Motivating expressive writing with a text-to-sound application

Authors:
Amy L. Gonzales;Tiffany Y. Ng;OJ Zhao;Geri Gay
Affiliations:
Cornell University, Ithaca, NY, USA;Cornell University, Ithaca, NY, USA;Cornell University, Ithaca, NY, USA;Cornell University, Ithaca, NY, USA
Venue:
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Year:
2010

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Abstract

Writing about emotional experiences has been shown to have long-term physical and mental health benefits, but it also creates short-term discomfort. We designed a system to motivate expressive writing by enhancing enjoyment and pleasure. Using automated language analysis, we designed a system that maps sound onto categories of language resulting in a musical interpretation of expressive writing texts. An experimental design compared the experience of 126 participants across musical and non-musical writing platforms Participants found the musical system to be more pleasurable.