Specifying Influences that Mediate Trust in Human-Robot Interaction

2016 ◽  
Vol 60 (1) ◽  
pp. 1755-1759 ◽  
Author(s):  
W.G. Volante ◽  
T. Sanders ◽  
D. Dodge ◽  
V.A. Yerdon ◽  
P.A. Hancock
Keyword(s):  
Human Robot Interaction ◽  
Robot Interaction ◽  
Robot Appearance ◽  
Experimental Trials

In this work we investigate the effects of robot appearance and reliability on a user’s trust levels through an experiment where participants reacted to three different robot forms that either behaved reliably or unreliably during a series of experimental trials. A final trial was implemented to evaluate use choice by allowing participants to choose their preferred robot and complete an additional trial with that robot. Results from this pilot experimentation indicated differences based on the reliability of the robot, as well as whether the participant chose to interact with the robot.

What Does A Robot Look Like?: A Multi-Site Examination of User Expectations About Robot Appearance

2017 ◽  
Vol 61 (1) ◽  
pp. 1215-1219 ◽  
Author(s):  
Elizabeth Phillips ◽  
Daniel Ullman ◽  
Maartje M. A. de Graaf ◽  
Bertram F. Malle
Keyword(s):  
A Priori ◽  
Human Robot Interaction ◽  
Exploratory Analysis ◽  
Robot Design ◽  
Application Domain ◽  
Critical Component ◽  
Robot Interaction ◽  
Common Features ◽  
User Expectations ◽  
Robot Appearance

Robot design is a critical component of human-robot interaction. A robot’s appearance shapes people’s expectations of that robot, which in turn affect human-robot interaction. This paper reports on an exploratory analysis of 155 drawings of robots that were collected across three studies. The purpose was to gain a better understanding of people’s a priori expectations about the appearance of robots across a variety of robot types (household, military, humanoid, generic, and AI). The findings suggest that people’s visualizations of robots have common features that can be grouped into five broad components. People seem to distinguish between human-like and machine-like robots, with a default visualization of robots having a human-like appearance. In addition, expectations about robot appearance may be dependent on application domain.

How People Talk with Robots: Designing Dialog to Reduce User Uncertainty

AI Magazine ◽  
2011 ◽  
Vol 32 (4) ◽  
pp. 31-38 ◽  
Author(s):  
Kerstin Fischer
Keyword(s):  
Human Robot Interaction ◽  
Robot Interaction ◽  
Joint Task ◽  
Linguistic Cues ◽  
User Expectations ◽  
Robot Appearance ◽  
The Impact

If human-robot interaction is mainly shaped by users’ strategies to deal with their unfamiliar artificial com¬munication partner, as it is suggested here, robot dialog design should orient at reducing users’ uncertainty about the affordances of the robot and the joint task. Two experiments are presented that investigate the impact of verbal robot utterances on users’ behavior; results show that users react sensitively to subtle linguistic cues that may guide them into appropriate understandings of the robot. Furthermore, the role of user expectations and robot appearance are discussed in the light of the model presented.

Workload in Human-Robot Interaction: A Review of Manipulations and Outcomes

2009 ◽  
Author(s):  
Matthew S. Prewett ◽  
Kristin N. Saboe ◽  
Ryan C. Johnson ◽  
Michael D. Coovert ◽  
Linda R. Elliott
Keyword(s):  
Human Robot Interaction ◽  
Robot Interaction

Biomimetic, sociable robots for human-robot interaction

2010 ◽  
Author(s):  
Eleanore Edson ◽  
Judith Lytle ◽  
Thomas McKenna
Keyword(s):  
Human Robot Interaction ◽  
Robot Interaction

The role and relationship of mindreading and social attunement in HRI – position statements of interdisciplinary researchers. Workshop HRI'20

2020 ◽  
Author(s):  
Agnieszka Wykowska ◽  
Jairo Pérez-Osorio ◽  
Stefan Kopp
Keyword(s):  
Mental States ◽  
Human Robot Interaction ◽  
Human Interaction ◽  
Artificial Agents ◽  
The Novel ◽  
Robot Interaction ◽  
Novel Coronavirus ◽  
Relationship Of ◽  
The Relationship

This booklet is a collection of the position statements accepted for the HRI’20 conference workshop “Social Cognition for HRI: Exploring the relationship between mindreading and social attunement in human-robot interaction” (Wykowska, Perez-Osorio & Kopp, 2020). Unfortunately, due to the rapid unfolding of the novel coronavirus at the beginning of the present year, the conference and consequently our workshop, were canceled. On the light of these events, we decided to put together the positions statements accepted for the workshop. The contributions collected in these pages highlight the role of attribution of mental states to artificial agents in human-robot interaction, and precisely the quality and presence of social attunement mechanisms that are known to make human interaction smooth, efficient, and robust. These papers also accentuate the importance of the multidisciplinary approach to advance the understanding of the factors and the consequences of social interactions with artificial agents.

Shall I trust you? From child human-robot interaction to trusting relationships

2019 ◽  
Author(s):  
Cinzia Di Dio ◽  
Federico Manzi ◽  
Giulia Peretti ◽  
Angelo Cangelosi ◽  
Paul L. Harris ◽  
...  
Keyword(s):  
Behavioral Pattern ◽  
Human Robot Interaction ◽  
School Age Children ◽  
Social Relevance ◽  
Robot Interaction ◽  
Cognitive Correlates ◽  
The Social ◽  
The Relationship

Studying trust within human-robot interaction is of great importance given the social relevance of robotic agents in a variety of contexts. We investigated the acquisition, loss and restoration of trust when preschool and school-age children played with either a human or a humanoid robot in-vivo. The relationship between trust and the quality of attachment relationships, Theory of Mind, and executive function skills was also investigated. No differences were found in children’s trust in the play-partner as a function of agency (human or robot). Nevertheless, 3-years-olds showed a trend toward trusting the human more than the robot, while 7-years-olds displayed the reverse behavioral pattern, thus highlighting the developing interplay between affective and cognitive correlates of trust.

Sign in / Sign up

Export Citation Format

Share Document