scholarly journals Promises and partnership in human-robot interaction

2021 ◽  
Author(s):  
Lorenzo Cominelli ◽  
Francesco Feri ◽  
Roberto Garofolo ◽  
Caterina GIANNETTI ◽  
Miguel A.MELENDEZ-JIMENEZ ◽  
...  
Keyword(s):  
Electrodermal Activity ◽  
Social Robot ◽  
Human Robot Interaction ◽  
Trust Game ◽  
Emotional States ◽  
Human Beings ◽  
Robot Interaction ◽  
Intelligent Machines ◽  
The Social ◽  
Psychophysiological Arousal

Abstract Understanding human trust in machine partners has become imperative due to the widespread use of intelligent machines in a variety of applications and contexts. The aim of this paper is to investigate whether human-beings trust a social robot - i.e. a human-like robot that embodies emotional states, empathy, and non-verbal communication - differently than other types of agents. To do so, we adapt the well-known economic trust-game proposed by Charness and Dufwenberg (2006) to assess whether receiving a promise from a robot increases human-trust in it. We find that receiving a promise from the robot increases the trust of the human in it, but only for individuals who perceive the robot very similar to a human-being. Importantly, we observe a similar pattern in choices when we replace the humanoid counterpart with a real human but not when it is replaced by a computer-box. Additionally, we investigate participants' psychophysiological reaction in terms of cardiovascular and electrodermal activity. Our results highlight an increased psychophysiological arousal when the game is played with the social robot compared to the computer-box. Taken all together, these results strongly support the development of technologies enhancing the humanity of robots.

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.

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.

Special Issue on Human Robot Interaction

2002 ◽  
Vol 14 (5) ◽  
pp. 431-431
Author(s):  
Yasushi Nakauchi
Keyword(s):  
Computer Science ◽  
User Interfaces ◽  
Daily Life ◽  
Living Environment ◽  
Human Robot Interaction ◽  
Human Beings ◽  
Special Issue ◽  
Robot Interaction ◽  
Future Directions ◽  
The Social

Recent advances in robotics are disseminating robots into the social living environment as humanoids, pets, and caregivers. Novel human-robot interaction techniques and interfaces must be developed, however, to ensure that such robots interact as expected in daily life and work. Unlike conventional personal computers, such robots may assume a variety of configurations, such as industrial, wheel-based, ambulatory, remotely operated, autonomous, and wearable. They may also implement different communications modalities, including voice, video, haptics, and gestures. All of these aspects require that research on human-robot interaction become interdisciplinary, combining research from such fields as robotics, ergonomics, computer science and, psychology. In the field of computer science, new directions in human-computer interaction are emerging as post graphical user interfaces (GUIs). These include wearable, ubiquitous, and real-world computing. Such advances are thereby bridging the gap between robotics and computer science. The open-ended problems that potentially face include the following: What is the most desirable type of interaction between human beings and robots? What sort of technology will enable these interactions? How will human beings accept robots in their daily life and work? We are certain that readers of this special issue will be able to find many of the answers and become open to future directions concerning these problems. Any information that readers find herein will be a great pleasure to its editors.

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 Bender – A General-Purpose Social Robot with Human-Robot Interaction Abilities

2013 ◽  
Vol 1 (2) ◽  
Author(s):  
Javier Ruiz-del-Solar ◽  
Mauricio Correa ◽  
Rodrigo Verschae ◽  
Fernando Bernuy ◽  
Patricio Loncomilla ◽  
...  
Keyword(s):  
General Purpose ◽  
Social Robot ◽  
Human Robot Interaction ◽  
Robot Interaction

User experience research on social robot application

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wei-Feng Tung ◽  
Jaileez Jara Santiago Campos
Keyword(s):  
User Experience ◽  
System Development ◽  
Social Robot ◽  
Human Robot Interaction ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Fast Detection ◽  
Eeg Data ◽  
The Social ◽  
Intelligent Process

PurposeSocial robot, a subtype of robots that is designed for the various interactive services for human, which must deliver superior user experience (UX) by expressing human-like social behavior or service and emotional sensitivity. This study develops a social robot app called the “Music Buddy” in ASUS Zenbo that provides a situational music based on the users' electroencephalogram (EEG) data. The research uses this app to explore its UX criteria and the prioritization of human robot interaction (HRI).Design/methodology/approachThe research methodologies include the both system development and decision analysis for the social robot. The first part is to design and develop a social robot app. The second part is to investigate the criteria of HRI through the Analytic Hierarchy Process (AHP) from UX aspects.FindingsIn view of the results of the AHP, the first-layer criteria consist of personalized function, easy-to-use the system and intelligent process. In terms of prioritization of multi-criteria, the overall ranking discloses the nine criteria in order including autonomy for robot, easy-to-use EEG device, accurate music preference, simple operations for brainwave device and easy-to-use applications, active music recommendation, automatic updates of music and easy-to-use robot as well as fast detection for emotion.Originality/valueThis research includes a self-developed social robot app and its UX research using AHP. This paper contributes to the improvement and innovation of the social robot design according to the results of UX research on HRI of social robot.

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.

Fake Empathy and Human-Robot Interaction (HRI)

2020 ◽  
pp. 1556-1572
Author(s):  
Jordi Vallverdú ◽  
Toyoaki Nishida ◽  
Yoshisama Ohmoto ◽  
Stuart Moran ◽  
Sarah Lázare
Keyword(s):  
Social Relationships ◽  
Human Robot Interaction ◽  
Basic Emotion ◽  
Human Beings ◽  
Robot Interaction ◽  
Video Recordings ◽  
Main Challenge ◽  
Positive Results ◽  
Different Levels

Empathy is a basic emotion trigger for human beings, especially while regulating social relationships and behaviour. The main challenge of this paper is study whether people's empathic reactions towards robots change depending on previous information given to human about the robot before the interaction. The use of false data about robot skills creates different levels of what we call ‘fake empathy'. This study performs an experiment in WOZ environment in which different subjects (n=17) interacting with the same robot while they believe that the robot is a different robot, up to three versions. Each robot scenario provides a different ‘humanoid' description, and out hypothesis is that the more human-like looks the robot, the more empathically can be the human responses. Results were obtained from questionnaires and multi- angle video recordings. Positive results reinforce the strength of our hypothesis, although we recommend a new and bigger and then more robust experiment.

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