Self-Referential Review: Exploring the Impact of Self-Reference Effect in Review

被引：0

作者：

Kim, Kyusik ^{[1
]}

Song, Hyungwoo ^{[1
]}

Suh, Bongwon ^{[1
]}

机构：

[1] Seoul Natl Univ, Human Ctr Comp Lab, Seoul, South Korea

来源：

PROCEEDINGS OF THE 47TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, SIGIR 2024 | 2024年

基金：

新加坡国家研究基金会;

关键词：

Self-Reference Effect; Review; Information Retrieval; User Study; ALZHEIMERS-DISEASE; ONLINE REVIEWS; HOTEL REVIEWS; MEMORY; EXPERIENCE; DEMENTIA; SEARCH; WEB;

D O I：

10.1145/3626772.3657969

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The self-reference effect is a psychological phenomenon where information relating to oneself is processed more deeply and remembered more effectively than other information. We propose "self-referential reviews," crafted by merging personal information with existing reviews using the novel "Self-Referential Review-Maker" prototype, which leverages Large Language Models (LLMs). The essence of the "self-referential review" lies in harnessing the self-reference effect, making the readers feel as if they are the protagonist of the review. To validate the efficacy of self-referential reviews, we conducted a user study focusing on online reviews with thirty-four participants. The contributions of our paper are centered around self-referential reviews, highlighting (1) the creation of these reviews using our new prototype, Self-Referential ReviewMaker, (2) their effectiveness in enhancing review helpfulness through the self-reference effect, and (3) the identification of additional factors influencing the self-reference effect with further discussion on enhancing user-focused review systems.

引用

页码：2624 / 2628

页数：5

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