{"title":"A GAN-based Approach to Communicative Gesture Generation for Social Robots","authors":"Nguyen Tan Viet Tuyen, A. Elibol, N. Chong","doi":"10.1109/ARSO51874.2021.9542828","DOIUrl":"https://doi.org/10.1109/ARSO51874.2021.9542828","url":null,"abstract":"People use a wide range of non-verbal behaviors to signal their intentions in interpersonal relationships. Being echoed by the proven benefits and impact of people's social interaction skills, considerable attention has been paid to generating non-verbal cues for social robots. In particular, communicative gestures help social robots emphasize the thoughts in their speech, describing something or conveying their feelings using bodily movements. This paper introduces a generative framework for producing communicative gestures to better enforce the semantic contents that social robots express. The proposed model is inspired by the Conditional Generative Adversarial Network and built upon a convolutional neural network. The experimental results confirmed that a variety of motions could be generated for expressing input contexts. The framework can produce synthetic actions defined in a high number of upper body joints, allowing social robots to clearly express sophisticated contexts. Indeed, the fully implemented model shows better performance than the one without Action Encoder and Decoder. Finally, the generated motions were transformed into the target robot and combined with the robot's speech, with an expectation of gaining broad social acceptance.","PeriodicalId":156296,"journal":{"name":"2021 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123906011","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}
Mamoru Sekiyama, K. Homma, Yujin Wakita, I. Kajitani, Ikue Mori, Y. Matsumoto
{"title":"Investigation of IoT on ankle-foot orthosis by introducing an existing life-activity measurement system","authors":"Mamoru Sekiyama, K. Homma, Yujin Wakita, I. Kajitani, Ikue Mori, Y. Matsumoto","doi":"10.1109/ARSO51874.2021.9542837","DOIUrl":"https://doi.org/10.1109/ARSO51874.2021.9542837","url":null,"abstract":"There is a strong demand from stakeholders in clinical practice to determine the usage status of orthotics among patients discharged after treatment. Considering that such patients will be using the orthoses at home or workplace, we proposed to integrate an activity meter that is already commercially available as a medical device into an existing orthosis to convert it to an IoT -enabled orthosis. The scope includes developing a method to attach the activity meter to the ankle-foot orthosis using a jig devised by us, and an algorithm to determine the operation status of the orthosis using the data obtained from the activity meter by application of IoT. To confirm the effectiveness of the IoT -enabled ankle-foot orthosis in meeting the requirements, we conducted several short-term and long-term experiments to judge the status of the subject while putting-on/removal of the orthosis, during normal routine activities at home and workplace, and at rest. We evaluated the results of the experiments to verify the quality of the data, reliability of the IoT/cloud network, and the effectiveness of the algorithm to interpret the data to actionable information.","PeriodicalId":156296,"journal":{"name":"2021 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116055712","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}
M. V. Otterdijk, Margot M. E. Neggers, J. Tørresen, E. Barakova
{"title":"Preferences of Seniors for Robots Delivering a Message With Congruent Approaching Behavior","authors":"M. V. Otterdijk, Margot M. E. Neggers, J. Tørresen, E. Barakova","doi":"10.1109/ARSO51874.2021.9542833","DOIUrl":"https://doi.org/10.1109/ARSO51874.2021.9542833","url":null,"abstract":"Congruence of verbal and nonverbal behavior of a robot is essential to establish a seamless and natural interaction between humans and robots. We have investigated the preference and user experience of the senior participants that a robot approaches with expressive movement that is tailored or incongruent to the message the robot brings. Twelve elderly experienced three scenarios with different messages varying from good news, bad news, and functional news, accompanied by the corresponding approaching behavior and body posture. The user experience of these elderly was evaluated during these scenarios using a questionnaire and a semi-structured interview. The participants were interviewed about their experience, preference, and motivation for the different robot motion behaviors. The analysis showed no significant difference in user experiences in the good news and functional news scenarios. Also, no clear preference among the different robot behaviors was found. However, a significant preference for congruence in the sad news scenario was found with a clear preference for the sad approaching behavior.","PeriodicalId":156296,"journal":{"name":"2021 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127582387","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}
{"title":"On Ethical Challenges Raised by Care Robots: A Review of the Existing Regulatory-, Theoretical-, and Research Gaps","authors":"Diana Saplacan, W. Khaksar, J. Tørresen","doi":"10.1109/ARSO51874.2021.9542844","DOIUrl":"https://doi.org/10.1109/ARSO51874.2021.9542844","url":null,"abstract":"This paper presents some of the ethical challenges that current care robots raise in home- and healthcare services for senior adults (≥65 years). The paper is grounded in some of the state-of-the-art projects within the area of care robotics. Further, the paper identifies and discusses several central challenges raised by using robots as part of care services for the elderly people. The paper contributes to the ethical debate on the implications care robots may have for the practical context of healthcare. In addition, the paper summarizes the main lines of the EU legal approach to AI robotic technology, offering a comprehensive picture of the existing regulatory, theoretical and research gaps, compelling the need of an interdisciplinary ethical reflection on care robots. Finally, the discussion is then balanced by some of the opportunities the care robots may provide for the care services.","PeriodicalId":156296,"journal":{"name":"2021 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131303028","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}
De'Aira G. Bryant, Jin Xu, Kantwon Rogers, A. Howard
{"title":"The Effect of Conceptual Embodiment on Human-Robot Trust During a Youth Emotion Classification Task","authors":"De'Aira G. Bryant, Jin Xu, Kantwon Rogers, A. Howard","doi":"10.1109/ARSO51874.2021.9542839","DOIUrl":"https://doi.org/10.1109/ARSO51874.2021.9542839","url":null,"abstract":"Interactive robots are increasingly being used in social environments to provide humans with information, guidance and even recommendation. User trust plays an important role in the human decision-making process for whether to accept or reject a robot's recommendation. Prior work in HRI has investigated various robot-related, task-related, and user-related factors that influence human-robot trust. This work further examines task and user-related factors influencing user trust during a robot-assisted emotion classification task when the embodiment of the robot is left for the user to conceptualize. The chosen task-related factors manipulate the level of certainty in the images to be labeled and the gender alignment between the individual in the image stimuli and the participant. We further consider participant gender, parental status, level of interaction with children, level of comfortability with robots and conceptual robot embodiment. An online between-subjects experiment was conducted with 241 participants. Experimental results show that task certainty and gender alignment along with level of comfortability with robots, level of interaction with children and conceptual embodiment all had significant effects on human-robot trust. Notably, participants who described their conceptual embodiment of the robot with human-like characteristics reported higher levels of trust than those who did not. These findings provide insights that contribute to a greater understanding of factors influencing human-robot trust during a situated scenario involving robot recommendation.","PeriodicalId":156296,"journal":{"name":"2021 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128683491","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}
{"title":"Using Sessions, Episodes and Parameterized Testing in ROSPIT for Constructing Re-Usable Test Specifications","authors":"Floris Erich, N. Ando","doi":"10.1109/ARSO51874.2021.9542830","DOIUrl":"https://doi.org/10.1109/ARSO51874.2021.9542830","url":null,"abstract":"In this paper we discuss the recently added parameterized testing functionalities in the ROSPIT Framework for Physical Integration Testing of robot applications. Physical Integration Testing is a paradigm for end-to-end (hardware-in-the-loop) testing of robot applications. Parameterized testing allows for a test suite to be dynamically reconfigured before execution. A parameterized execution of a test suite can be defined in an episode, and multiple episodes can be gathered in a session. By parameterizing test specifications it becomes easier to reuse and share them. The core test specification format is described using XML Schema, forming a kind of DSL for creating reproducible tests and experiments. By making it easier to create realistic test environments we hope to accelerate robot software engineering and increase the quality of robot software, leading to a greater social contribution of robotics.","PeriodicalId":156296,"journal":{"name":"2021 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124495011","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}
A. N. Chand, V. Mahalleh, T. Aziz, Arif Rahman, Abdullah Mohammed, Wan Zeid
{"title":"Small Scale Localized Maintenance of Industrial Infrastructure using Autonomous UAVs","authors":"A. N. Chand, V. Mahalleh, T. Aziz, Arif Rahman, Abdullah Mohammed, Wan Zeid","doi":"10.1109/ARSO51874.2021.9542838","DOIUrl":"https://doi.org/10.1109/ARSO51874.2021.9542838","url":null,"abstract":"The use of autonomous unmanned aerial vehicles (UAVs) for small scale maintenance tasks such as blasting, painting and ultrasonic thickness (UT) measurement of industrial infrastructure surfaces is considered. A number of modest but new improvements such as sensing using a 3D non-linear Lidar, unique navigation implementation, filtering using a predictive sliding window filter with mutating window size, coverage planning using custom parametric function and pseudo-velocity control are made which lead to an appreciable increase in performance of the integrated system. This allows the UAV to achieve higher levels of operating capability than currently reported. These improvements are reported in detail. Real world experiments are conducted which demonstrate the feasibility of endowing autonomy to UAVs for successfully executing small maintenance tasks when coating thickness requirements are in the order of hundreds of microns. Social impacts include improving worker safety conditions when performing inspection and maintenance at heights by eliminating scaffolding construction and reducing manual effort.","PeriodicalId":156296,"journal":{"name":"2021 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115409832","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}
{"title":"Influence of Personality Traits on Helping Behaviour in Human-Robot Interaction","authors":"Martin Westhoven, Patricia Tegtmeier","doi":"10.1109/ARSO51874.2021.9542832","DOIUrl":"https://doi.org/10.1109/ARSO51874.2021.9542832","url":null,"abstract":"Trait models of personality can be used to predict prosocial behaviour. In the research field of human-robot interaction, there are many hints that interaction patterns learned from interacting with other humans also guide human behaviour regarding robots. This leads to the question, whether behaviour towards robots can be predicted by trait models of personality as well. To answer this question for the case of helping behaviour towards robots, an experiment was designed in which 50 participants answered questionnaires on personality (HEXACO-PI-R-100) and on negative attitudes towards robots (NARS), and were observed while being repeatedly asked for help by a robot. The personality dimensions of Conscientiousness and Openness influenced the observed behaviour significantly. These results show that personality also affects human-robot interaction. Nonetheless, this present work is only a first step towards a more thorough understanding of the influencing factors of successful human-robot interaction.","PeriodicalId":156296,"journal":{"name":"2021 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127116070","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}
{"title":"Learning a Robot's Social Obligations from Comparisons of Observed Behavior","authors":"Colin Shea-Blymyer, Houssam Abbas","doi":"10.1109/ARSO51874.2021.9542846","DOIUrl":"https://doi.org/10.1109/ARSO51874.2021.9542846","url":null,"abstract":"We study the problem of learning a formal representation of a robot's social obligations from a human population's preferences. Rigorous system design requires a logical formalization of a robot's desired behavior, including the social obligations that constrain its actions. The preferences of the society hosting these robots are a natural source of these obligations. Thus we ask: how can we turn a popu-lation's preferences concerning robot behavior into a logico-mathematical specification that we can use to design the robot's controllers? We use non-deterministic weighted automata to model a robot's behavioral algorithms, and we use the deontic logic of Dominance Act Utilitarianism (DAU) to model the robot's social and ethical obligations. Given a set of automaton executions, and pair-wise comparisons between the executions, we develop simple algorithms to infer the automaton's weights, and compare them to existing methods; these weights are then turned into logical obligation formulas in DAU. We bound the sensitivity of the inferred weights to changes in the comparisons. We evaluate empirically the degree to which the obligations inferred from these various methods differ from each other.","PeriodicalId":156296,"journal":{"name":"2021 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134388949","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}
{"title":"Aiding Emergency Evacuations Using Obstacle-Aware Path Clearing","authors":"Mollik Nayyar, Alan R. Wagner","doi":"10.1109/ARSO51874.2021.9542834","DOIUrl":"https://doi.org/10.1109/ARSO51874.2021.9542834","url":null,"abstract":"We seek to develop robots capable of helping people evacuate. Some evacuation environments, however, may have obstacles blocking the person's path to the closest exit. This paper therefore explores the possibility of creating robots that detect and move obstacles in order to open evacuation pathways. Experiments were conducted using a simulated autonomous robot in photorealistic indoor environments. The system uses computer vision algorithms to gather information from the environment. We show that the gathered information can be used to decide whether an obstacle can or needs to be moved in order to open a new evacuation pathway. We then use simple push manipulations to successfully remove obstacles from a path. We show that the system decreases evacuation time for evacuees in simulations of indoor environments.","PeriodicalId":156296,"journal":{"name":"2021 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124601780","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}