Crowdsourcing Workshop: The Emergence of Affective Crowdsourcing

Affective computing is a multidisciplinary field that integrates theories, methods, and technologies from a variety of different disciplines, including affective science, machine learning, signal processing, and philosophy. This paper argues that affective computing would be well-served to embrace yet another discipline ‐ crowdsourcing. Likewise, this paper argues that crowdsourcing, itself a multidisciplinary field, can be well-served by incorporating theories and methods from affective computing. The commingling of affective computing and crowdsourcing creates exciting new research opportunities, several examples of which are outlined in this paper.

[1]  Jonathan Harris,et al.  We feel fine and searching the emotional web , 2011, WSDM '11.

[2]  Bill Tomlinson,et al.  Who are the crowdworkers?: shifting demographics in mechanical turk , 2010, CHI Extended Abstracts.

[3]  Brandon G. Morton,et al.  Improving music emotion labeling using human computation , 2010, HCOMP '10.

[4]  Gerardo Hermosillo,et al.  Supervised learning from multiple experts: whom to trust when everyone lies a bit , 2009, ICML '09.

[5]  O. John,et al.  Individual differences in two emotion regulation processes: implications for affect, relationships, and well-being. , 2003, Journal of personality and social psychology.

[6]  Chrysanthos Dellarocas,et al.  Harnessing Crowds: Mapping the Genome of Collective Intelligence , 2009 .

[7]  Laura A. Dabbish,et al.  Designing games with a purpose , 2008, CACM.

[8]  J. Gross,et al.  The cognitive control of emotion , 2005, Trends in Cognitive Sciences.

[9]  J. Gross.  The Emerging Field of Emotion Regulation: An Integrative Review , 1998 .

[10]  A. Isen,et al.  The influence of positive affect on the unusualness of word associations. , 1985, Journal of personality and social psychology.

[11]  Jeff Howe,et al.  Crowdsourcing: Why the Power of the Crowd Is Driving the Future of Business , 2008, Human Resource Management International Digest.

[12]  David H. Barlow,et al.  Incorporating Emotion Regulation into Conceptualizations and Treatments of Anxiety and Mood Disorders. , 2007 .

[13]  Mohammad Soleymani,et al.  Crowdsourcing for Affective Annotation of Video: Development of a Viewer-reported Boredom Corpus , 2010 .

[14]  J. Gross,et al.  Emotion elicitation using films , 1995 .

[15]  Brian A Vander Schee.  Crowdsourcing: Why the Power of the Crowd Is Driving the Future of Business , 2009 .

[16]  Anne C. Rouse,et al.  A Preliminary Taxonomy of Crowdsourcing , 2010 .

[17]  B. Fredrickson.  The broaden-and-build theory of positive emotions. , 2004, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[18]  Rosalind W. Picard,et al.  Non-contact, automated cardiac pulse measurements using video imaging and blind source separation , 2022 .