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PRODID:Linklings LLC
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TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
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TZOFFSETFROM:+0900
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TZNAME:JST
DTSTART:18871231T000000
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DTSTAMP:20250110T023301Z
LOCATION:G405\, G Block\, Level 4
DTSTART;TZID=Asia/Tokyo:20241204T143200
DTEND;TZID=Asia/Tokyo:20241204T144400
UID:siggraphasia_SIGGRAPH Asia 2024_sess273_artp_141@linklings.com
SUMMARY:Abutting Tokyo: AI-Driven Cognitive Distortion in VR Urban Visuali
 zation
DESCRIPTION:Art Papers\n\nXiaoyun ZHONG, Xuanyang HUANG, and Rui HU (Hong 
 Kong University of Science and Technology(Guangzhou)) and Shuang WU (Natio
 nal University of Singapore, Hong Kong University of Science and Technolog
 y(Guangzhou))\n\nThis paper explores the intersection of artificial intell
 igence and virtual reality in visualizing urban environments. It examines 
 how AI processes and distorts urban data, influenced by the inherent biase
 s in human-annotated datasets. "Abutting Tokyo" presents a VR experience t
 hat simulates data annotation process and AI's cognitive distortions, demo
 nstrating the symbiotic relationship between AI cognition and human percep
 tion. By critically analyzing AI's interpretation of urban landscapes, the
  study underscores the impact of data biases and manipulation on AI and hu
 man cognition, offering new insights into the dynamics of AI-driven urban 
 visualization.\n\nRegistration Category: Enhanced Access, Full Access, Ful
 l Access Supporter\n\nLanguage Format: English Language\n\nSession Chair: 
 Scottie Chih-Chieh Huang (National Tsing Hua University)
URL:https://asia.siggraph.org/2024/program/?id=artp_141&sess=sess273
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