Critiquing for Music Exploration in Conversational Recommender Systems

Wanling Cai, Yucheng Jin, Li CHEN

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

Abstract

Dialogue-based conversational recommender systems allow users to give language-based feedback on the recommended item, which has great potential for supporting users to explore the space of recommendations through conversation. In this work, we consider incorporating critiquing techniques into conversational systems to facilitate users' exploration of music recommendations. Thus, we have developed a music chatbot with three system variants, which are respectively featured with three different critiquing techniques, i.e., user-initiated critiquing (UC), progressive system-suggested critiquing (Progressive SC), and cascading system-suggested critiquing (Cascading SC). We conducted a between-subject study (N=107) to compare these three types of systems with regards to music exploration in terms of user perception and user interaction. Results show that both UC and SC are useful for music exploration, while users perceive higher diversity of recommendations with the system that offers Cascading SC and perceive more serendipitous with the system that offers Progressive SC. In addition, we find that the critiquing techniques significantly moderate the relationships between some interaction metrics (e.g., number of listened songs, number of dialogue turns) and users' perceived helpfulness and serendipity during music exploration.

Original languageEnglish
Title of host publication26th International Conference on Intelligent User Interfaces, IUI 2021
PublisherAssociation for Computing Machinery
Pages480-490
Number of pages11
ISBN (Electronic)9781450380171
DOIs
Publication statusPublished - 14 Apr 2021
Event26th International Conference on Intelligent User Interfaces: Where HCI Meets AI, IUI 2021 - Virtual, Online, United States
Duration: 14 Apr 202117 Apr 2021

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI

Conference

Conference26th International Conference on Intelligent User Interfaces: Where HCI Meets AI, IUI 2021
Country/TerritoryUnited States
CityVirtual, Online
Period14/04/2117/04/21

Scopus Subject Areas

  • Software
  • Human-Computer Interaction

User-Defined Keywords

  • conversational interaction
  • conversational recommender systems
  • critiquing
  • music exploration

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