Promoting emergence in information discovery by representing collections with composition

  • Authors:

  • Andruid Kerne;Eunyee Koh;Steven Smith;Hyun Choi;Ross Graeber;Andrew Webb

  • Affiliations:

  • Texas A&M University, College Station, TX;Texas A&M University, College Station, TX;Texas A&M University, College Station, TX;Texas A&M University, College Station, TX;Texas A&M University, College Station, TX;Texas A&M University, College Station, TX

  • Venue:
  • Proceedings of the 6th ACM SIGCHI conference on Creativity & cognition
  • Year:
  • 2007

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Abstract

While sometimes the task that motivates searching, browsing, and collecting information resources is finding a particular fact, humans often engage in intellectual and creative tasks, such as comparison, understanding, and discovery. Information discovery tasks involve not only finding relevant information, but also seeing relationships among collected information resources, and developing new ideas. Prior studies of search have focused on time and accuracy, metrics of limited value for measuring creativity. We develop new experimental methods to evaluate the efficacy of representational systems for information discovery by measuring the emergence of new ideas. We also measure the variety of web sites that participants visit when engaging in a creative task, and gather experience report data. We compare the efficacy of the typical format for collections, the textual list with a new format, the composition of image and text surrogates. We conduct an experiment that establishes that representing collections with composition of image and text surrogates promotes emergence in information discovery.