scholarly journals Is the Social Desirability Effect in Human–Robot Interaction overestimated? A Conceptual Replication Study Indicates Less Robust Effects

2020 ◽  
Author(s):  
Benedikt Leichtmann ◽  
Verena Nitsch
Keyword(s):  
Social Desirability ◽  
Human Robot Interaction ◽  
Replication Study ◽  
Robot Interaction ◽  
The Social ◽  
Social Desirability Effect

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.

scholarly journals The social desirability effect in personality assessment of drink driving offenders

2021 ◽  
Vol 31 (Supplement_2) ◽  
Author(s):  
I S Ferreira ◽  
A Maurício ◽  
P Ferrajão
Keyword(s):  
Social Desirability ◽  
Psychological Assessment ◽  
Personality Assessment ◽  
Competent Authority ◽  
Driving Under The Influence ◽  
Three Dimensions ◽  
Eysenck Personality Questionnaire ◽  
The Social ◽  
Social Desirability Effect ◽  
Age Range

Abstract Background Driving under the influence of alcohol represents one of the main driving crimes and a risk to road safety and public health. In Portugal, if there are well-founded doubts about the psychological fitness to drive, the competent authority may determine a psychological assessment. The present study analyses the results in the Eysenck Personality Questionnaire - Revised (EPQ-R) in a sample with driving crimes under the influence of alcohol. Methods A sample of 76 male drivers (mean age around 43 years; age range = 26–60) underwent to a psychological assessment in the Mobility and Transports Institute, due to an official record of driving with a blood alcohol level of 1.2 g/l or more. The assessment included the EPQ-R, which examines three dimensions of personality - Psychoticism (P), Extroversion (E) and Neuroticism (N) and a Lie/Social Desirability scale (L). Results Drivers have committed around 3 crimes (range: 1–7) for drink driving in the past 10 years. Mean N (P < 0.001) and P (P < 0.001) scores were significantly lower, and mean L score (P < 0.001) was significantly higher compared to the Portuguese normative data of EPQ-R (783 men, ages between 16 and 60 years). Mean E score (P = 0.16) was not statistically different from the normative E score. Conclusions The social desirability (proneness for lying or faking good) had a significant influence on EPQ-R results, favouring dimensions that assess psychopathological functioning (N, P). Although this questionnaire is an objective method to assess personality in different normative contexts, its suitability has proved to be limited in drink driving offenders.

scholarly journals Enactivism and Robotic Language Acquisition: A Report from the Frontier

Philosophies ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 11 ◽  
Author(s):  
Frank Förster
Keyword(s):  
Language Acquisition ◽  
Scientific Investigation ◽  
Human Robot Interaction ◽  
Sense Making ◽  
Robot Interaction ◽  
Design Decisions ◽  
Potential Value ◽  
The Social ◽  
Architecture And Design

In this article, I assess an existing language acquisition architecture, which was deployed in linguistically unconstrained human–robot interaction, together with experimental design decisions with regard to their enactivist credentials. Despite initial scepticism with respect to enactivism’s applicability to the social domain, the introduction of the notion of participatory sense-making in the more recent enactive literature extends the framework’s reach to encompass this domain. With some exceptions, both our architecture and form of experimentation appear to be largely compatible with enactivist tenets. I analyse the architecture and design decisions along the five enactivist core themes of autonomy, embodiment, emergence, sense-making, and experience, and discuss the role of affect due to its central role within our acquisition experiments. In conclusion, I join some enactivists in demanding that interaction is taken seriously as an irreducible and independent subject of scientific investigation, and go further by hypothesising its potential value to machine learning.

scholarly journals The Fundamental Attribution Error in Human-Robot Interaction: An Experimental Investigation on Attributing Responsibility to a Social Robot for Its Pre-Programmed Behavior

2022 ◽  
Author(s):  
Aike C. Horstmann ◽  
Nicole C. Krämer
Keyword(s):  
Experimental Investigation ◽  
Attribution Theory ◽  
Social Robots ◽  
Social Robot ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Fundamental Attribution Error ◽  
Online Study ◽  
The Social ◽  
Attribution Error

AbstractSince social robots are rapidly advancing and thus increasingly entering people’s everyday environments, interactions with robots also progress. For these interactions to be designed and executed successfully, this study considers insights of attribution theory to explore the circumstances under which people attribute responsibility for the robot’s actions to the robot. In an experimental online study with a 2 × 2 × 2 between-subjects design (N = 394), people read a vignette describing the social robot Pepper either as an assistant or a competitor and its feedback, which was either positive or negative during a subsequently executed quiz, to be generated autonomously by the robot or to be pre-programmed by programmers. Results showed that feedback believed to be autonomous leads to more attributed agency, responsibility, and competence to the robot than feedback believed to be pre-programmed. Moreover, the more agency is ascribed to the robot, the better the evaluation of its sociability and the interaction with it. However, only the valence of the feedback affects the evaluation of the robot’s sociability and the interaction with it directly, which points to the occurrence of a fundamental attribution error.

scholarly journals I–C–E Framework: Concepts for Group Dynamics Research in Human-Robot Interaction

2020 ◽  
Vol 12 (6) ◽  
pp. 1213-1229
Author(s):  
Anna M. H. Abrams ◽  
Astrid M. Rosenthal-von der Pütten
Keyword(s):  
Social Sciences ◽  
Group Dynamics ◽  
Theoretical Foundation ◽  
Human Robot Interaction ◽  
Future Research ◽  
Robot Interaction ◽  
The Past ◽  
Social Settings ◽  
The Social ◽  
Near Future

AbstractThe research community of human-robot interaction relies on theories and phenomena from the social sciences in order to study and validate robotic developments in interaction. These studies mainly concerned one (human) on one (robot) interactions in the past. The present paper shifts the attention to groups and group dynamics and reviews relevant concepts from the social sciences: ingroup identification (I), cohesion (C) and entitativity (E). Ubiquitous robots will be part of larger social settings in the near future. A conceptual framework, the I–C–E framework, is proposed as a theoretical foundation for group (dynamics) research in HRI. Additionally, we present methods and possible measures for these relevant concepts and outline topics for future research.

scholarly journals A Taxonomy of Social Errors in Human-Robot Interaction

2021 ◽  
Vol 10 (2) ◽  
pp. 1-32
Author(s):  
Leimin Tian ◽  
Sharon Oviatt
Keyword(s):  
Social Relationship ◽  
Human Robot Interaction ◽  
Social Emotional ◽  
Robot Interaction ◽  
Systematic Analysis ◽  
Emotional Dimension ◽  
The Social ◽  
In The Wild ◽  
Open Question ◽  
The Impact

Robotic applications have entered various aspects of our lives, such as health care and educational services. In such Human-robot Interaction (HRI), trust and mutual adaption are established and maintained through a positive social relationship between a user and a robot. This social relationship relies on the perceived competence of a robot on the social-emotional dimension. However, because of technical limitations and user heterogeneity, current HRI is far from error-free, especially when a system leaves controlled lab environments and is applied to in-the-wild conditions. Errors in HRI may either degrade a user’s perception of a robot’s capability in achieving a task (defined as performance errors in this work) or degrade a user’s perception of a robot’s socio-affective competence (defined as social errors in this work). The impact of these errors and effective strategies to handle such an impact remains an open question. We focus on social errors in HRI in this work. In particular, we identify the major attributes of perceived socio-affective competence by reviewing human social interaction studies and HRI error studies. This motivates us to propose a taxonomy of social errors in HRI. We then discuss the impact of social errors situated in three representative HRI scenarios. This article provides foundations for a systematic analysis of the social-emotional dimension of HRI. The proposed taxonomy of social errors encourages the development of user-centered HRI systems, designed to offer positive and adaptive interaction experiences and improved interaction outcomes.

scholarly journals A Preliminary Study on the Response of Autistic Persons to a Robot Feedback based on Visual Stimuli

2013 ◽  
Vol 4 (2) ◽  
Author(s):  
Jaeryoung Lee ◽  
Goro Obinata ◽  
Dimitar Stefanov ◽  
Chikara Nagai
Keyword(s):  
Visual Stimuli ◽  
Experimental System ◽  
Human Robot Interaction ◽  
Visual Response ◽  
Robot Interaction ◽  
Assistive Robots ◽  
Social Communication Skills ◽  
Autistic People ◽  
The Social ◽  
Series Of Experiments

AbstractInteractive robots are seen as an efficient tool for the improvement of the social communication skills of autistic children. Recent studies show that the effectiveness of the human-robot interaction can be improved further if the robot can provide positive feedback to the child when he/she demonstrates behaviour or social skills as expected. However, there is no clear answer to which visual stimuli and which combination of visual stimuli could attract better attention. In this paper we present initial results from our study of the response of participants with autism traits to four visual stimuli. We conducted a series of experiments where the experimental system provided a visual response to the user’s actions and monitored the user’s performance for each visual stimulus. The experiments were organised as a game and included four groups of participants with different levels of autism. The results showed that a colour tended to be the most effective way for robot interaction with autistic people. The results could help the design of very effective assistive robots for supporting people with autism.

Design for a Robotic Companion

2015 ◽  
Vol 12 (01) ◽  
pp. 1550007 ◽  
Author(s):  
Jan Kędzierski ◽  
Paweł Kaczmarek ◽  
Michał Dziergwa ◽  
Krzysztof Tchoń
Keyword(s):  
Social Robot ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
University Of Technology ◽  
The Social ◽  
Trial Testing ◽  
History Of ◽  
Human Attitude ◽  
Emotional System ◽  
And Control

We can learn from the history of robotics that robots are getting closer to humans, both in the physical as well as in the social sense. The development line of robotics is marked with the triad: industrial — assistive — social robots, that leads from human–robot separation toward human–robot interaction. A social robot is a robot able to act autonomously and to interact with humans using social cues. A social robot that can assist a human for a longer period of time is called a robotic companion. This paper is devoted to the design and control issues of such a robotic companion, with reference to the robot FLASH designed at the Wroclaw University of Technology within the European project LIREC, and currently developed by the authors. Two HRI experiments with FLASH demonstrate the human attitude toward FLASH. A trial testing of the robot's emotional system is described.

scholarly journals Personalization and Localization in Human-Robot Interaction: A Review of Technical Methods

Robotics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 120
Author(s):  
Mehdi Hellou ◽  
Norina Gasteiger ◽  
Jong Yoon Lim ◽  
Minsu Jang ◽  
Ho Seok Ahn
Keyword(s):  
Artificial Intelligence ◽  
Current Literature ◽  
State Of The Art ◽  
Social Robots ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Social Conventions ◽  
Verbal Skills ◽  
Education Industry ◽  
The Social

Personalization and localization are important when developing social robots for different sectors, including education, industry, healthcare or restaurants. This allows for an adjustment of robot behaviors according to the needs, preferences or personality of an individual when referring to personalization or to the social conventions or the culture of a country when referring to localization. However, there are different models that enable personalization and localization presented in the current literature, each with their advantages and drawbacks. This work aims to help researchers in the field of social robotics by reviewing and analyzing different papers in this domain. We specifically focus our review by exploring different robots that employ distinct models for the adaptation of the robot to its environment. Additionally, we study an array of methods used to adapt the nonverbal and verbal skills of social robots, including state-of-the-art techniques in artificial intelligence.

scholarly journals Precuneus Brain Response Changes Differently During Human-Robot and Human-Human Dyadic Social Interaction

2021 ◽  
Author(s):  
Nicolas Spatola ◽  
Thierry Chaminade
Keyword(s):  
Social Cognition ◽  
Cognitive Processes ◽  
Social Engagement ◽  
Brain Activity ◽  
Posterior Cingulate Cortex ◽  
Human Robot Interaction ◽  
Brain Response ◽  
Robot Interaction ◽  
The Social ◽  
Crucial Parameter

Abstract Human-human and human-robot interaction are often compared with the overarching question of the differences in terms of cognitive processes engaged and what can explain these differences. However, research addressing this topic, especially in neuro-imagery, use extremely artificial interaction settings. Also, they neglect a crucial parameter of human social cognition: interaction is an adaptive (rather than fixed) process. Building upon the first fMRI paradigm requiring participants to interact online with both a human and a robot in a dyadic setting, we investigate the differences and changes of brain activity during the two type of interactions in a whole brain analysis. Our results show that, grounding on a common default level, the activity in specific neural regions associated with social cognition (e.g. Posterior Cingulate Cortex) increase in HHI while remaining stable in HRI. We discuss these results regarding the iterative process of deepening the social engagement facing humans but not robots.

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