An EEG-based approach for evaluating audio notifications under ambient sounds

Yi Chieh Lee, Wen-Chieh Lin, Jung Tai King, Li-Wei Ko, Yu Ting Huang, Fu Yin Cherng

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

11 Scopus citations

Abstract

Audio notifications are an important means of prompting users of electronic products. Although useful in most environments, audio notifications are ineffective in certain situations, especially against particular auditory backgrounds or when the user is distracted. Several studies have used behavioral performance to evaluate audio notifications, but these studies failed to achieve consistent results due to factors including user subjectivity and environmental differences; thus, a new method and more objective indicators are necessary. In this study, we propose an approach based on electroencephalography (EEG) to evaluate audio notifications by measuring users' auditory perceptual responses (mismatch negativity) and attention shifting (P3a). We demonstrate our approach by applying it to the usability testing of audio notifications in realistic scenarios, such as users performing a major task amid ambient noises. Our results open a new perspective for evaluating the design of the audio notifications.

Original languageEnglish
Title of host publicationCHI 2014
Subtitle of host publicationOne of a CHInd - Conference Proceedings, 32nd Annual ACM Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
Pages3817-3826
Number of pages10
ISBN (Print)9781450324731
DOIs
StatePublished - 1 Jan 2014
Event32nd Annual ACM Conference on Human Factors in Computing Systems, CHI 2014 - Toronto, ON, Canada
Duration: 26 Apr 20141 May 2014

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference32nd Annual ACM Conference on Human Factors in Computing Systems, CHI 2014
CountryCanada
CityToronto, ON
Period26/04/141/05/14

Keywords

  • Audio notifications
  • Electroencephalography (EEG)
  • Human cognition
  • Mismatch negativity
  • Usability testing

Fingerprint Dive into the research topics of 'An EEG-based approach for evaluating audio notifications under ambient sounds'. Together they form a unique fingerprint.

Cite this