Faces strongly attract early fixations in naturally sampled real-world stimulus materials
New York, NY : Association for Computing Machinery (ACM)
InBulling, A.; Huckauf, A.; Jain, E. (ed.), ETRA 2020 Short Papers: ACM Symposium on Eye Tracking Research and Applications, pp. Article No. 39: 1-5
ETRA 2020: The 12th ACM Symposium on Eye Tracking Research and Applications (Stuttgart, Germany, 2-5 June, 2020)
Article in monograph or in proceedings
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PI Group Predictive Brain
SW OZ DCC AI
Bulling, A.; Huckauf, A.; Jain, E. (ed.), ETRA 2020 Short Papers: ACM Symposium on Eye Tracking Research and Applications
p. Article No. 39: 1-5
Subject180 000 Predictive Brain; Cognitive artificial intelligence
Faces are an important and salient stimulus in our everyday life. They convey social information and, consequently, attract our attention easily. Here, we investigate this face-attraction-bias in detail and analyze the first fixations made in a free-viewing paradigm. We presented 20 participants with natural, head-centered, live-sized stimuli of indoor scenes, taken during unconstrained free-viewing in a real-world environment. About 70% of first fixations were made on human faces, rather than human heads, non-human faces or the background. This effect was present even though human faces constituted only about 5% of the stimulus area and occurred in a wide variety of positions. With a hierarchical logistic model, we identify behavioral and stimulus’ features that explain this bias. We conclude that the face-attraction bias replicates under more natural conditions, reflects high-level properties of faces, and discuss its implications on the measurement of brain dynamics.
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