Enhancing Crowd Creativity as Innovation via Teamwork: Dataset

<p>These data files correspond to the results produced in the following paper currently accepted for publication.</p> <p>Pradeep K. Murukannaiah, Nirav Ajmeri, and Munindar P. Singh. 2022. Enhancing Creativity as Innovation via Asynchronous Crowdwork. In Proceedings of the 14th ACM Web Science Conference. Pages 1--9. To Appear.</p> <p>----------<br> Data files<br> ----------</p> <p>* all_scenarios.csv: 1,823 scenarios produced by MTurk workers</p> <p>* rated_scenarios.csv: 639 scenarios rated for creativity by three authors (700 scenarios were randomly selected for rating. 61 scenarios of these 700 scenarios were unclear or irrelevant and thus were discarded)</p> <p>* creativity.csv: data for RQ1 (Creativity)</p> <p>* personality-creativty.csv and team-composition-creativity.csv: data for RQ2 (Personality)</p> <p>* efficiency.csv: data for RQ3 (Efficiency)</p> <p>* emotions.csv: data for RQ4 (Emotions)</p>