Relevant bibliographies by topics / Human-robot acceptance

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Human-robot acceptance'

Author: Grafiati
Published: 10 September 2021
Last updated: 1 February 2022

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Journal articles on the topic "Human-robot acceptance"

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Bröhl, Christina, Jochen Nelles, Christopher Brandl, Alexander Mertens, and Verena Nitsch. "Human–Robot Collaboration Acceptance Model: Development and Comparison for Germany, Japan, China and the USA." International Journal of Social Robotics 11, no. 5 (2019): 709–26. http://dx.doi.org/10.1007/s12369-019-00593-0.

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Abstract The use of robots in the national economy—especially in industrialized countries—is growing. At the same time, the interdependency between humans and robots is getting increasingly closer: they are engaging in direct contact with each other as more and more organizations let robots and humans work hand-in-hand. One factor that predicts successful human–robot interdependency is the acceptance of the robot by the human. Generally, only when an innovative assistive working system covers human needs and expectations, it is perceived to be useful and hence accepted. Furthermore, it has been found that cultural context has an impact on human–robot interaction, as people feel more comfortable interacting with a robot in a culturally normative way. Therefore this paper aims at presenting a human–robot collaboration acceptance model (HRCAM) with regard to the collaboration between humans and robots that is based on prior acceptance models, while also considering technology affinity and ethical, legal and social implications. Additionally, similarities and differences in robot acceptance are shown for four selected countries—both in comparison to the overall human–robot collaboration acceptance model and between the countries. The HRCAM additionally shows which variables influence perceived usefulness and perceived ease of use, and thus behavioral intention to use and use behavior. A further distinction is made between anchor variables, which can be influenced in the long term, and adjustment variables, which can be influenced in the short to medium term. The model therefore offers practitioners in the field of human–robot collaboration recommendations to increase the acceptance of robots.
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Bishop, Laura, Anouk van Maris, Sanja Dogramadzi, and Nancy Zook. "Social robots: The influence of human and robot characteristics on acceptance." Paladyn, Journal of Behavioral Robotics 10, no. 1 (2019): 346–58. http://dx.doi.org/10.1515/pjbr-2019-0028.

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AbstractResearch in social robotics is focused on the development of robots that can provide physical and cognitive support in a socially interactive way. Whilst some studies have previously investigated the importance of user characteristics (age, gender, education, robot familiarity, mood) in the acceptance of social robots as well as the influence a robot’s displayed emotion (positive, negative, neutral) has on the interaction, these two aspects are rarely combined. Therefore, this study attempts to highlight the need to consider the influence that both human and robot attributes can have on social robot acceptance. Eighty-six participants completed implicit and explicit measures of mood before viewing one of three video clips containing a positive, negative or neutral social robot (Pepper) followed by questionnaires on robot acceptance and perception. Gender and education were not associated with acceptance; however, several constructs of the acceptance questionnaire significantly correlated with age and mood. For example, those younger and those experiencing sadness or loneliness were more dependent on the opinions of others (as measured by the social influence construct of the acceptance questionnaire). This highlights the importance of mood in the introduction of social robots into vulnerable populations. Robot familiarity also correlated with robot acceptance with those more familiar finding the robot less useful and less enjoyable, this is important as robots become more prominent in society. Displayed robot emotion significantly influenced acceptance and perception with the positive robot appearing more childlike than the negative and neutral robot, and the neutral robot the least helpful. These findings emphasise the importance of both user and robot characteristics in the successful integration of social robots.
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Maurtua, Iñaki, Aitor Ibarguren, Johan Kildal, Loreto Susperregi, and Basilio Sierra. "Human–robot collaboration in industrial applications." International Journal of Advanced Robotic Systems 14, no. 4 (2017): 172988141771601. http://dx.doi.org/10.1177/1729881417716010.

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Human–robot collaboration is a key factor for the development of factories of the future, a space in which humans and robots can work and carry out tasks together. Safety is one of the most critical aspects in this collaborative human–robot paradigm. This article describes the experiments done and results achieved by the authors in the context of the FourByThree project, aiming to measure the trust of workers on fenceless human–robot collaboration in industrial robotic applications as well as to gauge the acceptance of different interaction mechanisms between robots and human beings.
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Wang, Weitian, Yi Chen, Rui Li, and Yunyi Jia. "Learning and Comfort in Human–Robot Interaction: A Review." Applied Sciences 9, no. 23 (2019): 5152. http://dx.doi.org/10.3390/app9235152.

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Collaborative robots provide prospective and great solutions to human–robot cooperative tasks. In this paper, we present a comprehensive review for two significant topics in human–robot interaction: robots learning from demonstrations and human comfort. The collaboration quality between the human and the robot has been improved largely by taking advantage of robots learning from demonstrations. Human teaching and robot learning approaches with their corresponding applications are investigated in this review. We also discuss several important issues that need to be paid attention to and addressed in the human–robot teaching–learning process. After that, the factors that may affect human comfort in human–robot interaction are described and discussed. Moreover, the measures utilized to improve human acceptance of robots and human comfort in human–robot interaction are also presented and discussed.
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Caleb-Solly, Praminda, Sanja Dogramadzi, Claire A. G. J. Huijnen, and Herjan van den Heuvel. "Exploiting ability for human adaptation to facilitate improved human-robot interaction and acceptance." Information Society 34, no. 3 (2018): 153–65. http://dx.doi.org/10.1080/01972243.2018.1444255.

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Meissner, Antonia, Angelika Trübswetter, Antonia S. Conti-Kufner, and Jonas Schmidtler. "Friend or Foe? Understanding Assembly Workers’ Acceptance of Human-robot Collaboration." ACM Transactions on Human-Robot Interaction 10, no. 1 (2020): 1–30. http://dx.doi.org/10.1145/3399433.

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Vannucci, Fabio, Alessandra Sciutti, Hagen Lehman, Giulio Sandini, Yukie Nagai, and Francesco Rea. "Cultural differences in speed adaptation in human-robot interaction tasks." Paladyn, Journal of Behavioral Robotics 10, no. 1 (2019): 256–66. http://dx.doi.org/10.1515/pjbr-2019-0022.

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AbstractIn social interactions, human movement is a rich source of information for all those who take part in the collaboration. In fact, a variety of intuitive messages are communicated through motion and continuously inform the partners about the future unfolding of the actions. A similar exchange of implicit information could support movement coordination in the context of Human-Robot Interaction. In this work, we investigate how implicit signaling in an interaction with a humanoid robot can lead to emergent coordination in the form of automatic speed adaptation. In particular, we assess whether different cultures – specifically Japanese and Italian – have a different impact on motor resonance and synchronization in HRI. Japanese people show a higher general acceptance toward robots when compared with Western cultures. Since acceptance, or better affiliation, is tightly connected to imitation and mimicry, we hypothesize a higher degree of speed imitation for Japanese participants when compared to Italians. In the experimental studies undertaken both in Japan and Italy, we observe that cultural differences do not impact on the natural predisposition of subjects to adapt to the robot.
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Shin, Dong-Hee, and Hyungseung Choo. "Modeling the acceptance of socially interactive robotics." Interaction Studies 12, no. 3 (2011): 430–60. http://dx.doi.org/10.1075/is.12.3.04shi.

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Based on an integrated theoretical framework, this study analyzes user acceptance behavior toward socially interactive robots focusing on the variables that influence the users’ attitudes and intentions to adopt robots. Individuals’ responses to questions about attitude and intention to use robots were collected and analyzed according to different factors modified from a variety of theories. The results of the proposed model explain that social presence is key to the behavioral intention to accept social robots. The proposed model shows the significant roles of perceived adaptivity and sociability, both of which affect attitude as well as influence perceived usefulness and perceived enjoyment, respectively. These factors can be key features of users’ expectations of social robots, which can give practical implications for designing and developing meaningful social interaction between robots and humans. The new set of variables is specific to social robots, acting as factors that enhance attitudes and behavioral intentions in human–robot interactions. Keywords: Robot acceptance model; Socially interactive robots; Social robots; Social presence
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Rossi, Silvia, Daniela Conti, Federica Garramone, et al. "The Role of Personality Factors and Empathy in the Acceptance and Performance of a Social Robot for Psychometric Evaluations." Robotics 9, no. 2 (2020): 39. http://dx.doi.org/10.3390/robotics9020039.

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Research and development in socially assistive robotics have produced several novel applications in the care of senior people. However, some are still unexplored such as their use as psychometric tools allowing for a quick and dependable evaluation of human users’ intellectual capacity. To fully exploit the application of a social robot as a psychometric tool, it is necessary to account for the users’ factors that might influence the interaction with a robot and the evaluation of user cognitive performance. To this end, we invited senior participants to use a prototype of a robot-led cognitive test and analyzed the influence of personality traits and user’s empathy on the cognitive performance and technology acceptance. Results show a positive influence of a personality trait, the “openness to experience”, on the human-robot interaction, and that other factors, such as anxiety, trust, and intention to use, are influencing technology acceptance and correlate the evaluation by psychometric tests.
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Matsumura, Reo, Masahiro Shiomi, Kayako Nakagawa, Kazuhiko Shinozawa, and Takahiro Miyashita. "A Desktop-Sized Communication Robot: “robovie-mR2”." Journal of Robotics and Mechatronics 28, no. 1 (2016): 107–8. http://dx.doi.org/10.20965/jrm.2016.p0107.

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[abstFig src='/00280001/13.jpg' width=""230"" text='Appearance of robovie-mR2' ]We developed robovie-mR2, a desktop-sized communication robot, in which we incorporated a “Kawaii” design to create a familiar appearance because it is an important acceptance factor for both researchers and users. It can interact with people using multiple sensors, including a camera and microphones, expressive gestures, and an information display. We believe that robovie-mR2 will become a useful robot platform to advance the research of human-robot interaction. We also give examples of human-robot interaction research works that use robovie-mR2.
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Dissertations / Theses on the topic "Human-robot acceptance"

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Charalambous, George. "The development of a human factors tool for the successful implementation of industrial human-robot collaboration." Thesis, Cranfield University, 2014. http://dspace.lib.cranfield.ac.uk/handle/1826/9201.

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Manufacturing organisations have placed significant attention to the potential of industrial human-robot collaboration (HRC) as a means for enhancing productivity and product quality. This concept has predominantly been seen from an engineering and safety aspect, while the human related issues tend to be disregarded. As the key human factors relevant to industrial HRC have not yet been fully investigated, the research presented in this thesis sought to develop a human factors tool to enable the successful implementation of industrial HRC. First, a theoretical framework was developed which collected the key organisational and individual level human factors by reviewing comparable contexts to HRC. The human factors at each level were investigated separately. To identify whether the organisational human factors outlined in the theoretical framework were enablers or barriers, an industrial exploratory case study was conducted where traditional manual work was being automated. The implications provided an initial roadmap of the key organisational human factors that need to be considered as well as the critical inter-relations between them. From the list of individual level human factors identified in the theoretical framework, the focus was given on exploring the development of trust between human workers and industrial robots. A psychometric scale that measures trust specifically in industrial HRC was developed. The scale offers the opportunity to system designers to identify the key system aspects that can be manipulated to optimise trust in industrial HRC. Finally, the results were gathered together to address the overall aim of the research. A human factors guidance tool was developed which provides practitioners propositions to enable successful implementation of industrial HRC.
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Molin, Victoria, and Sofia Nordgren. "Robot or Human? The Marketing Phenomenon of Virtual Influencers : A Case Study About Virtual Influencers’ Parasocial Interaction on Instagram." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-388646.

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Title: Robot or Human? The Marketing Phenomenon of Virtual Influencers: A Case Study About Virtual Influencers’ Parasocial Interaction on Instagram. Purpose: As it is already established that human influencers can create parasocial interaction with their followers, the purpose of this study is to explore parasocial interaction with virtual influencers through their perceived source credibility. Research Questions: How are consumers responding to interaction with virtual influencers on Instagram? What factors in source credibility facilitate parasocial interaction between the actors?  Method: This case study has conducted semi-structured interviews with Swedish consumers along with information collected on two virtual fashion influencers: LilMiquela and Noonoouri. Before the interviews, a pretest in interacting with the virtual influencers on Instagram was conducted. Afterwards, the transcripts have been analyzed in accordance to the presented operationalization and led to subcategories found to be relevant for the facilitation of PSI.  Conclusion: It was shown that consumers responded better to interaction with humanlike virtual influencers regarding their appearance and lifelike activities. Although, consumers also perceive their appearance and behavior as unpleasant and unrealistic when being too close to reality. Their perceived humanness affected the level of attractiveness, similarity and trustworthiness. As such, these are the factors that affect the degree of source credibility and thus facilitate PSI with them. Virtual influencers stand in front of a problem with both authenticity and transparency, as they are created and owned by companies. This has implications for their overall attractiveness, as authenticity is shown to be important for consumers on Instagram. However, lack of authenticity and transparency mostly implicates the trustworthiness of them, as the communicator is unknown. Virtual influencers are perceived to have a superior ability of being available online and personal in interaction. Therefore, it is shown to have a positive effect on the facilitation of PSI as it increases their attractiveness. However, it also indicates that they are controlled by a company which has a negative effect as it decreases the trustworthiness of them. To conclude, consumers’ virtual robot acceptance is proposed to be a precursor for developing PSI with virtual influencers in conjunction with the three factors in source credibility: trustworthiness, attractiveness and similarity.
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Sidiropoulou, Coster Sofia, and Isabelle Donnerberg. "Hur skapas robotar som accepteras av den äldre generationen? : En studie om robotar inom äldreomsorg." Thesis, Södertörns högskola, Institutionen för naturvetenskap, miljö och teknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-34653.

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Utvecklingen av robotar inom äldreomsorg går fort framåt. Det finns ett brett utbud av robotar för olika sammanhang. År 2050 förväntas en global fördubbling av andelen äldre människor. Robotar som kan hjälpa till i äldrevården har fått ökat politiskt intresse då den demografiska utvecklingen pekar på att andelen äldre kommer öka i omfattning. Denna rapport kommer att undersöka vilka faktorer som gör att äldre människor accepterar användandet av robotar samt hur experter inom robotik arbetar för att utveckla dessa. Studien kommer baseras på insamlad data från både äldre människor, 65 år och över, samt experter inom robotik. Till grund för uppsatsen har en mängd vetenskapliga artiklar använts. Resultatet av studien visar att faktorer som är viktiga för äldres acceptans av robotar går in under utformning, kunskap, säkerhet, integritet, lätt att använda samt uppfattad användbarhet. Studien visar att experter i nuläget arbetat väl med hänsyn till de äldre.<br>The development of robotics within the elderly care is moving fast forward. There is a wide range of robots for different occasions. By year 2050 it is expected that the worlds older population will be doubled. Robots that can help in the elderly care has thus gotten a political interest hence the demographic development that point to an increase in the proportion of elderly people. This essay will investigate which factors make elderly people accept the usage of robots and how experts in robotics work to develop these robots. The study will be based on data from both elderly people over 65 and experts in robotics and a number of scientific articles have been used for the essay. The results of the study show that factors that are important for older people's acceptance of robots fall under; configuration, knowledge, safety, integrity, perceived ease of use and perceived usefulness. The study shows that experts are currently working well with regard to the elderly.
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Thunberg, Sofia. "Investigating the Social Influence of Different Humanoid Robots." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139347.

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The aim with this thesis were to investigate social influence of the two humanoid robots, NAO and Pepper. The research questions were if there were a difference in human social acceptance, in social influence and in influence on human decision making between NAO and Pepper. To answer these questions, an experiment using the Wizard of Oz-method were used with 36 participant, 18 in each group, interacted with NAO or Pepper. Afterwards two questionnaires, NARS and GODSPEED, were answered and an additional interview were held with the participants. The result showed a significant difference on GODSPEED, where NAO indicates to have a higher amount of social influence on the participants then Pepper. The result for NARS were not significant. The result from the decisions made during the experiment indicated that humans follow NAO more than Pepper, a result that got more explained and understandable during the interviews.   For future studies there would be interesting to test the scenario with a larger selection and also with a more natural Wizard of Oz-design.
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Brauer, Robert R. "Akzeptanz kooperativer Roboter im industriellen Kontext." Doctoral thesis, Universitätsbibliothek Chemnitz, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-228852.

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In der industriellen Fertigung wird fortlaufend neuartige Technik implementiert. In der Automobilindustrie stellen kooperative Roboter eine Form neuartiger Technik dar. Für die Einstellung gegenüber kooperativen Robotern und deren Nutzung spielt die Akzeptanz vor allem beim Erstkontakt eine entscheidende Rolle. Der Grund ist die quasi-soziale Interaktion mit menschlichen Interaktionspartnern. Damit es nicht zur grundlosen Ablehnung kooperativer Roboter als Form neuartiger Technik kommt, verfolgt diese Arbeit als Ziele die Erklärung und anschließende Beeinflussung der Akzeptanz gegenüber kooperativen Robotern auf Grundlage der „unified theory of acceptance and use of technology“ (Venkatesh, Morris, Davis, &amp; Davis, 2003). Dafür wurden Einflussvariablen auf die Akzeptanz kooperativer Roboter identifiziert. Anschließend wurde die Beeinflussbarkeit der Akzeptanz untersucht und es wurden verschiedene Wege der Einführung eines kooperativen Roboters im Anwendungsfeld der Automobilindustrie miteinander verglichen. Die Akzeptanzsteigerung vor der eigentlichen Nutzung eines kooperativen Roboters konnte realisiert werden. Zudem ließen sich die Ergebnisse auch auf eine weitere Form neuartiger Technik im Untersuchungskontext übertragen<br>New technologies are constantly implemented in the industrial context. Cooperative robots are a new technology in the automobile industry. The acceptance of these is important for the user’s attitude towards and their usage of them before and during the first contact. The reason for that is the quasi-social interaction with human interaction partners. To counteract the possibility of an unsubstantiated rejection of the use of this new technology, this paper has the aims of explaining and subsequently influencing the acceptance of cooperative robots based on the „unified theory of acceptance and use of technology“ (Venkatesh, Morris, Davis, &amp; Davis, 2003). Therefore variables affecting the acceptance of cooperative robots were identified. Afterwards the influenceability of the acceptance was tested and different ways of introducing a cooperative robot to new interaction partners in the new context of the automobile industry have been compared. As a result an increase of the user’s acceptance could be achieved before the actual use of the cooperative robot. Furthermore the results could also be transferred to another new technology in the same context of research
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Pandey, Amit kumar. "Towards Socially Intelligent Robots in Human Centered Environment." Thesis, Toulouse, INSA, 2012. http://www.theses.fr/2012ISAT0032/document.

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Bientôt, les robots ne travailleront plus de manière isolée mais avec nous. Ils entrent peu à peu dans notre vie de tous les jours pour coopérer, assister, aider, servir, apprendre, enseigner ou même jouer avec l'homme. Dans ce contexte, nous considérons que ce ne doit pas être à l'homme de s'adapter au robot. Au contraire, le robot doit être capable d'intégrer, dans ses stratégies de planification et de décision, différents facteurs d'effort et de confort et de prendre en compte les préférences et désirs de l'homme ainsi que les normes sociales de son environnement. Tout en respectant les principes de sécurité réglementaire, le robot doit se comporter, naviguer, manipuler, communiquer et apprendre d'une manière qui soit pertinente, acceptée et compréhensible par l'homme. Cette thèse explore et définit les ingrédients clés nécessaires au robot pour développer une telle intelligence socio-cognitive. Elle définit également un cadre pour l'interaction homme-robot permettant de s'attaquer à ces challenges dans le but de rendre le robot socialement intelligent<br>Robots will no longer be working isolated from us. They are entering into our day-to-day life to cooperate, assist, help, serve, learn, teach and play with us. In this context, it is important that because of the presence of robots, the human should not be on compromising side. To achieve this, beyond the basic safety requirements, robots should take into account various factors ranging from human’s effort, comfort, preferences, desire, to social norms, in their various planning and decision making strategies. They should behave, navigate, manipulate, interact and learn in a way, which is expected, accepted, and understandable by us, the human. This thesis begins by exploring and identifying the basic yet key ingredients of such socio-cognitive intelligence. Then we develop generic frameworks and concepts from HRI perspective to address these additional challenges, and to elevate the robots capabilities towards being socially intelligent
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Yang, Yu-Chia, and 楊育嘉. "The Determinants of Acceptance for Robot-Advisor in Collaboration with Human Financial consultants: An Application of TAM." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/v78n5t.

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碩士<br>國立臺灣科技大學<br>企業管理系<br>106<br>Disruptive innovation triggered by financial technology is challenging the existing financial service providers and consumer behaviors. Financial consultants cannot help but worrying about being replaced by robo-advisor on wealth management which is a business used to be served by human beings.　This study investigated the factors influencing the collaboration between financial consultants and robo-advisor with a TAM perspective which includes external variables of personal innovation, competitors' use, and perceptual complementarity. The results show that, the use by competitors has a significant impact on perceived usefulness and perceived ease of use; perceived complementarity has a significant impact on perceived usefulness, but it has no significant effect on perceived ease of use; personal innovation has no significant impact on perceived usefulness and perceived ease of use. To sum up, financial consultants and robo-advisor have a great willingness to use in collaborative work. Factors that affect their willingness are perceptual usefulness, perceptual ease of use, competitor use, and perceptual complementarity. Traditional financial consultants and robo-advisor may not be simply competing, but they can also complement each other to create greater value.
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Barthuly, Daniel. "Autonomous ground vehicles in urban last-mile delivery : an exploration of the implementation feasibility and consumer’s acceptance." Master's thesis, 2019. http://hdl.handle.net/10400.14/29253.

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E-Commerce has rapidly changed the urban last-mile delivery in recent years, and Courier-, Express- and Parcel (CEP) companies are challenged by the increasing demand. Service robotics with autonomous vehicles are subject to be the catalyst for transforming the industry. Considering the infancy and lack of research on the subject, the purpose of this study is to explore the concept of autonomous ground vehicles (AGVs) in urban last-mile delivery from two perspectives. First, data about the industry and insights from the technology provider summarize the status quo of recent developments and implementation barriers with the help of expert interviews. The findings show obstacles in the technological maturity and regulatory framework. Moreover, although only road-AGVs (rAGVs) will significantly change the industry, sidewalk-AGVs (sAGVs) act as a proof of concept as the implementation is more feasible. In addition, they create new premium services for the consumers. Second, an attempt to determine the consumer’s acceptance of sAGVs, using the combination of the technology acceptance model and the technology readiness index, is made with an online survey. The proposed research model is analysed by means of simple regression analysis, and all hypotheses are supported. The majority of the respondents have a positive attitude towards the concept of sAGVs for delivery and consider using it when the safety of their delivery goods is guaranteed. This dissertation enriches the literature on human-robot acceptance as well as the management of CEP-companies to increase the engagement in the implementation of sidewalk-AGVs to increase service innovation for consumers.<br>O comércio electrónico mudou rapidamente a entrega urbana de bens ao consumidor, e as empresas de Correio Expresso Urgente são desafiadas pela procura crescente. Os serviços robóticos com veículos autónomos serão provavelmente o catalisador da transformação desta indústria. Considerando a falta e o estágio inicial de investigação, este estudo explora o conceito de veículos autónomos terrestres (AGVs) na entrega urbana de bens ao consumidor considerando duas perspetivas. Uma primeira será a de recolher dados sobre a indústria e insights de fornecedores da tecnologia, sumarizando os mais recentes desenvolvimentos e as barreiras à implementação, com a ajuda de entrevistas a especialistas. Os resultados revelam obstáculos na maturidade tecnológica e enquadramento regulamentar. Adicionalmente, embora apenas os AGVs rodoviários (rAGVs) virão a alterar significativamente a indústria, os AGVs de passeio (sAGVs) atuam como prova de conceito, dada a sua implementação viável. Em segundo lugar, a aceitação de sAGVs por parte do consumidor é determinada através da combinação de modelos de aceitação tecnológica e do índex de prontidão de tecnologia, via questionário online. O modelo de investigação proposto é testado por meio de análise de regressão simples, e todas as hipóteses são suportadas. A maioria dos participantes tem uma atitude positiva em relação aos sAGVs para entrega, e considera usá-los se a segurança dos seus bens for garantida. Esta dissertação enriquece a literatura sobre aceitação humana-robot, bem como a gestão de empresas de Correio Expresso Urgente, aumentando o envolvimento na implementação de sAGVs e fomentando a inovação em serviços para o consumidor.
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CHUANG, YU-HSUAN, and 莊于萱. "The Workplace Space Configuration Design and the Establishment of Minimum Acceptable Interactive Distancesin Human-Robot Collaborative Environment." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/s787f3.

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碩士<br>逢甲大學<br>工業工程與系統管理學系<br>105<br>One of the core technologies in the intelligent manufacturing system is the robot. In the Industrial 4.0, the collaboration between man and robot is becoming more and more common. In this study, human and robot collaborative assembly operations are divided into two parts, one is the design of the workplace space configuration in the assembly work, and the other is the establishment of minimum acceptable interactive distances. In order to improve the efficiency of human and robot collaborative assembly and reduce the fatigue of the operator in a long time work. This paper explored the design of the workplace space between the robot and the operator in the Human-Robot collaborative enviroment. Subjectively measure the degree of preference of each workplace space configuration. Objective measurement of the rotation angle and running time of the robotic arm of each workplace space configuration. In traditional automation, the robot and the operator work separately and use a fence to protect the safety of the operator. In the intelligent manufacturing systems, the emerging cooperation robots realize the possibility of co-existence of robots and human operators as well as sharing the same work area. Thus, how to ensure the sense of safety of human operators in the human-robot cooperative environment becomes an important issue. This paper explored the subjective minimum acceptable distance between a human operator and a cooperation robot when performing tasks of various interactive operations in a human-robot collaboration environment. The experiment is divided into robotic arm in static measurement and dynamic measurement. Experimental results suggested that in the workplace space configuration, the robot position and the path has a significant symmetry. Most people like the design is the robot position right front and the path counterclockwise and the robot position left front and the path clockwise. The establishment of minimum acceptable interactive distances can be static measurement results. Human-Robot collaboration should be avoided by designing the robot arm to move the path across the head and the vertical or longitudinal path. At the higher speed, the distance should be kept farther away. To reduce the psychological load of the operator when collaborating with robot.
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Book chapters on the topic "Human-robot acceptance"

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Couvent, Adrian, Christophe Debain, Nicolas Tricot, and Fabien Coutarel. "Human-Robot Cooperation: Link Between Acceptance and Modes of Cooperation Chosen by Operator with a Robot." In Human Systems Engineering and Design II. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27928-8_22.

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Bröhl, Christina, Jochen Nelles, Christopher Brandl, Alexander Mertens, and Christopher M. Schlick. "TAM Reloaded: A Technology Acceptance Model for Human-Robot Cooperation in Production Systems." In HCI International 2016 – Posters' Extended Abstracts. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40548-3_16.

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Zhai, Yanan, Na Chen, and Jiajia Cao. "Effects of Gender Matching on Performance in Human-Robot Teams and Acceptance of Robots." In Cross-Cultural Design. Applications in Cultural Heritage, Tourism, Autonomous Vehicles, and Intelligent Agents. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77080-8_32.

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Znagui Hassani, Anouar, Betsy van Dijk, Geke Ludden, and Henk Eertink. "Touch versus In-Air Hand Gestures: Evaluating the Acceptance by Seniors of Human-Robot Interaction." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25167-2_42.

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Mishra, Nidhi, Evangelia Baka, and Nadia Magnenat Thalmann. "Exploring Potential and Acceptance of Socially Intelligent Robot." In Intelligent Scene Modeling and Human-Computer Interaction. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71002-6_15.

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Fernández Coleto, Noelia, Eduardo Ruiz Ramírez, Frederik Haarslev, and Leon Bodenhagen. "Towards Socially Acceptable, Human-Aware Robot Navigation." In Social Robotics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-35888-4_54.

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Niemelä, Marketta, Päivi Heikkilä, Hanna Lammi, and Virpi Oksman. "A Social Robot in a Shopping Mall: Studies on Acceptance and Stakeholder Expectations." In Human–Computer Interaction Series. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17107-0_7.

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Tay, Benedict Tiong Chee, Taezoon Park, Younbo Jung, Yeow Kee Tan, and Alvin Hong Yee Wong. "When Stereotypes Meet Robots: The Effect of Gender Stereotypes on People’s Acceptance of a Security Robot." In Engineering Psychology and Cognitive Ergonomics. Understanding Human Cognition. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39360-0_29.

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Papadopoulos, Fotios, Kerstin Dautenhahn, and Wan Ching Ho. "Behavioral Analysis of Human-Human Remote Social Interaction Mediated by an Interactive Robot in a Cooperative Game Scenario." In Rapid Automation. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8060-7.ch055.

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This book chapter describes the implementation, testing, and evaluation of the first prototype of the “AIBOcom” system, which allows remote users to play an interactive game cooperatively each using a pet-like robot as a social mediator. An exploratory pilot study tested this remote communication system with 10 pairs of participants who were exposed to two experimental conditions characterised by two different modes of synchronisation between the two robots that each interacts locally with the participant. In one mode, the robots incrementally affected each other's behaviour, while in the other, the robots mirrored each other's behaviour. Instruments used in this study include questionnaires, video observations and log files for the game state. The authors used various techniques to measure engagement and synchronization such as quantitative (e.g. rate of occurrence and average values) as well as qualitative measurements. In an exploratory data analysis, these multiple sources of data reflecting participant performance and characteristics were analyzed. Significant correlations were found and presented between the participants as well as participants' preferences and overall acceptance of such communication media. Findings indicate that participants preferred the mirroring mode, and that in this pilot study, robot-assisted remote communication was considered desirable and acceptable to the participants. Furthermore, the existence of interaction variations among different demographic groups was found, while this chapter lists and interprets the most significant effects.
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Papadopoulos, Fotios, Kerstin Dautenhahn, and Wan Ching Ho. "Behavioral Analysis of Human-Human Remote Social Interaction Mediated by an Interactive Robot in a Cooperative Game Scenario." In Handbook of Research on Technoself. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2211-1.ch033.

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Abstract:
This book chapter describes the implementation, testing, and evaluation of the first prototype of the “AIBOcom” system, which allows remote users to play an interactive game cooperatively each using a pet-like robot as a social mediator. An exploratory pilot study tested this remote communication system with 10 pairs of participants who were exposed to two experimental conditions characterised by two different modes of synchronisation between the two robots that each interacts locally with the participant. In one mode, the robots incrementally affected each other’s behaviour, while in the other, the robots mirrored each other’s behaviour. Instruments used in this study include questionnaires, video observations and log files for the game state. The authors used various techniques to measure engagement and synchronization such as quantitative (e.g. rate of occurrence and average values) as well as qualitative measurements. In an exploratory data analysis, these multiple sources of data reflecting participant performance and characteristics were analyzed. Significant correlations were found and presented between the participants as well as participants’ preferences and overall acceptance of such communication media. Findings indicate that participants preferred the mirroring mode, and that in this pilot study, robot-assisted remote communication was considered desirable and acceptable to the participants. Furthermore, the existence of interaction variations among different demographic groups was found, while this chapter lists and interprets the most significant effects.
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Conference papers on the topic "Human-robot acceptance"

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Esterwood, Connor, Kyle Essenmacher, Han Yang, Fanpan Zeng, and Lionel Peter Robert. "A Meta-Analysis of Human Personality and Robot Acceptance in Human-Robot Interaction." In CHI '21: CHI Conference on Human Factors in Computing Systems. ACM, 2021. http://dx.doi.org/10.1145/3411764.3445542.

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Cha, Elizabeth, Anca D. Dragan, and Siddhartha S. Srinivasa. "Effects of robot capability on user acceptance." In 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 2013. http://dx.doi.org/10.1109/hri.2013.6483519.

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Kim, Aelee, Hyejin Kum, Ounjeong Roh, Sangseok You, and Sukhan Lee. "Robot gesture and user acceptance of information in human-robot interaction." In the seventh annual ACM/IEEE international conference. ACM Press, 2012. http://dx.doi.org/10.1145/2157689.2157793.

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Kochigami, Kanae, Kei Okada, and Masayuki Inaba. "Social Acceptance of Interactive Robots in Japan." In HRI '18: ACM/IEEE International Conference on Human-Robot Interaction. ACM, 2018. http://dx.doi.org/10.1145/3173386.3177012.

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Mele, C., T. Russo Spena, M. Tregua, et al. "Understanding robot acceptance/rejection: the SAR model." In 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE, 2020. http://dx.doi.org/10.1109/ro-man47096.2020.9223577.

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Shiomi, Masahiro, and Norihiro Hagita. "Social acceptance of a childcare support robot system." In 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE, 2015. http://dx.doi.org/10.1109/roman.2015.7333658.

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Lin, Chaolan, Karl F. MacDorman, Selma Šabanović, Andrew D. Miller, and Erin Brady. "Parental Expectations, Concerns, and Acceptance of Storytelling Robots for Children." In HRI '20: ACM/IEEE International Conference on Human-Robot Interaction. ACM, 2020. http://dx.doi.org/10.1145/3371382.3378376.

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Kim, Yunkyung, Sonya S. Kwak, and Myung-suk Kim. "Effects of intergroup relations on people's acceptance of robots." In 2010 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 2010. http://dx.doi.org/10.1109/hri.2010.5453243.

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Nomura, Tatsuya. "Cultural differences in social acceptance of robots." In 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE, 2017. http://dx.doi.org/10.1109/roman.2017.8172354.

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Niemelä, Marketta, Anne Arvola, and Iina Aaltonen. "Monitoring the Acceptance of a Social Service Robot in a Shopping Mall." In HRI '17: ACM/IEEE International Conference on Human-Robot Interaction. ACM, 2017. http://dx.doi.org/10.1145/3029798.3038333.

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