Skip Nav Destination
Close Modal
Update search
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
NARROW
Format
Journal
Article Type
Date
Availability
1-1 of 1
Keywords: application
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Journal Articles
Journal:
Music Perception
Music Perception (2013) 31 (2): 157–170.
Published: 01 December 2013
... listening experience for participants, and to collect real-time data on personal music listening. An application (app) was created which utilized mobile-device technology, and allowed combination of experience sampling with a personal music player. Analyses were performed on trial data from 101 participants...
Abstract
The measurement of everyday music use remains a challenge for researchers, with many of the available methodologies limited by intrusiveness or lack of ecological validity. The Experience Sampling Method (ESM) addresses such limitations by assessing current subjective experience at various times throughout participants’ everyday functioning. The aim of the current project was to develop and trial a mobile ESM (m-ESM) capable of collecting event-related data during natural listening episodes. This methodology was designed to maintain a natural and familiar listening experience for participants, and to collect real-time data on personal music listening. An application (app) was created which utilized mobile-device technology, and allowed combination of experience sampling with a personal music player. Analyses were performed on trial data from 101 participants to determine the efficacy of the m-ESM. Results indicated that this methodology would maintain ecological validity and cause minimal intrusion into everyday activities of the listener. Questionnaires were answered immediately at the time of listening, minimizing the problem of retrospective recall biases. This innovative methodology allows for the collection of a wealth of listening data that will advance the accurate measurement of everyday, personal music listening.