Cited by 30Social Robot Interaction and HRIVirtual Reality Applications and ImpactsDigital Storytelling and Education

Investigating the Effects of Self-Avatars and Story-Relevant Avatars on Children's Creative Storytelling

Zarei, Niloofar, Chu, Sharon Lynn, Quek, Francis, Rao, Nanjie 'Jimmy', Brown, Sarah Anne·2020·Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract

Storytelling is a critical step in the cognitive development of children. Particularly, this requires children to mentally project into the story context and to identify with the thoughts of the characters in their stories. We propose to support free imagination in creative storytelling through an enactment-based approach that allows children to embody an avatar and perform as the story character. We designed our story creation interface with two modes of avatar: the story-relevant avatar and the self-avatar, to investigate the effects of avatar design on the quality of children's creative products. In our study with 20 child participants, the results indicate that self-avatars can create a stronger sense of identification and embodied presence, while story-relevant avatars can provide a scaffold for mental projection.

Integrity signals

Registry

Crossref · 10.1145/3313831.3376331

Cites

38 of 38 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Enabling physicalization or materialization of AI-generated contents could enrich the sensorial and kinesthetic qualities of family-AI interactions, aid children's motor-sensory skills, induce mental soothing effects, and promote positive parental involvement.

    “it has been revealed that by enabling physicalization or materialization of AI-generated contents, we could enrich the sensorial and kinesthetic qualities of family-AI interactions, which could not only aid children's motor-sensory skills but also induce mental soothing effects [65] and positive parental involvement [128].”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Zarei, N., Chu, S. L., Quek, F., Rao, N. '., & Brown, S. A.
Affiliations
  • Texas A&M University (US)
  • University of Florida (US)
Venue
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2020-04-21
Pages
1-11
OpenAlex
W3031904053
Cited by
30
References
38
Citations by year
2026: 2 · 2025: 4 · 2024: 10 · 2023: 5 · 2022: 3 · 2021: 5 · 2020: 1
FWCI
4.94
Type
conference paper
Language
en
Open access
closed
Locations
CHI Conference on Human Factors in Computing Systems (publishedVersion)
Funders
National Science Foundation (1736225)
Topics
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
  • Health Sciences › Health Professions › Speech and Hearing › Digital Storytelling and Education
Keywords
creative storytelling, children, self-avatars, avatar design, embodiment, mental projection, embodied presence, cognitive development

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review