Journal of the Ergonomics Society of Korea (대한인간공학회지)

Ergonomics Society of Korea (대한인간공학회)
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Mapping Studies on Visual Search, Eye Movement, and Eye track by Bibliometric Analysis

  • Rhie, Ye Lim (Department of Industrial Engineering, Seoul National University) ;
  • Lim, Ji Hyoun (School of Design and Human Engineering, Ulsan National Institute of Science and Technology) ;
  • Yun, Myung Hwan (Department of Industrial Engineering, Seoul National University)
  • Received : 2015.04.03
  • Accepted : 2015.05.06
  • Published : 2015.10.31
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Abstract

Objective: The aim of this study is to understand and identify the critical issues in vision research area using content analysis and network analysis. Background: Vision, the most influential factor in information processing, has been studied in a wide range of area. As studies on vision are dispersed across a broad area of research and the number of published researches is ever increasing, a bibliometric analysis towards literature would assist researchers in understanding and identifying critical issues in their research. Method: In this study, content and network analysis were applied on the meta-data of literatures collected using three search keywords: 'visual search', 'eye movement', and 'eye tracking'. Results: Content analysis focuses on extracting meaningful information from the text, deducting seven categories of research area; 'stimuli and task', 'condition', 'measures', 'participants', 'eye movement behavior', 'biological system', and 'cognitive process'. Network analysis extracts relational aspect of research areas, presenting characteristics of sub-groups identified by community detection algorithm. Conclusion: Using these methods, studies on vision were quantitatively analyzed and the results helped understand the overall relation between concepts and keywords. Application: The results of this study suggests that the use of content and network analysis helps identifying not only trends of specific research areas but also the relational aspects of each research issue while minimizing researchers' bias. Moreover, the investigated structural relationship would help identify the interrelated subjects from a macroscopic view.

Keywords

References

  1. Allen, L., Jones, C., Dolby, K., Lynn, D. and Walport, M., Looking for landmarks: The role of expert review and bibliometric analysis in evaluating scientific publication outputs, PLoS One, 4(6):e5910, 2009. doi: 10.1371/journal.pone.0005910
  2. Barnes, G.R., Cognitive Processes involved in smooth pursuit eye movements, Brain and cognition 68(3), 309-326, 2008. https://doi.org/10.1016/j.bandc.2008.08.020
  3. Bhattacharya, S. and Basu, P., Mapping a research area at the micro level using co-word analysis, Scientometrics, 43(3), 359-372, 1998. https://doi.org/10.1007/BF02457404
  4. Borgatti, S.P., NetDraw, Graph visualization software, Harvard: Analytic Technologies, 2002.
  5. Borgatti, S.P., Everett, M.G. and Freeman, L.C., Ucinet for Windows: Software for social network analysis, 2002.
  6. Borgatti, S.P., Mehra, A., Brass, D.J. and Labianca, G., Network analysis in the social sciences, Science, 323(5916), 892-895, 2009. https://doi.org/10.1126/science.1165821
  7. Braddick, O. and Atkinson, J., Development of human visual function, Vision research, 51(13), 1588-1609, 2011. https://doi.org/10.1016/j.visres.2011.02.018
  8. Broadus, R.N., Toward a definition of "Bibliometrics", Scientometrics, 12(5), 373-379, 1987. https://doi.org/10.1007/BF02016680
  9. Callon, M., Courtial, J.P., Turner, W.A. and Bauin, S., From translations to problematic networks: An introduction to co-word analysis, Social science information, 22(2), 191-235, 1983. https://doi.org/10.1177/053901883022002003
  10. Carrasco, M., Visual Attention, The past 25 years, Vision research, 51(13), 1484-1525, 2011. https://doi.org/10.1016/j.visres.2011.04.012
  11. Cavanagh, P., Visual Cognition, Vision research, 51(13), 1538-1551, 2011. https://doi.org/10.1016/j.visres.2011.01.015
  12. Cronin, B. and Overfelt, K., The scholar's courtesy: A survey of acknowledgement behaviour, Journal of Documentation, 50(3), 165-196, 1994. https://doi.org/10.1108/eb026929
  13. Deubel, H. and Schneider, W.X., Saccade target selection and object recognition: evidence for a common attentional mechanism. Vision research, 36(12), 1827-1837, 1996. https://doi.org/10.1016/0042-6989(95)00294-4
  14. Downe-Wamboldt, B., Content Analysis: Method, applications, and issues, Health care for women international, 13(3), 313-321, 1992. https://doi.org/10.1080/07399339209516006
  15. Eriksen, C.W. and Schultz, D.W., Information processing in visual search: A Continuous flow conception and experimental results, Perception & Psychophysics, 25(4), 249-263, 1979. https://doi.org/10.3758/BF03198804
  16. Estabrooks, C.A., Winther, C. and Derksen, L., Mapping the field: A bibliometric analysis of the research utilization literature in nursing, Nursing research, 53(5), 293-303, 2004. https://doi.org/10.1097/00006199-200409000-00003
  17. Freeman, L.C., The development of social network analysis, Empirical Press Vancouver, 2004.
  18. Freeman, L.C., A set of measures of centrality based on betweenness, Sociometry, 35-41, 1977.
  19. Girvan, M. and Newman, M.E., Community structure in social and biological networks, Proceedings of the National Academy of Sciences, 99(12), 7821-7826, 2002. https://doi.org/10.1073/pnas.122653799
  20. Guba, E.G. and Lincoln S.Y., Competing paradigms in qualitative research, Handbook of qualitative research, 2, 163-194, 1994.
  21. Haythornthwaite, C., Social network analysis, An Approach and technique for the study of information exchange, Library & Information Science Research, 18(4), 323-342, 1996. https://doi.org/10.1016/S0740-8188(96)90003-1
  22. Hoffman, J.E. and Subramaniam, B., The role of visual attention in saccadic eye movements, Perception & Psychophysics, 57(6), 787-795, 1995. https://doi.org/10.3758/BF03206794
  23. Hood, W. and Wilson, C., The literature of bibliometrics, scientometrics, and informetrics, Scientometrics, 52(2), 291-314, 2001. https://doi.org/10.1023/A:1017919924342
  24. Kim, G.W., Lim, J.H., Choi, H. and Yun, M.H., Adopting network analysis methods for contextual inquiry: the keyword structure representation of a web behavior, Proceedings of the HFES Annual Meeting, 2012.
  25. Koch, C. and Ullman, S., Shifts in selective visual attention: Towards the underlying neural circuitry, In Matters of Intelligence, 115-141, Springer, 1987.
  26. Kondracki, N.L., Wellman, N.S. and Amundson, D.R., Content analysis: Review of methods and their applications in nutrition education, Journal of nutrition education and behavior, 34(4), 224-230, 2002. https://doi.org/10.1016/S1499-4046(06)60097-3
  27. Kowler, E., Eye movements: The past 25 years, Vision research, 51(13), 1457-1483, 2011. https://doi.org/10.1016/j.visres.2010.12.014
  28. Kowler, E., Anderson, E., Dosher, B. and Blaser, E., The role of attention in the programming of saccades, Vision research, 35(13), 1897-1916, 1995. https://doi.org/10.1016/0042-6989(94)00279-U
  29. Kretschmer, H. and Aguillo, I., Visibility of collaboration on the web, Scientometrics, 61(3), 405-426, 2004. https://doi.org/10.1023/B:SCIE.0000045118.68430.fd
  30. Mayring, P., Qualitative content analysis, Paper presented at the Forum qualitative sozialforschung/forum: qualitative social research, 2000.
  31. Mele, M.L. and Federici, S., A psychotechnological review on eye-tracking systems: Towards user experience, Disability and Rehabilitation: Assistive Technology, 7(4), 261-281, 2012. https://doi.org/10.3109/17483107.2011.635326
  32. Morgan, D.L., Qualitative content analysis: a guide to paths not taken, Qualitative health research, 3(1), 112, 1993. https://doi.org/10.1177/104973239300300107
  33. O'Regan, J.K., Optimal viewing position in words and the strategy-tactics theory of eye movements in reading, Eye Movements and Visual Cognition, 333-354, Springer, 1992.
  34. Opsahl, T., Agneessens, F. and Skvoretz, J., Node centrality in weighted networks: Generalizing degree and shortest paths, Social Networks, 32(3), 245-251, 2010. https://doi.org/10.1016/j.socnet.2010.03.006
  35. Otte, E. and Rousseau, R., Social network analysis: A powerful strategy, also for the information sciences, Journal of information Science, 28(6), 441-453, 2002. https://doi.org/10.1177/016555150202800601
  36. Owsley, C. and McGwin, G., Vision and driving, Vision research, 50(23), 2348-2361, 2010. https://doi.org/10.1016/j.visres.2010.05.021
  37. Porter, A.L. and Cunningham, S.W., Tech mining, Competitive Intelligence Magazine, 8(1), 30-36, 2005.
  38. Price, D.S., A General theory of bibliometric and other cumulative advantage processes, Journal of the American Society for Information Science, 27(5), 292-306, 1976. https://doi.org/10.1002/asi.4630270505
  39. Pritchard, A., Statistical bibliography or bibliometrics, Journal of documentation, 25(4), 348-349, 1969.
  40. Rayner, K., Eye movements and attention in reading, scene perception, and visual search, The quarterly journal of experimental psychology, 62(8), 1457-1506, 2009. https://doi.org/10.1080/17470210902816461
  41. Rayner, K., Eye movements in reading and information processing: 20 years of research, Psychological bulletin, 124(3), 372, 1998. https://doi.org/10.1037/0033-2909.124.3.372
  42. Rensink, R.A., Seeing, sensing, and scrutinizing, Vision research, 40(10-12), 1469-1487, 2000. https://doi.org/10.1016/S0042-6989(00)00003-1
  43. Saka, A. and Igami, M., Mapping modern science using co-citation analysis, proceedings of the Information Visualization, 2007.
  44. Rhie, Y.L., Lim, J.H. and Yun, M.H., A Content Analysis of the Trends in Vision Research With Focus on Visual Search, Eye Movement, and Eye Track, Journal of the Ergonomics Society of Korea, 33(1), 2014.
  45. Schutz, A.C., Braun, D.I. and Gegenfurtner, K.R., Eye movements and perception: A selective review, Journal of Vision, 11(5), 2011.
  46. ScienceDirect, What does "relevance" mean on ScienceDirect?, http://www.info.sciverse.com/documents/files/using/docs/SDrankinginfo.pdf, Accessed February 2013.
  47. Steinman, R.M., Haddad, G.M., Skavenski, A.A. and Wyman, D., Miniature eye movement, Science, 181(102), 810-819, 1973. https://doi.org/10.1126/science.181.4102.810
  48. Wagner, C.S. and Leydesdorff, L., Mapping the Network of Global Science: Comparing international co-authorships from 1990 to 2000, International Journal of Technology and Globalisation, 1(2), 185-208, 2005. https://doi.org/10.1504/IJTG.2005.007050
  49. Wasserman, S. and Faust, K., Social network analysis: methods and applications, 8, Cambridge university press, 1994.
  50. Wolfe, J.M., Inattentional Amnesia Jeremy M. Wolfe, Fleeting memories: Cognition of brief visual stimuli, 71, 1999.
  51. Yoon, B. and Park, Y., A text-mining-based patent network: analytical tool for high-technology trend, The Journal of High Technology Management Research, 15(1), 37-50, 2004. https://doi.org/10.1016/j.hitech.2003.09.003
  52. Ziegler, B.E., Methods for bibliometric analysis of research: Renewable energy case study, Massachusetts Institute of Technology, 2009.