Evidence map›Paper›PMID 41725663›Full record

ArticleFrontiers in psychology2026

The association between emotional arousal and color lightness of facial digital expressions of social robots.

Xu Chengxing, Fu Ying, Ren Aonini, Wang Qiong

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xu ChengxingNanjing University of Posts and Telecommunications, School of Digital Media and Design Art, Nanjing, China.
Fu YingChangzhou University, School of Art and Design, Changzhou, China.
Ren AoniniNanjing University of Posts and Telecommunications, School of Digital Media and Design Art, Nanjing, China.
Wang QiongNanjing University of Posts and Telecommunications, School of Digital Media and Design Art, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In human-robot social interactions, a robot's facial expressions serve as a crucial channel for conveying emotions and fostering trust. However, current social robots predominantly employ emoji-like icons and simulated muscle movements for anthropomorphic ex-pression, and research on facial color-emotion relationships tends to adjust hue, saturation, and lightness simultaneously-overlooking how color lightness alone influences emotional intensity. This study explores the specific link between emotion type and color lightness in social robots' digital facial expressions to enhance affective communication in human-computer interaction. In our experiment, participants viewed robot faces dis-playing the same emotion at varying lightness levels and rated perceived arousal on a 1-5 scale. The results confirm that manipulating color lightness significantly modulates emotional arousal. Overall, these findings suggest that adaptive lightness adjustments in robot facial colors can yield more realistic and intuitive affective interactions between humans and machines.

Indexed as

color lightnessemoticonsemotional arousalhuman-computer interactionpsychologysocial robotsvisual communication

Identifiers

PMID41725663
PMCPMC12920486

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.