A Model of Human-Robot Trust: Theoretical Model Development

Sanders, Tracy; Oleson, Kristin E.; Billings, D.R.; Chen, Jessie Y. C.; Hancock, P. A.

doi:10.1037/e578902012-307

Cited by 24 publications

(38 citation statements)

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“…In human-robot trust, a model developed by Sanders et al 2011 (Figure 2) identified the main overall components that contribute to trust: human characteristics (e.g., personality), robot characteristics (e.g., ability,), environmental characteristics (e.g., type of task, communication), training, and design [10,11]. This is a general model that was built off a review of human-robot trust research [11].…”

Section: Human-robot Trustmentioning

confidence: 99%

“…Author Manuscript human-human trust are the characteristics of the trustor (e.g., personality), characteristics of the trustee (e.g., ability) [7] and the context of the relationship (e.g., nurse-client) [5]. In human-robot literature, we know that the characteristics of the trustor, characteristics of the robot, and the environment all contribute to trust [10].…”

Section: Author Manuscriptmentioning

confidence: 99%

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Understanding Older Adult's Perceptions of Factors that Support Trust in Human and Robot Care Providers

Stuck

Rogers

2017

Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments

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As the population of older adults increase so will the need for care providers, both human and robot. Trust is a key aspect to establish and maintain a successful older adult-care provider relationship. However, due to trust volatility it is essential to understand it within specific contexts. This proposed mixed methods study will explore what dimensions of trust emerge as important within the human-human and human-robot dyads in older adults and care providers. First, this study will help identify key qualities that support trust in a care provider relationship. By understanding what older adults perceive as needing to trust humans and robots for various care tasks, we can begin to provide recommendations based on user expectations for design to support trust.

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Section: Human-robot Trustmentioning

confidence: 99%

Section: Author Manuscriptmentioning

confidence: 99%

Understanding Older Adult's Perceptions of Factors that Support Trust in Human and Robot Care Providers

Stuck

Rogers

2017

Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments

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“…With the increase of robots in workplace and the home, research has also focused on trust specifically in robots. A model of trust was developed by Sanders et al [11] that identified the main components that contribute to humanrobot team trust. These included the characteristics of the person, the characteristics of the robot, the environmental characteristics, and the training and design implications.…”

Section: Introductionmentioning

confidence: 99%

“…These included the characteristics of the person, the characteristics of the robot, the environmental characteristics, and the training and design implications. The person's characteristics included aspects such as personality, self-confidence, general attitude towards robots, and knowledge of the robot [11,12]. The qualities of the robot included elements related to the robot's performance such as the reliability and predictability [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

“…The person's characteristics included aspects such as personality, self-confidence, general attitude towards robots, and knowledge of the robot [11,12]. The qualities of the robot included elements related to the robot's performance such as the reliability and predictability [11][12][13]. Other qualities included the proximity of the robot to the human, type of robot, and the appearance of the robot [12,13].…”

Section: Introductionmentioning

confidence: 99%

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Older Adults’ Perceptions of Supporting Factors of Trust in a Robot Care Provider

Stuck

Rogers

2018

Journal of Robotics

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The older adult population is increasing worldwide, leading to an increased need for care providers. An insufficient number of professional caregivers will lead to a demand for robot care providers to mitigate this need. Trust is an essential element for older adults and robot care providers to work effectively. Trust is context dependent. Therefore, we need to understand what older adults would need to trust robot care providers, in this specific home-care context. This mixed methods study explored what older adults, who currently receive assistance from caregivers, perceive as supporting trust in robot care providers within four common home-care tasks: bathing, transferring, medication assistance, and household tasks. Older adults reported three main dimensions that support trust: professional skills, personal traits, and communication. Each of these had subthemes including those identified in prior human-robot trust literature such as ability, reliability, and safety. In addition, new dimensions perceived to impact trust emerged such as the robot’s benevolence, the material of the robot, and the companionability of the robot. The results from this study demonstrate that the older adult-robot care provider context has unique dimensions related to trust that should be considered when designing robots for home-care tasks.

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Why Do You Trust Siri?: The Factors Affecting Trustworthiness of Intelligent Personal Assistant

Huang

2021

Proceedings of the Association for Information Science and Tech

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Trust greatly contributes to human-AI collaboration, however, human's trust to IPA is hard to establish and lacks exploration. The purpose of this paper is to recognize the factors that affect the trustworthiness of IPA. 358 questionnaires were analyzed by PLS-SEM to construct the model, while thematic analysis was used to discover expectance of IPA. Chi-square tests and T-test were used to distinguish the difference between two user groups. Three factors that capability of system, personality of agent, and availability of interface have a significant impact on the trustworthiness of IPA. The capability of system is the most essential as the threshold with users' plenty of expectations. Most users pay less attention to the availability of interface and the personality of agent has a great impact on the trustworthiness of IPA. The factors found enrich the trusted AI research and inspire insights of design of IPA.

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A Model of Human-Robot Trust: Theoretical Model Development

Cited by 24 publications

References 0 publications

Understanding Older Adult's Perceptions of Factors that Support Trust in Human and Robot Care Providers

Understanding Older Adult's Perceptions of Factors that Support Trust in Human and Robot Care Providers

Older Adults’ Perceptions of Supporting Factors of Trust in a Robot Care Provider

Why Do You Trust Siri?: The Factors Affecting Trustworthiness of Intelligent Personal Assistant

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