Research on the Auditory Characteristics of Humanoid Robots to Assist the Older Population with Cognitive Impairments

Zhao Zou, Omar Mubin, Fady Alnajjar, Abdullah Al Mahmud, Aila Khan, Michael Lwin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Older people's healthcare is becoming a prevalent social topic in recent year since the post-war boom babies are entering their retirement ages. The size of the aged population suffering from cognitive decline is increasing since mild cognitive impairment issues are common aging problems. Therefore, the demand for an effective method of reducing the progress of cognitive decline is rising. This paper is a research design including the reasons for conducting this proposed research, the research approaches design and the hypothesis. Generally, the proposed study aims at creating a conceptual framework for implementing interactive robot-assisted cognitive rehabilitation training. The study will focus on the auditory modalities (voice pitch and speech style) of the humanoid robots. The research result is expected to provide an empirical reference for cognitive rehabilitation for older adults using humanoid robots.

Original languageEnglish
Title of host publication2022 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages382-386
Number of pages5
ISBN (Electronic)9781665456005
DOIs
Publication statusPublished - 2022
Event2022 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2022 - Ras Al Khaimah, United Arab Emirates
Duration: Nov 23 2022Nov 25 2022

Publication series

Name2022 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2022

Conference

Conference2022 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2022
Country/TerritoryUnited Arab Emirates
CityRas Al Khaimah
Period11/23/2211/25/22

Keywords

  • auditory modality
  • cognitive decline
  • dementia
  • human-robot interaction
  • humanoid robot
  • older adults
  • people with MCI

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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