Conceptual model
Related papers: 20
About
A conceptual model in robotics and AI is an abstract, structured representation that captures the key variables, relationships, and mechanisms governing a system or phenomenon — without necessarily implementing them in code or hardware. These models serve as theoretical blueprints, drawing on established frameworks such as the Technology Acceptance Model (TAM), socio-technical systems theory, or trust models to explain how humans, robots, and organizations interact and influence one another. In robotics and AI, conceptual models are used to guide system design, predict user adoption behavior, map human-robot trust dynamics, and evaluate deployment strategies across domains including manufacturing, hospitality, logistics, and healthcare. Researchers construct these models by synthesizing prior literature, identifying relevant factors — such as perceived usefulness, safety concerns, or rapport — and proposing testable hypotheses about their relationships. Their importance lies in bridging theory and practice: before building or deploying a robotic system, conceptual models help engineers and policymakers anticipate how users will respond, what risks may arise, and which design choices matter most. They provide a shared language for interdisciplinary teams and form the foundation for empirical validation, ultimately accelerating the responsible and effective integration of intelligent systems into real-world environments.
Top Researchers
Cynthia Breazeal
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Ioannis Rekleitis
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A.Y.C. Nee
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Catholijn M. Jonker
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Sheshadri Chatterjee
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Nripendra P. Rana
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Yogesh K. Dwivedi
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Abdullah M. Baabdullah
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Joris De Schutter
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Jenay M. Beer
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Top Institutes
Top Cited Papers
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Hailian Qiu, Minglong Li, Boyang Shu, Billy Bai
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A conceptual model for the adoption of autonomous robots in supply chain and logistics industry
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Machine learning of robots in tourism and hospitality: interactive technology acceptance model (iTAM) – cutting edge
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The perils of hotel technology: The robot usage resistance model
Shixuan Fu, Xiaojiang Zheng, IpKin Anthony Wong
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Mohammad Soltani Delgosha, Nastaran Hajiheydari
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Working with service robots? A systematic literature review of hospitality employees’ perspectives
Jingjing Xu, Aaron Hsiao, Sacha Reid, Emily Ma
Citations: 111 • 2023
Construction and empirical research on acceptance model of service robots applied in hotel industry
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Effect of customer's perception on service robot acceptance
Yi Li, Chongli Wang
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Impact of AI regulation on intention to use robots
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Are Future Professionals Willing to Implement Service Robots? Attitudes of Hospitality and Tourism Students towards Service Robotization
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Investigating the Relationship between Industry 4.0 and Productivity: A Conceptual Framework for Malaysian Manufacturing Firms
Simon Karl Hubert Backhaus, Devika Nadarajah
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Modeling the Human-Robot Trust Phenomenon
Alan R. Wagner, Paul Robinette, Ayanna Howard
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Customer Attitudes Toward Robots in Travel, Tourism, and Hospitality: A Conceptual Framework
Velina Kazandzhieva, Hristina Filipova
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Carer’s perception on social assistive technology acceptance and adoption: moderating effects of perceived risks
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Citations: 45 • 2019