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Combatting ageism through virtual embodiment? Using explicit and implicit measures.

Liat Ayalon1, Ehud Dayan2, Sara Freedman1

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Virtual embodiment (VE) using older avatars did not significantly reduce ageism in young adults on explicit or implicit measures. Further research is needed to explore VE

Keywords:
ageismavatardiscriminationexplicitimplicitolder adultsvirtual embodiment

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Area of Science:

  • Psychology
  • Gerontology
  • Human-Computer Interaction

Background:

  • Ageism, defined as prejudice based on age, significantly impacts older adults' health and healthcare costs.
  • Most research on ageism has focused on negative stereotypes and discrimination against older individuals.

Purpose of the Study:

  • To evaluate the effectiveness of virtual embodiment (VE) in reducing both self- and other-directed ageism.
  • To investigate if embodying an older avatar in a virtual environment can mitigate age-based biases.

Main Methods:

  • Eighty participants aged 18–35 were randomly assigned to experience VE with either an older or a younger avatar.
  • Both explicit and implicit measures of ageism were used to assess changes in bias.

Main Results:

  • No significant differences in explicit ageism measures were observed between the groups.
  • A nonsignificant reduction in implicit age bias was found for participants using the older avatar after adjusting for multiple comparisons (p = .02).

Conclusions:

  • While prior studies show VE's impact on implicit measures, this study found no significant effects on either explicit or implicit ageism when accounting for multiple comparisons.
  • The multidimensional nature of ageism necessitates further research to determine VE's efficacy across various measurement approaches.