Abstract
We investigated differences in reading strategies in relation to information search task goals and perceived text relevance. Our findings demonstrate that some aspects of reading when looking for a specific target word are similar to reading relevant texts to find information, while other aspects are similar to reading irrelevant texts to find information. We also show significant differences in pupil dilation on final fixations on relevant words and on relevance decisions. Our results show feasibility of using eye-tracking data to infer timing of decisions made on information search tasks in relation to the required depth of information processing and the relevance level.
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References
Business Dictionary: Relevant information. http://www.businessdictionary.com/definition/relevant-information.html
Bharati, P., Chaudhury, A.: An empirical investigation of decision-making satisfaction in web-based decision support systems. Decis. Support Syst. 37, 187–197 (2004)
Zimmer, J.C., Arsal, R.E., Al-Marzouq, M., Grover, V.: Investigating online information disclosure: Effects of information relevance, trust and risk. Inf. Manage. 47, 115–123 (2010)
Li, H., Sarathy, R., Xu, H.: The role of affect and cognition on online consumers’ decision to disclose personal information to unfamiliar online vendors. Decis. Support Syst. 51, 434–445 (2011)
Saracevic, T.: RELEVANCE: A review of and a framework for the thinking on the notion in information science. J. Am. Soc. Inf. Sci. 26, 321–343 (1975)
Huang, X., Soergel, D.: Relevance: An improved framework for explicating the notion. J. Am. Soc. Inf. Sci. Technol. 64, 18–35 (2013)
Borlund, P.: The concept of relevance in IR. J. Am. Soc. Inf. Sci. Technol. 54, 913–925 (2003)
Zhang, Y., Zhang, J., Lease, M., Gwizdka, J.: Multidimensional relevance modeling via psychometrics and crowdsourcing. In: Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 435–444. ACM, New York (2014)
da Costa Pereira, C., Dragoni, M., Pasi, G.: Multidimensional relevance: Prioritized aggregation in a personalized information retrieval setting. Inf. Process. Manag. 48, 340–357 (2012)
Cosijn, E., Ingwersen, P.: Dimensions of relevance. Inf. Process. Manag. 36, 533–550 (2000)
Gwizdka, J.: Looking for information relevance in the brain. In: Gmunden Retreat on NeuroIS 2013, p. 14. Gmunden, Austria (2013)
Gwizdka, J.: Characterizing relevance with eye-tracking measures. In: Proceedings of the 5th Information Interaction in Context Symposium, pp. 58–67. ACM, New York (2014)
Gwizdka, J.: Tracking information relevance. In: Gmunden Retreat on NeuroIS 2014, p. 3. Gmunden, Austria (2014)
Ajanki, A., Hardoon, D., Kaski, S., Puolamäki, K., Shawe-Taylor, J.: Can eyes reveal interest? Implicit queries from gaze patterns. User Model. User-Adapt. Interact. 19, 307–339 (2009)
Buscher, G., Dengel, A., Biedert, R., Elst, L.V.: Attentive documents: Eye tracking as implicit feedback for information retrieval and beyond. ACM Trans. Interact. Intell. Syst. 1, 9:1–9:30 (2012)
Simola, J., Salojärvi, J., Kojo, I.: Using hidden Markov model to uncover processing states from eye movements in information search tasks. Cogn. Syst. Res. 9, 237–251 (2008)
Onorati, F., Barbieri, R., Mauri, M., Russo, V., Mainardi, L.: Characterization of affective states by pupillary dynamics and autonomic correlates. Front. Neuroengineering. 6, 9 (2013)
Kahneman, D., Beatty, J.: Pupil diameter and load on memory. Science 154, 1583–1585 (1966)
Krugman, H.E.: Some applications of pupil measurement. J. Mark. Res. (pre-1986) 1, 15 (1964)
Preuschoff, K., ’t Hart, B.M., Einhäuser, W.: Pupil dilation signals surprise: Evidence for noradrenaline’s role in decision making. Front. Decis. Neurosci. 5, 115 (2011)
Einhäuser, W., Koch, C., Carter, O.L.: Pupil dilation betrays the timing of decisions. Front. Hum. Neurosci. 4, 18 (2010)
Oliveira, F.T.P., Aula, A., Russell, D.M.: Discriminating the relevance of web search results with measures of pupil size. In: Proceedings of the 27th International Conference on Human Factors in Computing Systems, pp. 2209–2212. ACM, Boston (2009)
Gwizdka, J., Zhang, Y.: Differences in eye-tracking measures between visits and revisits to relevant and irrelevant web pages. In: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 811–814. ACM, New York (2015)
Graff, D.: The AQUAINT Corpus of English News Text. (2002). Available at: http://www.language-archives.org/item/oai:www.ldc.upenn.edu:LDC2002T31
Léger, L., Rouet, J.-F., Ros, C., Vibert, N.: Orthographic versus semantic matching in visual search for words within lists. Can. J. Exp. Psychol. Rev. Can. Psychol. Expérimentale. 66, 32–43 (2012)
Reichle, E.D., Pollatsek, A., Rayner, K.: EZ reader: A cognitive-control, serial-attention model of eye-movement behavior during reading. Models Eye-Mov. Control Read. 7, 4–22 (2006)
Cole, M.J., Gwizdka, J., Liu, C., Bierig, R., Belkin, N.J., Zhang, X.: Task and user effects on reading patterns in information search. Interact. Comput. 23, 346–362 (2011)
Mathôt, S.: A simple way to reconstruct pupil size during eye blinks. 10.6084/m9.figshare.688001 (2013)
Acknowledgements
This research has been supported, in part, by IMLS Career Award #RE-04-11-0062-11 and by Google Faculty Research Award to Jacek Gwizdka.
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Gwizdka, J. (2017). Differences in Reading Between Word Search and Information Relevance Decisions: Evidence from Eye-Tracking. In: Davis, F., Riedl, R., vom Brocke, J., Léger, PM., Randolph, A. (eds) Information Systems and Neuroscience. Lecture Notes in Information Systems and Organisation, vol 16. Springer, Cham. https://doi.org/10.1007/978-3-319-41402-7_18
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DOI: https://doi.org/10.1007/978-3-319-41402-7_18
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