A Coloring Book Approach: Determining color codes in digital representations of OvaHimba people and environment

Color is an important factor in digital representations striving for authenticity and realism. Color perception and associated language and meanings are specific to socio-cultural contexts. Inspired by previous color studies with the OvaHimba in Namibia, we conducted a preliminary investigation into their color language. We further explored a new method, namely the coloring book approach, in order to determine appropriate choices of color for the digital representation of the OvaHimba people and surroundings. We conclude that further color research is recommended within different digital contexts, such as virtual reality, to contextualize and validate findings of this study.

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Published
2025-11-04
DOI
https://doi.org/10.1145/3757232.3757267
Primary Topic
Categorization, perception, and language
Type
article
Field-Weighted Citation Impact
0.00

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article

A Coloring Book Approach: Determining color codes in digital representations of OvaHimba people and environment

Uariaike Mbinge, Markus Löchtefeld, Emilie Maria Nybo Arendttorp, Andreas Møgelmose et al.
Categorization, perception, and language
article

A Coloring Book Approach: Determining color codes in digital representations of OvaHimba people and environment

Uariaike Mbinge, Markus Löchtefeld, Emilie Maria Nybo Arendttorp, Andreas Møgelmose, Heike Winschiers‐Theophilus, Claire Brennan
article en

Abstract

Color is an important factor in digital representations striving for authenticity and realism. Color perception and associated language and meanings are specific to socio-cultural contexts. Inspired by previous color studies with the OvaHimba in Namibia, we conducted a preliminary investigation into their color language. We further explored a new method, namely the coloring book approach, in order to determine appropriate choices of color for the digital representation of the OvaHimba people and surroundings. We conclude that further color research is recommended within different digital contexts, such as virtual reality, to contextualize and validate findings of this study.

Namibia University of Science and Technology (NA), University of Guelph (CA), Aalborg University (DK)
American-Italian Cancer Foundation, Innovationsfonden, Erasmus+
Openalex Percentile: Top 66%
Categorization, perception, and language
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