Emotions and Emotion Theories in Information Retrieval: Roles and Applications

Document Type : Review Article

Authors

1 Ph.D. Student University of Tehran, Tehran, Iran,

2 Associate Prof., Department of Knowledge and Information Science, University of Tehran, Tehran, Iran,

Abstract

Introduction: Emotions in the process of information retrieval have a special impact and importance as every human activity and behavior is under the influence of emotions. This is an issue that has received little attention in the field of information retrieval. Therefore, the present study aims to describe the role and application of emotion and emotion theories in information retrieval.
Methodology: The current research has been done by library method. The necessary data were gathered through the study of printed and electronic information resources available in libraries, on the Internet and in Persian and English databases.
Findings: Emotions are an integral part of all human activities, including information retrieval activities, containing information behaviors, information searches and so on, and human interaction with the computer. Emotions play a special role in retrieving a variety of text, audio and video sources. Positive emotions facilitate successful behavior and negative emotions impede proper person's function.
Conclusion: Understanding the emotions in different stages of information retrieval and utilizing theories of emotion to understand the causes of emotions, factors affecting emotions and so on would be an important step in controlling emotions and increasing the positive emotions in the process of information retrieval. Also it will help designers of information systems and librarians to provide more desirable and user-friendly services.

Keywords


بهزادی، حسن، صنعت‏جو، اعظم، فتاحی، رحمت‏الله و صالحی‏فدردی، جواد (1394الف). نقش هیجان‏ها در بازیابی اطلاعات. پژوهشنامه پردازش و مدیریت اطلاعات، 31 (2)، 531-553. بازیابی شده در 20 آذر 1397 از http://ensani.ir/file/download/article/20160910115728-9543-252.pdf
بهزادی، حسن، صنعت‏جو، اعظم، فتاحی، رحمت‏الله و صالحی‏فدردی، جواد (1394ب). سبک اسناد هیجان‌های گروهی از کاربران دانشگاهی در بازیابی اطلاعات بر اساس نظریه انتساب هیجان‌های واینر. تعامل انسان و اطلاعات، 2 (4)، 9-20.
ریو، جان مارشال (1383). انگیزش و هیجان. ترجمه یحیی سیدمحمدی. تهران: ویرایش. بازیابی شده در 20 آذر 1397 از https://hii.khu.ac.ir/browse.php?a_code=A-10-262-1&slc_lang=fa&sid=fa
یاری، شیوا و فهیم‌نیا، فاطمه (1397). تأثیر خودکارآمدی دانشجویان تحصیلات تکمیلی دانشگاه رازی کرمانشاه بر هیجان‏های آنان بعد از بازیابی اطلاعات. فصلنامه کتابداری و اطلاع‏رسانی، 21 (3) (پیاپی 83)، 154-174. بازیابی شده در 20 آذر 1397 از http://lis.aqr-libjournal.ir/article_68909.html
Arapakis, I., Jose, J.M. & Gray, P.D.G. (2008). Affective feedback: an investigation into the role of emotions in the information seeking process. In 31st Annual International ACM SIGIR Conference on Research and Development in Information (Pp. 395-402). New York: ACM. Retrieved December 27, 2018, from https://iarapakis.github.io/papers/SIGIR08.pdf
Arapakis, I., Konstas, I., & Jose, J.M. (2009). Using facial expressions and peripheral physiological signals as implicit indicators of topical relevance. In Proceedings of the seventeen ACM international conference on multimedia (pp. 461–470). USA: Springer. Retrieved December 27, 2018, from https://doi.org/10.1145/1631272.1631336
Bilal, D., & Bachir, I. (2007). Children’s interaction with cross-cultural and multilingual digital libraries ii: Information seeking, success, and affective experience. Information Processing and Management: An International Journal, 43 (1), 65–80. Retrieved December 10, 2018, from https://doi.org/10.1016/j.ipm.2006.05.008
Bilal, D., & Kirby, J. (2002). Differences and similarities in information seeking: Children and adults as web users. Information Processing and Management: An International Journal, 38 (5), 649–670. Retrieved December 12, 2018, from https://doi.org/10.1016/S0306-4573(01)00057-7
Bronstein, J. & Tzivian, L. (2013). Perceived self-efficacy of library and information science professionals regarding their information retrieval skills. Library and Information Science Research, 35 (2), 151-158. Retrieved December 27, 2018, from https://doi.org/10.1016/j.lisr.2012.11.005
Castelo, S.V.M.A. (2014). EmoPhoto: Identification of Emotions in Photos. Thesis to obtain the Master of Science Degree in Information Systems and Computer engineering. University of lisboa. Retrieved December 13, 2018, from https://fenix.tecnico.ulisboa.pt/downloadFile/563345090413104/MEIC-57690-Soraia-Castelo-Dissertation.pdf
Damasio, A.R. (1994). Descartes Error: Emotion, Reason, and the Human Brain. New York, NY, USA: Putnam/Grosset Press.
Dellandréa, E., Liu, N., & Chen, L. (2010). Classification of affective semantics in images based on discrete and dimensional models of emotions. In Proceedings - International Workshop on Content-Based Multimedia Indexing (pp. 99–104). Retrieved December 27, 2018, from DOI: 10.1109/CBMI.2010.5529906
Dervin, B., & Reinhard, C.D. (2007). How emotional dimensions of situated information seeking relate to user evaluations of help from sources: An exemplar study informed by sense-making methodology. In D. Nahl & D. Bilal (Eds.). Information and emotion: The emergent paradigm in information behavior research and theory (pp. 51–84). Medford, NJ: Information Today.
Dinet, J., Chevalier, A., & Tricot, A. (2012). Information search activity: An overviewLa recherche d’information : un panorama. Revue Européenne de Psychologie Appliquée/European Review of Applied Psychology, 62 (2), 49-62. Retrieved December 27, 2018, from https://doi.org/10.1016/j.erap.2012.03.004
Fisher, K.E. & Landry, C.F. (2007). Understanding the information behavior of stay-at-home Mothers through affect. In Nahl, D. and Bilal, D. (Eds.), Information and emotion. The emergent affective paradigm in information behavior research and theory (pp. 211-233). Medford, NJ: Information Today, Inc. Retrieved December 27, 2018, from https://www.researchgate.net/publication/261774183_Understanding_the_information_behavior_of_stay-at-home_mothers_through_affect
Folkman, S., Lazarus, R.S., Gruen, R.J., & DeLongis, A. (1986). Appraisal, coping, health status, and psychological symptoms. Journal of Personality and Social Psychology, 50 (3), 571–579. Retrieved December 27, 2018, from https://pubmed.ncbi.nlm.nih.gov/3701593/
Fox, E. (2008). Emotion Science Cognitive and Neuroscientific Approaches to Understanding Human Emotions. Palgrave Macmillan.
Frijda, N.H. (1994). Varieties of affect: Emotions and episodes, moods, and sentiments. In The Nature of Emotions: Fundamental Questions (pp. 59–67). New York: Oxford University Press. Retrieved December 20, 2018, from https://dare.uva.nl/search?identifier=c07ee615-8086-4751-971a-70fabb6ea6fc
Fulton, C. (2009). The pleasure principle: the power of positive affect in information seeking. Aslib Proceedings: New Information Perspectives, 61(3), 245-261. Retrieved December 8, 2018, from https://doi.org/10.1108/00012530910959808
González-Ibáñez, R.I. (2013). A Study of Positive and Negative Affective States in Collaborative Information Seeking. A Dissertation submitted to the Graduate School-New Brunswick Rutgers, The State University of New Jersey in partial fulfillment of the requirements for the degree of Doctor of Philosophy, Graduate Program in Communication, Information and Library Studies. Retrieved December 27, 2018, from https://www.researchgate.net/publication/270758983_A_study_of_positive_and_negative_affective_states_in_collaborative_information_seeking
Guerrero, L.K., Andersen, P.A. & Trost, M.R. (1998). Communication and emotion: basic concepts and approaches. In Andersen, P.A. and Guerrero, L.K. (Eds). Handbook of Communication and Emotion: Research, Theory, Applications, and Contexts (pp. 5-24). Academic Press, San Diego, CA. Retrieved December 5, 2018, from https://doi.org/10.1016/B978-012057770-5/50003-5
Gwizdka, J., & Lopatovska, I. (2009). The role of subjective factors in the information search process. Journal of the American Society for Information Science and Technology, 60(12), 2452–2464. Retrieved December 3, 2018, from https://doi.org/10.1002/asi.21183
Harrison, L., Skau, D., Franconeri, S., Lu, A., & Chang, R. (2013). Influencing visual judgment through affective priming. In CHI '13 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Pp. 2949-2958). April 27–May 2, 2013, Paris, France. Retrieved December 6, 2018, from http://www.cs.tufts.edu/~remco/publications/2013/CHI2013-AffectivePriming.pdf
Heinström, J. (2010). From fear to flow: Personality and information interaction. Oxford, UK: Chandos.
Hockenbury, D.H. & Hockenbury, S.E. (2007). Discovering Psychology. New York: Worth Publishers.
Hoewe, J. & Parrott, S. (2019). The power of anger: How emotions predict information seeking and sharing after a presidential election. Atlantic Journal of Communication, 1-11. Retrieved December 10, 2019, from DOI: 10.1080/15456870.2019.1614925
Izard, C. E., Libero, D. Z., Putnam, P., & Haynes, O.M. (1993). Stability of emotion experiences and their relations to traits of personality. Journal of Personality and Social Psychology, 64 (5), 847-860. Retrieved December 18, 2018, from DOI: 10.1037//0022-3514.64.5.847
Izard, C.E. (1994). Die Emotionen des Menschen. Eine Einfu¨ hrung in die Grundlagen der Emotionspsychologie. Psychologie Verlags Union, Weinheim.
Jamali, H.R. & Shahbaztabar, P. (2017). The effects of internet filtering on users’ information-seeking behaviour and emotions. Aslib Journal of Information Management, 69 (4), 408-425. Retrieved December 27, 2018, from https://doi.org/10.1108/AJIM-12-2016-0218
Kisilowska, M. & Mierzecka, A. (2019). Emotions, experience, identity – motivations of the teens’ information behaviour in the area of culture In Proceedings of ISIC, The Information Behaviour Conference, Krakow, Poland, 9-11 October: Part 2. Information Research, 24 (1), paper isic1826. Retrieved December 10, 2018, from http://InformationR.net/ir/24-1/isic2018/isic1826.html
Kuhlthau, C.C. (1983). The library research process: case studies and interventions with high school seniors in advanced placement English classes using Kelly's theory of constructs. Unpublished doctoral dissertation. Rutgers University, New Brunswick, NJ, USA. Retrieved December 27, 2018, from https://www.worldcat.org/title/library-research-process-case-studies-and-interventions-with-high-school-seniors-in-advanced-placement-english-classes-using-kellys-theory-of-constructs/oclc/557044267
Kuhlthau, C.C. (1991). Inside the search process: information seeking from the user's perspective. Journal of the American Society for Information Science, 42(5), 361-371. Retrieved December 27, 2018, from https://doi.org/10.1002/(SICI)1097-4571(199106)42:53.0.CO;2-%23
Lazarus, R.S. (1984). Thoughts on the relations between emotion and cognition. American Psychologist, 37 (9), 1019-1024. Retrieved December 15, 2018, from http://gruberpeplab.com/3131/Lazarus_1982.pdf
Lee, H.J., & Neal, D. (2007). Towards web 2.0 music information retrieval: Utilizing emotion-based, user-assigned descriptions. In Proceedings of the 70th annual meeting of the American society of information science and technology. Joining research and practice: Social computing and information science (V.45, pp. 732–741). Retrieved December 27, 2018, from DOI: 10.1002/meet.1450440391
Lopatovska, I. & Arapakis, I. (2011). Theories, methods and current research on emotions in library and information science, information retrieval and human–computer interaction. Information Processing & Management, 47 (4), 575–592. Retrieved December 27, 2018, from http://www.sciencedirect.com/science/article/pii/S0306457310000737
Lopatovska, I. (2009). Emotional Aspects of the Online Information Retrieval Process. Ph.D. Thesis. Rutgers: The State University of New Jersey. Retrieved December 27, 2018, from https://rucore.libraries.rutgers.edu/rutgers-lib/26354/
Lopatovska, I. (2014). Toward a Model of Emotions and Mood in the Online Information Search Process. Journal of the association for information science and technology, 65 (9), 1775–1793. Retrieved December 27, 2018, from https://doi.org/10.1002/asi.23078
Lopatovska, I., & Mokros, H.B. (2008). Willingness to pay and experienced utility as measures of affective value of information objects: Users’ accounts. Information Processing and Management: An International Journal, 44(1), 92–104. Retrieved December 27, 2018, from https://doi.org/10.1016/j.ipm.2007.01.020
McKeown, G. J. (2013). The Analogical Peacock Hypothesis: The sexual selection of mind-reading and relational cognition in human communication. Review of General Psychology, 17 (3), 267–287. Retrieved December 27, 2018, from https://doi.org/10.1037/a0032631
Mohd Suki, N., & Mohd Suki, N. (2016). Library patrons’ emotions after information retrieval: effects of perceived self-efficacy. Program, 50 (3), 288-302. Retrieved December 27, 2018, from https://doi.org/10.1108/PROG-07-2014-0045
Mooney, C., Scully, M., Jones, G.J., & Smeaton, A.F. (2006). Investigating biometric response for information retrieval applications. Lecture Notes in Computer Science, 570–574. Retrieved December 27, 2018, from https://link.springer.com/chapter/10.1007/11735106_67
Moshfeghi, Y. (2012) Role of emotion in information retrieval. Ph.D. Dissertations. University of Glasgow, School of Computing Science College of Science and Engineering. Retrieved December 27, 2018, from https://www.researchgate.net/publication/230800447_Role_of_emotion_in_Information_Retrieval
Mulligan, K., & Scherer, K.R. (2012). Toward a working definition of emotion. Emotion Review, 4 (4), 345–357. Retrieved December 27, 2018, from https://doi.org/10.1177/1754073912445818
Nahl, D. (2004). Measuring the affective information environment of web searchers. In Proceedings of the American Society for Information Science and Technology (V.1, pp. 191-197). New York: Wiley. Retrieved December 27, 2018, from https://asistdl.onlinelibrary.wiley.com/doi/pdf/10.1002/meet.1450410122
Nahl, D. (2005). Affective and cognitive information behavior: Interaction effects in internet use. In Grove, A. (Ed.). Proceedings 68th Annual Meeting of the American Society for Information Science and Technology. V. 42. Information Today, Medford, NJ. Retrieved December 27, 2018, from https://doi.org/10.1002/meet.1450420196
Nahl, D. (2007a). The centrality of the affective in information behavior. In D. Nahl & D. Bilal (Eds.). Information and Emotion: The Emergent Affective Paradigm in Information Behavior Research and Theory (pp. 3-37). Medford, NJ: Information Today, Inc.
Nahl, D. (2007b). Social–biological information technology: An integrated conceptual framework. Journal of the American Society for Information Science and Technology, 58, 2021–2046. Retrieved December 27, 2018, from https://doi.org/10.1002/asi.20690
Namuleme, R.K. (2014). Information behaviour in the context of hiv/aids related emotions. Nkumba Business Journal, v. 13, 123-139. Retrieved January 27, 2018, from http://www.nkumbauniversity.ac.ug/images/PDF/Journals/nkumbabusinessjournalvol_13.pdf
Norman, D.A. (2004). Emotional design. Ubiquity, 4 (45), 1.
Orlu, A.D., Ilo, H.M., & Tochukwu, N.T. (2017). Perceived Emotions in the Information Seeking Behaviour of Manchester Metropolitan University Students. Library Philosophy and Practice (e-journal). 1534. Retrieved January 27, 2018, from http://digitalcommons.unl.edu/libphilprac/1534
Picard, R.W. (1997). Affective computing. Cambridge, MA, USA: MIT Press.
Picard, R.W. (2003). Affective computing: Challenges. International Journal of Human–Computer Studies, 59 (1–2), 55–64. Retrieved October 27, 2018, from https://affect.media.mit.edu/pdfs/03.picard.pdf
Plutchik. R. (2001). The Nature of Emotions: Human emotions have deep evolutionary roots, a fact that may explain their complexity and provide tools for clinical practice. American Scientist, 89 (4), 344–350. Retrieved December 27, 2018, from https://www.jstor.org/stable/27857503?seq=1
Poddar, A., & Ruthven, I. (2010). The Emotional Impact of Search Tasks. In Proceedings of the 3rd Information Interaction in Context Symposium (pp. 35-44). New York: ACM Press. Retrieved December 27, 2018, from https://doi.org/10.1145/1840784.1840792
Poretski, L., Lanir, J. & Arazy, O. (2017). Feel the image: the role of emotions in the image seeking process. Human–Computer Interaction, 1-38. Retrieved December 27, 2018, from http://www.tandfonline.com/doi/abs/10.1080/07370024.2017.1359604
Ren, F. (2009). Affective information processing and recognizing human emotion. Electronic Notes in Theoretical Computer Science (ENTCS), 225, 39–50. Retrieved December 27, 2018, from https://doi.org/10.1016/j.entcs.2008.12.065
Robinson, D.L. (2008). Brain function, mental experience and personality. Netherlands Journal of Psychology, 64 (4), 152-167. Retrieved December 27, 2018, from https://link.springer.com/article/10.1007/BF03076418
Savolainen, R. (2014). Emotions as motivators for information seeking: A conceptual analysis. Library & Information Science Research, 36, 59–65. Retrieved December 27, 2018, from https://tampub.uta.fi/bitstream/handle/10024/99179/emotions_as_motivators_for_information_seeking.pdf?sequence=1
Savolainen, R. (2015a). Expressing emotions in information sharing: a study of online discussion about immigration. Information Research. 20 (1), paper 662. Retrieved December 27, 2018, from https://tampub.uta.fi/bitstream/handle/10024/99067/expressing_emotions_in.pdf?sequence=1
Savolainen, R. (2015b). Approaching the affective factors of information seeking: the viewpoint of the information search process model. Information Research, 20 (1). Retrieved December 27, 2018, from https://tampub.uta.fi/bitstream/handle/10024/99066/approaching_the_affective2015.pdf?sequence=1
Savolainen, R. (2016). Approaching the affective barriers to information seeking: the viewpoint of appraisal theory. Information Research, 21 (4), 1-20. Retrieved December 27, 2018, from http://www.informationr.net/ir/21-4/isic/isic1603.html
Scherer, K.R. (2001). Appraisal considered as a process of multi-level sequential checking. In K. R. Schorr, A. Scherer, & T. Johnstone (Eds.). Appraisal processes in emotion: Theory, methods, research. New York, Oxford: Oxford University Press. Retrieved December 27, 2018, from https://www.researchgate.net/publication/202304338_Appraisal_considered_as_a_process_of_multilevel_sequential_checking
Scherer, K.R. (2005). What are emotions? And how can they be measured? Social Science Information, 44 (4), 695–729. Retrieved December 27, 2018, from DOI: 10.1177/0539018405058216
Schmidt, S., & Stock, W.G. (2009). Collective indexing of emotions in images. A study in emotional information retrieval. Journal of the American Society for Information Science and Technology, 60 (5), 863–876. Retrieved December 27, 2018, from DOI: 10.1002/asi.21043
Siersdorfer, S., Hare, J., Minack, E., & Deng, F. (2010). Analyzing and Predicting Sentiment of Images on the Social Web. Proceedings of the 18th ACM International Conference on Multimedia (pp. 715–718). Firenze, Italy — October 25 - 29, 2010. Retrieved December 21, 2018, from https://dl.acm.org/citation.cfm?doid=1873951.1874060
Soleymani, M., Chanel, G., Kierkels, J.J., & Pun, T. (2008). Affective ranking of movie scenes using physiological signals and content analysis. In Proceeding of the 2nd ACM workshop on multimedia semantics (pp. 32–39). New York, NY, USA: ACM. Retrieved December 9, 2018, from https://doi.org/10.1145/1460676.1460684
Tenopir, C., Wang, P., Zhang, Y., Simmons, B., & Pollard, R. (2008). Academic users’ interactions with sciencedirect in search tasks: Affective and cognitive behaviors. Information Processing and Management: An International Journal, 44 (1), 105–121. Retrieved December 6, 2018, from https://doi.org/10.1016/j.ipm.2006.10.007
Wang, P., Hawk, W.B., & Tenopir, C. (2000). Users’ interaction with World Wide Web resources: An exploratory study using a holistic approach. Information Processing and Management: An International Journal, 36 (2), 229–251. Retrieved December 3, 2018, from https://doi.org/10.1016/S0306-4573(99)00059-X
Wilson, T.D. (1981). On user studies and information needs. Journal of Documentation, 37(1), 3-15. Retrieved December 8, 2018, from https://doi.org/10.1108/eb026702
Yari Zanganeh, M., & Hariri, N. (2018). The role of emotional aspects in the information retrieval from the web. Online Information Review. Retrieved December 2, 2018, from https://doi.org/10.1108/OIR-04-2016-0121
Yari Zanganeh, M., Hariri, N. & Babalhavaeji, F. (2018). The Role of the Medical Students’ Emotional Mood in Information Retrieval from the Web. J Health Man & Info, 5(2), 57-64. Retrieved December 4, 2018, from http://jhmi.sums.ac.ir/article_42712.html
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