The Influence of a Robot Recommender System on Impulse Buying Tendency

Ching Chih Tsao, Cheng Yi Tang, Yu Wen Chang, Yin Hsuan Sung, Shih Yi Chien, Szu Yin Lin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The present study examines the influences of a robot recommender system on human impulse buying tendency in online e-commerce contexts. An empirical user study was conducted, where different marketing strategies (limited quantity vs. discount rate) were applied to the products and intimate designs were utilized for the robotic agent. An electroencephalogram (EEG) headset was used to capture users' brain activities, which allowed us to investigate participants' real-time cognitive perceptions toward different experimental conditions (i.e., marketing plans and robotic agents). Our preliminary results reveal that marketing strategies and robot recommender applications can trigger impulsive buying behavior and contribute to different cognitive activities.

Original languageEnglish
Title of host publicationHRI 2023 - Companion of the ACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE Computer Society
Pages672-676
Number of pages5
ISBN (Electronic)9781450399708
DOIs
StatePublished - 13 Mar 2023
Event18th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2023 - Stockholm, Sweden
Duration: 13 Mar 202316 Mar 2023

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
ISSN (Electronic)2167-2148

Conference

Conference18th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2023
Country/TerritorySweden
CityStockholm
Period13/03/2316/03/23

Keywords

  • decision-making
  • electroencephalogram (EEG)
  • empirical study
  • human-robot interaction
  • impulsive buying

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