Tingle Just for You: A Preliminary Study of AI-based Customized ASMR Content Generation

Ji Yeon Oh, Daun Kim, Jae Yeop Jeong, Jin Woo Jeong, Elizaveta Lukianova

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

2 Scopus citations

Abstract

With the recent surge in interest in autonomous sensory meridian response (ASMR), numerous contents that stimulate the user's visual and auditory senses by using various triggers are consumed a lot. However, due to individual differences, people have different reactions to triggers, therefore, have to manually search for the content that suits their preferences. In this paper, we present an AI-based ASMR content generation service and conduct a preliminary user study to figure out its feasibility and usability. Through a user study with 42 participants, we find that the AI-based customized ASMR content generation service could be used to satisfy users. However, we could also learn about various issues to be addressed for better user experience and satisfaction, such as audio-video synchronization, appropriateness, level of noise, and so on.

Original languageEnglish
Title of host publicationCHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450394222
DOIs
StatePublished - 19 Apr 2023
EventExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, CHI EA 2023 - Hamburg, Germany
Duration: 23 Apr 202328 Apr 2023

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

ConferenceExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, CHI EA 2023
Country/TerritoryGermany
CityHamburg
Period23/04/2328/04/23

Keywords

  • AI-created Contents
  • ASMR
  • Generative model
  • Sound generation

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