Narrative Feedback via Earable Interaction to Support Embodied Running Experiences

  • Yihan Dong
  • , Xipei Ren*
  • *Corresponding author for this work

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

Abstract

This paper proposes a conceptual earable-based interaction system that supports real-time bodily reflection for endurance runners. By integrating multimodal inputs with narrative feedback generated by large language models (LLMs), the system aims to enhance runners' embodied awareness while preserving cognitive and physical flow. We highlight key challenges in sensing accuracy, feedback design, and system adaptability. This work invites the community to explore this approach for enhancing reflection during running and advancing embodied interaction paradigms.

Original languageEnglish
Title of host publicationUbiComp Companion 2025 - Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing
EditorsMichael Beigl, Giulio Jacucci, Stephan Sigg, Yu Xiao, Jakob E. Bardram, Eirini Eleni Tsiropoulou, Chenren Xu
PublisherAssociation for Computing Machinery, Inc
Pages854-856
Number of pages3
ISBN (Electronic)9798400714771
DOIs
Publication statusPublished - 29 Dec 2025
Externally publishedYes
Event2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp Companion 2025 - Espoo, Finland
Duration: 12 Oct 202516 Oct 2025

Publication series

NameUbiComp Companion 2025 - Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Conference

Conference2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp Companion 2025
Country/TerritoryFinland
CityEspoo
Period12/10/2516/10/25

Keywords

  • earables
  • embodied interaction
  • large language models
  • narrative feedback
  • reflection-in-action

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