강연제목 : The Measurement and Modeling of Social Behavior in Infancy
강연자 : Prof. Jim Rehg (School of Interactive Computing, Georgia Institute of Technology)
일시 : 2022년 9월16일 (금요일) 10:30 ~
- 강연 장소 : 법학관 구관 206호
강연대상 : 고려대학교 일반대학원 심리학과 및 심리학부 구성원 우선 (선착순 50명)
참여신청 URL : https://forms.gle/3abWP43PNWLQJ7ZV6
(신청기한 9월15일 목 정오)
- 강연개요 : Beginning in infancy, individuals acquire the social and communication skills that are vital for a healthy and productive life. Children with an Autism Spectrum Disorder (ASD) face great challenges in acquiring these skills, resulting in substantial lifetime risks. As the neural basis for ASD is unclear, the diagnosis, treatment, and study of autism depends fundamentally on the analysis of social behavior. Standard methods for behavioral observation, which form the backbone of research, diagnosis, and treatment in young children at risk for ASD, are effective in providing a holistic characterization but are inherently coarse-grained and not easily scalable.
In this talk, I will describe our research agenda in Behavioral Imaging, which targets the capture, modeling, and analysis of social and communicative behaviors between children and their caregivers and peers. We are developing computational methods and statistical models for the analysis of video, audio, and wearable sensor data. I will present several recent findings, including a method for detecting eye contact using wearable cameras which has been shown to achieve human-level accuracy, and methods for measuring gaze shifts and hand movements from video. I will describe our recent work in collecting the first large scale publicly-available egocentric dataset of social behavior (Ego4D) and on-going work on developing latent state models for predicting trajectories of language development. I will describe potential applications of this technology to the diagnosis and treatment of autism and other developmental conditions. This is joint work with Drs. Nancy Brady, Rebecca Jones, Cathy Lord, Jenna McDaniel, and Agata Rozga, and Ph.D. students Eunji Chong, Miao Liu, Fiona Ryan, and Yun Zhang.
여러분의 많은 관심과 적극적인 참여 부탁드립니다.