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Quantitative Study
| Published: March 06, 2026
Cultural Dimensions of Emotion Recognition: Navarasa Theory and the Reading the Mind Eye Test (RMET) in Indian Samples
Research Scholar, Pondicherry University
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Professor, Pondicherry University
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DIP: 18.01.122.20261401
DOI: 10.25215/1401.122
ABSTRACT
Background: A core requirement for social interaction and theory of mind is the identification of emotions. Created with the use of Western psychology, RMET has been widely used for assessing this skill. The concept of Navarasa Theory was articulated by Bharata Muni in his work the Nāṭyaśāstra. The aim of the study was to explore how Indian participants employed RMET to identify emotions and further analyse their response using the Navarasa theory. Method: Data collected from 40 Indian samples (8 women and 12 men; aged between 24 and 35 years) through the online survey using Google Forms. Participants completed a 36-item form of the original RMET. In this study, frequency analysis was conducted to determine recognition. Results: Emotions belong to the category of Śṛṅgāra (love/affection) scored highest, followed by Raudra (anger/irritation) and Bhayānka (fear/anxiety; e.g., Hostile, Tentative, Cautious). Static images may be more difficult to interpret since, in the case of moderately familiar emotions, there would also be a reason to consider that states are less clear or easier to confuse for unknown feelings.
Keywords
Cultural Dimensions, Emotion Recognition, Navarasa Theory, Reading the Mind Eye Test (RMET), Indian Samples
This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.
© 2026, Mariyam, F. & Rangiah, B.
Received: October 20, 2025; Revision Received: March 02, 2026; Accepted: March 06, 2026
Article Overview
ISSN 2348-5396
ISSN 2349-3429
18.01.122.20261401
10.25215/1401.122
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Published in Volume 14, Issue 1, January-March, 2026
