MOODs: Building massive open online diaries for researchers, teachers and contributors.
In: Jones, M and Palanque, P and Schmidt, A and Grossman, T, (eds.)
CHI EA '14: CHI '14 Extended Abstracts on Human Factors in Computing Systems.
(pp. 2281 - 2286).
Association for Computing Machinery (ACM): New York, NY, United States.
Iacovides_MOODS (Gould et al.%2C 2014).pdf
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Internet-based research conducted in partnership with paid crowdworkers and volunteer citizen scientists is an increasingly common method for collecting data from large, diverse populations. We wanted to leverage web-based citizen science to gain insights into phenomena that are part of people's everyday lives. To do this, we developed the concept of a Massive Open Online Diary (MOOD). A MOOD is a tool for capturing, storing and presenting short updates from multiple contributors on a particular topic. These updates are aggregated into public corpora that can be viewed, analysed and shared. MOODs offer a novel method for crowdsourcing diary-like data in a way that provides value for researchers, teachers and contributors. MOODs also come with unique community-building and ethical challenges. We describe the benefits and challenges of MOODs in relation to Errordiary.org, a MOOD we created to aid our exploration of human error.
|Title:||MOODs: Building massive open online diaries for researchers, teachers and contributors|
|Event:||Conference on Human Factors in Computing Systems|
|Open access status:||An open access version is available from UCL Discovery|
|Additional information:||ACM New York, NY, USA © 2014.|
|UCL classification:||UCL > School of Life and Medical Sciences
UCL > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > School of Life and Medical Sciences > Faculty of Brain Sciences > Psychology and Language Sciences (Division of) > UCL Interaction Centre
UCL > School of BEAMS > Faculty of Engineering Science
UCL > School of BEAMS > Faculty of Engineering Science > Computer Science
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