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Paper Abstract and Keywords
Presentation 2022-12-15 17:20
Investigation of the effect of individual differences and image content on preferences during image observation
Kazuki Maeda, Yuya Itagaki, Yuko Horita (Univ of Toyama)
Abstract (in Japanese) (See Japanese page) 
(in English) In the ultra-smart society, it is necessary to design services based on Quality of Experience (QoE). Generally, subjective evaluations such as questionnaires are used to evaluate QoE, but quantitative evaluation is difficult because it cannot take into account differences in user characteristics such as preferences and emotions, nor can it avoid the risk of intentional responses. On the other hand, if user preferences can be determined from changes in biometric information, quantitative evaluation becomes possible. In this study, we examine to what extent preferences during image observation are influenced by individual differences and image content using the heartbeat interval, which is biometric information.
Keyword (in Japanese) (See Japanese page) 
(in English) Heart rate interval / Machine learning / Estimation of human preference / / / / /  
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Conference Information
Committee HCGSYMPO  
Conference Date 2022-12-14 - 2022-12-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Onsite (Sunport Takamatsu) and Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To HCGSYMPO 
Conference Code 2022-12-HCGSYMPO 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Investigation of the effect of individual differences and image content on preferences during image observation 
Sub Title (in English)  
Keyword(1) Heart rate interval  
Keyword(2) Machine learning  
Keyword(3) Estimation of human preference  
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1st Author's Name Kazuki Maeda  
1st Author's Affiliation Toyama University (Univ of Toyama)
2nd Author's Name Yuya Itagaki  
2nd Author's Affiliation Toyama University (Univ of Toyama)
3rd Author's Name Yuko Horita  
3rd Author's Affiliation Toyama University (Univ of Toyama)
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Speaker Author-1 
Date Time 2022-12-15 17:20:00 
Presentation Time 25 minutes 
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