Cenglin Yao, Yongzhou Li, Mohd Dilshad Ansari, M. A. Talab, Amit Verma
Abstract A number of suggestions are made based on the improved evolutionary algorithm and using the polishing parameter optimization of an industrial robot as an example to optimize the industrial process parameter control. By fitting a cubic B-spline curve, the trajectory curve of each joint is determined. The kinematic constraint is replaced with the control point constraint of a B-spline curve, and the time optimal time node is solved using an enhanced evolutionary algorithm. This foundation allows for the creation of the nonlinear trajectory curve that satisfies the time optimization. The research shows that based on the improved genetic algorithm (GA), the “degradation” phenomenon of the traditional GA can be avoided, and the optimal solution can be obtained faster, that is, the polishing working time of the polishing industrial robot reaches the optimal level. An enhanced GA that incorporates simulated annealing is suggested to address the mathematical model of robot deburring process parameter optimization. Population selection is accomplished by the use of metropolis sampling, which successfully addresses the issue of the GA’s simple local convergence. The process parameter optimization verification is done while a robot deburring test platform is being constructed. The test results demonstrate a considerable reduction in burr removal time per unit length and an increase in efficiency when compared with the empirical method.
{"title":"Optimization of industrial process parameter control using improved genetic algorithm for industrial robot","authors":"Cenglin Yao, Yongzhou Li, Mohd Dilshad Ansari, M. A. Talab, Amit Verma","doi":"10.1515/pjbr-2022-0006","DOIUrl":"https://doi.org/10.1515/pjbr-2022-0006","url":null,"abstract":"Abstract A number of suggestions are made based on the improved evolutionary algorithm and using the polishing parameter optimization of an industrial robot as an example to optimize the industrial process parameter control. By fitting a cubic B-spline curve, the trajectory curve of each joint is determined. The kinematic constraint is replaced with the control point constraint of a B-spline curve, and the time optimal time node is solved using an enhanced evolutionary algorithm. This foundation allows for the creation of the nonlinear trajectory curve that satisfies the time optimization. The research shows that based on the improved genetic algorithm (GA), the “degradation” phenomenon of the traditional GA can be avoided, and the optimal solution can be obtained faster, that is, the polishing working time of the polishing industrial robot reaches the optimal level. An enhanced GA that incorporates simulated annealing is suggested to address the mathematical model of robot deburring process parameter optimization. Population selection is accomplished by the use of metropolis sampling, which successfully addresses the issue of the GA’s simple local convergence. The process parameter optimization verification is done while a robot deburring test platform is being constructed. The test results demonstrate a considerable reduction in burr removal time per unit length and an increase in efficiency when compared with the empirical method.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"99 1","pages":"67 - 75"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79494087","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}
Zahraa A. Jaaz, Mohd Dilshad Ansari, P. S. JosephNg, H. M. Gheni
Abstract Internet of medical things (IoMT) communication has become an increasingly important component of 5G wireless communication networks in healthcare as a result of the rapid proliferation of IoMT devices. Under current network architecture, widespread access to IoMT devices causes system overload and low energy efficiency. 5G-based IoMT systems aim to protect healthcare infrastructure and medical device functionality for longer. Therefore, using energy-efficient communication protocols is essential for enhancing QoS in IoMT systems. Several methods have been developed recently to improve IoMT QoS; however, clustering is more popular because it provides energy efficiency for medical applications. The primary drawback of the existing clustering technique is that their communication model does not take into account the chance of packet loss, which results in unreliable communication and drains the energy of medical nodes. In this study, we concentrated on designing a clustering model named Whale optimized weighted fuzzy-based cluster head selection algorithm to facilitate successful communication for IoMT-based systems. The experimental study shows that the proposed strategy performs better in terms of QoS than compared approaches. Inferring from this, the proposed method not only reduces energy consumption levels of 5G-based IoMT systems but also uniformly distributes cluster-head over a network to improve QoS.
{"title":"Optimization technique based on cluster head selection algorithm for 5G-enabled IoMT smart healthcare framework for industry","authors":"Zahraa A. Jaaz, Mohd Dilshad Ansari, P. S. JosephNg, H. M. Gheni","doi":"10.1515/pjbr-2022-0101","DOIUrl":"https://doi.org/10.1515/pjbr-2022-0101","url":null,"abstract":"Abstract Internet of medical things (IoMT) communication has become an increasingly important component of 5G wireless communication networks in healthcare as a result of the rapid proliferation of IoMT devices. Under current network architecture, widespread access to IoMT devices causes system overload and low energy efficiency. 5G-based IoMT systems aim to protect healthcare infrastructure and medical device functionality for longer. Therefore, using energy-efficient communication protocols is essential for enhancing QoS in IoMT systems. Several methods have been developed recently to improve IoMT QoS; however, clustering is more popular because it provides energy efficiency for medical applications. The primary drawback of the existing clustering technique is that their communication model does not take into account the chance of packet loss, which results in unreliable communication and drains the energy of medical nodes. In this study, we concentrated on designing a clustering model named Whale optimized weighted fuzzy-based cluster head selection algorithm to facilitate successful communication for IoMT-based systems. The experimental study shows that the proposed strategy performs better in terms of QoS than compared approaches. Inferring from this, the proposed method not only reduces energy consumption levels of 5G-based IoMT systems but also uniformly distributes cluster-head over a network to improve QoS.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"84 1","pages":"99 - 109"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83801874","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}
Abstract The high computational cost, complex external environment, and limited computing resources of embedded system are some major problems in traditional autonomous robot navigation methods. To overcome these problems, a mobile robot path planning navigation system based on panoramic vision was proposed. This method first describes the structure and functions of the navigation system. It explains how to use the environment to explore and map in order to create a panoramic vision sensor. Finally, it elaborates on the breadth-first search based on regression neural network (RNN) method, the Voronoi skeleton diagram method, the algorithm principle, and how to navigate by the planning path implementation of practical strategies. The simulation results illustrate that the breadth-first search method and the Voronoi skeleton graph method based on panoramic view have a high speed. The accessibility of RNN planning algorithm can effectively solve the difficult problems such as high computing overhead, complex navigation environment, and limited computing resources. In the actual robot navigation experiment, the difference in real-time performance and optimality performance that exists between the two algorithms is reflected in the length and duration of the course taken by the robot. When applied to a variety of site environments, the breadth-first search method requires between 23.2 and 45.3% more time to calculate the planned path than the Voronoi skeleton graph method, despite the fact that the planned path length is between 20.7 and 35.9% shorter using the breadth-first search method. It serves as a guide for choosing the appropriate algorithm to implement in practical applications.
{"title":"Robot visual navigation estimation and target localization based on neural network","authors":"Yanping Zhao, R. K. Gupta, Edeh Michael Onyema","doi":"10.1515/pjbr-2022-0005","DOIUrl":"https://doi.org/10.1515/pjbr-2022-0005","url":null,"abstract":"Abstract The high computational cost, complex external environment, and limited computing resources of embedded system are some major problems in traditional autonomous robot navigation methods. To overcome these problems, a mobile robot path planning navigation system based on panoramic vision was proposed. This method first describes the structure and functions of the navigation system. It explains how to use the environment to explore and map in order to create a panoramic vision sensor. Finally, it elaborates on the breadth-first search based on regression neural network (RNN) method, the Voronoi skeleton diagram method, the algorithm principle, and how to navigate by the planning path implementation of practical strategies. The simulation results illustrate that the breadth-first search method and the Voronoi skeleton graph method based on panoramic view have a high speed. The accessibility of RNN planning algorithm can effectively solve the difficult problems such as high computing overhead, complex navigation environment, and limited computing resources. In the actual robot navigation experiment, the difference in real-time performance and optimality performance that exists between the two algorithms is reflected in the length and duration of the course taken by the robot. When applied to a variety of site environments, the breadth-first search method requires between 23.2 and 45.3% more time to calculate the planned path than the Voronoi skeleton graph method, despite the fact that the planned path length is between 20.7 and 35.9% shorter using the breadth-first search method. It serves as a guide for choosing the appropriate algorithm to implement in practical applications.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"3 1","pages":"76 - 83"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75904209","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}
K. Kühne, M. A. Jeglinski-Mende, M. Fischer, Yuefang Zhou
Abstract Background Social robots have been used in different roles, for example, in caregiving, companionship, and as a therapy tool, in recent years – with growing tendency. Although we still know little about factors that influence robots’ acceptance, studies have shown that robots are possible social companions for humans that help overcome loneliness, among other use cases. Especially in the given situation of forced social isolation, social companions are needed. This social gap might be filled by robots. We hypothesized that loneliness and the need to belong increase acceptance of social robots. Methods One hundred forty participants were asked to fill out an online survey on social robots and their acceptance in society. Questions on robots, demographical factors, and external factors (lockdown length) were asked and personal traits were also assessed. Results and interpretation As expected, among other findings, loneliness of participants was positively linked to robots’ acceptance. Nevertheless, need to belong was not. We conclude from these results that social robots are a possible social instrument to overcome loneliness and that interaction with a robot cannot replace belonging to a social group because robots lack needs that humans or animals have. Also, personality traits and demographic factors were linked to robots’ acceptance. This means that, even though there are generalizable connections between robots’ acceptance and factors as loneliness, personal traits are at least of similar importance. Discussion Our results provide important new insights into relationships between humans and robots and their limitations. Robots can ease our loneliness but are not seen as human. Future research needs to investigate factors that influence perception and acceptance of robots. Future lab-based studies with realistic human–robot interactions will deepen our insights of human understanding, perception, and acceptance of robots.
{"title":"Social robot – Jack of all trades?","authors":"K. Kühne, M. A. Jeglinski-Mende, M. Fischer, Yuefang Zhou","doi":"10.1515/pjbr-2022-0002","DOIUrl":"https://doi.org/10.1515/pjbr-2022-0002","url":null,"abstract":"Abstract Background Social robots have been used in different roles, for example, in caregiving, companionship, and as a therapy tool, in recent years – with growing tendency. Although we still know little about factors that influence robots’ acceptance, studies have shown that robots are possible social companions for humans that help overcome loneliness, among other use cases. Especially in the given situation of forced social isolation, social companions are needed. This social gap might be filled by robots. We hypothesized that loneliness and the need to belong increase acceptance of social robots. Methods One hundred forty participants were asked to fill out an online survey on social robots and their acceptance in society. Questions on robots, demographical factors, and external factors (lockdown length) were asked and personal traits were also assessed. Results and interpretation As expected, among other findings, loneliness of participants was positively linked to robots’ acceptance. Nevertheless, need to belong was not. We conclude from these results that social robots are a possible social instrument to overcome loneliness and that interaction with a robot cannot replace belonging to a social group because robots lack needs that humans or animals have. Also, personality traits and demographic factors were linked to robots’ acceptance. This means that, even though there are generalizable connections between robots’ acceptance and factors as loneliness, personal traits are at least of similar importance. Discussion Our results provide important new insights into relationships between humans and robots and their limitations. Robots can ease our loneliness but are not seen as human. Future research needs to investigate factors that influence perception and acceptance of robots. Future lab-based studies with realistic human–robot interactions will deepen our insights of human understanding, perception, and acceptance of robots.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"9 1","pages":"1 - 22"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86484311","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}
S. Chandra, Garima Gupta, T. Loucks, K. Dautenhahn
Abstract The inclusion of technologies such as telepractice, and virtual reality in the field of communication disorders has transformed the approach to providing healthcare. This research article proposes the employment of similar advanced technology – social robots, by providing a context and scenarios for potential implementation of social robots as supplements to stuttering intervention. The use of social robots has shown potential benefits for all the age group in the field of healthcare. However, such robots have not yet been leveraged to aid people with stuttering. We offer eight scenarios involving social robots that can be adapted for stuttering intervention with children and adults. The scenarios in this article were designed by human–robot interaction (HRI) and stuttering researchers and revised according to feedback from speech-language pathologists (SLPs). The scenarios specify extensive details that are amenable to clinical research. A general overview of stuttering, technologies used in stuttering therapy, and social robots in health care is provided as context for treatment scenarios supported by social robots. We propose that existing stuttering interventions can be enhanced by placing state-of-the-art social robots as tools in the hands of practitioners, caregivers, and clinical scientists.
{"title":"Opportunities for social robots in the stuttering clinic: A review and proposed scenarios","authors":"S. Chandra, Garima Gupta, T. Loucks, K. Dautenhahn","doi":"10.1515/pjbr-2022-0001","DOIUrl":"https://doi.org/10.1515/pjbr-2022-0001","url":null,"abstract":"Abstract The inclusion of technologies such as telepractice, and virtual reality in the field of communication disorders has transformed the approach to providing healthcare. This research article proposes the employment of similar advanced technology – social robots, by providing a context and scenarios for potential implementation of social robots as supplements to stuttering intervention. The use of social robots has shown potential benefits for all the age group in the field of healthcare. However, such robots have not yet been leveraged to aid people with stuttering. We offer eight scenarios involving social robots that can be adapted for stuttering intervention with children and adults. The scenarios in this article were designed by human–robot interaction (HRI) and stuttering researchers and revised according to feedback from speech-language pathologists (SLPs). The scenarios specify extensive details that are amenable to clinical research. A general overview of stuttering, technologies used in stuttering therapy, and social robots in health care is provided as context for treatment scenarios supported by social robots. We propose that existing stuttering interventions can be enhanced by placing state-of-the-art social robots as tools in the hands of practitioners, caregivers, and clinical scientists.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"347 1","pages":"23 - 44"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83455635","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}
S. Bringsjord, Naveen Sundar Govindarajulu, Michael Giancola
Abstract Suppose an artificial agent a adj {a}_{text{adj}} , as time unfolds, (i) receives from multiple artificial agents (which may, in turn, themselves have received from yet other such agents…) propositional content, and (ii) must solve an ethical problem on the basis of what it has received. How should a adj {a}_{text{adj}} adjudicate what it has received in order to produce such a solution? We consider an environment infused with logicist artificial agents a 1 , a 2 , … , a n {a}_{1},{a}_{2},ldots ,{a}_{n} that sense and report their findings to “adjudicator” agents who must solve ethical problems. (Many if not most of these agents may be robots.) In such an environment, inconsistency is a virtual guarantee: a adj {a}_{text{adj}} may, for instance, receive a report from a 1 {a}_{1} that proposition ϕ phi holds, then from a 2 {a}_{2} that ¬ ϕ neg phi holds, and then from a 3 {a}_{3} that neither ϕ phi nor ¬ ϕ neg phi should be believed, but rather ψ psi instead, at some level of likelihood. We further assume that agents receiving such incompatible reports will nonetheless sometimes simply need, before long, to make decisions on the basis of these reports, in order to try to solve ethical problems. We provide a solution to such a quandary: AI capable of adjudicating competing reports from subsidiary agents through time, and delivering to humans a rational, ethically correct (relative to underlying ethical principles) recommendation based upon such adjudication. To illuminate our solution, we anchor it to a particular scenario.
{"title":"Automated argument adjudication to solve ethical problems in multi-agent environments","authors":"S. Bringsjord, Naveen Sundar Govindarajulu, Michael Giancola","doi":"10.1515/pjbr-2021-0009","DOIUrl":"https://doi.org/10.1515/pjbr-2021-0009","url":null,"abstract":"Abstract Suppose an artificial agent a adj {a}_{text{adj}} , as time unfolds, (i) receives from multiple artificial agents (which may, in turn, themselves have received from yet other such agents…) propositional content, and (ii) must solve an ethical problem on the basis of what it has received. How should a adj {a}_{text{adj}} adjudicate what it has received in order to produce such a solution? We consider an environment infused with logicist artificial agents a 1 , a 2 , … , a n {a}_{1},{a}_{2},ldots ,{a}_{n} that sense and report their findings to “adjudicator” agents who must solve ethical problems. (Many if not most of these agents may be robots.) In such an environment, inconsistency is a virtual guarantee: a adj {a}_{text{adj}} may, for instance, receive a report from a 1 {a}_{1} that proposition ϕ phi holds, then from a 2 {a}_{2} that ¬ ϕ neg phi holds, and then from a 3 {a}_{3} that neither ϕ phi nor ¬ ϕ neg phi should be believed, but rather ψ psi instead, at some level of likelihood. We further assume that agents receiving such incompatible reports will nonetheless sometimes simply need, before long, to make decisions on the basis of these reports, in order to try to solve ethical problems. We provide a solution to such a quandary: AI capable of adjudicating competing reports from subsidiary agents through time, and delivering to humans a rational, ethically correct (relative to underlying ethical principles) recommendation based upon such adjudication. To illuminate our solution, we anchor it to a particular scenario.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"100 1","pages":"310 - 335"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74354560","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}
Andrea Brivio, Ksenia Rogacheva, Matteo Lucchelli, Andrea Bonarini
Abstract Robots have been used for many years in therapeutic activities with people with Autism Spectrum Disorder. However, most robots presented in the literature have limited or no mobility, are made of rigid materials, or are too expensive for many care centers. We share the choices and the design rationale of the latest version of a soft, mobile, low-cost, autonomous robot that has successfully been used for 3 years in a care center for activities that include both free play and structured games. Moreover, the kind of activities that can be performed with this robot, and the feedback obtained from therapists about its application are reported.
{"title":"A soft, mobile, autonomous robot to develop skills through play in autistic children","authors":"Andrea Brivio, Ksenia Rogacheva, Matteo Lucchelli, Andrea Bonarini","doi":"10.1515/pjbr-2021-0015","DOIUrl":"https://doi.org/10.1515/pjbr-2021-0015","url":null,"abstract":"Abstract Robots have been used for many years in therapeutic activities with people with Autism Spectrum Disorder. However, most robots presented in the literature have limited or no mobility, are made of rigid materials, or are too expensive for many care centers. We share the choices and the design rationale of the latest version of a soft, mobile, low-cost, autonomous robot that has successfully been used for 3 years in a care center for activities that include both free play and structured games. Moreover, the kind of activities that can be performed with this robot, and the feedback obtained from therapists about its application are reported.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"18 1","pages":"187 - 198"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85054787","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. M. Aroyo, Jan de Bruyne, Orian Dheu, E. Fosch-Villaronga, Aleksei Gudkov, Holly Hoch, Steve Jones, C. Lutz, H. Sætra, Mads Solberg, Aurelia Tamó-Larrieux
Abstract There is increasing attention given to the concept of trustworthiness for artificial intelligence and robotics. However, trust is highly context-dependent, varies among cultures, and requires reflection on others’ trustworthiness, appraising whether there is enough evidence to conclude that these agents deserve to be trusted. Moreover, little research exists on what happens when too much trust is placed in robots and autonomous systems. Conceptual clarity and a shared framework for approaching overtrust are missing. In this contribution, we offer an overview of pressing topics in the context of overtrust and robots and autonomous systems. Our review mobilizes insights solicited from in-depth conversations from a multidisciplinary workshop on the subject of trust in human–robot interaction (HRI), held at a leading robotics conference in 2020. A broad range of participants brought in their expertise, allowing the formulation of a forward-looking research agenda on overtrust and automation biases in robotics and autonomous systems. Key points include the need for multidisciplinary understandings that are situated in an eco-system perspective, the consideration of adjacent concepts such as deception and anthropomorphization, a connection to ongoing legal discussions through the topic of liability, and a socially embedded understanding of overtrust in education and literacy matters. The article integrates diverse literature and provides a ground for common understanding for overtrust in the context of HRI.
{"title":"Overtrusting robots: Setting a research agenda to mitigate overtrust in automation","authors":"A. M. Aroyo, Jan de Bruyne, Orian Dheu, E. Fosch-Villaronga, Aleksei Gudkov, Holly Hoch, Steve Jones, C. Lutz, H. Sætra, Mads Solberg, Aurelia Tamó-Larrieux","doi":"10.1515/pjbr-2021-0029","DOIUrl":"https://doi.org/10.1515/pjbr-2021-0029","url":null,"abstract":"Abstract There is increasing attention given to the concept of trustworthiness for artificial intelligence and robotics. However, trust is highly context-dependent, varies among cultures, and requires reflection on others’ trustworthiness, appraising whether there is enough evidence to conclude that these agents deserve to be trusted. Moreover, little research exists on what happens when too much trust is placed in robots and autonomous systems. Conceptual clarity and a shared framework for approaching overtrust are missing. In this contribution, we offer an overview of pressing topics in the context of overtrust and robots and autonomous systems. Our review mobilizes insights solicited from in-depth conversations from a multidisciplinary workshop on the subject of trust in human–robot interaction (HRI), held at a leading robotics conference in 2020. A broad range of participants brought in their expertise, allowing the formulation of a forward-looking research agenda on overtrust and automation biases in robotics and autonomous systems. Key points include the need for multidisciplinary understandings that are situated in an eco-system perspective, the consideration of adjacent concepts such as deception and anthropomorphization, a connection to ongoing legal discussions through the topic of liability, and a socially embedded understanding of overtrust in education and literacy matters. The article integrates diverse literature and provides a ground for common understanding for overtrust in the context of HRI.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"14 1","pages":"423 - 436"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83002198","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}
Abstract Recovery procedures are targeted at correcting issues encountered by robots. What are people’s opinions of a robot during these recovery procedures? During an experiment that examined how a mobile robot moved, the robot would unexpectedly pause or rotate itself to recover from a navigation problem. The serendipity of the recovery procedure and people’s understanding of it became a case study to examine how future study designs could consider breakdowns better and look at suggestions for better robot behaviors in such situations. We present the original experiment with the recovery procedure. We then examine the responses from the participants in this experiment qualitatively to see how they interpreted the breakdown situation when it occurred. Responses could be grouped into themes of sentience, competence, and the robot’s forms. The themes indicate that the robot’s movement communicated different information to different participants. This leads us to introduce the concept of movement acts to help examine the explicit and implicit parts of communication in movement. Given that we developed the concept looking at an unexpected breakdown, we suggest that researchers should plan for the possibility of breakdowns in experiments and examine and report people’s experience around a robot breakdown to further explore unintended robot communication.
{"title":"Movement acts in breakdown situations: How a robot's recovery procedure affects participants' opinions","authors":"Trenton Schulz, Rebekka Soma, Patrick Holthaus","doi":"10.1515/pjbr-2021-0027","DOIUrl":"https://doi.org/10.1515/pjbr-2021-0027","url":null,"abstract":"Abstract Recovery procedures are targeted at correcting issues encountered by robots. What are people’s opinions of a robot during these recovery procedures? During an experiment that examined how a mobile robot moved, the robot would unexpectedly pause or rotate itself to recover from a navigation problem. The serendipity of the recovery procedure and people’s understanding of it became a case study to examine how future study designs could consider breakdowns better and look at suggestions for better robot behaviors in such situations. We present the original experiment with the recovery procedure. We then examine the responses from the participants in this experiment qualitatively to see how they interpreted the breakdown situation when it occurred. Responses could be grouped into themes of sentience, competence, and the robot’s forms. The themes indicate that the robot’s movement communicated different information to different participants. This leads us to introduce the concept of movement acts to help examine the explicit and implicit parts of communication in movement. Given that we developed the concept looking at an unexpected breakdown, we suggest that researchers should plan for the possibility of breakdowns in experiments and examine and report people’s experience around a robot breakdown to further explore unintended robot communication.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"8 1","pages":"336 - 355"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87757381","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}
Abstract As robotic arms become prevalent in industry, it is crucial to improve levels of trust from human collaborators. Low levels of trust in human–robot interaction can reduce overall performance and prevent full robot utilization. We investigated the potential benefits of using emotional musical prosody (EMP) to allow the robot to respond emotionally to the user’s actions. We define EMP as musical phrases inspired by speech-based prosody used to display emotion. We tested participants’ responses to interacting with a virtual robot arm and a virtual humanoid that acted as a decision agent, helping participants select the next number in a sequence. We compared results from three versions of the application in a between-group experiment, where the robot presented different emotional reactions to the user’s input depending on whether the user agreed with the robot and whether the user’s choice was correct. One version used EMP audio phrases selected from our dataset of singer improvisations, the second version used audio consisting of a single pitch randomly assigned to each emotion, and the final version used no audio, only gestures. In each version, the robot reacted with emotional gestures. Participants completed a trust survey following the interaction, and we found that the reported trust ratings of the EMP group were significantly higher than both the single-pitch and no audio groups for the robotic arm. We found that our audio system made no significant difference in any metric when used on a humanoid robot implying audio needs to be separately designed for each platform.
{"title":"Emotional musical prosody for the enhancement of trust: Audio design for robotic arm communication","authors":"Richard J. Savery, Lisa Zahray, Gil Weinberg","doi":"10.1515/pjbr-2021-0033","DOIUrl":"https://doi.org/10.1515/pjbr-2021-0033","url":null,"abstract":"Abstract As robotic arms become prevalent in industry, it is crucial to improve levels of trust from human collaborators. Low levels of trust in human–robot interaction can reduce overall performance and prevent full robot utilization. We investigated the potential benefits of using emotional musical prosody (EMP) to allow the robot to respond emotionally to the user’s actions. We define EMP as musical phrases inspired by speech-based prosody used to display emotion. We tested participants’ responses to interacting with a virtual robot arm and a virtual humanoid that acted as a decision agent, helping participants select the next number in a sequence. We compared results from three versions of the application in a between-group experiment, where the robot presented different emotional reactions to the user’s input depending on whether the user agreed with the robot and whether the user’s choice was correct. One version used EMP audio phrases selected from our dataset of singer improvisations, the second version used audio consisting of a single pitch randomly assigned to each emotion, and the final version used no audio, only gestures. In each version, the robot reacted with emotional gestures. Participants completed a trust survey following the interaction, and we found that the reported trust ratings of the EMP group were significantly higher than both the single-pitch and no audio groups for the robotic arm. We found that our audio system made no significant difference in any metric when used on a humanoid robot implying audio needs to be separately designed for each platform.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"7 1","pages":"454 - 467"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87430154","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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