Evidence map›Paper›PMID 34177022›Full record

ArticleThe Visual computer2022

Aspects of visual avatar appearance: self-representation, display type, and uncanny valley.

Daniel Hepperle, Christian Felix Purps, Jonas Deuchler, Matthias Wölfel

Abstract read
In one paragraph

Article in The Visual computer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Daniel HepperleFaculty of Computer Science and Business Information Systems, Karlsruhe University of Applied Sciences, Karlsruhe, Germany.ORCID 0000-0002-3556-5867
Christian Felix PurpsFaculty of Computer Science and Business Information Systems, Karlsruhe University of Applied Sciences, Karlsruhe, Germany.
Jonas DeuchlerFaculty of Computer Science and Business Information Systems, Karlsruhe University of Applied Sciences, Karlsruhe, Germany.
Matthias WölfelFaculty of Computer Science and Business Information Systems, Karlsruhe University of Applied Sciences, Karlsruhe, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The visual representation of human-like entities in virtual worlds is becoming a very important aspect as virtual reality becomes more and more "social". The visual representation of a character's resemblance to a real person and the emotional response to it, as well as the expectations raised, have been a topic of discussion for several decades and have been debated by scientists from different disciplines. But as with any new technology, the findings may need to be reevaluated and adapted to new modalities. In this context, we make two contributions which may have implications for how avatars should be represented in social virtual reality applications. First, we determine how default and customized characters of current social virtual reality platforms appear in terms of human likeness, eeriness, and likability, and whether there is a clear resemblance to a given person. It can be concluded that the investigated platforms vary strongly in their representation of avatars. Common to all is that a clear resemblance does not exist. Second, we show that the uncanny valley effect is also present in head-mounted displays, but-compared to 2D monitors-even more pronounced.

Indexed as

Avatar customizationHead-mounted displaysNonverbal communicationSocial networksVirtual reality

Identifiers

PMID34177022
PMCPMC8211459

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.