NDLI: A self-report study that gauges perceived and induced emotion with music

Content Provider	IEEE Xplore Digital Library
Author	Griffiths, D. Cunningham, S. Weinel, J.
Copyright Year	2015
Description	Author affiliation: Creative & Appl. Res. for the Digital Soc. (CARDS), Glyndwr Univ., Wrexham, UK (Griffiths, D.; Cunningham, S.; Weinel, J.)
Abstract	This paper discusses a particular study that gauges emotion with respect to music by means of an online self-report survey. This is part of the ongoing construct of an intelligent mobile music player application that will adjudicate one's activity, environmental context, and physiological state. The study was structured so as to acquire emotional information by giving each participant a discrete affect word including `happy', `excited', `angry', `afraid', `miserable', `sad', `tired', and `relaxed'. Each affect word that was selected for a given song was corroborated by a degree of intensity using 5-point scale. The fundamental objective of this study was to measure as to how each song could be described emotionally, and how each song made them feel emotionally. Pearson's Chi-Squared concluded that 95% of the ratings for both `described' and `induced' emotions were statistically significant. The corresponding results were scaled to the proposed circular-based emotional model based on Russell's Circumplex model of emotion, by converting both the emotional ratings to polar coordinates. Further analysis of the data subsequently showed that the affect words that represent music could be given some granularity around the perimeter of the circle by expanding upon particular properties of Russell's circular ordering of affect words. Lastly, this paper concludes with a Section that outlines the future work for this research.
Starting Page	239
Ending Page	244
File Size	990262
Page Count	6
File Format	PDF
ISBN	9781479980369
e-ISBN	9781467395571
DOI	10.1109/ITechA.2015.7317402
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-08
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Affective computing Sleep Psychology Fires Machine learning Rocks Physiology Automatic playlist generation Audio feature extraction Music and emotion
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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