Abstract
Though written extensively, recent debates on universality of emotions have shown that age, gender, and ethnicity have greater implications in the ability to identify expressions from faces. Facial emotion recognition deficits have been consistently shown in psychiatric conditions, which necessitates the need to construct a culturally sensitive tool. Fourteen actors depicted emotions such as happy, sad, anger, fear, surprise, disgust, and neutrality. From a total of 126 images, participants rated in terms of intensity and accuracy. Final software was developed with 28 images, and mean accuracy and reaction time were obtained. Friedman’s significance test revealed a significant effect of emotion on its different dimensions. This study helped establish a culturally sensitive emotion recognition tool with the Indian population, which can be used in mental health settings for screening purposes and aid in developing rehabilitation modules.
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Study was approved by departmental panel instituted by Christ (Deemed to be University) in accordance with ethical guidelines.
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You are being asked to participate in a research study conducted by Karishma Rajan Menon from the Department of Psychology at Christ University, Bangalore. The results of this study will be used to fulfil the requirements of a research project/dissertation for the degree of Masters of Science in Clinical Psychology. You were selected as a possible participant in this study because you fill the criteria of being an individual between the age ranges of 18 and 35 with no prior history of any psychiatric illness.
Purpose of the Study
The aim of the research is to develop and validate an emotion recognition software in the Indian population to screen for deficits in identifying facial emotions.
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You must be between the ages of 18 and 35 years. You must also be of Indian ancestry because the software is being validated in the specific culture. Language is no barrier. If you decide to participate in the study, you will be expected to fill out a questionnaire regarding your general health and also respond to the software.
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No remuneration or monetary benefits would be given for the study. The participants will not receive any benefits from the study. After the completion of the research with your participation, the software will be published to be of use in mental health settings to screen individuals with deficits in recognizing emotions from faces. It will aid in diagnosis as well as therapy/counselling purposes.
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Consent for use of study materials for research purposes and publication of software was obtained from participants. After the completion of the research with your participation, an academic paper and software will be published to be of use in mental health settings to screen individuals with deficits in recognizing emotions from faces. It will aid in diagnosis as well as therapy/counselling purposes.
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Rajan Menon, K., Malu, B. & Sinha, C. Development and Validation of Emotion Recognition Software in the Indian Population. Psychol Stud 65, 489–496 (2020). https://doi.org/10.1007/s12646-020-00574-8
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DOI: https://doi.org/10.1007/s12646-020-00574-8