scholarly journals SIGVerse: A Cloud-Based VR Platform for Research on Multimodal Human-Robot Interaction

2021 ◽  
Vol 8 ◽  
Author(s):  
Tetsunari Inamura ◽  
Yoshiaki Mizuchi
Keyword(s):  
Case Studies ◽  
Social Intelligence ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Experimental Facilities ◽  
The Subject ◽  
Ease Of Access ◽  
Past Experiences ◽  
Subject Experiment ◽  
Cloud Technologies

Research on Human-Robot Interaction (HRI) requires the substantial consideration of an experimental design, as well as a significant amount of time to practice the subject experiment. Recent technology in virtual reality (VR) can potentially address these time and effort challenges. The significant advantages of VR systems for HRI are: 1) cost reduction, as experimental facilities are not required in a real environment; 2) provision of the same environmental and embodied interaction conditions to test subjects; 3) visualization of arbitrary information and situations that cannot occur in reality, such as playback of past experiences, and 4) ease of access to an immersive and natural interface for robot/avatar teleoperations. Although VR tools with their features have been applied and developed in previous HRI research, all-encompassing tools or frameworks remain unavailable. In particular, the benefits of integration with cloud computing have not been comprehensively considered. Hence, the purpose of this study is to propose a research platform that can comprehensively provide the elements required for HRI research by integrating VR and cloud technologies. To realize a flexible and reusable system, we developed a real-time bridging mechanism between the robot operating system (ROS) and Unity. To confirm the feasibility of the system in a practical HRI scenario, we applied the proposed system to three case studies, including a robot competition named RoboCup@Home. via these case studies, we validated the system’s usefulness and its potential for the development and evaluation of social intelligence via multimodal HRI.

scholarly journals Intuitive Work Assistance by Reciprocal Human-robot Interaction in the Subject Area of Direct Human-robot Collaboration

Procedia CIRP ◽  
2016 ◽  
Vol 44 ◽  
pp. 275-280 ◽  
Author(s):  
C. Thomas ◽  
L. Stankiewicz ◽  
A. Grötsch ◽  
S. Wischniewski ◽  
J. Deuse ◽  
...  
Keyword(s):  
Subject Area ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
The Subject ◽  
Human Robot Collaboration

scholarly journals Overtrusting robots: Setting a research agenda to mitigate overtrust in automation

2021 ◽  
Vol 12 (1) ◽  
pp. 423-436
Author(s):  
Alexander M. Aroyo ◽  
Jan de Bruyne ◽  
Orian Dheu ◽  
Eduard Fosch-Villaronga ◽  
Aleksei Gudkov ◽  
...  
Keyword(s):  
Research Agenda ◽  
Autonomous Systems ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
System Perspective ◽  
Conceptual Clarity ◽  
Key Points ◽  
The Subject ◽  
Common Understanding ◽  
And Robotics

Abstract There is increasing attention given to the concept of trustworthiness for artificial intelligence and robotics. However, trust is highly context-dependent, varies among cultures, and requires reflection on others’ trustworthiness, appraising whether there is enough evidence to conclude that these agents deserve to be trusted. Moreover, little research exists on what happens when too much trust is placed in robots and autonomous systems. Conceptual clarity and a shared framework for approaching overtrust are missing. In this contribution, we offer an overview of pressing topics in the context of overtrust and robots and autonomous systems. Our review mobilizes insights solicited from in-depth conversations from a multidisciplinary workshop on the subject of trust in human–robot interaction (HRI), held at a leading robotics conference in 2020. A broad range of participants brought in their expertise, allowing the formulation of a forward-looking research agenda on overtrust and automation biases in robotics and autonomous systems. Key points include the need for multidisciplinary understandings that are situated in an eco-system perspective, the consideration of adjacent concepts such as deception and anthropomorphization, a connection to ongoing legal discussions through the topic of liability, and a socially embedded understanding of overtrust in education and literacy matters. The article integrates diverse literature and provides a ground for common understanding for overtrust in the context of HRI.

scholarly journals The Curious Robot as a Case-Study for Comparing Dialog Systems

AI Magazine ◽  
2011 ◽  
Vol 32 (4) ◽  
pp. 85-99 ◽  
Author(s):  
Julia Peltason ◽  
Britta Wrede
Keyword(s):  
Case Studies ◽  
State Of The Art ◽  
Human Robot Interaction ◽  
Special Focus ◽  
Robot Interaction ◽  
Dialog Systems ◽  
Task Modeling ◽  
And Task

Modeling interaction with robots raises new and different challenges for dialog modeling than traditional dialog modeling with less embodied machines. We present four case studies of implementing a typical human-robot interaction scenario with different state-of-the-art dialog frameworks in order to identify challenges and pitfalls specific to HRI and potential solutions. The results are discussed with a special focus on the interplay between dialog and task modeling on robots.

scholarly journals Robotics facial expression of anger in collaborative human–robot interaction

2019 ◽  
Vol 16 (1) ◽  
pp. 172988141881797 ◽  
Author(s):  
Mauricio E Reyes ◽  
Ivan V Meza ◽  
Luis A Pineda
Keyword(s):  
Facial Expression ◽  
Human Action ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Cluttered Environments ◽  
Experimental Interaction ◽  
The Subject ◽  
The One ◽  
Angry Face ◽  
Digital Survey

The facial expression of angry emotion can be useful to direct the interaction between agents, especially in unclear and cluttered environments. During the presence of an angry face, a process of analysis and diagnosis is activated in the subject that notices it, which could impact its behavior toward the one who expresses the emotion. In order to study such an effect in human–robot interaction, an expressive robotics face was designed and constructed. The influence of this face on human action and attention was analyzed in two collaborative tasks. Results of a digital survey, experimental interaction, and a questionnaire indicated that anger is the best recognized universal facial expression, has a regulatory effect in human action, and induces human attention when an unclear condition arises during the task. An additional finding was that the prolonged presence of an angry face reduces its impact compared to positive expressions.

Factors Influencing Consumers’ Intention to Adopt Fashion Robot Advisors: Psychological Network Analysis

2020 ◽  
pp. 0887302X2094126
Author(s):  
So Young Song ◽  
Youn-Kyung Kim
Keyword(s):  
Network Analysis ◽  
Technology Acceptance ◽  
Social Intelligence ◽  
Online Survey ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Adoption Of Technology ◽  
Intention To Adopt ◽  
Psychological Attributes ◽  
Technology Acceptance Models

Drawing upon the theory of human–robot interaction (HRI), this study examined the relations among perceived characteristics of fashion robot advisors (FRAs), consumers’ negative preconceptions toward robots, and positive dispositions toward technology to identify network differences in adoption and nonadoption groups. For interviews, pretests, and main data collection, we presented video clips of FRAs as stimuli. Based on the data ( n = 464) collected via an online survey, we conducted psychological network analysis to explore defining factors that differentiate adoption and nonadoption groups. The results indicate that perceived characteristics of social intelligence, humanlikeness, and knowledgeableness combined with a positive disposition of technological self-efficacy lead to adoption of FRAs. This study contributes to the literature on the theory of HRI and technology acceptance models, particularly in fashion retail sectors. Furthermore, this study provides a new graphical approach to networks that conceptualizes shoppers’ adoption of technology as a complex interplay of psychological attributes.

scholarly journals The multi-variation approach

2019 ◽  
Vol 10 (1) ◽  
pp. 219-227 ◽  
Author(s):  
Cathrine Hasse
Keyword(s):  
Case Studies ◽  
Analytical Approach ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Ethnographic Studies ◽  
Variation Approach

AbstractThis article argues that a multi-variation approach can be a useful supplement to existing ethnographic studies in the field of Human-Robot Interaction (HRI). The multi-variation approach builds on classical ethnographic case studies, where a researcher studies a delimited field in a microstudy of a particular robot, its makers, users, and affected stakeholders. The approach is also inspired by multi-sited studies, where researchers move across fields, adding to the complexity of the ethnographic findings. Whereas both approaches build on analysis of microstudies, the multi-variation approach is further inspired by postphenomenology, where the main aim is to deliberately seek variation – thus again adding to the complexity of the detailed findings. Here, the multivariation approach includes several researchers studying several types of robots across sites. The analytical approach seeks patterns across this complexity – and the claim is that a multi-variation approach has a strength in findings that are systematic and consistent across cases, sites, and variations. The article gives an example of such cross-variation findings in the robot field – namely the tendency for roboticists across cases and robot types to publicly present their robots as more finished and wellfunctioning than they actually are.

The PoundCloud framework for ROS-based cloud robotics: Case studies on autonomous navigation and human-robot interaction

2021 ◽  
pp. 103981
Author(s):  
Ricardo C. Mello ◽  
Sergio D. Sierra M. ◽  
Wandercleyson M. Scheidegger ◽  
Marcela C. Múnera ◽  
Carlos A. Cifuentes ◽  
...  
Keyword(s):  
Case Studies ◽  
Autonomous Navigation ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Cloud Robotics

scholarly journals THE STUDY OF THE DISCOURSE RELATED TO THE CODE OF ROBOETHICS FOR THE HUMAN-ROBOT INTERACTION PROFESSION IN SUJOY GHOSH’S ANUKUL

2021 ◽  
Vol 9 (1) ◽  
pp. 338-343
Author(s):  
Dr. Panchali Mukherjee
Keyword(s):  
Social Structure ◽  
Philosophy Of Science ◽  
Research Paper ◽  
Human Robot Interaction ◽  
Robot Ethics ◽  
Robot Interaction ◽  
Discursive Formation ◽  
The Social ◽  
The Subject ◽  
Historically Situated

The research paper primarily studies the idea or discourse related to the code of “Robot Ethics” or “Roboethics” which governs human-robot interaction profession and is embodied in Sujoy Ghosh’s film narrative Anukul (2017). It foregrounds the theory of “discursive formations” that propounds the formulation of knowledge from discourses that pre-exist the subject’s experiences. The paper shows that the subject is not an autonomous or unified identity but is in process as a result there is a parallel shift in the history and philosophy of science. The paper attempts to explore the evolution of the “Robot Ethics” in the context of the film. It attempts to show that science progresses in discontinuous movement from one discursive formation or paradigm to another in connection to the development in the code of “Roboethics” as projected in the film narrative. The paper shows that the scientists conduct and write up their research within the conceptual limits of particular scientific discourses which are historically situated in relation to their society and culture. It shows that discourse related to “Robot Ethics” is connected to power.  The research paper shows that individuals are subjects of ideology and the ideology/ies operate by the interpellation of the subjects in the social structure. This interpellation works through the discursive formations which are materially linked with “state apparatuses” such as religion, law and education.  

Importance of Touch for Conveying Affection in a Multimodal Interaction with a Small Humanoid Robot

2015 ◽  
Vol 12 (01) ◽  
pp. 1550002 ◽  
Author(s):  
Martin D. Cooney ◽  
Shuichi Nishio ◽  
Hiroshi Ishiguro
Keyword(s):  
Social Intelligence ◽  
Humanoid Robot ◽  
Multimodal Interaction ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Main Challenge ◽  
Short Video ◽  
High Degree ◽  
Companion Robots

To be accepted as a part of our everyday lives, companion robots will require the capability to communicate socially, recognizing people's behavior and responding appropriately. In particular, we hypothesized that a humanoid robot should be able to recognize affectionate touches conveying liking or dislike because (a) a humanoid form elicits expectations of a high degree of social intelligence, (b) touch behavior plays a fundamental and crucial role in human bonding, and (c) robotic responses providing affection could contribute to people's quality of life. The hypothesis that people will seek to affectionately touch a robot needed to be verified because robots are typically not soft or warm like humans, and people can communicate through various other modalities such as vision and sound. The main challenge faced was that people's social norms are highly complex, involving behavior in multiple channels. To deal with this challenge, we adopted an approach in which we analyzed free interactions and also asked participants to rate short video-clips depicting human–robot interaction. As a result, we verified that touch plays an important part in the communication of affection from a person to a humanoid robot considered capable of recognizing cues in touch, vision, and sound. Our results suggest that designers of affectionate interactions with a humanoid robot should not ignore the fundamental modality of touch.

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