Image Search based on Words Extracted from Others’ Utterances for Effective Idea Generation

People often engage in brainstorming because they want to develop attractive products that involve a new idea. Consequently, many studies, methods, and systems that aim to help people generate ideas have been proposed. We developed the search websites images using search suggestions (SWISS) system, which displays images based on a word extracted from brainstorming participants’ utterances and adds additional words using an autosuggest function to stimulate idea generation. We aimed to determine whether the images searched based on the other participants’ utterances or those of other participants were more effective for idea generation. Sixteen university students participated in a brainstorming session using SWISS in two conditions. In Condition A, the participants could see the images searched based on the other participants’ utterances. These were projected onto a wide display behind each participant during the brainstorming session. In Condition B, the participants could see the images searched based on their utterances, which were displayed on a smartphone. The results indicate that the rate at which the images were related to the ideas in Condition A was higher than in Condition B. SWISS could spread the participants’ ideas through the images using an autosuggest function and extract words from the other participants’ utterances.

@article{Yamaguchi2020,
  title     = {Image Search based on Words Extracted from Others’ Utterances for Effective Idea Generation},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {11},
  number    = {4},
  year      = {2020},
  publisher = {The Science and Information Organization},
  author    = {Yutaka Yamaguchi and Daisuke Shibata and Chika Oshima and Koichi Nakayama},
  doi       = {10.14569/IJACSA.2020.0110488},
  url       = {https://doi.org/10.14569/IJACSA.2020.0110488}
}