A Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction

By Peter A. Hancock, D. Billings, Kristin E. Schaefer, Jessie Y.C. Chen, Ewart de Visser, Raja Parasuraman. 2011

1,942 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Social Psychology

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Citations in the corpus

Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, neutral): “…2009; Doshi-Velez and Kim, 2017; Dzindolet, Peterson, Pomranky, Pierce, and Beck, 2003; Dzindolet, Pierce, Pomranky, Peterson, and Beck, 2001; Hancock et al., 2011; Hoffman, Klein, and Miller, 2011; Hoffman, 2017a; Jian, Bisantz, and Drury, 1998, 2000; Johnson, 2007; Koustanai, Mas, Cavallo,…”
M‐payment service: Interplay of perceived risk, benefit, and trust in service adoption (2018, background): “Therefore, trust is a crucial dimension in maintaining effective relationships of automations (Hancock et al., 2011).”
A Systematic Review of Attitudes, Anxiety, Acceptance, and Trust Towards Social Robots (2020, background): “The present review focuses on social robots, due to their increasing use in various settings such as healthcare, enter-tainment, and customer service [6–8].”
When stereotypes meet robots: The double-edge sword of robot gender and personality in human-robot interaction (2014, background): “A plausible explanation for this non-significant result is that trust between a human and a robot could be deeply rooted in cognitive functions, such as the performances of the robot (Hancock et al., 2011).”
What Makes Users Trust a Chatbot for Customer Service? An Exploratory Interview Study (2018, background): “For example, in a review article on trust in robots, Hancock et al. [12] identified a range of factors determining such trust grouped in human-related, robot-related, and environmental factors.”
Overtrust of robots in emergency evacuation scenarios (2016, background): “Hancock et al. performed a meta-analysis over the existing human-robot trust literature identifying 11 relevant research articles and found that, for these papers, robot performance is most strongly associated with trust [7].”
Trust in AI and Its Role in the Acceptance of AI Technologies (2022, background): “However, other studies have reported weak or no effects of anthropomorphism on trust (Erebak & Turgut, 2019; Hancock et al., 2011).”
Towards Explainable Shared Control using Augmented Reality (2019, background): “There is a plethora of research on how to complement an operator’s abilities and instill trust in the interaction [13].”
Towards a Theory of Longitudinal Trust Calibration in Human–Robot Teams (2019, background): “Previous research on trust in HRTs has primarily focused on identifying initial trust states and potential determinants [9,53,126].”
The Next Generation of Research on IS Use: A Theoretical Framework of Delegation to and from Agentic IS Artifacts (2021, background): “Trust associated with the delegation process may also drive preference construction (Hancock et al. 2011) as well as confidence in the process (Lee and Moray 1994) and expectations of costs that might be incurred (Castelfranchi and Falcone 1998; Miller and Parasuraman 2007; Steffel and Williams…”
Interactions With Robots: The Truths We Reveal About Ourselves (2017, background): “Robot attributes, such as personality and anthropomorphism, still had significant but smaller effects on trust (Hancock et al. 2011).”
Would You Trust a (Faulty) Robot? Effects of Error, Task Type and Personality on Human-Robot Cooperation and Trust (2015, background): “For example, in all three areas both underreliance and overreliance caused by inappropriate levels of trust can result in dissatisfying human-machine interaction [10].”
Survey on human–robot collaboration in industrial settings: Safety, intuitive interfaces and applications (2018, background): “To reduce mental workload and increase reliability in robotic agents, human–robot interfaces based on the principles of humancentred design and cognitive engineering can be considered [84,85].”
A Review of Intent Detection, Arbitration, and Communication Aspects of Shared Control for Physical Human-Robot Interaction (2018, background): “[69], which examined the different factors that can affect human–robot interaction, found that robotic performance has the largest and most identifiable influence on trust in HRI.”
Symbiotic human-robot collaborative assembly (2019, background): “In other words, trust affects much the decisions that humans make in uncertain or risky environments [74].”