Abstract
We investigate how to probabilistically describe the distribution of gaze with respect to body parts when an observer evaluates impression words for an individual in an image. In the field of cognitive science, analytical studies have reported how observers view a person in an image and form impressions about him or her. However, a probabilistic representation of their gaze distributions has not yet been discussed. Here, we represent the gaze distribution as a conditional probability according to each body part. To do this, we measured the gaze distribution of observers performing a task that consists of assessing an impression word. We then evaluated whether these distributions change with respect to the impression word and body part specified in the task. Experimental results show that the divergences between the conditional probabilities of gaze distributions are large when the impression words or body parts of the task are changed.
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This work was partially supported by JSPS KAKENHI Grant No. JP20K11864.
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Kinoshita, K., Inoue, M., Nishiyama, M., Iwai, Y. (2021). Body-Part Attention Probability for Measuring Gaze During Impression Word Evaluation. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2021 - Posters. HCII 2021. Communications in Computer and Information Science, vol 1420. Springer, Cham. https://doi.org/10.1007/978-3-030-78642-7_15
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DOI: https://doi.org/10.1007/978-3-030-78642-7_15
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