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Facilitating gerontechnology adoption: Observational learning with live models

  • Lu Peng
  • , Qi Ma
  • , Rita W.L. Yu
  • , Alan H.S. Chan*
  • , Pei Lee Teh
  • , Ka Kit So
  • *Corresponding author for this work
  • City University of Hong Kong
  • Monash University Malaysia

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

Abstract

This study aims to investigate the effectiveness of observational learning with live models in facilitating technology adoption for older people. A between-groups observational training with a video-taped demonstration was developed. Model generation (child, young adult, and old adult) was set as factor that may affect training outcomes. Sixty Hong Kong Chinese people aged 60 or above were divided into three groups. Results confirm that the self-efficacy and behavioral intention of older people significantly improved after the training. The greatest improvement of self-efficacy and behavioral intention was found in the old adult and child model groups, respectively.

Original languageEnglish
Title of host publicationCross-Cultural Design. Applications in Cultural Heritage, Creativity and Social Development - 10th International Conference, CCD 2018, Held as Part of HCI International 2018, Proceedings
EditorsPei-Luen Patrick Rau
PublisherSpringer Verlag
Pages334-345
Number of pages12
ISBN (Print)9783319922515
DOIs
StatePublished - 2018
Externally publishedYes
Event10th International Conference on Cross-Cultural Design, CCD 2018 Held as Part of HCI International 2018 - Las Vegas, United States
Duration: 15 Jul 201820 Jul 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10912 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Cross-Cultural Design, CCD 2018 Held as Part of HCI International 2018
Country/TerritoryUnited States
CityLas Vegas
Period15/07/1820/07/18

Keywords

  • Aging population
  • Gerontechnology adoption
  • Model generation
  • Observational learning

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