Can You Trust Your Robot?

Hancock, Peter A.; Billings, Deborah R.; Schaefer, Kristin E.

doi:10.1177/1064804611415045

Cited by 123 publications

(90 citation statements)

References 14 publications

(30 reference statements)

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“…On this foundation, trust in a robot describes the attitude of a person to be willing to be vulnerable to the actions of the robot based on the expectation that it will perform a particular action important to the user, irrespective of the ability to monitor or to intervene [13]. Being able to interpret the robot's intentions thereby plays an important role in the development of trust [1]. This suggests that trust is also closely related to the presence or absence of predictability.…”

Section: B Trust In Human-robot-interactionmentioning

confidence: 99%

“…Movement cues have the potential to give human coworkers insights into robot intention, which can improve human performance in terms of time to completion (TTC) [16] and improve trust [1]. To achieve this, the motion needs to be predictable.…”

Section: Movement Cuesmentioning

confidence: 99%

“…Humans are increasingly surrounded with moving autonomous systems and robots [1]. When humans and robots share a common space, robot motion should be designed with human needs in mind.…”

Section: Introductionmentioning

confidence: 99%

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Dominance and movement cues of robot motion: A user study on trust and predictability

Reinhardt¹,

Pereira

Beckert

et al. 2017

2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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Abstract-We investigate the effect of dominant and submissive movement strategies and a movement cue in a human-robot cooperation scenario on perceived predictability and trust. Four different movement strategies in proximal cooperation between a robot manipulator and a human participant were tested in an experiment in which participants had to arrange small objects in a shared workspace working on the same product as the robot. The features of the robot motion were characterized by dominance or a movement cue. The robot modifies its motion in two ways resulting in four different movement strategies: either it stops when the human is in danger of collision (submissive) or not (dominant), and either it performs a backing-off movement cue or not. The participants evaluated the movement strategies in terms of trust and predictability in a questionnaire. We found that the submissive backing-off movement strategy significantly enhanced the users' trust compared to the dominant movement strategy without movement cue. Other strategies showed no significant differences in trust or predictability.

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Section: B Trust In Human-robot-interactionmentioning

confidence: 99%

Section: Movement Cuesmentioning

confidence: 99%

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Dominance and movement cues of robot motion: A user study on trust and predictability

Reinhardt¹,

Pereira

Beckert

et al. 2017

2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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show abstract

“…A wide variety of factors can influence the degree of trust a human has for a robot teammate. One such factor is transparency: To engender trust, the motivation behind a robot's behavior should be transparent and easily understandable (Hancock, Billings, & Schaefer, 2011). If robot-robot communication is enacted silently, the motivation behind robot actions may be unclear, leading to distrust.…”

Section: Human Perceptions Of Covert Robot Communicationmentioning

confidence: 99%

“…If robot-robot communication is enacted silently, the motivation behind robot actions may be unclear, leading to distrust. Another factor influencing human-robot trust is similarity of mental models; to engender trust, teammates should endeavor to create and share mental models (Hancock et al, 2011;Neerincx, 2007). If robot-robot communication is enacted silently, human teammates may not be able to appropriately update their mental models.…”

Section: Human Perceptions Of Covert Robot Communicationmentioning

confidence: 99%

Covert Robot-Robot Communication: Human Perceptions and Implications for HRI

Williams

Briggs

Scheutz

2015

Journal of Human-Robot Interaction

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As future human-robot teams are envisioned for a variety of application domains, researchers have begun to investigate how humans and robots can communicate effectively and naturally in the context of human-robot team tasks. While a growing body of work is focused on human-robot communication and human perceptions thereof, there is currently little work on human perceptions of robot-robot communication. Understanding how robots should communicate information to each other in the presence of human teammates is an important open question for human-robot teaming. In this paper, we present two human-robot interaction (HRI) experiments investigating the human perception of verbal and silent robotrobot communication as part of a human-robot team task. The results suggest that silent communication of task-dependent, human-understandable information among robots is perceived as creepy by cooperative, co-located human teammates. Hence, we propose that, absent specific evidence to the contrary, robots in cooperative human-robot team settings need to be sensitive to human expectations about overt communication, and we encourage future work to investigate possible ways to modulate such expectations.

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How Do We Handle Computer‐Based Technology? What Is the Cost/Benefit Ratio of Technology for Workers?

Zijlstra¹,

Nyssen²

2017

An Introduction to Work and Organizational Psychology

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OVERVIEWThis chapter focuses on the question of how to deal with technology. Technology has changed our life, it has changed how we communicate with each other, and how we work, and also when and where we work. It is important to understand how and why it has changed our life, and what kind of consequences this has. Technology may affect our (mental) health and well-being. In this chapter we present an overview of factors that need to be taken into account when designing technology. First, a historic perspective is presented in order to understand the development of technology in the work context. Technology at work is generally believed to help us, but this is not always the case. Technology can also make work complex; it can also lead to health problems, in particular when wrong decisions are made while designing technology. A core issue is to what extent people are still in control of technology. The main question is to understand how individuals are affected by technology at work, and know how technology should be handled. IntroductionA work situation without computer-based technologies is unthinkable nowadays. The term computer-based technology applies not only to Information and Communication Technology (ICT), such as email and the internet, but includes all kinds of artefacts that people use. The range of applications varies from 'simple' technology such as personal computers, or infusion pumps that are used to administer medicines, to large-scale automated systems in advanced sociotechnical systems such as cockpits in commercial jets, control rooms in nuclear power plants, or to perform robotic surgery. In general, people will agree that technology can have great advantages in terms of increased production, accuracy of work and safety. For instance, air traffic would not be possible on the present scale without technology. On the other hand, technology has also changed the nature of work for those people who have to use these systems; it has made work much more complex and has created new types of health problems. Whereas originally musculoskeletal problems due to a static working posture received most attention, nowadays the focus is more on psychological health issues, like frustration and anger when the technology does not 'behave' as expected, and also mental fatigue, boredom, or stress are currently important issues. This raises a number of important questions: How do individuals handle these issues?What are the options for dealing with, or avoiding, these problems? What are the advantages and disadvantages of technology for organizations and for the individual? What is the cost/benefit

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Can You Trust Your Robot?

Cited by 123 publications

References 14 publications

Dominance and movement cues of robot motion: A user study on trust and predictability

Dominance and movement cues of robot motion: A user study on trust and predictability

Covert Robot-Robot Communication: Human Perceptions and Implications for HRI

How Do We Handle Computer‐Based Technology? What Is the Cost/Benefit Ratio of Technology for Workers?

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