Paper Type
Complete
Description
While robots appear to be more and more human-like in form and function, they are still machines. People can hence perceive them as humans or machines. With varying human-like designs and user perceptions, there is much confusion about how to measure trust in human-robot relationships. While some researchers use human-like trusting beliefs to conceptualize trust, others use machine-like trusting beliefs to do the same. In this paper, we present a conceptual model and related research propositions to help researchers determine the correct conceptualization of trust for human-robot interaction. We propose that anthropomorphism, or perceptions of humanness about the robot, can dictate the conceptualization of trust in human-robot relationships.
Paper Number
1769
Recommended Citation
Bhatti, Samia Cornelius and Robert, Lionel Peter, "Human, Machine, or Hybrid? Using Anthropomorphism to Conceptualize Trust in Robots" (2023). AMCIS 2023 Proceedings. 17.
https://aisel.aisnet.org/amcis2023/conf_theme/conf_theme/17
Human, Machine, or Hybrid? Using Anthropomorphism to Conceptualize Trust in Robots
While robots appear to be more and more human-like in form and function, they are still machines. People can hence perceive them as humans or machines. With varying human-like designs and user perceptions, there is much confusion about how to measure trust in human-robot relationships. While some researchers use human-like trusting beliefs to conceptualize trust, others use machine-like trusting beliefs to do the same. In this paper, we present a conceptual model and related research propositions to help researchers determine the correct conceptualization of trust for human-robot interaction. We propose that anthropomorphism, or perceptions of humanness about the robot, can dictate the conceptualization of trust in human-robot relationships.
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Conference Theme