Robo-Friend: Can a Social Robot Empathize with Your Feelings Effectively?

Eshtiak Ahmed, Ashraful Islam, Atiqul Islam Chowdhury, Mohammad Masudur Rahman, Shahnaj Chowdhury, Md Imran Hosen

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2 Citations (Scopus)
11 Downloads (Pure)

Abstract

Social robots are becoming more popular everyday because of their resemblance with human behavior and interaction styles. They should be treated more like companions rather than just a fancy source of entertainment. Recent studies have shown great promise for robots to act as teachers, companions, caregivers and so on. In this study, primarily, a feasibility analysis is done to find out the way how a social robot can be used as a companion where it can sense the emotions of the users, empathize with their feelings and provide feedback with a view to changing their mood. A context study was conducted to make design implications where user experience goals such as inspiration, sense of control, relaxation, accomplishment and confidence were considered in the implementation. Furthermore, a prototype was designed based on a social robot, Pepper which then was interacted with potential users, either in groups or individually. The results support the fact that, a well-implemented social robot can effectively empathize with human users’ emotions.

Original languageEnglish
Title of host publicationProgress in Advanced Computing and Intelligent Engineering - Proceedings of ICACIE 2020
EditorsChhabi Rani Panigrahi, Bibudhendu Pati, Binod Kumar Pattanayak, Seeven Amic, Kuan-Ching Li
PublisherSpringer
Pages777-788
Number of pages12
ISBN (Electronic)9789813342996
ISBN (Print)9789813342989
DOIs
Publication statusPublished - 2021
Publication typeA4 Article in conference proceedings
EventInternational Conference on Advanced Computing and Intelligent Engineering - Virtual, Online
Duration: 25 Jun 202027 Jun 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1299 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceInternational Conference on Advanced Computing and Intelligent Engineering
CityVirtual, Online
Period25/06/2027/06/20

Keywords

  • Experience driven design
  • Experience goals
  • Human–robot interaction
  • User experience

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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