Fullproof: Towards the Detection of Impostor Syndrome Using Smartphone Sensors
Authors: 
JaeWon Kim, Yuri Kim, Yuna Jeong, Youngki LeeAuthors Info & Claims
JaeWon Kim, Yuri Kim, Yuna Jeong, Youngki LeeAuthors Info & ClaimsPages 204 - 210
Abstract
Impostor syndrome is a psychological pattern characterized by doubts in one’s capabilities or achievements despite evident success. In this paper, we demonstrate the potential of a smartphone-aided solution for impostor syndrome detection among high-achieving college students by presenting some initial findings from our 3-week user study. We collected GPS, Bluetooth, light, screen and app usage data along with Clance Impostor Phenomenon Scale (CIPS) survey results from 37 students. We conducted a correlation analysis between CIPS scores and features extracted from sensor data. Then we grouped the features into three categories that reflect the behavioral characteristics of individuals with impostor syndrome, namely social avoidance, sense of obligation, and restlessness. Based on these findings, we suggest further examination of the use of behavioral sensing data in detecting impostor syndrome.
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September 2021
711 pages
ISBN:9781450384612
DOI:10.1145/3460418
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Published: 24 September 2021
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- The Ministry of Trade, Industry and Energy
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UbiComp '21
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UbiComp '21: The 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing
September 21 - 26, 2021
Virtual, USA
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