Managing workload in human–robot interaction: A review of empirical studies

2010 ◽  
Vol 26 (5) ◽  
pp. 840-856 ◽  
Author(s):  
Matthew S. Prewett ◽  
Ryan C. Johnson ◽  
Kristin N. Saboe ◽  
Linda R. Elliott ◽  
Michael D. Coovert
2018 ◽  
Vol 9 (1) ◽  
pp. 323-336 ◽  
Author(s):  
Jessica M. Szczuka ◽  
Nicole C. Krämer

Abstract While first empirical studies on sexual aspects of human-robot interaction mostly focus on male users’ acceptance, there is no empirical research on how females react to robotic replications of women. To empirically investigate whether robots can evoke the same kind of jealousy-related discomfort as do other women, we conducted an online study in which 848 heterosexual female participants from Germany reacted to the idea that their partner had sexual intercourse with either another woman, a human-like female-looking robot, or a machinelike female-looking robot. The results revealed dimensions in which the jealousy-related discomfort was higher for female competitors compared to the robotic ones (e.g., discomfort caused by the idea of sexual intercourse),whereas in others the robots evoked the same or higher levels of jealousy-related discomfort (e.g., discomfort caused by feelings of inadequacy, discomfort caused by shared emotional and time resources). The variance in the discomfort regarding sexual interactions between one’s partner and robotic competitors could not be explained by personal characteristics (such as self-esteem, subjective physical attractiveness) but rather by technology-related variables (e.g., negative attitude towards robots, a tendency towards anthropomorphism) and the attitude towards sexual nonexclusivity in relationships. The study provides first empirical insights into a question which is of relevance for a responsible handling of sexualized technologies.


2021 ◽  
Vol 51 ◽  
pp. 165-187
Author(s):  
Aleksandra Wasielewska ◽  
Paweł Łupkowski

This paper presents an overview of empirical studies concerning human attitudes towards robots. We start with explaining what attitudes towards robots are. It is followed by the overview of the aforementioned studies which is organized according to the factors related to the attitudes. These are human-related factors (sex, age, education, nationality, culture, belief in human nature uniqueness, religiousness), robot-related ones (external look, its purpose) and factors which arise from the human-robot interaction (earlier experiences with robots, interactions, designing robots).


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

2010 ◽  
Author(s):  
Eleanore Edson ◽  
Judith Lytle ◽  
Thomas McKenna

2020 ◽  
Author(s):  
Agnieszka Wykowska ◽  
Jairo Pérez-Osorio ◽  
Stefan Kopp

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.


2019 ◽  
Author(s):  
Cinzia Di Dio ◽  
Federico Manzi ◽  
Giulia Peretti ◽  
Angelo Cangelosi ◽  
Paul L. Harris ◽  
...  

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.


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