Health Management & Information Science

Health Management & Information Science

The Role of the Medical Students’ Emotional Mood in Information Retrieval from the Web

Document Type : Articles

Authors
Marzieh Yari Zanganeh
Nadjla Hariri
Fahimeh Babalhavaeji
Abstract
Background: Online information retrieval is a process the result of which is influenced bythe changes in the emotional moods of the user. It seems reasonable to include emotionalaspects in developing information retrieval systems in order to optimize the experience of the users. Therefore, this study aimed to identify the role of positive and negative affects in the information seeking process on the web among students of medical sciences.Methods: From the methodological perspective, the present study was an experimentaland applied research. According to the nature of the experimental method, observationand questionnaire were used. The participants were the students of various fields of MedicalSciences. The research sample included 50 students of Shiraz University of Medical Sciencesselected through purposeful sampling method; they regularly used World Wide Web andgoogle engine for information retrieval in educational, Research, personal, or managerialactivities. In order to collect the data, search tasks were characterized by the topic, sequence in a search process, difficulty level, and searcher’s interest (simple) in a task. Face and content validity of the questionnaire were confirmed by the experts. Reliability of the questionnaire was tested by Alpha Cronbach. Cronbach’s alpha coefficient (PA=0.777, NA=0.754) showed a high rate of reliability in a PANAS questionnaire. The collected data were analyzed using SPSS, version 20.0; also, to test the research hypothesis, T-Test and pair Samples T-Test were used. The P<0.05 was considered statistically significant.Results: The results showed that there was a significant association between the positive affect and users’ successful retrieval (P<0.001). Also, there were significant associations between the negative and positive affect, type of search (P<0.001) and quality of retrieved results of the web (P<0.001) in the simple and difficult search. Finally, the impact of positive and negative affects before and after searching in the information retrieval result showed that there were significant associations between negative affects before the search and while doing the simple search (P<0.001); also, a significant association was found between negative affects in the simple and difficult searches (P=0.020). The results showed that the positive affects before and after the search had no significant effect during the search on simple and difficult search(P >0.05).Conclusion: Information retrieval systems in the Web should identify positive and negativeaffects in the information seeking process in a set of perceiving signs in human interactionwith the computer. The automatic identification of the users’ affect opens new dimensionsinto users moderators and information retrieval systems for successful retrieval from theWeb.Keywords: Affect, Information storage and retrieval, Information seeking behavior, ShirazUniversity of Medical Sciences
  1. Marchionni, G. Information Seeking in
  2. Electronic Environments. New York: Cambridge
  3. University Press. 1995.
  4. Ma C, Prendinger H, Ishizuka M, editors. Emotion
  5. estimation and reasoning based on affective
  6. textual interaction. International Conference on
  7. Affective Computing and Intelligent Interaction;
  8. Springer. 2005;622-8.
  9. Neviarouskaya A, Prendinger H, Ishizuka M,
  10. editors. Analysis of affect expressed through the
  11. evolving language of online communication.
  12. Proceedings of the 12th international conference
  13. on Intelligent user interfaces; ACM. 2007;278-81.
  14. Parlade MV, Messinger DS, Delgado CE,
  15. Kaiser MY, Van Hecke AV, Mundy PC.
  16. Anticipatory smiling: linking early affective
  17. communication and social outcome. Infant
  18. Behav Dev. 2009;32(1):33-43. doi: 10.1016/j.
  19. infbeh.2008.09.007
  20. Mac Kim S. Recognizing Emotions, and
  21. Sentiments in Text. Ph.D. thesis in the School of
  22. Electrical and Information Engineering at The
  23. University of Sydney; 2011.
  24. Cowie R, Douglas-Cowie E, Tsapatsoulis N,
  25. Votsis G, Kollias S, Fellenz W, et al. Emotion
  26. recognition in human-computer interaction.
  27. IEEE Signal Processing Magazine. 2001;18(1):32-
  28. Liu H, Lieberman H, Selker T, editors. A model of
  29. textual affect sensing using real-world knowledge.
  30. Proceedings of the 8th international conference
  31. on Intelligent user interfaces; 2003;125-32.
  32. Nouroozi Chakoli, A. Evaluation of enjoying
  33. researchers at Tarbiat Modarres University of
  34. World Wide Web. Journal of Academic Library
  35. and Information Science. 2001; 35(37):13-34. [in
  36. Persian]
  37. Wang X, Erdelez S. Medical image users’ search
  38. tactics across different search tasks. Proceedings
  39. of the Association for Information Science
  40. and Technology. 2013;50(1):1-4. doi: 10.1002/
  41. meet.14505001168
  42. Kuhlthau CC. s. J Am Soc Inf Sci.
  43. ;42(5):361-71. doi: 10.1002/(sici)1097-
  44. (199106)42:5<361::aid-asi6>3.0.co;2-#
  45. Nahl D, Bilal D, editors. Information and
  46. Emotion. Medford, NJ: Information Today, Inc.
  47. Lopatovska I. Emotional aspects of the online
  48. information retrieval process. New Jersey-New
  49. Brunswick: Rutgers The State University. 2009.
  50. Robert G, Shortliffe EH. Medical Informatics:
  51. An Emerging Discipline with Academic and
  52. Institutional Perspectives. J Am Med Assoc.
  53. ;263(8):1114-20. doi: 10.1001/jama.263.8.1114
  54. Matteson ML, Farooq O, Mease DB. Feeling Our
  55. Way: Emotional Intelligence and Information
  56. Literacy Competency. In Imagine, innovate,
  57. inspire: Proceedings of the ACRL 2013
  58. Conference. Chicago, IL: Association of College
  59. & Research Libraries. 2013.
  60. Bilal D, Kirby J. Differences and similarities in
  61. information seeking: children and adults as Web
  62. users. Inf Process Manag. 2002;38(5):649-70. doi:
  63. 1016/s0306-4573(01)00057-7
  64. Tenopir C, Wang P, Zhang Y, Simmons B,
  65. Pollard R. Academic users’ interactions
  66. with ScienceDirect in search tasks: Affective
  67. and cognitive behaviors. Inf Process Manag.
  68. ;44(1):105-21. doi: 10.1016/j.ipm.2006.10.007
  69. Behzadi H, Sanatjoo A, Fattahi R, Salehi Fadardi
  70. J. Survey the role of emotions in information
  71. retrieval. Journal of Information Processing and
  72. Management. 2016;31(2):531-53. [in Persian]
  73. Yari Zanganeh M, Hariri N, Babalhavaeji F.
  74. Studies of emotional aspects of information
  75. search and retrieval on the Web: textresearch
  76. and scientific mapping. Journal of Information
  77. Processing and Management. 2016;31(4):953-79.
  78. [in Persian]
  79. White RW, Ruthven I, Jose JM, editors. A
  80. study of factors affecting the utility of implicit
  81. relevance feedback. Proceedings of the 28th
  82. annual international ACM SIGIR conference
  83. on Research and development in information
  84. retrieval; Brazil. 2005;35-41.
  85. Bell DJ, Ruthven I, editors. Searcher’s assessments
  86. of task complexity for web searching. European
  87. Conference on Information Retrieval: Springer.
  88. : 57-71.
  89. Lopatovska I, editor Researching emotion:
  90. challenges and solutions. Proceedings of the 2011
  91. iConference; 2011. doi: 10.1145/1940761.1940792.
  92. Watson D, Clark LA, Tellegen A. Development
  93. and validation of brief measures of positive and
  94. negative affect: the PANAS scales. J Pers Soc
  95. Psychol. 1988;54(6):1063-1070. doi: 10.1037//0022-
  96. 54.6.1063
  97. Isen AM, Reeve J. The influence of positive affect
  98. on intrinsic and extrinsic motivation: Facilitating
  99. enjoyment of play, responsible work behavior,
  100. and self-control. Motivation and Emotion.
  101. ;29(4):295-323. doi: 10.1007/s11031-006-
  102. -8.
  103. Lopatovska I, Cool C, editors. Online search:
  104. Uncovering affective characteristics of
  105. information retrieval experience. ALISE annual
  106. conference, Philadelphia, PA; 2008.
  107. Parker N, Berryman J. The role of affect in
  108. judging” what is enough?”. Information and
  109. Emotion: The Emergent Affective Paradigm in
  110. Information Behaviour. 2007:85-98.
  111. Fidel R. An ecological approach to the design of
  112. information systems. Bulletin of the Association for
  113. Information Science and Technology. 2006;33(1):6-
  114. doi: 10.1002/bult.2006.1720330103
  115. Fisher CD. Emotions in and around
  116. performance: The thrill of victory, the agony of
  117. defeat. In Research Companion to Emotion in
  118. Organizations, United Kingdom: Edward Elgar
  119. Publishing Limited 2008:120-35.
  120. Poddar A, Ruthven I, editors. The emotional
  121. impact of search tasks. Proceedings of the third
  122. symposium on Information interaction in
  123. context. New York: ACM Press. 2010;35-44.
  124. Von Eckardt B. What is cognitive science?
  125. Cambridge, MA: The MIT Press.1996.
  126. Bilal D, Bachir I. Children’s interaction with
  127. cross-cultural and multilingual digital libraries.
  128. II. Information seeking, success, and affective
  129. experience. Inf Process Manag. 2007;43(1):65-80.
  130. doi: 10.1016/j.ipm.2006.05.008
Health Management & Information Science
Volume 5, Issue 2 - Serial Number 2
30
Spring 2018
Pages 57-64