System to Induce Accepting Unconsidered Information by Connecting Current Interests: Proof of Concept in Snack Purchasing Scenarios

Taku Tokunaga, Hiromu Motomatsu, Kenji Sugihara, Honoka Ozaki, Mari Yasuda, Yugo Nakamura, Yutaka Arakawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a purchasing support system for offline stores that can present information to users without being evasive by interactively presenting a small amount of product information according to their interest in the product as predicted by the system. We design and implement a proof-of-concept system for an actual use case scenario: a snack purchasing area in an office. We evaluated the effectiveness of the proposed system through a snack purchasing experiment with 11 participants. Experimental results suggest that the proposed method can induce user interest and encourage viewing and that some users may receive and consider the information presented while making a purchase.

Original languageEnglish
Title of host publicationPersuasive Technology - 18th International Conference, PERSUASIVE 2023, Proceedings
EditorsAlexander Meschtscherjakov, Cees Midden, Jaap Ham
PublisherSpringer Science and Business Media Deutschland GmbH
Pages105-119
Number of pages15
ISBN (Print)9783031309328
DOIs
Publication statusPublished - 2023
Event18th International Conference on Persuasive Technology, PERSUASIVE 2023 - Eindhoven, Netherlands
Duration: Apr 19 2023Apr 21 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13832 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Persuasive Technology, PERSUASIVE 2023
Country/TerritoryNetherlands
CityEindhoven
Period4/19/234/21/23

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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