What is expected of social robots in terms of trust?
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Social robots are expected to foster trust in human-robot interaction by exhibiting specific behaviors. Research suggests that active empathic listening behavior in social robots significantly enhances trust perception, particularly in affective trust, compared to nonactive listening. Additionally, factors such as situation awareness demonstrated by robots can lead to a perception of benevolence and increased trust in interactions. Furthermore, the human-likeness of a robot's motion and the valence of feedback provided play crucial roles in modulating trust, with the presence of feedback and human-like behavior positively influencing trust levels. These findings emphasize the importance of designing social robots with active listening, situation awareness, and human-like behaviors to enhance trust in various fields like education, healthcare, and business.
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03 Nov 2022 | Social robots are expected to exhibit human-like feedback gestures to enhance trust in Human-Robot Interaction, as observed in the study, emphasizing the importance of non-verbal communication behaviors for trust development. |
| Social robots are expected to exhibit active empathic listening behavior to enhance trust perception in human-robot interactions, particularly in affective trust, according to the study. | |
| Social robots are expected to exhibit human-like feedback gestures to positively influence trust in Human-Robot Interaction, enhancing non-verbal communicative behaviors for building trust in collaborative settings. | |
20 Apr 2023 | Social robots are expected to regulate trust through proficiency, situation awareness, transparency, trust violation, and trust repair to enhance human-robot interaction and perceived benevolence. |
| Social robots are expected to regulate trust through proficiency, situation awareness, transparency, violation, and repair mechanisms, influencing trust levels in human-robot interactions, as per the study findings. |
Related Questions
What are humans expectations of social robots behavior?5 answersHumans have varying expectations of social robots' behavior depending on the context of interaction. Research indicates that expectations are dynamic and can change over time in human-robot interaction scenarios. Socially intelligent robots are expected to fulfill both functional and affective roles, serving as companions and assisting in daily tasks to enhance quality of life. User expectations of social robots differ based on the application, with robots in education and healthcare expected to exhibit high sociability and competence, while those in security roles are expected to prioritize competence over sociability. Understanding and meeting these diverse expectations is crucial for the successful integration of social robots into various aspects of human life.
How can social robots improve trust?5 answersSocial robots can enhance trust through various mechanisms. Research suggests that factors like listening behavior, human-likeness of motion, feedback provision, and effective communication play crucial roles. For instance, active empathic listening behavior in social robots can significantly increase trust perception, particularly in affective trust, compared to nonactive listening. Additionally, incorporating Large Language Models (LLMs) like ChatGPT in robots can lead to improved trust in human-robot collaboration by enabling more effective communication and understanding of human nuances. Moreover, studies indicate that human trust in social robots increases when the robots exhibit human-like characteristics and provide promises, leading to heightened trust levels similar to interactions with real humans. These findings underscore the importance of designing social robots with empathic behaviors, effective communication skills, and human-like attributes to foster trust in human-robot interactions across various domains.
Do elderly perceive social robots as trustworthy?5 answersElderly individuals generally perceive social robots as trustworthy. Studies have shown that older adults exhibit a high level of trust in robots, especially when receiving health-related advice. Factors such as the robot's reliability, anthropomorphism, and benevolence play crucial roles in establishing trust. Older adults have positive first impressions of telehealth robots and express a high level of trust in them, particularly when controlled by healthcare providers. Additionally, older adults tend to trust robots regardless of the type of advice received, indicating a protective role of robot-based recommendations on their trust. Overall, the findings suggest that elderly individuals are open to using social robots for various tasks, including healthcare support, highlighting a willingness to embrace robots in their homes or health facilities.
What do elderly expect of social robots in terms of trust?5 answersElderly individuals have varying expectations of social robots in terms of trust. Research indicates that seniors generally show positive perceptions towards care robots, accepting them for secondary care tasks while prioritizing human involvement in primary care. Additionally, studies reveal that after interacting with social robots, elderly participants perceived the robots as significantly more useful, highlighting a decrease in anxiety towards the robots. Furthermore, when presented with different robot options, seniors expressed a preference for robots like Pepper due to their communication skills, ability to evoke pleasant memories, and provide emotional support, thus entrusting them with welfare duties for elders. These findings suggest that elderly individuals expect social robots to be dependable, supportive, and capable of enhancing their overall well-being and quality of life.
What features influence user's trust in human-robot interaction?5 answersUser trust in human-robot interaction is influenced by various features. The implementation of agent features, such as presentation of a disclaimer message, a request for more information, or no additional feature, can mediate user decision making and trust in-task. The non-verbal cues of humanoid robots, including textual and gestural information, can characterize different personality traits and significantly affect user intentions to interact with the robot. The human-likeness of a robot's motion and the valence of the feedback it provides also play a role in modulating trust. Humans tend to trust robots more when they show social feedback and human-like behavior, while distrust occurs when there is no social feedback or human-like behavior. Additionally, the level of proactive robot behavior, specifically socially-adaptive proactivity, influences users' trust and acceptance towards the robot, with adaptive proactivity leading to higher perceived competence and reliability.
How does social trust affect the adoption of new technologies?4 answersSocial trust plays a crucial role in the adoption of new technologies. It facilitates the spread of information and the development of trust among potential adopters. The structure of social networks is important in this process. The number of channels through which information flows is important for information diffusion, while redundancy and recurrent confirmation of the innovation's success are necessary for developing appreciation for its advantages. Trust is further developed through repeated interactions within close social circles. Social trust also affects university technology transfer by improving university-industry cooperative innovation. Additionally, social trust perception influences trust in technology and platform-based trust in the sharing economy, with cultural orientation impacting trust formation. In the adoption of renewable energy technology, social networks contribute to both information diffusion and social influence, with trusted network members spreading information and government officials exercising social influence. Trust, perceived usefulness, and shared values are instrumental in the adoption of internet-based voting, with trust playing a central role in building perceived usefulness.