Detecting cultural identity via robotic sensor data to understand differences during human-robot interaction-Reference-Cited by-同舟云学术

Detecting cultural identity via robotic sensor data to understand differences during human-robot interaction

Published:2023-11-13 Issue:22 Volume:37 Page:1446-1459
ISSN:0169-1864
Container-title:Advanced Robotics
language:en
Short-container-title:Advanced Robotics

Author:

Lee Jinjae¹^ORCID,Bennett Casey C.¹²^ORCID,Stanojevic Cedomir³^ORCID,Kim Seongcheol¹,Henkel Zachary⁴^ORCID,Baugus Kenna⁴,Piatt Jennifer A.⁵,Bethel Cindy⁴^ORCID,Sabanovic Selma⁶^ORCID

Affiliation:

1. Department of Intelligence Computing, Hanyang University, Seoul, Korea

2. Department of Computing & Digital Media, DePaul University, Chicago, IL, USA

3. Department of Parks, Recreation & Tourism Management, Clemson University, Clemson, SC, USA

4. Department of Computer Science and Engineering, Mississippi State University Starkville, Starkville, MS, USA

5. School of Public Health, Indiana University, Bloomington, IN, USA

6. School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA

Funder

Hanyang University Research Fund

National Science Foundation

Publisher

Informa UK Limited

Subject

Computer Science Applications,Hardware and Architecture,Human-Computer Interaction,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/01691864.2023.2277159

Reference52 articles.

1. Affective Touch in Human–Robot Interaction: Conveying Emotion to the Nao Robot

2. Person-robot interactions from the robopsychologists' point of view: the robotic psychology and robotherapy approach

3. Quantifying patterns of joint attention during human-robot interactions: An application for autism spectrum disorder assessment

4. Measuring Engagement in Robot-Assisted Autism Therapy: A Cross-Cultural Study

5. A Pilot Randomized Trial of a Companion Robot for People With Dementia Living in the Community