PG2023 Short Papers and Posters
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Browsing PG2023 Short Papers and Posters by Author "Jang, Yun"
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Item Revisiting Visualization Evaluation Using EEG and Visualization Literacy Assessment Test(The Eurographics Association, 2023) Yim, Soobin; Jung, Chanyoung; Yoon, Chanyoung; Yoo, Sangbong; Choi, Seongwon; Jang, Yun; Chaine, Raphaƫlle; Deng, Zhigang; Kim, Min H.Using EEG signals, also known as Electroencephalogram, can provide a quantitative measure of human cognitive load, making it an effective tool for evaluating visualization. However, the suitability of EEG for visualization evaluation has not been verified in previous studies. This paper investigates the feasibility of utilizing EEG data in visualization evaluation by comparing previous experiments. We trained and estimated individual CNN models for each subject using the EEG data. Our study demonstrates that EEG-based visualization evaluation provides a more feasible estimate of the difficulties experienced by subjects during the visualization task compared to previous studies that used accuracy and response time.Item Visualization System for Analyzing Congestion Pricing Policies(The Eurographics Association, 2023) Choi, SeokHwan; Seo, Seongbum; Yoo, Sangbong; Jang, Yun; Chaine, Raphaƫlle; Deng, Zhigang; Kim, Min H.Traffic congestion, which increases every year, has a negative impact on environmental pollution and productivity. Congestion pricing policy has been shown to be effective in Singapore, London, and Stockholm as one of the ways to solve traffic congestion. Pricing policy has different effects depending on a target area, pricing scheme, and toll. In general, congestion pricing policy researchers conduct statistical analysis of simulation model predictions within a fixed region and time range. However, existing research techniques make analyzing all traffic data characteristics with spatiotemporal dependency difficult. In this paper, we propose a visualization system for analyzing the influence of congestion pricing policy using SUMO and TCI. Our system provides a district-level analysis process to explore the influence of pricing policy over time and area.