Natural affect data - Collection & annotation in a learning context

Shazia Afzal; Peter Robinson

doi:10.1109/ACII.2009.5349537

Natural affect data - Collection & annotation in a learning context

Shazia Afzal^*
, Peter Robinson

^*Corresponding author for this work

University of Cambridge

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

62 Citations (Scopus)

Abstract

Automatic inference of affect relies on representative data. For viable applications of such technology the use of naturalistic over posed data has been increasingly emphasised. Creating a repository of naturalistic data is however a massively challenging task. We report results from a data collection exercise in one of the most significant application areas of affective computing, namely computer-based learning environments. The conceptual and methodological issues encountered during the process are discussed, and problems with labelling and annotation are identified. A comparison of the compiled database with some standard databases is also presented.

Original language	English
Title of host publication	Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009
Publisher	IEEE Computer Society
ISBN (Print)	9781424447992
DOIs	https://doi.org/10.1109/ACII.2009.5349537
Publication status	Published - 2009
Externally published	Yes
Event	2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009 - Amsterdam, Netherlands Duration: 10 Sept 2009 → 12 Sept 2009

Publication series

Name	Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009

Conference

Conference	2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009
Country/Territory	Netherlands
City	Amsterdam
Period	10/09/09 → 12/09/09

Access to Document

10.1109/ACII.2009.5349537

Cite this

Afzal, S., & Robinson, P. (2009). Natural affect data - Collection & annotation in a learning context. In Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009 Article 5349537 (Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009). IEEE Computer Society. https://doi.org/10.1109/ACII.2009.5349537

Afzal, Shazia ; Robinson, Peter. / Natural affect data - Collection & annotation in a learning context. Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009. IEEE Computer Society, 2009. (Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009).

@inproceedings{7128231844d94c2687f68ab2998a9674,

title = "Natural affect data - Collection \& annotation in a learning context",

abstract = "Automatic inference of affect relies on representative data. For viable applications of such technology the use of naturalistic over posed data has been increasingly emphasised. Creating a repository of naturalistic data is however a massively challenging task. We report results from a data collection exercise in one of the most significant application areas of affective computing, namely computer-based learning environments. The conceptual and methodological issues encountered during the process are discussed, and problems with labelling and annotation are identified. A comparison of the compiled database with some standard databases is also presented.",

author = "Shazia Afzal and Peter Robinson",

year = "2009",

doi = "10.1109/ACII.2009.5349537",

language = "English",

isbn = "9781424447992",

series = "Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009",

publisher = "IEEE Computer Society",

booktitle = "Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009",

address = "United States",

note = "2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009 ; Conference date: 10-09-2009 Through 12-09-2009",

}

Afzal, S & Robinson, P 2009, Natural affect data - Collection & annotation in a learning context. in Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009., 5349537, Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009, IEEE Computer Society, 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009, Amsterdam, Netherlands, 10/09/09. https://doi.org/10.1109/ACII.2009.5349537

Natural affect data - Collection & annotation in a learning context. / Afzal, Shazia; Robinson, Peter.
Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009. IEEE Computer Society, 2009. 5349537 (Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Natural affect data - Collection & annotation in a learning context

AU - Afzal, Shazia

AU - Robinson, Peter

PY - 2009

Y1 - 2009

N2 - Automatic inference of affect relies on representative data. For viable applications of such technology the use of naturalistic over posed data has been increasingly emphasised. Creating a repository of naturalistic data is however a massively challenging task. We report results from a data collection exercise in one of the most significant application areas of affective computing, namely computer-based learning environments. The conceptual and methodological issues encountered during the process are discussed, and problems with labelling and annotation are identified. A comparison of the compiled database with some standard databases is also presented.

AB - Automatic inference of affect relies on representative data. For viable applications of such technology the use of naturalistic over posed data has been increasingly emphasised. Creating a repository of naturalistic data is however a massively challenging task. We report results from a data collection exercise in one of the most significant application areas of affective computing, namely computer-based learning environments. The conceptual and methodological issues encountered during the process are discussed, and problems with labelling and annotation are identified. A comparison of the compiled database with some standard databases is also presented.

UR - https://www.scopus.com/pages/publications/77949408526

U2 - 10.1109/ACII.2009.5349537

DO - 10.1109/ACII.2009.5349537

M3 - Conference contribution

AN - SCOPUS:77949408526

SN - 9781424447992

T3 - Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009

BT - Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009

PB - IEEE Computer Society

T2 - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009

Y2 - 10 September 2009 through 12 September 2009

ER -

Afzal S, Robinson P. Natural affect data - Collection & annotation in a learning context. In Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009. IEEE Computer Society. 2009. 5349537. (Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009). doi: 10.1109/ACII.2009.5349537

Natural affect data - Collection & annotation in a learning context

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this