Graduate Student, Communication (Affiliate)
Broadly, my research focuses on how features of new media technology affect users. I am interested in how the affordances of new media that are unavailable in more traditional sources affect learning and motivation, specifically. For example, my research at UConn has examined how collaborative filtering information (e.g. numbers of likes and shares) affect information processing. I have also explore how users motivations for using mHealth technology affect their perceptions of that technology. My hope is that my research not only helps us better understand how new media affect audiences, but how we can better design and utilize features to help people live more informed, empowered, lives.
BA – Washington University in St. Louis, 2004, Comparative Literature & Italian
MS – Univ of Kansas, 2010, Journalism & Mass Communications.
DeVoss, C. and Oeldorf-Hirsch, A. (2016, August, accepted for presentation) The Effect of Collaborative Filtering on Online News Processing. Paper to be presented at the annual meeting for the Association for Education in Journalism and Mass Communication, Minneapolis, MN.
DeVoss, C. and Bellur, S. (2016) Self-health: Self-Determination Theory, Technology Acceptance and mHealth Applications. Paper to be presented at the 2016 annual convention of the National Communication Association, Philadelphia, PA.
Merceron, A., Wang, Y., Rogers, D., and DeVoss, C. (2014, June) Understanding the Effect of Affective Priming on Health News Processing and Health Information Seeking Intention Over Time. Poster presented at the annual meeting of the Association for Education in Journalism and Mass Communication, Montreal, Canada.
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