Affective Dimension in Collaborative Information Seeking

  • Roberto González-Ibáñez
Part of the Computer Supported Cooperative Work book series (CSCW)


This chapter aims to reflect about the importance and challenges of research on the affective dimension in collaborative information seeking (CIS). This is achieved through three major parts. First, an overview of the relevance of the affective dimension is provided. Second, research on the affective dimension in individual information seeking in general, and CIS in particular is discussed. Finally, research approaches, challenges, and ethical aspects in this type of studies are discussed. This chapter hopes to encourage researchers to formulate new questions, hypotheses, and more importantly further investigate this interesting topic.


Collaboration Information seeking Affective dimension 


  1. Affectiva Inc (2013) Affectiva affdex. Retrieved 6 Mar 2013
  2. Arapakis I, Jose JM, Gray PD (2008) Affective feedback: an investigation into the role of emotions in the information seeking process. SIGIR ‘08: Proceedings of the 31st annual international ACM SIGIR conference on research and development in information retrieval, New York, pp 395–402Google Scholar
  3. Bradley MM, Lang PJ (1999) International affective digitized sounds (IADS): Stimuli, instruction manual and affective ratings (Tech Rep No B-2). The Center for Research in Psychophysiology, University of Florida, GainesvilleGoogle Scholar
  4. Cannon WB (1927) The James-Lange theory of emotions: a critical examination and an alternative theory. Am J Psychol 39:106–124CrossRefGoogle Scholar
  5. Daft R, Lengel R (1984) Information richness: a new approach to managerial behavior and organizational design. In: Straw B, Cummings L (eds) Research in organizational behavior. JAI Press, GreenwichGoogle Scholar
  6. Damasio AR (1994) Descartes error: emotion, reason, and the human brain. Putnam/Grosset Press, New YorkGoogle Scholar
  7. Derks D, Bos AE, Grumbkow JV (2007) Emoticons and social interaction on the internet: the importance of social context. Comput Hum Behav 23(1):842–849. doi: 10.1016/j.chb.2004.11.013 CrossRefGoogle Scholar
  8. Dervin B (1983) An overview of sense-making research: concepts, methods, and results to date. Annual meeting of international communication association, DallasGoogle Scholar
  9. Ekman P, Friesen WV (1978) Facial action coding system. Consulting Psychologists Press, Palo AltoGoogle Scholar
  10. El Kaliouby R, Robinson P (2004) Mind reading machines: automated inference of cognitive mental states from video. In: Proceedings of the IEEE international conference on systems, man and cyberneticsGoogle Scholar
  11. Evans D (2001) Emotion: the science of sentiment. Oxford University Press, OxfordGoogle Scholar
  12. Evans D (2002) The search hypothesis of emotion. Br J Philos Sci 53(40):497–509CrossRefGoogle Scholar
  13. Fidel R, Pejtersen AM, Cleal B, Bruce H (2004) A multidimensional approach to the study of human information interaction: a case study of collaborative information retrieval. J Am Soc Inf Sci Technol 55(11):939–953CrossRefGoogle Scholar
  14. Forgas JP (1995) Mood and judgment: the affect infusion model (AIM). Psychol Bull 117:39–66CrossRefGoogle Scholar
  15. Forgas JP (2009) The affect infusion model (AIM): an integrative theory of mood effects on cognition and judgments. In: Martin LL, Clore GL (eds) Theories of mood and cognition: a user’s guidebook. Lawrence Erlbaum Associates, Mahwah, pp 101–136Google Scholar
  16. Forgas JP, George JM (2001) Affective influences on judgments and behavior in organizations: an information processing perspective. Organ Behav Hum Decis Process 86(1):3–34CrossRefGoogle Scholar
  17. Fredrickson BL (2001) The role of positive emotions in positive psychology: the broaden-and-build theory of positive emotions. Am Psychol 56:218–226CrossRefGoogle Scholar
  18. Fredrickson BL (2009) Positivity: top-notch research reveals the 3-to-1 ratio that will change your life. Crown Publishers, New YorkGoogle Scholar
  19. Fredrickson BL, Levenson RW (1998) Positive emotions speed recovery from the cardiovascular sequelae of negative emotions. Cogn Emot 12:191–220CrossRefGoogle Scholar
  20. Fredrickson BL, Mancuso RA, Branigan C, Tugade MM (2000) The undoing effect of positive emotions. Motiv Emot 24:237–258CrossRefGoogle Scholar
  21. Fredrickson BL, Tugade MM, Waugh CE, Larkin G (2003) What good are positive emotions in crises? A prospective study of resilience and emotions following the terrorist attacks on the United States on September 11th, 2001. J Pers Soc Psychol 84:365–376CrossRefGoogle Scholar
  22. Gable S, Haidt J (2005) What (and why) is positive psychology? Rev Gen Psychol 9(2):103–110CrossRefGoogle Scholar
  23. González-Ibáñez R (2013) A study of positive and negative affective states in collaborative information seeking. Doctoral dissertation, Retrieved from Rutgers University Community RepositoryGoogle Scholar
  24. González-Ibáñez R, Shah C (2010) Group’s affective relevance: a proposal for studying affective relevance in collaborative information seeking. Poster in the proceedings of GROUP 2010, Sanibel Island, 16–10 Nov 2010Google Scholar
  25. González-Ibáñez R, Shah C (2014) Performance effects of positive and negative affective states in collaborative information seeking. In: Proceedings of the 20th international conference on collaboration and technology (CRIWG 2014), Lecture notes in computer science, 8658, Santiago, Chile, 7–10 Sept 2014, pp. 153–168Google Scholar
  26. González-Ibáñez R, Shah C, Córdova-Rubio NR (2011) Smile! Studying expressivity of happiness as a synergic factor in collaborative information seeking. In: Proceedings of American Society of Information Science & Technology (ASIST’2011) annual meeting, New Orleans, 9–12 Oct 2011Google Scholar
  27. Hyldegård J (2006) Collaborative information behaviour – exploring Kuhlthau’s information search process model in a group-based educational setting. Inf Process Manag 42(1):276–298CrossRefGoogle Scholar
  28. Isen AM, Means B (1983) The influence of positive affect on decision-making strategy. Soc Cogn 2(1):18–31CrossRefGoogle Scholar
  29. Izard CE (1983) Maximally discriminative facial movement coding system (MAX). University of Delaware, Newark, Unpublished manuscriptGoogle Scholar
  30. Kelly GA (1963) A theory of personality: the psychology of personal constructs. Norton, New YorkGoogle Scholar
  31. Kuhlthau C (1991) Inside the search process: information seeking from the user’s perspective. J Am Soc Inf Sci 42(6):361–371CrossRefGoogle Scholar
  32. Lopatovska I (2009) Does the mood matter? Proceedings of the 2009 international conference on affective computing & intelligent interaction ACII 2009, Amsterdam, pp 237–240Google Scholar
  33. Lopatovska I, Arapakis I (2011) Theories, methods and current research on emotions in library and information science, information retrieval and human-computer interaction. Inf Process Manag 47(4):575–592CrossRefGoogle Scholar
  34. Moshfeghi Y, Jose JM (2013) An effective implicit relevance feedback technique using affective, physiological and behavioural features. In: Proceedings of the 36th ACM SIGIR, ACM, New York, pp 133–142Google Scholar
  35. Nahl D (2005) Affective load theory (ALT). In: Fisher KE, Erdelez S, McKechnie EF (eds) Theories of information behavior. Information Today, Medford, pp 39–43Google Scholar
  36. Nahl D (2009) The centrality of affective in information behavior. In: Nahl D, Bilal D (eds) Information and emotion: the emergent affective paradigm in information behavior research and theory. Information Today, Medford, pp 3–37Google Scholar
  37. Nahl D, Bilal D (eds) (2009) Information and emotion: the emergent affective paradigm in information behavior research and theory. Information Today, Medford, pp 3–37Google Scholar
  38. Nahl D, Tenopir C (1996) Affective and cognitive searching behavior of novice end-users of a full-text database. J Am Soc Inf Sci 47(4):276–286CrossRefGoogle Scholar
  39. Neal DM, McKenzie PJ (2011) Putting the pieces together: endometriosis blogs, cognitive authority, and collaborative information behavior. J Med Libr Assoc 99(2):127–134CrossRefGoogle Scholar
  40. Palmero F, Guerrero C, Gómez C, Carpi A (2006) Certezas y controversia en el estudio de la emoción. Revista electrónica de motivación y emoción (REME) 9:23–24Google Scholar
  41. Patel H, Pettitt M, Wilson JR (2012) Factors of collaborative working: a framework for a collaboration model. Appl Ergon 43(1):1–26, ISSN 0003–6870CrossRefGoogle Scholar
  42. Pettigrew K, Fidel R, Bruce H (2001) Conceptual Frameworks in Information Behavior. In: Williams ME (ed) Annual review of information science and technology, vol 36. Information Today, Medford, pp 43–78Google Scholar
  43. Picard RW (2003) Affective computing: challenges. Int J Hum Comput Stud 59(1–2):55–64CrossRefGoogle Scholar
  44. Provine RR, Spencer RJ, Mandell DL (2007) Emotional expression online: emoticons punctuate website text messages. J Lang Soc Psychol 26(3):299–307. doi: 10.1177/0261927X06303481 CrossRefGoogle Scholar
  45. Reeve JM (1994) Motivación y emoción. McGraw-Hill/Interamericana de España, S.A. ISBN: 8448118251, ISBN-13: 9788448118259Google Scholar
  46. Russell JA, Weiss A, Mendelsohn GA (1989) Affect grid: a single-item scale of pleasure and arousal. J Pers Soc Psychol 57:493–502CrossRefGoogle Scholar
  47. Savolainen R (2007) Information behavior and information practice: reviewing the “umbrella concepts” of information-seeking studies. Libr Q 77(2):109–132CrossRefGoogle Scholar
  48. Sebe N, Lew MS, Sun Y, Cohen I, Gevers T, Huang T (2007) Authentic facial expression analysis. Image Vis Comput 25(12):1856–1863CrossRefGoogle Scholar
  49. Shah C, González-Ibáñez R (2010) Exploring information seeking processes in collaborative search tasks. In: Proceedings of American Society of Information Science and Technology (ASIST), Pittsburgh, 22–27 Oct 2010Google Scholar
  50. Sinclair RC, Mark MM (1995) The effects of mood state on judgemental accuracy: processing strategy as a mechanism. Cogn Emot 9(5):417–438CrossRefGoogle Scholar
  51. Smeaton AF, Lee H, Foley C, McGivney S (2007) Collaborative video searching on a tabletop. Multimedia Syst 12(4–5):375–391CrossRefGoogle Scholar
  52. Strauss M, Reynolds C, Hughes S, Park K, McDarby G, Picard R (2005) The handwave bluetooth skin conductance sensor. Berlin Heidelberg, pp 699–706Google Scholar
  53. Watson D, Clark LA, Tellegen A (1988) Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol 54(6):1063–1070CrossRefGoogle Scholar
  54. Waugh CE, Fredrickson BL (2006) Nice to know you: positive emotions, self-other overlap, and complex understanding in the formation of a new relationship. J Posit Psychol 1(2):93–106CrossRefGoogle Scholar
  55. Wilson ML, Wilson M (2010) Social anxieties and collaborative information seeking. In: Proceedings of collaborative information seeking workshop at GROUP 2010, Sanibel Island, 7 Nov 2010Google Scholar
  56. Zhou N, Stahl G (2007) Towards building a math discourse community: investigating collaborative information behavior. Online Communities Soc Comput Lect Notes Comput Sci 4564:509–518CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Departamento de Ingeniería InformáticaUniversidad de Santiago de ChileSantiagoChile

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