Tag: Yikun Chi

Beyond apps: a method to model full distributions of screen content over time to study media effects

We introduce smartphone screen content patterns (content patterns) as a new construct and propose an analytical framework that represents smartphone use as distributions of experienced screen content rather than summaries of time spent on devices or in apps. We operationalize content patterns using deep learning embeddings of moment-by-moment screenshots and formalize use periods as probability distributions over embedding space...

Risk Communication in Real Time: Examining Individuals’ Smartphone Use During the 2021 Texas Winter Disaster With Mobile Sensing

In this study, we provide a detailed description of how individuals encounter risk communication during extreme weather events by analyzing comprehensive records of all the content that 11 adults viewed on their smartphones (n = 162,418 screenshots collected via mobile sensing) over 5 days of the winter disaster that struck Texas in February 2021. Participants viewed substantial amounts of risk communication, which comprised, on average, 21% of their total smartphone use during the winter disaster...

The Change Lab Goes To The Affective Science Annual Conference 2023 in Long Beach, CA

Developmental Change in Infants’ Emotion Regulation Readiness and Regulation Proclivity; Tracking Divergence of Well-Being across Time; and Change in Affect as Individuals Move Through Physical and Digital Green Space in Everyday Life.

Yikun Chi

PhD Candidate Media Psychology Department of Communication Stanford University Yikun is a Ph.D. student in the communication department at Stanford University. He is interested in modeling people’s behavior through pervasive computing and mobile sensing. Publications