Human-Robot Interaction
Abstract
4 Prominent Research Challenges 3 4.1 Multi-Modal Perception . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 4.2 Design and Human Factors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 4.3 Developmental/Epigenetic Robotics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 4.4 Social, Service, and Assistive Robotics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 4.5 Educational Robotics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
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Delay as small as 30 ms may degrade performance in human-machine control applications.
“In [19], it was shown that delay as small as 30 ms may degrade performance in human-machine control applications.”
From Estimation of physiological tremor from accelerometers for real-time applications (2011) · cites this paper as [19]
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Stone, M., & DeCarlo, D. (2004) · IEEE International Conference on Program Comprehension (ICPC) · doi:10.1109/casa.2003.1199298 · Cited by 14 · see citing works
A Cognitive Model for the Representation and Processing of Shape-Related Gestures
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Robotics As A Tool For Immersive, Hands On Freshmen Engineering Instruction
Matarić, M. J., Fasola, J., & Feil-Seifer, D. (2020) · ASEE Annual Conference & Exposition · doi:10.18260/1-2--3137 · Cited by 8 · see citing works
Self-citationDemonstration-Based Behavior and Task Learning
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A Supportive Multimodal Mobile Robot for the Home
Baillie, L., Pucher, M., & Képesi, M. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-30111-0_32 · Cited by 6 · see citing works
Health0: a new health and lifestyle management paradigm.
Mohan, A., & Picard, R. W. (2004) · PubMed · Cited by 4 · see citing works
Flagged first, then by citations
1 of the 117 references couldn’t be matched to a known paper.
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Characterizing Task-Based Human–Robot Collaboration Safety in Manufacturing
Marvel, J. A., Falco, J., & Marstio, I. (2014) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2014.2337275 · Cited by 138 · see citing works
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Are you ready for robot services? Exploring robot-service adoption behaviors of hotel-goers
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Multistep Prediction of Physiological Tremor for Surgical Robotics Applications
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Chan, A. H. S., & Chan, K. W. L. (2006) · Applied Ergonomics · doi:10.1016/j.apergo.2005.06.006 · Cited by 44 · see citing works
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A whole body kinesthetic display device for virtual reality applications
Roston, G. P., & Peurach, T. M. (2002) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.1997.606744 · Cited by 40 · see citing works
Social Robotics, Education, and Religion in the Islamic World: An Iranian Perspective
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Human-Robot Mutual Trust in (Semi)autonomous Underwater Robots
Wang, Y., Shi, Z., Wang, C., & Zhang, F. (2014) · Studies in computational intelligence · doi:10.1007/978-3-642-55029-4_6 · Cited by 31 · see citing works
Methodology of safety for a human robot interaction designing stage
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Werner, C., Kardaris, N., Koutras, P., Zlatintsi, A., Maragos, P. A., Bauer, J. M., & Hauer, K. A. (2019) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2019.103996 · Cited by 28 · see citing works
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IMU Motion Capture Method with Adaptive Tremor Attenuation in Teleoperation Robot System
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Switching Between Collaboration Levels in a Human–Robot Target Recognition System
Tkach, I., Bechar, A., & Edan, Y. (2011) · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · doi:10.1109/tsmcc.2011.2119480 · Cited by 21 · see citing works
Mital, A., Motorwala, A., Kulkarni, M., Sinclair, M., & Siemieniuch, C. (1994) · International Journal of Industrial Ergonomics · doi:10.1016/0169-8141(94)90004-3 · Cited by 19 · see citing works
Human-robot-computer interaction: a new paradigm of research in robotics
Anzai, Y. (1993) · Advanced Robotics · doi:10.1163/156855394x00158 · Cited by 17 · see citing works
Zhai, S., & Senders, J. W. (1997) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1071181397041002117 · Cited by 15 · see citing works
Virtual Environments as Human-Computer Interfaces
Ellis, S. R., Begault, D. R., & Wenzel, E. M. (1997) · Elsevier eBooks · doi:10.1016/b978-044481862-1.50074-1 · Cited by 14 · see citing works
Interdisciplinary design of skill‐based computer‐aided technologies: Interfacing in depth
Kldd, P. T. (1992) · International Journal of Human Factors in Manufacturing · doi:10.1002/hfm.4530020304 · Cited by 13 · see citing works
Participatory function allocation in manufacturing
Kleiner, B. M., & Shewchuk, J. P. (2001) · Human Factors and Ergonomics in Manufacturing & Service Industries · doi:10.1002/hfm.1010 · Cited by 12 · see citing works
Ergonomics considerations and management action in the implementation of industrial robots
Das, B. (2001) · Human Factors and Ergonomics in Manufacturing & Service Industries · doi:10.1002/hfm.1014 · Cited by 8 · see citing works
A novel teaching and training system for industrial applications based on augmented reality
Young, K., Cheng, S., Ko, C.-H., Su, Y.-H., & Liu, Q.-F. (2020) · Journal of the Chinese Institute of Engineers · doi:10.1080/02533839.2020.1819428 · Cited by 7 · see citing works
Personal Perspective: Critical human factors contributions in modern manufacturing
Wilson, J. R. (1991) · International Journal of Human Factors in Manufacturing · doi:10.1002/hfm.4530010307 · Cited by 7 · see citing works
Human-robot interface architecture for distributed environments
Nakauchi, Y., Kawasugi, K., Okada, T., Yamasaki, N., & Anzai, Y. (2003) · IEEE RO-MAN · doi:10.1109/roman.1992.253851 · Cited by 7 · see citing works
Sensory integration in a neural network‐based robot safety system
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Robot Assistants In Education of Children with Autism: Interaction Between The Robot and The Child
Yaman, Y., & Şişman, B. (2019) · Erzincan Üniversitesi Eğitim Fakültesi Dergisi · doi:10.17556/erziefd.472009 · Cited by 5 · see citing works
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A Robot Maker for Health Sector
Prakash, O. (2022) · Springer proceedings in business and economics · doi:10.1007/978-981-16-7818-9_15 · Cited by 4 · see citing works
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JGestion strategique des nouvelles technologies et prevention d'accidents
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Control Methods in the Systems “Operator-Remote Manipulator”
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The Matrix of Confusion—a Classification of Robot Movement
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A Precursory Look at Potential Interaction Objectives Affecting Flexible Robotic Cell Safety
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Myoelectric control and assessment of teleoperated robot devices
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Arm gesture transmission for virtual reality telecommunication system
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Whole body kinesthetic displays for immersive virtual reality applications
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Arm and hand imitation for virtual reality telecommunication using robotics
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Are We Ready to Investigate Robots? Issues and Challenges Involved in Robotic Forensics
Patel, Y., & Rughani, P. H. (2024) · Lecture notes in electrical engineering · doi:10.1007/978-981-97-2839-8_18
Issues and Concerns for Human–Robot Interaction
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Chapter 9 Virtual Environments: New Media for Spatial Information
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- Authors
- Feil-Seifer, D., & Matarić, M. J.
- Venue
- CRC Press eBooks
- Publisher
- CRC Press
- Published
- 1992-01-30
- OpenAlex
- W231035755
- Cited by
- 57
- References
- 117
- Citations by year
- 2024: 3 · 2022: 3 · 2020: 5 · 2019: 2 · 2018: 2 · 2017: 2 · 2014: 2 · 2013: 3
- Type
- reference entry
- Language
- en
- Open access
- closed
- Locations
- CRC Press eBooks (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Engineering › Control and Systems Engineering › Robotics and Automated Systems
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Keywords
- human-robot interaction, research challenges, multisensory perception, human factors, developmental robotics, epigenetic robotics, social robotics, service robotics, assistive robotics, educational robotics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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