Abstract
Pupil dilation is known to reflect the emotional arousal. Pleasure, effort and fear are examples of stimuli inducing the nervous system to cause dilation mydriasis. The work proposes a tool to automatically quantify the mydriasis in order to evaluate mental effort in HCI. The system uses a feature-based approach and monitors the pupil behavior during a given task. As mydriasis is entailed by various reasons, our system distinguishes the cause-effect relationships by synchronizing monitoring and test, dividing the monitoring in fixed intervals and retrieving a survey of the mydriatic events for each determined period of time. We present a case of study analyzing users resolving arithmetical tasks, viewing pictures and using a mobile application. In each scenario, tests intend to impose gradually increasing reactions to the users. The paper will present different techniques for pupil dilation measurements and related results of mental effort evaluation.
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References
Andreassi, J.: Pupillary response and behavior. Psychophysiology: Human Behavior & Physiological Response. 4th ed. pp. 218–233. Lawrence Erlbaum Associates, Publishers (2000)
Hess, E.H., Polt, J.M.: Pupil size as related to interest value of visual stimuli. Science 349–350 (1960)
Kahneman, D.: Attention and Effort (Experimental Psychology), p. 0130505188. Englewood Cliffs, Prentice-Hall (1973)
Polson, P.G., Lewis, C., Rieman, J., Wharton, C.: Cognitive walkthroughs: a method for theory-based evaluation of user interfaces, p. 5. Academic Press Ltd., Int. J. Man-Mach. Stud. 36, 741–773 (1992)
Paas, F., Renkl, A., Sweller, J.: Cognitive load theory and instructional design: recent developments. Educ. Psychol. 38 (1), 1–4
Fernandes, T.: Global Interface Design: A Guide to Designing International User Interfaces. Academic Press Professional, Inc., San Diego. 0-12-253790-4 (1995)
Marcus, A., Gould, E.: Crosscurrents: cultural dimensions and global web user-interface design. West. pp. 32–46, 1072–5520. ACM interactions, New York (2000)
Furlong, M.S., Kearsley, G.: Computers for Kids Over 60. Senior Net, 1993. 9780962670039
Druin, A., Inkpen, K.: When Are Personal Technologies for Children? p. 3. Springer, London, Personal Ubiquitous Comput. 5, 191–194. 1617–4909
Edwards, A.D.N.: Extra-ordinary Human-computer Interaction: Interfaces for Users with Disabilities, p. 9780521434133. Cambridge University Press, Cambridge (1995)
Paciello, M.G.: Web Accessibility for People with Disabilities, p. 9781929629084. Taylor & Francis, London (2000)
Wickens, C.D., Hollands, J.G.: Engineering Psychology and Human Performance, p. 9780321047113. Prentice Hall PTR, Upper Saddle River (2000)
Ashcraft, M.H.: Cognition, 3rd edn. Prentice Hall, New York (2002). 9780130307293
Kühnel, C., Westermann, T., Weiss, B., Möller, S.: Evaluating Multimodal Systems: A Comparison of Established Questionnaires and Interaction Parameters. Reykjavik, pp. 286–294. ACM, Iceland 2010. 978-1-60558-934-3
Bias, R.G., Mayhew, D.J.: Cost-Justifying Usability: An Update for an Internet Age, p. 9780120958115. Morgan Kaufman, San Francisco (2005)
Andreassi, J.L., Fichera, L.V.: Cardiovascular reactivity during public speaking as a function of personality variables, p. 3, Int J Psychophysiol, 37, 267–273. 0167-8760 (2000)
Schuller, B., Batliner, A., Steidl, A., Seppi, D.: Recognising realistic emotions and affect in speech: State of art and lessons learnt from the first challenge. Speech Commun. 1062–1087
Marshall, S.P.: The Index of Cognitive Activity: Measuring cognitive workload. 2002. In: Proceedings of the 7th IEEE Conference on Human Factors and Power Plants
Calandra, D.M., Caso, A., Cutugno, F., Origlia, A., Rossi, S.: CoWME: a general framework to evaluate cognitive workload during multimodal interaction. Proceedings of ICMI (2013)
Hansen, D.W., Ji, Q.: In the eye of the beholder: a survey of models for eyes and gaze. 3, 2010, IEEE Trans. Pattern Anal. Mach. Intell. 32
Aylward, J.J., Erwann, R., Stephen, R.: Automatic quantification of pupil dilation under stress. 2004
Duda, R.O., Hart, P.E.: Use of the hough transformation to detect lines and curves in pictures. p. 1, ACM, Commun. ACM, 15, 11–15 (1972). 0001-0782
Shanbezadeh, J., Asadifard, M.,: Automatic adaptive center of pupil detection using face detection and CDF analysis. In: Proceedings of the International MultiConference of Engineers and Computer Scientists, vol. I (2010)
Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001. vol. 1, pp. 1063–6919 (2001)
Baggio, D.L., Emami, S., Escrivá, D.M., Ievgen, K., Mahmood, N., Saragih, J., Shilkrot, S.: Mastering OpenCV with Practical Computer Vision Projects. Packt Publishing, Limited (2012). 9781849517829
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Work supported by the European Community and the Italian Ministry of University and Research and EU under the PON OR.C.HE.S.T.R.A. project.
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Calandra, D.M., Cutugno, F. (2014). AutoMyDe: A Detector for Pupil Dilation in Cognitive Load Measurement. In: Caporarello, L., Di Martino, B., Martinez, M. (eds) Smart Organizations and Smart Artifacts. Lecture Notes in Information Systems and Organisation, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-07040-7_15
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