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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 153  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
ET 2024-03-02
15:45
Miyazaki Miyazaki University Support System for Eextracting Story Introduction Components According to Assumed Reader Preferences
Ryusei Shimonaka, Kota Kunori, Tomoko Kojiri (Kansai Univ.) ET2023-63
In order to get readers to read a book, it is necessary to write an attractive introduction of its narrative. However, i... [more] ET2023-63
pp.61-68
CNR 2024-01-19
16:45
Kagoshima Fureai Plaza Nanohana-Kan Meeting Room 1 (IBUSUKI City)
(Primary: On-site, Secondary: Online)
XR Live Performance System for Passenger Comfort in Autonomous Driving -- Examination of an Enjoyment Estimation Method Using Facial Expressions and Physiological Indicators --
Yuki Matoba, Yuki Matoba, Takuto Akiyoshi, Kouki Nagata, Kazuma Mori, Taishi Sawabe (NAIST) CNR2023-35
Autonomous driving technology enables passengers to engage in various activities inside the vehicle other than driving, ... [more] CNR2023-35
pp.53-56
HCGSYMPO
(2nd)
2023-12-11
- 2023-12-13
Fukuoka Asia pacific Import Mart (Kitakyushu)
(Primary: On-site, Secondary: Online)
Prototype of interactive gameplay viewing system for annotating highlights -- Comic-like decorations in real-time --
Takuma Fukui, Ryosuke Yamanishi, Mitsunori Matsushita (Kansai Univ.)
This paper proposes a prototype of the interactive gameplay viewing system for annotating highlights.
Due to more atten... [more]

TL 2023-06-10
14:00
Online
(Primary: Online, Secondary: On-site)
How does AI translation differ from human translation? Comparison of multilingual translations for tourists
Keiko Mochizuki (TUFS), Atushi Ito (Chuo) TL2023-6
How does AI translation differ from human translation in terms of "empathy"? In this presentation, we will discuss the f... [more] TL2023-6
pp.23-26
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-15
12:50
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
A Fundamental Study on Affective Efficacy of Face Masks with Chromatic Color
Misaki Kishi, Hiroto Inoue, Mizuki Nakajima, Nobuji Tetsutani (Tokyo Denki Univ.) IMQ2022-33 IE2022-110 MVE2022-63
In Japan, under the influence of the pandemic of coronavirus disease 2019 (COVID-19), various face masks with chromatic ... [more] IMQ2022-33 IE2022-110 MVE2022-63
pp.85-88
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-15
13:15
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
A Fundamental Study on Optimum Durations of Hit-Stop to Improve User Experience in Video Games
Shoyu Fukuda, Hiroto Inoue, Nobuji Tetsutani (Tokyo Denki Univ.) IMQ2022-34 IE2022-111 MVE2022-64
In three-dimensional computer graphics (3DCG) action video games, when your avatar hits an attack on an enemy, it is com... [more] IMQ2022-34 IE2022-111 MVE2022-64
pp.89-92
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-15
13:40
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
A Fundamental Study on Perception of Bistable Motion Illusion with Hit Stop
Tomoya Tanaka, Hiroto Inoue, Nobuji Tetsutani (Tokyo Denki Univ.) IMQ2022-35 IE2022-112 MVE2022-65
In attack scenes of computer graphics (CG) animations and video games, it is common to add an effect that slightly pause... [more] IMQ2022-35 IE2022-112 MVE2022-65
pp.93-96
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-15
14:05
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
A Usability Testing of Countermeasures for Occlusion in 3DCG Video Games
Suzuka Jikihara, Hiroto Inoue, Nobuji Tetsutani (Tokyo Denki Univ.) IMQ2022-36 IE2022-113 MVE2022-66
When we play action video games of third-person perspective, we often observe occlusion, where obstacles enter spaces be... [more] IMQ2022-36 IE2022-113 MVE2022-66
pp.97-102
MVE, IPSJ-CVIM, VRSJ-SIG-MR 2023-01-26
16:10
Nara Nara Institute of Science and Technology
(Primary: On-site, Secondary: Online)
Construction of Kansei Index for Natural and Synthetic Fragrances and Classification of Individuals based on Relationship between their Kansei and Preference
Yuzuka Murakami, Miyuki Toga, Noriko Nagata (KGU), Tsuyoshi Watamura, Kazuya Sanpei (NOL CORPORATION), Keigo Teramoto (ASKA CREATE) MVE2022-37
(To be available after the conference date) [more] MVE2022-37
pp.15-20
ITE-ME, EMM, IE, LOIS, IEE-CMN, IPSJ-AVM [detail] 2022-09-13
14:00
Online Keio Univ. Yagami Campus (Hybrid)
(Primary: Online, Secondary: On-site)
Study on eye tracking based skill level estimation for assisting collaborative work
Ryohei Saijo, Hiromu Miyashita, Shohei Matsuo (NTT) LOIS2022-11 IE2022-33 EMM2022-39
In collaborative work among multiple workers with different skill levels, communication discrepancies may occur due to d... [more] LOIS2022-11 IE2022-33 EMM2022-39
pp.7-12
HIP, ITE-HI, ASJ-H, VRPSY [detail] 2022-02-28
11:35
Online Online The hierarchical structure between material perceptions and affective impressions inferred from visual psychophysical reaction times
Takehiro Nagai, Takehiro Nagai (Tokyo Tech)
We investigated the hierarchy between various kinds of material perceptions and affective impressions in human visual pr... [more]
MBE, NC
(Joint)
2021-10-28
09:40
Online Online MBE2021-17 In this study, we examine whether it is possible to analyze habituation to taste stimulus from EEG. EEG and EMG are meas... [more] MBE2021-17
pp.1-6
MBE, NC
(Joint)
2021-10-28
14:20
Online Online A Study on Affective BCI Using Reservoir Computing and Fractal Analysis
Yuuma Matsuda, Masahiro Nakagawa (NUT) MBE2021-22
Today, the Brain Computer Interface (BCI) using EEG for quantification of sensitivity have been studying, and the deep l... [more] MBE2021-22
pp.26-31
MVE 2021-09-17
11:30
Online Online [Short Paper] Textile-GAN: Generation of Texture for Woven Pattern Using Generative Adversarial Networks -- An Application to Impression Estimation Model of Suit Pattern Based on Kansei aspect of Shitsukan --
Eiki Tsumura (Kwansei Gakuin Univ.), Iori Tani (Kobe Univ.), Kensuke Tobitani (Univ. of Nagasaki), Noriko Nagata (Kwansei Gakuin Univ.) MVE2021-11
(To be available after the conference date) [more] MVE2021-11
pp.19-20
MVE 2021-09-17
14:00
Online Online A CNN model Using Neural Style Features for Predicting Aesthetic Impressions Score Distribution
Yuya Ohagi (Kwansei Gakuin Univ.), Kensuke Tobitani (Univ. of Nagasaki), Iori Tani (Kobe Univ.), Sho Hashimoto (Seinan Gakuin Univ.), Noriko Nagata (Kwansei Gakuin Univ.) MVE2021-14
In this study, we propose a method for predicting the probability distribution of aesthetic impression scores considerin... [more] MVE2021-14
pp.33-37
HIP 2021-09-17
10:55
Online Online (Zoom) Beverage's preference estimation based on emotional reaction and EEG activity
Kuangzhe Xu (KGU), Kenji Katahira (WU), Yoichi Yamazaki, zhang fan, Naoki Nishida, Yuichiro Tamai (KGU), Naoyuki Matsuzaki (Suntory Global Innovation Center), Noriko Nagata (KGU) HIP2021-27
In recent years, many studies have tried to quantify Kansei values and found that human psychological and physiological ... [more] HIP2021-27
pp.31-36
LOIS 2021-03-04
16:15
Online Online On Extraction of Preference Information and Perceptual Assistance in Apparel Industry
Kan Takeda, Takaaki Hasegawa (Saitama Univ.) LOIS2020-54
In this paper, we describe the possibility of perceptual assistance by extracting consumer’s preference information and ... [more] LOIS2020-54
pp.41-46
HIP, VRSJ 2021-02-18
16:00
Online Online Evaluation of similarity effect between full-body vibration generated from audio signal and measured vibration in multimodal contents
Junmei Kyo, Masahiro Yamataka (Aichi Univ.of Technology), Shota Abe, Shuichi Sakamoto (Tohoku Univ.), Jiro Gyoba (Shokei Gakuin Univ.), Yoiti Suzuki (Tohoku Univ.) HIP2020-80
In our previous study, we proposed a method to create whole-body vibration from audio signals of audio-visual contents, ... [more] HIP2020-80
pp.40-43
SRW, SeMI, CNR
(Joint)
2020-11-27
14:50
Online Online [Invited Lecture] Kansei Evaluation for Robots in Virtual Space -- The impression toward different robot shape --
Shun Imura, Kento Murayama, Sripian Peeraya, Midori Sugaya (SIT) CNR2020-11
(To be available after the conference date) [more] CNR2020-11
pp.30-35
MVE 2020-09-09
10:30
Online Online [Invited Talk] Understanding Sensitivity through Deep Learning
Kensuke Tobitani (Univ. of Nagasaki/Kwansei Gakuin Univ.) MVE2020-12
In recent years, machine learning techniques such as deep learning have been applied to various tasks that could not be ... [more] MVE2020-12
p.14
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