Are paired or single stimuli beter to recognize genuine and posed smiles from observers' galvanic skin response?

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Rahman, Jessica Sharmin
Hossain, Zakir
Gedeon, Tom

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Association for Computing Machinery (ACM)

Abstract

Smile recognition plays a vital role in human-human and human-computer interactions. This paper demonstrates a system to recognize the genuine and posed smiles by sensing observers' galvanic skin response (GSR), while watching sets of images and videos. The smiles were shown either in paired' or in single' forms. Here, paired' means that the same smiler was seen in both genuine and posed smile forms, otherwise the condition is referred to as single'. The GSR signals were recorded and processed, and several time-domain and frequency-domain features were extracted from the processed GSR signals. Classification accuracies were found to be as high as 93.6% and 91.4% from paired and single conditions respectively. In comparison, observers were verbally 59.8% and 56.2% correct. Our results demonstrate that human subconscious responses (i.e. GSR signals) is better than their own verbal response, where the paired condition is slightly better than the single condition.

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Jessica Sharmin Rahman, Md Zakir Hossain, and Tom Gedeon. 2020. Are paired or single stimuli better to recognize genuine and posed smiles from observers’ galvanic skin response?. In OzCHI ’20: 32ND AUSTRALIAN CONFERENCE ON HUMAN-COMPUTER INTERACTION, December 03–05, 2020, Online. ACM, New York, NY, USA, 5 pages. https://doi.org/10.1145/3441000. 3441041

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Open Access

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