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The Effects of Typing Demand on Emotional Stress, Mouse and Keystroke Behaviours

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Intelligent Systems in Science and Information 2014 (SAI 2014)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 591))

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Abstract

Past research found that cognitive effort is related to emotion, which negative emotion may influence task performance. To enhance learning experience, it is important to have an effective technique to measure user’s emotional and motivational affects for designing an adaptive e-learning system, rather than using a subjective method that is less reliable and accurate. Keystroke and mouse dynamics analyses shed light on a better automated emotion recognition method as compared to physiological methods, as they are cheaper, non-invasive and can be easily set up. This research shows that unification of mouse and keyboard dynamics analyses could be useful in detecting emotional stress, particularly stress induced by time pressure, text length and language familiarity. The changes of mouse and keystroke behaviours of the students are found cohere with their task performance and stress perception. However anomalies in mouse and keystroke behaviours present when the students are pushed beyond their capabilities.

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Notes

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    MCR was removed later due to no data.

  2. 2.

    DK was removed later due to no data.

References

  1. Sweller, J., Ayres, P., Kalyuga, S.: Cognitive Load Theory. Springer, Berlin (2011)

    Book  Google Scholar 

  2. Paas, F., Renkl, A., Sweller, J.: Cognitive load theory: instructional implications of the interaction between information structures and cognitive architecture. Instr. Sci. 32, 1–8 (2004)

    Article  Google Scholar 

  3. Beilock, S.L., Ramirez, G.: On the interplay of emotion and cognitive control: implications for enhancing academic achievement. Psychol. Learn. Motiv. Res. Theor. 55, 137 (2011)

    Article  Google Scholar 

  4. Kirschner, P.A.: Cognitive load theory: implications of cognitive load theory on the design of learning. Learn. Instr. 12, 1–10 (2002)

    Article  Google Scholar 

  5. Anastasi, A.: Psychological Testing. Macmillan, UK (1954)

    Google Scholar 

  6. Karasek, R.A.: Job demands, job decision latitude and mental strain: implications for job design. Adm. Sci. Q. 24, 285–308 (1979)

    Article  Google Scholar 

  7. Rijk, A.E., Le Blanc, P.M., Schaufeli, W.B., Jonge, J.: Active coping and need for control as moderators of the job demand–control model: effects on burnout. J. Occup. Organ. Psychol. 71, 1–18 (1998)

    Article  Google Scholar 

  8. Wahlström, J., Hagberg, M., Johnson, P.W., Svensson, J., Rempel, D.: Influence of time pressure and verbal provocation on physiological and psychological reactions during work with a computer mouse. Eur. J. Appl. Physiol. 87(3), 257–263 (2002)

    Article  Google Scholar 

  9. Heiden, M., Lyskov, E., Djupsjbacka, M., Hellstrm, F., Crenshaw, A.G.: Effects of time pressure and precision demands during computer mouse work on muscle oxygenation and position sense. Eur. J. Appl. Physiol. 94, 97–106 (2005)

    Article  Google Scholar 

  10. Pusara, M., Brodley, C.E.: User re-authentication via mouse movements. In: Proceedings of the 2004 ACM Workshop on Visualization and Data Mining for Computer Security, pp. 1–8. ACM, New York (2004)

    Google Scholar 

  11. Tsoulouhas, G., Georgiou, D., Karakos, A.: Detection of learner’s affective state based on mouse movements. J. Comput. 3, 9–18 (2011)

    Google Scholar 

  12. Vizer, L.M.: Detecting cognitive and physical stress through typing behavior. In: Proceedings of 27th International Conference Extended Abstracts Human Factors Computer System CHI EA 09, p. 3113 (2009)

    Google Scholar 

  13. Lim, Y.M., Ayesh, A., Stacey, M.: Detecting cognitive stress from keyboard and mouse dynamics during mental arithmetic. In: Science and Information Conference 2014. pp. 146–152. IEEE Xplore, London (2014)

    Google Scholar 

  14. Setz, C., Arnrich, B., Schumm, J., La Marca, R., Troster, G., Ehlert, U.: Discriminating stress from cognitive load using a wearable EDA device. Inf. Technol. Biomed. IEEE Trans. 14, 410–417 (2010)

    Article  Google Scholar 

  15. Sloan, R.P., Korten, J.B., Myers, M.M.: Components of heart rate reactivity during mental arithmetic with and without speaking. Physiol. Behav. 50, 1039–1045 (1991)

    Article  Google Scholar 

  16. Khan, M.M., Ward, R.D., Ingleby, M.: Classifying pretended and evoked facial expressions of positive and negative affective states using infrared measurement of skin temperature. ACM Trans. Appl. Percept. 6, 1–22 (2009)

    Article  Google Scholar 

  17. Tobias, S., Abramson, T.: Interaction among anxiety, stress, response mode, and familiarity of subject matter on achievement from programmed instruction. J. Educ. Psychol. 62, 357 (1971)

    Article  Google Scholar 

  18. Hulme, C., Maughan, S., Brown, G.D.A.: Memory for familiar and unfamiliar words: evidence for a long-term memory contribution to short-term memory span. J. Mem. Lang. 30, 685–701 (1991)

    Article  Google Scholar 

  19. Davidson, J.E., Sternberg, R.J.: The Psychology of Problem Solving. Cambridge University press, Cambridge (2003)

    Google Scholar 

  20. Robinson, J.A., Liang, V.M.: Computer user verification using login string keystroke dynamics. IEEE Trans. Syst. Man Cybern. A Syst. Hum. 28, 236–241 (1998)

    Article  Google Scholar 

  21. Boechat, G.C., Ferreira, J.C., Carvalho Filho, E.: Authentication personal. In: International Conference on Intelligent and Advanced Systems, 2007 (ICIAS 2007), pp. 254–256 (2007)

    Google Scholar 

  22. Lv, H.-R., Lin, Z.-L., Yin, W.-J., Dong, J.: Emotion recognition based on pressure sensor keyboards. In: IEEE International Conference on Multimedia and Exposure 2008, pp. 1089–1092 (2008)

    Google Scholar 

  23. Teh, P.S., Yue, S., Teoh, A.B.J.: Improving keystroke dynamics authentication system via multiple feature fusion scheme. In: International Conference on Cyber Security, Cyber Warfare and Digital Forensic (CyberSec). pp. 277–282 (2012)

    Google Scholar 

  24. Eswari, N., Sundarapandiyan, S., Vennila, P., Umamaheswari, R., Jothilakshmi, G.: Keystroke biometrics with number-pad input using hybridization of adaboost with random forest. In: International Conference on Advances in Engineering, Science and Management (ICAESM). pp. 105–109 (2012)

    Google Scholar 

  25. Giot, R., Rosenberger, C., Dorizz, B.: Can chronological information be used as a soft biometric in keystroke dynamics? In: Eighth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), pp. 7–10 (2012)

    Google Scholar 

  26. Giot, R., El-Abed, M., Rosenberger, C.: Web-based benchmark for keystroke dynamics biometric systems: a statistical analysis. In: Eighth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP). pp. 11–15 (2012)

    Google Scholar 

  27. Gunetti, D., Picardi, C.: Keystroke analysis of free text. ACM Trans. Inf. Syst. Secur. 8, 312–347 (2005)

    Article  Google Scholar 

  28. Shimshon, T., Moskovitch, R., Rokach, L., Elovici, Y.: Clustering di-graphs for continuously verifying users according to their typing patterns. 2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel (IEEEI), pp. 445–449 (2010)

    Google Scholar 

  29. Selye, H.: The Stress in Life. McGraw-Hill, New York (1956)

    Google Scholar 

  30. IBM: Multivariate General Linear Modeling. http://pic.dhe.ibm.com/infocenter/spssstat/v21r0m0/index.jsp?topic=/com.ibm.spss.statistics.cs/glmm_intro.htm

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Lim, Y.M., Ayesh, A., Stacey, M. (2015). The Effects of Typing Demand on Emotional Stress, Mouse and Keystroke Behaviours. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems in Science and Information 2014. SAI 2014. Studies in Computational Intelligence, vol 591. Springer, Cham. https://doi.org/10.1007/978-3-319-14654-6_13

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  • DOI: https://doi.org/10.1007/978-3-319-14654-6_13

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