TY - JOUR
AU - Damaraju, Sashikanth
AB -  Using Metrics of Curation to Evaluate Information-Based Ideation ANDRUID KERNE and ANDREW M. WEBB, Interface Ecology Lab | Computer Science and Engineering | Texas A&M University STEVEN M. SMITH, Department of Psychology | Texas A&M University RHEMA LINDER, NIC LUPFER, YIN QU, JON MOELLER, and SASHIKANTH DAMARAJU, Interface Ecology Lab | Computer Science and Engineering | Texas A&M University Evaluating creativity support environments is challenging. Some approaches address people's experiences of creativity. The present method measures creativity, across conditions, in the products that people make. This research introduces information-based ideation (IBI), a paradigm for investigating open-ended tasks and activities in which users develop new ideas. IBI tasks span imagining, planning, and reflecting on a weekend, vacation, outfit, makeover, paper, internship, thesis, design, campaign, crisis response, career, or invention. What products do people create through engagement in IBI? Curation of digital media incorporates conceptualization, finding and choosing information objects, annotation, and synthesis. Through engagement in IBI tasks, people create curation products. This article formulates a quantitative methodology for evaluating IBI support tools, building on prior creative cognition research in engineering design to derive a battery of ideation metrics of curation. Elemental ideation metrics evaluate creativity within curated found objects. 
TI - Using Metrics of Curation to Evaluate Information-Based Ideation
JF - ACM Transactions on Computer-Human Interaction (TOCHI)
DO - 10.1145/2591677
DA - 2014-06-01
UR - https://www.deepdyve.com/lp/association-for-computing-machinery/using-metrics-of-curation-to-evaluate-information-based-ideation-e65W90J6Sy
SP - 1
VL - 21
IS - 3
DP - DeepDyve
ER -