How to completely use the PAD space for socially interactive robots

2011 ◽  
Author(s):  
Jeong Woo Park ◽  
Woo Hyun Kim ◽  
Won Hyong Lee ◽  
Ju Chang Kim ◽  
Myung Jin Chung
Keyword(s):  
Socially Interactive Robots

scholarly journals The Interactive Urban Robot: User-centered development and final field trial of a direction requesting robot

2015 ◽  
Vol 6 (1) ◽  
Author(s):  
Astrid Weiss ◽  
Nicole Mirnig ◽  
Ulrike Bruckenberger ◽  
Ewald Strasser ◽  
Manfred Tscheligi ◽  
...  
Keyword(s):  
Development Process ◽  
Service Robot ◽  
Communication Model ◽  
City Center ◽  
Secondary Users ◽  
Feedback Modalities ◽  
Socially Interactive Robots ◽  
The City ◽  
User Centered Development ◽  
User Centered

AbstractIn this article, we present the user-centered development of the service robot IURO. IURO’s goal is to find the way to a designated place in town without any previous map knowledge, just by retrieving information from asking pedestrians for directions. We present the 3-years development process,which involved a series of studies on its appearance, communication model, feedback modalities, and social navigation mechanisms. Our main contribution lies within the final field trial.With the autonomous IURO platform, we performed a series of six way-finding runs (over 24 hours of run-time in total) in the city center of Munich, Germany. The robot interacted with approximately 100 pedestrians of which 36 interactions included a full route dialogue. A variety of empirical methods was used to explore reactions of primary users (pedestrians who actually interacted with the robot) and secondary users (bystanders who observed others interacting). The gathered data provides insights into usability, user experience, and acceptance of IURO and allowed us deriving recommendations for the development of other socially interactive robots.

Use of Robots to Help Students With Diverse Needs

2021 ◽  
pp. 74-90
Author(s):  
Ayşe Tuna
Keyword(s):  
Problem Solving ◽  
General Education ◽  
Learning Needs ◽  
Education Student ◽  
Age Group ◽  
Key Skills ◽  
Team Spirit ◽  
Education Robots ◽  
Socially Interactive Robots ◽  
Education Of Students

In most countries, the student population in schools continues to grow more diverse, and the unique learning needs of the students are recognized. In this respect, it is crucial to ensure that policies foster educational outcomes for all students, not just an average general education student. Since working on robots is very stimulating for especially young students, allowing them to develop key skills that will help them be successful during their school years and beyond in terms of problem-solving, creativity, scientific approach, and team spirit, robots are becoming more popular as an educational platform. For that reason, many types of robots are being involved in education. Robots with different features and capabilities, such as simple robots or socially interactive robots, are used in education, and usually, objectives and targets of a study and age group of students dictate the choices regarding robots. Considering the different roles of robots in education, in this chapter, the use of robots in the education of students with diverse needs is reviewed.

Socially Embodied Human-Robot Interaction

2015 ◽  
pp. 169-190 ◽  
Author(s):  
J. Lindblom ◽  
B. Alenljung
Keyword(s):  
User Experience ◽  
Human Robot Interaction ◽  
The Body ◽  
Human Interaction ◽  
Future Research ◽  
Crucial Importance ◽  
Robot Interaction ◽  
Use Of Technology ◽  
Fundamental Challenge ◽  
Socially Interactive Robots

A fundamental challenge of human interaction with socially interactive robots, compared to other interactive products, comes from them being embodied. The embodied nature of social robots questions to what degree humans can interact ‘naturally' with robots, and what impact the interaction quality has on the user experience (UX). UX is fundamentally about emotions that arise and form in humans through the use of technology in a particular situation. This chapter aims to contribute to the field of human-robot interaction (HRI) by addressing, in further detail, the role and relevance of embodied cognition for human social interaction, and consequently what role embodiment can play in HRI, especially for socially interactive robots. Furthermore, some challenges for socially embodied interaction between humans and socially interactive robots are outlined and possible directions for future research are presented. It is concluded that the body is of crucial importance in understanding emotion and cognition in general, and, in particular, for a positive user experience to emerge when interacting with socially interactive robots.

Modeling the acceptance of socially interactive robotics

2011 ◽  
Vol 12 (3) ◽  
pp. 430-460 ◽  
Author(s):  
Dong-Hee Shin ◽  
Hyungseung Choo
Keyword(s):  
Social Presence ◽  
Behavioral Intention ◽  
Social Robots ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Robot Acceptance ◽  
Proposed Model ◽  
Socially Interactive Robots ◽  
Acceptance Model ◽  
Practical Implications

Based on an integrated theoretical framework, this study analyzes user acceptance behavior toward socially interactive robots focusing on the variables that influence the users’ attitudes and intentions to adopt robots. Individuals’ responses to questions about attitude and intention to use robots were collected and analyzed according to different factors modified from a variety of theories. The results of the proposed model explain that social presence is key to the behavioral intention to accept social robots. The proposed model shows the significant roles of perceived adaptivity and sociability, both of which affect attitude as well as influence perceived usefulness and perceived enjoyment, respectively. These factors can be key features of users’ expectations of social robots, which can give practical implications for designing and developing meaningful social interaction between robots and humans. The new set of variables is specific to social robots, acting as factors that enhance attitudes and behavioral intentions in human–robot interactions. Keywords: Robot acceptance model; Socially interactive robots; Social robots; Social presence

Modeling Trust and Empathy for Socially Interactive Robots

2021 ◽  
pp. 21-60
Author(s):  
Patrick Gebhard ◽  
Ruth Aylett ◽  
Ryuichiro Higashinaka ◽  
Kristiina Jokinen ◽  
Hiroki Tanaka ◽  
...  
Keyword(s):  
Socially Interactive Robots

scholarly journals Sound Production for the Emotional Expression of Socially Interactive Robots

10.5772/6838 ◽  
2009 ◽  
Author(s):  
Eun-Sook Jee ◽  
Yong-Jeon Cheong ◽  
Chong Hui ◽  
Dong-Soo Kwon ◽  
Hisato Kobayashi
Keyword(s):  
Emotional Expression ◽  
Sound Production ◽  
Socially Interactive Robots

scholarly journals A survey of socially interactive robots

2003 ◽  
Vol 42 (3-4) ◽  
pp. 143-166 ◽  
Author(s):  
Terrence Fong ◽  
Illah Nourbakhsh ◽  
Kerstin Dautenhahn
Keyword(s):  
Socially Interactive Robots

scholarly journals A Human Affect Recognition System for Socially Interactive Robots

Robotics ◽  
2013 ◽  
pp. 295-314
Author(s):  
Derek McColl ◽  
Goldie Nejat
Keyword(s):  
Human Body ◽  
Recognition System ◽  
Sensory Systems ◽  
Body Language ◽  
Body Parts ◽  
Language Recognition ◽  
Human Body Model ◽  
Socially Interactive Robots ◽  
Body Shapes ◽  
Affective Body Language

This chapter presents a real-time robust affect classification methodology for socially interactive robots engaging in one-on-one human-robot-interactions (HRI). The methodology is based on identifying a person’s body language in order to determine how accessible he/she is to a robot during the interactions. Static human body poses are determined by first identifying individual body parts and then utilizing an indirect 3D human body model that is invariant to different body shapes and sizes. The authors implemented and tested their technique using two different sensory systems in social HRI scenarios to motivate its robustness for the proposed application. In particular, the experiments consisted of integrating the proposed body language recognition and affect classification methodology with imaging-based sensory systems onto the human-like socially interactive robot Brian 2.0 in order for the robot to recognize affective body language during one-on-one interactions.

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