GRK 2340

Graduiertenkolleg "Computational Cognition"

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Ann Huang


Room 50/205

Institute of Cognitive Science,
Wachsbleiche 27,
49090 Osnabrück, Germany



Peter König
Gordon Pipa

Choice history biases in dyadic decision making

How do we interact with our surroundings and make decisions about the world around us? Prior work revealed that whilst processing sensory information, our decisions are biased by previous choices (“choice history biases”, see Fründ et al., 2014; Urai et al., 2017). Although the neurobiological bases and the mechanisms of choice history biases have been explained using behavioral and computational modeling (Urai et al., 2019; Donner et al., 2021), it remains unclear whether the presence of another person can modulate the dynamics of one’s perceptual decision-making process. In my research, I attempt to uncover whether the choice history biases are influenced by partners' decisions. I will use psychophysical experiments, computational modeling, and neurophysiological data to answer this question. Our findings will extend our understanding of joint decision-making.

Keywords: dyadic decision making; neural dynamics underlying social interaction; computational modeling of choice history biases

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Ann Huang, Pascal Knierim, Francesco Chiossi, Lewis Chuang, and Robin Welsch (2022) Proxemics for Human-Agent Interaction in Augmented Reality. In CHI Conference on Human Factors in Computing Systems (CHI ’22), April 29-May 5, 2022, New Orleans, LA, USA. ACM, New York, NY, USA, 20 pages. doi: 10.1145/3491102.3517593