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An improved botanical search application for middle- and high-school students

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Abstract

A previously reported botanical data retrieval application has been improved to make it better suited for use in middle- and high-school science classes. This search interface is ring-structured and treats multi-faceted metadata intuitively, enabling students not only to search for plant names but also to learn about the morphological features and taxonomy of plants. A usability test with 20 middle- and high-school science teachers was performed to identify any problems with using this application in the classroom. Four problems were thereby identified, and the application interface was improved by changing how candidates are arranged and displayed, deleting the double-tap operation, and adding a bookmarking function. The effectiveness of the improved application was then evaluated by having 50 middle- and high-school students use it in group work. The results showed that they could more easily find plant names by simply rotating the search rings and could more easily analyze the information by quickly recognizing the features of retrieved plants. The improved application also better helped the students learn about plants on their own during the search process.

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Notes

  1. http://www.sciencekids.co.nz/gamesactivities.html

  2. http://www.sciencekids.co.nz/gamesactivities.html

  3. http://www.google.com/imghp

  4. http://www.ratio.co.jp/english/info/profile.html

References

  • Alsallakh, B., Aigner, W., Miksch, S., & Hauser, H. (2013). Radial sets: interactive visual analysis of large overlapping sets. IEEE Transactions on Visualization and Computer Graphics, 19(12), 2496–2505. doi:10.1109/TVCG.2013.184.

    Article  Google Scholar 

  • Burke, R. D., Hammond, K. J., & Young, B. C. (1996). Knowledge-based navigation of complex information spaces. In Proceedings of the 13th National Conference on Artificial Intelligence, 462–468. doi:10.1145/332040.332491.

  • Chen, T., Cheng, M.-M., Tan, P., Shamir A., & Hu, S.-M. (2009). Sketch2photo: Internet image montage. In Proceedings of SIGGRAPH Asia’09, 1–10. doi:10.1145/1618452.1618470.

  • Chen, C., Tseng, F. S. C., & Liang, T. T. (2011). An integration of fuzzy association rules and WordNet for document clustering. Knowledge and Information Systems, 28(3), 687–708. doi:10.1007/s10115-010-0364-2.

    Article  Google Scholar 

  • Dork, M., Henry, R. N., Ramos, G., & Dumais, S. (2012). PivotPaths: strolling through faceted information spaces. IEEE Transactions on Visualization and Computer Graphics, 18(12), 2709–2718. doi:10.1109/TVCG.2012.252.

    Article  Google Scholar 

  • Hearst, M. A. (2006). Clustering versus faceted categories for information exploration. Communications of the ACM, 49(4), 59–61. doi:10.1145/1121949.1121983.

    Article  Google Scholar 

  • Hutchinson, H. B., Bederson, B. B., & Druin, A. (2006). The evolution of the international children’s digital library searching and browsing interface. In Proceedings of the 2006 Conference on Interaction Design and Children (IDC’06), 105–112. doi:10.1145/1139073.1139101.

  • Kajiyama, T. (2011). Botanical data retrieval system supporting discovery learning. In Proceedings of the 1st ACM International Conference on Multimedia Retrieval (ICMR 2011), 7 pages. doi:10.1145/1991996.1992032.

  • Kajiyama, T., & Satoh, S. (2014). An interaction model between human and system for intuitive graphical search interface. International Journal of Knowledge and Information Systems, 39(1), 41–60. doi:10.1007/s10115-012-0611-9.

    Article  Google Scholar 

  • Kajiyama, T., Kando, N., & Satoh, S. (2005). Examination and enhancement of a ring-structured graphical search interface based on usability testing. In Proceedings of the 28th annual international ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’05), 623–624. doi:10.1145/1076034.1076159.

  • Kleinen, A., Scherp, A., & Staab, S. (2014). Interactive faceted search and exploration of open social media data on a touchscreen mobile phone. Multimedia Tools and Applications., 71(1), 39–60. doi:10.1007/s11042-013-1366-3.

    Article  Google Scholar 

  • Laporte, M., Garnier, E., & Mougenot, I. (2013). A faceted search system for facilitating discovery-driven scientific activities: a use case from functional ecology. In Proceedings of the 1st International Workshop on Semantics for Biodiversity, 25–36.

  • Lew, M. S., Sebe, N., Djeraba, C., & Jain, R. (2006). Content-based multimedia information retrieval, state of the art and challenges. ACM Transactions on Multimedia Computing, Communications, and Applications, 2(1), 1–19. doi:10.1145/1126004.1126005.

    Article  Google Scholar 

  • Luo, Y., Liu, W., Liu, J., & Tang, X. (2008). Mqsearch: Image search by multi-class query. In Proceedings of the 26th Annual SIGCHI Conference on Human Factors in Computing Systems (CHI’08), 49–52. doi:10.1145/1357054.1357063.

  • Marcelo, A., Bernard, G. C., Evgeny, K., Sarunas, M., Dmitriy, Z., & Ernesto, J. (2014). SemFacet: Semantic faceted search over Yago. In Proceedings of the Companion Publication of the 23rd International Conference on World Wide Web Companion, 123–126, doi :10.1145/2567948.2577011.

  • Nguyen, G. P., & Worring, M. (2008). Optimization of interactive visual-similarity-based search. ACM Transactions on Multimedia Computing, Communications, and Applications, 4(1), Article No. 7. doi:10.1145/1324287.1324294.

  • Seifert, C., Jurgovsky, J., & Granitzer, M. (2014). FacetScape: A visualization for exploring the search space. In Proceedings of the 18th International Conference on Information Visualisation, 94–101. doi: 10.1109/IV.2014.49.

  • Smith, J. R., & Chang, S.-F. (1996). Visualseek: A fully automated content-based image query system. In Proceedings of the 4th ACM International Conference on Multimedia (MM96), 87–98. doi:10.1145/244130.244151.

  • Soylu, A., Giese, M., Jimenez-Ruiz, E., Kharlamov, E., Zheleznyakov, D., & Horrocks, I. (2014). Towards exploiting query history for adaptive ontology-based visual query formulation. In Proceedings of the 8th International Conference on Metadata and Semantic Research, 478, 107–119. doi; 10.1007/978-3-319-13674-5_11.

  • Xu, H, Wang, J., Hua, X., & Li, S. (2010). Interactive image search by 2D semantic map. In Proceedings of the 19th International Conference on World Wide Web (WWW’10), 1321–1324. doi:10.1145/1772690.1772912.

  • Zavesky, E., & Chang, S.-F. (2008). CuZero: Embracing the frontier of interactive visual search for informed users. In Proceedings of the 1st International Conference on Multimedia Information Retrieval (MIR’08), 237–244. doi:10.1145/1460096.1460136.

  • Zha, Z.-J., Yang, L., Mei, T., Wang, M., & Wang, Z. (2009). Visual query suggestion. In Proceedings of the 17th ACM International Conference on Multimedia (MM’09), 15–24 doi:10.1145/1631272.1631278.

  • Zhang, J., & Marchionini, G. (2005). Evaluation and evolution of a browse and search interface: Relation browser++. In Proceedings of the 2005 National Conference on Digital Government Research, 179–188.

  • Zhang, H., Durbin, M., Dunn, J., Cowan, W., & Wheeler, B. (2012). Faceted search for heterogeneous digital collections. In Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries, 425–426, doi:10.1145/2232817.2232924.

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Correspondence to Tomoko Kajiyama.

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Kajiyama, T. An improved botanical search application for middle- and high-school students. Educ Inf Technol 21, 1821–1836 (2016). https://doi.org/10.1007/s10639-015-9421-5

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