Abstract and Keywords
This chapter is from the forthcoming The Oxford Handbook of Affective Computing edited by Rafael Calvo, Sidney K. D'Mello, Jonathan Gratch, and Arvid Kappas. There are a wide variety of software tools that automate various aspects of affective computing research. Researchers can increase the productivity and reproducibility of their work by reusing appropriate tools. This chapter aims to identify and describe the common tools in affective computing research. Eight hundred affective computing researchers were surveyed in order to obtain information related to the software tools used in their research. The survey collected information on programming languages and tools for data annotation, signal analysis, pattern recognition for affect classification, affect expression, and data collection. The responses of the 66 individuals who completed the survey highlight the most common tools used in affective computing research.
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