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VERSION:2.0
PRODID:Linklings LLC
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TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
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TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:JST
DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20260817T171531Z
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:Xiaoyun ZHONG, Xuanyang HUANG, and Rui HU (Hong Kong Universit
 y of Science and Technology(Guangzhou)) and Shuang WU (National University
  of Singapore, Hong Kong University of Science and Technology(Guangzhou))\
 n\nThis paper explores the intersection of artificial intelligence and vir
 tual reality in visualizing urban environments. It examines how AI process
 es and distorts urban data, influenced by the inherent biases in human-ann
 otated datasets. "Abutting Tokyo" presents a VR experience that simulates 
 data annotation process and AI's cognitive distortions, demonstrating the 
 symbiotic relationship between AI cognition and human perception. By criti
 cally analyzing AI's interpretation of urban landscapes, the study undersc
 ores the impact of data biases and manipulation on AI and human cognition,
  offering new insights into the dynamics of AI-driven urban visualization.
 \n\nRegistration Category: Enhanced Access, Full Access, Full Access Suppo
 rter\n\nLanguage Format: English Language\n\nSession Chair: Scottie Chih-C
 hieh Huang (National Tsing Hua University, The BioLogicDesign Lab)\n\n
URL:https://asia.siggraph.org/2024/program/?id=artp_141&sess=sess273
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