present such an avatar system, based on the key components of immersive 3D visualization and transparent force-feedback telemanipulation. Our avatar robot features an anthropomorphic upper body with dexterous hands. The remote human operator drives the arms and fingers through an exoskeleton-based operator station, which provides force feedback both at the wrist and for each finger. The robot torso is mounted on a holonomic base, providing omnidirectional locomotion on flat floors, controlled using a 3D rudder device. Finally, the robot features a 6D movable head with stereo cameras, which stream images to a VR display worn by the operator. Movement latency is hidden using spherical rendering. The head also carries a telepresence screen displaying an animated image of the operator’s face, enabling direct interaction with remote persons. Our system won the $10 M ANA Avatar XPRIZE competition, which challenged teams to develop intuitive and immersive avatar systems that could be operated by briefly trained judges. We analyze our successful participation in the semifinals and finals and provide insight into our operator training and lessons learned. In addition, we evaluate our system in a user study that demonstrates its intuitive and easy usability.","PeriodicalId":14361,"journal":{"name":"International Journal of Social Robotics","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135481738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-05DOI: 10.1007/s12369-023-01030-z
Megumi Takada, Junko Ichino, Kaname Hayashi
{"title":"A Study of Objective Evaluation Indicator Based on Robot Activity Logs for Owner Attachment to Companion Robot","authors":"Megumi Takada, Junko Ichino, Kaname Hayashi","doi":"10.1007/s12369-023-01030-z","DOIUrl":"https://doi.org/10.1007/s12369-023-01030-z","url":null,"abstract":"","PeriodicalId":14361,"journal":{"name":"International Journal of Social Robotics","volume":"442 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135481064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.1007/s12369-023-01053-6
Shuai Yuan, Simon Coghlan, Reeva Lederman, Jenny Waycott
Abstract With interest growing in social robots for older people, it is crucial to consider how robots can be designed to support wellbeing and ethical values in residential aged care. By applying Tronto’s ethics of care framework and the Care Centred Value-Sensitive Design methodology to existing literature, this paper investigates how caring values are expressed, achieved, or undermined in interactions among older adults, caregivers, and social robots in real-world aged care practices. We conducted a comprehensive review of 18 qualitative and mixed-method studies on the deployment of humanoid social robots in residential aged care settings. Our analysis of the literature through a care ethics lens identified ways in which robots may either augment or limit care. The analysis particularly highlights the ethical importance of effective collaboration among robots, caregivers, and designers. We argue that a care ethics framework can enhance such collaboration and thereby promote good care. We further propose four design principles to guide designers in integrating care ethics into robot design requirements. These practical principles should help to promote the wellbeing of both residents and caregivers in aged care.
{"title":"Ethical Design of Social Robots in Aged Care: A Literature Review Using an Ethics of Care Perspective","authors":"Shuai Yuan, Simon Coghlan, Reeva Lederman, Jenny Waycott","doi":"10.1007/s12369-023-01053-6","DOIUrl":"https://doi.org/10.1007/s12369-023-01053-6","url":null,"abstract":"Abstract With interest growing in social robots for older people, it is crucial to consider how robots can be designed to support wellbeing and ethical values in residential aged care. By applying Tronto’s ethics of care framework and the Care Centred Value-Sensitive Design methodology to existing literature, this paper investigates how caring values are expressed, achieved, or undermined in interactions among older adults, caregivers, and social robots in real-world aged care practices. We conducted a comprehensive review of 18 qualitative and mixed-method studies on the deployment of humanoid social robots in residential aged care settings. Our analysis of the literature through a care ethics lens identified ways in which robots may either augment or limit care. The analysis particularly highlights the ethical importance of effective collaboration among robots, caregivers, and designers. We argue that a care ethics framework can enhance such collaboration and thereby promote good care. We further propose four design principles to guide designers in integrating care ethics into robot design requirements. These practical principles should help to promote the wellbeing of both residents and caregivers in aged care.","PeriodicalId":14361,"journal":{"name":"International Journal of Social Robotics","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134936093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.1007/s12369-023-01056-3
Nicolas Spatola, Olga A. Wudarczyk, Tatsuya Nomura, Emna Cherif
{"title":"Attitudes Towards Robots Measure (ARM): A New Measurement Tool Aggregating Previous Scales Assessing Attitudes Toward Robots","authors":"Nicolas Spatola, Olga A. Wudarczyk, Tatsuya Nomura, Emna Cherif","doi":"10.1007/s12369-023-01056-3","DOIUrl":"https://doi.org/10.1007/s12369-023-01056-3","url":null,"abstract":"","PeriodicalId":14361,"journal":{"name":"International Journal of Social Robotics","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134935276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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