Relevant bibliographies by topics / Human Robot Interaction (HRI)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Human Robot Interaction (HRI)'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Human Robot Interaction (HRI)"

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Arora, Anshu Saxena, Mayumi Fleming, Amit Arora, Vas Taras, and Jiajun Xu. "Finding “H” in HRI." International Journal of Intelligent Information Technologies 17, no. 1 (2021): 19–38. http://dx.doi.org/10.4018/ijiit.2021010102.

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The study examines the relationship between the big five personality traits (extroversion, agreeableness, conscientiousness, neuroticism, and openness) and robot likeability and successful HRI implementation in varying human-robot interaction (HRI) situations. Further, this research investigates the influence of human-like attributes in robots (a.k.a. robotic anthropomorphism) on the likeability of robots. The research found that robotic anthropomorphism positively influences the relationship between human personality variables (e.g., extraversion and agreeableness) and robot likeability in hu
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Vallverdú, Jordi, Toyoaki Nishida, Yoshisama Ohmoto, Stuart Moran, and Sarah Lázare. "Fake Empathy and Human-Robot Interaction (HRI)." International Journal of Technology and Human Interaction 14, no. 1 (2018): 44–59. http://dx.doi.org/10.4018/ijthi.2018010103.

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Empathy is a basic emotion trigger for human beings, especially while regulating social relationships and behaviour. The main challenge of this paper is study whether people's empathic reactions towards robots change depending on previous information given to human about the robot before the interaction. The use of false data about robot skills creates different levels of what we call ‘fake empathy'. This study performs an experiment in WOZ environment in which different subjects (n=17) interacting with the same robot while they believe that the robot is a different robot, up to three versions
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Dautenhahn, Kerstin. "Socially intelligent robots: dimensions of human–robot interaction." Philosophical Transactions of the Royal Society B: Biological Sciences 362, no. 1480 (2007): 679–704. http://dx.doi.org/10.1098/rstb.2006.2004.

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Social intelligence in robots has a quite recent history in artificial intelligence and robotics. However, it has become increasingly apparent that social and interactive skills are necessary requirements in many application areas and contexts where robots need to interact and collaborate with other robots or humans. Research on human–robot interaction (HRI) poses many challenges regarding the nature of interactivity and ‘social behaviour’ in robot and humans. The first part of this paper addresses dimensions of HRI, discussing requirements on social skills for robots and introducing the conce
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Zhao, Mengyao. "Emotion Recognition in Psychology of Human-robot Interaction." Psychomachina 1 (November 21, 2023): 1–11. http://dx.doi.org/10.59388/pm00331.

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The field of Human-Robot Interaction (HRI) has garnered significant attention in recent years, with researchers and practitioners seeking to understand the psychological aspects underlying the interactions between humans and robots. One crucial area of focus within HRI is the psychology of emotion recognition, which plays a fundamental role in shaping the dynamics of human-robot interaction. This paper provides an overview of the background of psychology in the context of human-robot interaction, emphasizing the significance of understanding human emotions in this domain. The concept of emotio
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Collins, Emily C. "Drawing parallels in human–other interactions: a trans-disciplinary approach to developing human–robot interaction methodologies." Philosophical Transactions of the Royal Society B: Biological Sciences 374, no. 1771 (2019): 20180433. http://dx.doi.org/10.1098/rstb.2018.0433.

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This opinion paper discusses how human–robot interaction (HRI) methodologies can be robustly developed by drawing on insights from fields outside of HRI that explore human–other interactions. The paper presents a framework that draws parallels between HRIs, and human–human, human–animal and human–object interaction literature, by considering the morphology and use of a robot to aid the development of robust HRI methodologies. The paper then briefly presents some novel empirical work as proof of concept to exemplify how the framework can help researchers define the mechanism of effect taking pl
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Warta, Samantha F., Katelynn A. Kapalo, Andrew Best, and Stephen M. Fiore. "Similarity, Complementarity, and Agency in HRI." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (2016): 1230–34. http://dx.doi.org/10.1177/1541931213601287.

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Robotic teammates are becoming prevalent in increasingly complex and dynamic operational and social settings. For this reason, the perception of robots operating in such environments has transitioned from the perception of robots as tools, extending human capabilities, to the perception of robots as teammates, collaborating with humans and displaying complex social cognitive processes. The goal of this paper is to introduce a discussion on an integrated set of robotic design elements, as well as provide support for the idea that human-robot interaction requires a clearer understanding of socia
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Lee, Heejin. "A Human-Robot Interaction Entertainment Pet Robot." Journal of Korean Institute of Intelligent Systems 24, no. 2 (2014): 179–85. http://dx.doi.org/10.5391/jkiis.2014.24.2.179.

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Bonarini, Andrea. "Communication in Human-Robot Interaction." Current Robotics Reports 1, no. 4 (2020): 279–85. http://dx.doi.org/10.1007/s43154-020-00026-1.

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Abstract Purpose of Review To present the multi-faceted aspects of communication between robot and humans (HRI), putting in evidence that it is not limited to language-based interaction, but it includes all aspects that are relevant in communication among physical beings, exploiting all the available sensor channels. Recent Findings For specific purposes, machine learning algorithms could be exploited when data sets and appropriate algorithms are available. Summary Together with linguistic aspects, physical aspects play an important role in HRI and make the difference with respect to the more
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Su, Wei Hua, Jing Gong Sun, Fu Niu, and Xin Yue Xu. "The Human-Robot Interaction: An Investigation of Rescue Robot." Advanced Materials Research 711 (June 2013): 523–28. http://dx.doi.org/10.4028/www.scientific.net/amr.711.523.

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The thesis research aimed to further the study of human-robot interaction (HRI) issues, especially regarding the development of rescue robot. The paper firstly discussed the status of the rescue robot and described the framework of human-robot interaction of search-rescue robot and rescue-evacuation robot. Subsequently, the general HRI issues will be discussed to explain how they affect the use of robots. Finally, we present suggested this multidisciplinary field of research, namely human-robot interaction, requires contributions from a variety of research fields such as robotics, human-comput
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Kim, Sehoon. "Working With Robots: Human Resource Development Considerations in Human–Robot Interaction." Human Resource Development Review 21, no. 1 (2022): 48–74. http://dx.doi.org/10.1177/15344843211068810.

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Advancements in robotic technology have accelerated the adoption of collaborative robots in the workplace. The role of humans is not reduced, but robotic technology requires different high-level responsibilities in human–robot interaction (HRI). Based on a human-centered perspective, this literature review is to explore current knowledge on HRI through the lens of HRD and propose the roles of HRD in this realm. The review identifies HRD considerations that help implement effective HRI in three human-centered domains: human capabilities, collaboration configuration, and attributes related to co
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Dissertations / Theses on the topic "Human Robot Interaction (HRI)"

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Hüttenrauch, Helge. "From HCI to HRI : Designing Interaction for a Service Robot." Doctoral thesis, KTH, Numerisk Analys och Datalogi, NADA, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4255.

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Service robots are mobile, embodied artefacts that operate in co presence with their users. This is a challenge for human-robot interaction (HRI) design. The robot’s interfaces must support users in understanding the system’s current state and possible next actions. One aspect in the design for such interaction is to understand users’ preferences and expectations by involving them in the design process. This thesis takes a user-centered design (UCD) perspective and tries to understand the different user roles that exist in service robotics in order to consider possible design implications. Ano
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Wang, Yan. "Gendering Human-Robot Interaction: exploring how a person's gender impacts attitudes toward and interaction with robots." Association for Computing Machinery, 2014. http://hdl.handle.net/1993/24446.

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Developing an improved understanding and awareness of how gender impacts perceptions of robots and interactions with them is crucial for the ongoing advancement of the human-robot interaction (HRI) field, as a lack of awareness of gender issues increases the risk of robot rejection and poor performance. This thesis provides a theoretical grounding for gender-studies in HRI, and contributes to the understanding of how gender affects attitudes toward and interaction with robots via the findings from an on-line survey and a laboratory user study. We envision that this work will provide HRI design
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Toris, Russell C. "Bringing Human-Robot Interaction Studies Online via the Robot Management System." Digital WPI, 2013. https://digitalcommons.wpi.edu/etd-theses/1058.

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"Human-Robot Interaction (HRI) is a rapidly expanding field of study that focuses on allowing non-roboticist users to naturally and effectively interact with robots. The importance of conducting extensive user studies has become a fundamental component of HRI research; however, due to the nature of robotics research, such studies often become expensive, time consuming, and limited to constrained demographics. This work presents the Robot Management System, a novel framework for bringing robotic experiments to the web. A detailed description of the open source system, an outline of new security
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Pai, Abhishek. "Distance-Scaled Human-Robot Interaction with Hybrid Cameras." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563872095430977.

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Ponsler, Brett. "Recognizing Engagement Behaviors in Human-Robot Interaction." Digital WPI, 2011. https://digitalcommons.wpi.edu/etd-theses/109.

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Based on analysis of human-human interactions, we have developed an initial model of engagement for human-robot interaction which includes the concept of connection events, consisting of: directed gaze, mutual facial gaze, conversational adjacency pairs, and backchannels. We implemented the model in the open source Robot Operating System and conducted a human-robot interaction experiment to evaluate it.
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Juri, Michael J. "Design and Implementation of a Modular Human-Robot Interaction Framework." DigitalCommons@CalPoly, 2021. https://digitalcommons.calpoly.edu/theses/2327.

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With the increasing longevity that accompanies advances in medical technology comes a host of other age-related disabilities. Among these are neuro-degenerative diseases such as Alzheimer's disease, Parkinson's disease, and stroke, which significantly reduce the motor and cognitive ability of affected individuals. As these diseases become more prevalent, there is a need for further research and innovation in the field of motor rehabilitation therapy to accommodate these individuals in a cost-effective manner. In recent years, the implementation of social agents has been proposed to alleviate t
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Syrdal, Dag Sverre. "The impact of social expectation towards robots on human-robot interactions." Thesis, University of Hertfordshire, 2018. http://hdl.handle.net/2299/20962.

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This work is presented in defence of the thesis that it is possible to measure the social expectations and perceptions that humans have of robots in an explicit and succinct manner, and these measures are related to how humans interact with, and evaluate, these robots. There are many ways of understanding how humans may respond to, or reason about, robots as social actors, but the approach that was adopted within this body of work was one which focused on interaction-specific expectations, rather than expectations regarding the true nature of the robot. These expectations were investigated usi
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Holroyd, Aaron. "Generating Engagement Behaviors in Human-Robot Interaction." Digital WPI, 2011. https://digitalcommons.wpi.edu/etd-theses/328.

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Based on a study of the engagement process between humans, I have developed models for four types of connection events involving gesture and speech: directed gaze, mutual facial gaze, adjacency pairs and backchannels. I have developed and validated a reusable Robot Operating System (ROS) module that supports engagement between a human and a humanoid robot by generating appropriate connection events. The module implements policies for adding gaze and pointing gestures to referring phrases (including deictic and anaphoric references), performing end-of-turn gazes, responding to human-initiated
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Michalland, Arthur-Henri. "Main et Cognition : les relations bi-directionnelles entre processus cognitifs et motricité manuelle." Thesis, Montpellier 3, 2019. http://www.theses.fr/2019MON30012.

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La thèse que nous soutenons ici est que le sens haptique influence les processus cognitifs humains. Nous nous sommes intéressés aux processus mnésiques, perceptifs et moteurs, en nous appuyant sur deux notions utilisées dans les théories computationnelles et incarnées du contrôle moteur : la récurrence des patterns sensorimoteurs et l’anticipation sensorielle qui en découle. Notre premier axe de recherche étudiait les relations entre l’anticipation de propriétés haptiques d’un geste, la reconnaissance d’objets et la sélection d’une saisie. Le second axe s’intéressait au lien entre l’anticipati
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Chadalavada, Ravi Teja. "Human Robot Interaction for Autonomous Systems in Industrial Environments." Thesis, Chalmers University of Technology, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-55277.

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The upcoming new generation of autonomous vehicles for transporting materials in industrial environments will be more versatile, flexible and efficient than traditional Automatic Guided Vehicles (AGV), which simply follow pre-defined paths. However, freely navigating vehicles can appear unpredictable to human workers and thus cause stress and render joint use of the available space inefficient. This work addresses the problem of providing information regarding a service robot’s intention to humans co-populating the environment. The overall goal is to make humans feel safer and more comfortable
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Books on the topic "Human Robot Interaction (HRI)"

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SIGCHI (Group : U.S.) and SIGART, eds. HRI 2006: Proceedings of the 2006 ACM Conference on Human-Robot Interaction : March 2-4, 2006, Salt Lake City, Utah, USA : toward human robot collaboration. ACM Press, 2006.

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Jost, Céline, Brigitte Le Pévédic, Tony Belpaeme, et al., eds. Human-Robot Interaction. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42307-0.

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Mansour, Rahimi, and Karwowski Waldemar 1953-, eds. Human-robot interaction. Taylor & Francis, 1992.

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Zhou, Huiying, Geng Yang, Baicun Wang, and Na Dong. Revitalizing Human-Robot Interaction. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-6139-8.

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Prassler, Erwin, Gisbert Lawitzky, Andreas Stopp, et al., eds. Advances in Human-Robot Interaction. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b97960.

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Goodrich, Michael A. Human-robot interaction: A survey. Now Publishers, 2007.

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Xing, Bo, and Tshilidzi Marwala. Smart Maintenance for Human–Robot Interaction. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-67480-3.

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Ayanoğlu, Hande, and Emília Duarte, eds. Emotional Design in Human-Robot Interaction. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-96722-6.

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Dautenhahn, Kerstin, and Joe Saunders, eds. New Frontiers in Human–Robot Interaction. John Benjamins Publishing Company, 2011. http://dx.doi.org/10.1075/ais.2.

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Wang, Xiangyu, ed. Mixed Reality and Human-Robot Interaction. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0582-1.

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Book chapters on the topic "Human Robot Interaction (HRI)"

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Fiorini, Sandro Rama, Abdelghani Chibani, Tamás Haidegger, et al. "Standard Ontologies and HRI." In Human–Robot Interaction. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781315213781-3.

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Kim, M., K. Oh, J. Choi, J. Jung, and Y. Kim. "User-Centered HRI: HRI Research Methodology for Designers." In Mixed Reality and Human-Robot Interaction. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0582-1_2.

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Feil-Seifer, David, and Maja J. Matarić. "Human RobotHuman–robot interaction (HRI) InteractionInteraction human robot." In Encyclopedia of Complexity and Systems Science. Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-30440-3_274.

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Bekele, Esubalew, and Nilanjan Sarkar. "Psychophysiological Feedback for Adaptive Human–Robot Interaction (HRI)." In Human–Computer Interaction Series. Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6392-3_7.

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Pekarek Rosin, Theresa, Vanessa Hassouna, Xiaowen Sun, et al. "A Framework for Adapting Human-Robot Interaction to Diverse User Groups." In Lecture Notes in Computer Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3525-2_3.

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Abstract To facilitate natural and intuitive interactions with diverse user groups in real-world settings, social robots must be capable of addressing the varying requirements and expectations of these groups while adapting their behavior based on user feedback. While previous research often focuses on specific demographics, we present a novel framework for adaptive Human-Robot Interaction (HRI) that tailors interactions to different user groups and enables individual users to modulate interactions through both minor and major interruptions. Our primary contributions include the development of
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Bu, Fanjun, and Wendy Ju. "SSUP-HRI: Social Signaling in Urban Public Human-Robot Interaction Dataset." In Lecture Notes in Computer Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3525-2_40.

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Sienkiewicz, Barbara, and Bipin Indurkhya. "Equanimity in HRI: Applying Calm Technology Principles to Human-Robot Interaction." In Lecture Notes in Computer Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3525-2_41.

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Dutta, Vibekananda, and Teresa Zielinska. "Predicting the Intention of Human Activities for Real-Time Human-Robot Interaction (HRI)." In Social Robotics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47437-3_71.

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Hwang, Jung-Hoon, Kang-Woo Lee, and Dong-Soo Kwon. "Three Way Relationship of Human-Robot Interaction." In Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73110-8_34.

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Hong, Seok-ju, Nurul Arif Setiawan, and Chil-woo Lee. "Multiple People Gesture Recognition for Human-Robot Interaction." In Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73110-8_68.

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Conference papers on the topic "Human Robot Interaction (HRI)"

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Torre, Ilaria, Sarah Schömbs, Katie Winkle, et al. "Sustainability-4-HRI, HRI-4-Sustainability." In 2025 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 2025. https://doi.org/10.1109/hri61500.2025.10974249.

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Akalin, Neziha, Maria Arnelid, and Katherine Harrison. "Gendering Robots in Human-Robot Interaction: An Interdisciplinary Approach." In 2025 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 2025. https://doi.org/10.1109/hri61500.2025.10974049.

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Ong, Kai Wei, Gerald Seet, Siang Kok Sim, et al. "A Testbed for Human-Robot Interactions." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57171.

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This paper describes the design and implementation of a testbed for facilitating the study of human-robot interactions (HRI). HRI has long been a part of robotics research, where humans were typically required to guide the robot task in progress and to ensure safe operation. The current state of human interaction with robots, versus simple “machines” (e.g. in manufacturing automation) is quite different. This called for the need to look into different interaction roles between humans and robots. Robots differ from simple machines in that they are mobile, some may be autonomous and hence not as
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Jaffer, Anum, Sara Ali, Fahad Iqbal Khawaja, Yasar Ayaz, Muhammad Sajid, and Umer Asgher. "Personality Prediction in Human-Robot-Interaction (HRI)." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001601.

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For an efficient and smooth human-robot interaction, communication protocols such as verbal and non-verbal communication, emotions, and personality plays an important role. Human-Robot-Interaction is an emerging field and robots are now a part of daily life where it can grasp both verbal and non-verbal cues. Personality prediction is an important research area in Human-Robot Interaction (HRI). Several important question in personality prediction includes: which personality traits will be important and which specific phycology model and robot do researchers use? Secondly, how emotions, facial e
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St-Onge, David, Nicolas Reeves, and Nataliya Petkova. "Robot-Human Interaction." In HRI '17: ACM/IEEE International Conference on Human-Robot Interaction. ACM, 2017. http://dx.doi.org/10.1145/3029798.3034785.

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Misaki, Daigo, and Kazuma Shirakawa. "Enhancing Emergency Response: A Reliability Analysis of Human-Robot Collaboration." In 2024 AHFE International Conference on Human Factors in Design, Engineering, and Computing (AHFE 2024 Hawaii Edition). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005646.

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The adoption of robots in daily life, such as service robots, is progressing and necessitates that humans make informed decisions when interacting with them. However, the relationships between humans and robots, particularly in emergencies, are not as developed as human-to-human relationships. A lack of understanding about robots often leads to significant accidents. To facilitate effective and appropriate collaboration, the analysis of human-robot interaction (HRI) is essential. This study focuses on analyzing "reliability," which is particularly crucial in the healthcare and training fields.
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Solis, Jorge, Anders Stengaard Sorensen, and Gitte Rasmussen. "Bodily Human Robot Interaction." In 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 2019. http://dx.doi.org/10.1109/hri.2019.8673132.

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Ahn, Ho Seok, JongSuk Choi, Hyungpil Moon, Minsu Jang, Sonya S. Kwak, and Yoonseob Lim. "Social Human-Robot Interaction of Human-Care Service Robots." In 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 2019. http://dx.doi.org/10.1109/hri.2019.8673282.

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"Realizing Human-Robot Interaction in Industrial Robotics: Perspectives from Research to Industry Implementation." In International Conference on Cutting-Edge Developments in Engineering Technology and Science. ICCDETS, 2024. http://dx.doi.org/10.62919/hcgw1283.

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This paper explores the progression of human-robot interaction (HRI) in industrial robotics from academic research to practical industry implementation. By evaluating the current state and advancements in HRI, the study underscores the integration challenges and the potential solutions that facilitate effective collaborations between humans and robots in industrial settings. Through a systematic review of recent academic literature, patents, and industrial case studies, we identify key technological innovations and interaction paradigms that have shaped the field. Our analysis reveals that saf
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Sciutti, Alessandra, Katrin Lohan, and Yukie Nagai. "HRI." In HRI'14: ACM/IEEE International Conference on Human-Robot Interaction. ACM, 2014. http://dx.doi.org/10.1145/2559636.2560024.

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Reports on the topic "Human Robot Interaction (HRI)"

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Bagchi, Shelly, Murat Aksu, Megan Zimmerman, et al. Workshop Report: Test Methods and Metrics for Effective HRI in Collaborative Human-Robot Teams, ACM/IEEE Human-Robot Interaction Conference, 2019. National Institute of Standards and Technology, 2020. http://dx.doi.org/10.6028/nist.ir.8339.

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Bagchi, Shelly, Jeremy A. Marvel, Megan Zimmerman, et al. Workshop Report: Test Methods and Metrics for Effective HRI in Real-World Human-Robot Teams, ACM/IEEE Human-Robot Interaction Conference, 2020 (Virtual). National Institute of Standards and Technology, 2021. http://dx.doi.org/10.6028/nist.ir.8345.

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Bagchi, Shelly, Jeremy A. Marvel, Megan Zimmerman, et al. Workshop Report: Novel and Emerging Test Methods and Metrics for Effective HRI, ACM/IEEE Conference on Human-Robot Interaction, 2021. National Institute of Standards and Technology, 2022. http://dx.doi.org/10.6028/nist.ir.8417.

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Arkin, Ronald C., and Lilia Moshkina. Affect in Human-Robot Interaction. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada593747.

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Martinson, E., and W. Lawson. Learning Speaker Recognition Models through Human-Robot Interaction. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada550036.

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Manring, Levi H., John Monroe Pederson, and Dillon Gabriel Potts. Improving Human-Robot Interaction and Control Through Augmented Reality. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1467198.

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Jiang, Shu, and Ronald C. Arkin. Mixed-Initiative Human-Robot Interaction: Definition, Taxonomy, and Survey. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada620347.

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Scholtz, Jean, Jeff Young, Holly A. Yanco, and Jill L. Drury. Evaluation of Human-Robot Interaction Awareness in Search and Rescue. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada456128.

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9

Pereira, Ângela, Ana Pinto, Carla Carvalho, and Jean-Christophe Giger. Stress in Human-Robot Interaction in an Industrial Context: a systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2025. https://doi.org/10.37766/inplasy2025.1.0042.

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10

Schaefer, Kristin E., Deborah R. Billings, James L. Szalma, et al. A Meta-Analysis of Factors Influencing the Development of Trust in Automation: Implications for Human-Robot Interaction. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada607926.

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