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Paper Abstract and Keywords
Presentation 2024-03-13 10:20
Exploring the impressions formed from age-specific product descriptions generated by ChatGPT
Tatsuya Maseki, Rintaro Chujo, Ari Hautasaari, Yoshihiro Kawahara, Takeshi Naemura (Tokyo Univ.) IMQ2023-26 IE2023-81 MVE2023-55
Abstract (in Japanese) (See Japanese page) 
(in English) This study explores the generation of product descriptions on flea market apps that take into account the reader’s age group using Large Language Models (LLM). We generated product descriptions for readers in their 20s and 60s using ChatGPT, which were evaluated by experiment participants from five different age groups ranging from 20s to 60s. Our results suggest that younger readers exhibit a higher purchase intention with product descriptions generated for readers in the 60s age group. Furthermore, our results suggested that politeness and reliability in product descriptions are factors that can enhance purchase intention.
Keyword (in Japanese) (See Japanese page) 
(in English) Large Lauguage Models / ChatGPT / Audience Awareness / Product Description / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 433, MVE2023-55, pp. 75-80, March 2024.
Paper # MVE2023-55 
Date of Issue 2024-03-06 (IMQ, IE, MVE) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF IMQ2023-26 IE2023-81 MVE2023-55

Conference Information
Committee IE MVE CQ IMQ  
Conference Date 2024-03-13 - 2024-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Sangyo Shien Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Media of five senses, Multimedia, Media experience, Picture codinge, Image media quality, Network,quality and reliability, etc（AC） 
Paper Information
Registration To MVE 
Conference Code 2024-03-IE-MVE-CQ-IMQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Exploring the impressions formed from age-specific product descriptions generated by ChatGPT 
Sub Title (in English)  
Keyword(1) Large Lauguage Models  
Keyword(2) ChatGPT  
Keyword(3) Audience Awareness  
Keyword(4) Product Description  
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1st Author's Name Tatsuya Maseki  
1st Author's Affiliation The University of Tokyo (Tokyo Univ.)
2nd Author's Name Rintaro Chujo  
2nd Author's Affiliation The University of Tokyo (Tokyo Univ.)
3rd Author's Name Ari Hautasaari  
3rd Author's Affiliation The University of Tokyo (Tokyo Univ.)
4th Author's Name Yoshihiro Kawahara  
4th Author's Affiliation The University of Tokyo (Tokyo Univ.)
5th Author's Name Takeshi Naemura  
5th Author's Affiliation The University of Tokyo (Tokyo Univ.)
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Speaker Author-1 
Date Time 2024-03-13 10:20:00 
Presentation Time 20 minutes 
Registration for MVE 
Paper # IMQ2023-26, IE2023-81, MVE2023-55 
Volume (vol) vol.123 
Number (no) no.430(IMQ), no.432(IE), no.433(MVE) 
Page pp.75-80 
#Pages 6 
Date of Issue 2024-03-06 (IMQ, IE, MVE) 

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