Intentional affect: An alternative notion of affective interaction with a machine

Shazia Afzal; Cecily Morrison; Peter Robinson

doi:10.14236/ewic/hci2009.45

Intentional affect: An alternative notion of affective interaction with a machine

Shazia Afzal^*, Cecily Morrison, Peter Robinson

^*Corresponding author for this work

University of Cambridge

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

2 Citations (Scopus)

Abstract

Affective Computing envisages truly effective human-machine interactions as being affect-sensitive. The field is both motivated and influenced by an understanding of emotion in an environment, that of person to person, that differs from its eventual application, person to machine. Analysing data obtained in a potential application environment - computer-assisted learning - we highlight the limitations of such an understanding and propose an alternative stance to affect, that of intentional affective interaction.

Original language	English
Title of host publication	People and Computers XXIII Celebrating People and Technology - Proceedings of HCI 2009
Publisher	British Computer Society
Pages	370-374
Number of pages	5
ISBN (Print)	9781906124878
DOIs	https://doi.org/10.14236/ewic/hci2009.45
Publication status	Published - 2009
Externally published	Yes
Event	23rd Annual Conference on Human Computer Interaction, HCI 2009 - Cambridge, United Kingdom Duration: 1 Sept 2009 → 5 Sept 2009

Publication series

Name	People and Computers XXIII Celebrating People and Technology - Proceedings of HCI 2009

Conference

Conference	23rd Annual Conference on Human Computer Interaction, HCI 2009
Country/Territory	United Kingdom
City	Cambridge
Period	1/09/09 → 5/09/09

Keywords

Affective Computing
Computer-assisted learning
Emotion recognition

Access to Document

10.14236/ewic/hci2009.45

Cite this

Afzal, S., Morrison, C., & Robinson, P. (2009). Intentional affect: An alternative notion of affective interaction with a machine. In People and Computers XXIII Celebrating People and Technology - Proceedings of HCI 2009 (pp. 370-374). (People and Computers XXIII Celebrating People and Technology - Proceedings of HCI 2009). British Computer Society. https://doi.org/10.14236/ewic/hci2009.45

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title = "Intentional affect: An alternative notion of affective interaction with a machine",

abstract = "Affective Computing envisages truly effective human-machine interactions as being affect-sensitive. The field is both motivated and influenced by an understanding of emotion in an environment, that of person to person, that differs from its eventual application, person to machine. Analysing data obtained in a potential application environment - computer-assisted learning - we highlight the limitations of such an understanding and propose an alternative stance to affect, that of intentional affective interaction.",

keywords = "Affective Computing, Computer-assisted learning, Emotion recognition",

author = "Shazia Afzal and Cecily Morrison and Peter Robinson",

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Afzal, S, Morrison, C & Robinson, P 2009, Intentional affect: An alternative notion of affective interaction with a machine. in People and Computers XXIII Celebrating People and Technology - Proceedings of HCI 2009. People and Computers XXIII Celebrating People and Technology - Proceedings of HCI 2009, British Computer Society, pp. 370-374, 23rd Annual Conference on Human Computer Interaction, HCI 2009, Cambridge, United Kingdom, 1/09/09. https://doi.org/10.14236/ewic/hci2009.45

Intentional affect: An alternative notion of affective interaction with a machine. / Afzal, Shazia; Morrison, Cecily; Robinson, Peter.
People and Computers XXIII Celebrating People and Technology - Proceedings of HCI 2009. British Computer Society, 2009. p. 370-374 (People and Computers XXIII Celebrating People and Technology - Proceedings of HCI 2009).

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

TY - GEN

T1 - Intentional affect

T2 - 23rd Annual Conference on Human Computer Interaction, HCI 2009

AU - Afzal, Shazia

AU - Morrison, Cecily

AU - Robinson, Peter

PY - 2009

Y1 - 2009

N2 - Affective Computing envisages truly effective human-machine interactions as being affect-sensitive. The field is both motivated and influenced by an understanding of emotion in an environment, that of person to person, that differs from its eventual application, person to machine. Analysing data obtained in a potential application environment - computer-assisted learning - we highlight the limitations of such an understanding and propose an alternative stance to affect, that of intentional affective interaction.

AB - Affective Computing envisages truly effective human-machine interactions as being affect-sensitive. The field is both motivated and influenced by an understanding of emotion in an environment, that of person to person, that differs from its eventual application, person to machine. Analysing data obtained in a potential application environment - computer-assisted learning - we highlight the limitations of such an understanding and propose an alternative stance to affect, that of intentional affective interaction.

KW - Affective Computing

KW - Computer-assisted learning

KW - Emotion recognition

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DO - 10.14236/ewic/hci2009.45

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SN - 9781906124878

T3 - People and Computers XXIII Celebrating People and Technology - Proceedings of HCI 2009

SP - 370

EP - 374

BT - People and Computers XXIII Celebrating People and Technology - Proceedings of HCI 2009

PB - British Computer Society

Y2 - 1 September 2009 through 5 September 2009

ER -

Afzal S, Morrison C, Robinson P. Intentional affect: An alternative notion of affective interaction with a machine. In People and Computers XXIII Celebrating People and Technology - Proceedings of HCI 2009. British Computer Society. 2009. p. 370-374. (People and Computers XXIII Celebrating People and Technology - Proceedings of HCI 2009). doi: 10.14236/ewic/hci2009.45

Intentional affect: An alternative notion of affective interaction with a machine

Abstract

Publication series

Conference

Keywords

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