Abstract
Increased information complexity in HCI designs causes cognitive load on users. HCI design prototypes have been used in various stages of design process to assess the design quality and enable course correction. However, there are only a few studies reported on suitability of prototyping methods for HCI design process in testing. Also, there is a dearth of literature on cognitive load (CL) based measurement for different prototyping methods. This paper reports a comparative study of prototyping methods for HCI based control panel design from CL perspective. Comparisons of prototyping methods have been reported based on three CL measurement methods namely, subjective measure, task performance and physiological measure. Results of three CL methods were congruent and shows that, software prototype caused significantly lower CL compared to paper prototype testing. Also, it is concluded that software prototype is more suitable prototyping method in cyber physical production system scenario.
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References
Anderson, E.W., Potter, K.C., Matzen, L.E., Shepherd, J.F., Preston, G.A., Silva, C.T.: A user study of visualization effectiveness using EEG and cognitive load. Comput. Graph. Forum 30(3), 791–800 (2011)
Antonenko, P., Paas, F., Grabner, R., Van Gog, T.: Using electroencephalography to measure cognitive load. Educ. Psychol. Rev. 22(4), 425–438 (2010)
Archer, N.P., Yuan, Y.: Comparing telephone-computer interface designs: are software simulations as good as hardware prototypes? Int. J. Hum. Comput. Stud. 42(2), 169–184 (1995)
Brünken, R., Steinbacher, S., Plass, J.L., Leutner, D.: Assessment of cognitive load in multimedia learning using dual-task methodology. Exp. Psychol. 49(2), 109–119 (2002)
Cinaz, B., Arnrich, B., Tröster, G.: Monitoring of cognitive functioning by measuring reaction times with wearable devices. In: 5th International Conference on Pervasive Computing Technologies for Healthcare, pp. 514–517, Dublin, Ireland. IEEE (2011)
Delorme, A., Makeig, S.: EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J. Neurosci. Methods 134(1), 9–21 (2004)
DeLeeuw, K.E., Mayer, R.E.: A comparison of three measures of cognitive load: evidence for separable measures of intrinsic, extraneous, and germane load. J. Educ. Psychol. 100(1), 223–234 (2008)
Haapalainen, E., Kim, S., Forlizzi, J., Dey, A.: Psycho-Physiological Measures for Assessing Cognitive Load. In: 12th ACM International Conference on Ubiquitous Computing, Copenhagen, Denmark, pp. 301–310. ACM (2010)
Hart, S.G., Staveland, L.E.: Development of NASA-TLX (Task Load Index): results of empirical and theoretical research. Adv. Psychol. 52, 139–183 (1988)
Hoonakker, P., et al.: Measuring workload of ICU nurses with a questionnaire survey: the NASA Task Load Index (TLX). IIE Trans. Healthcare Syst. Eng. 1(2), 131–143 (2011)
Hozdić, E.: Smart factory for industry 4.0: a review. Int. J. Mod. Manuf. Technol. 7(1), 28–35 (2015)
Hoggan, E., Brewster, S., Johnston, J.: Investigating the effectiveness of tactile feedback for mobile touchscreens. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Montreal, Canada, pp. 1573–1582. ACM (2008)
Homan, R.W., Herman, J., Purdy, P.: Cerebral location of international 10–20 system electrode placement. Electroencephalogr. Clin. Neurophysiol. 66(4), 376–382 (1987)
Klass, D.W.: The continuing challenge of artifacts in the EEG. Am. J. EEG Technol. 35(4), 239–269 (1995)
Kjeldskov, J., Stage, J.: New techniques for usability evaluation of mobile systems. Int. J. Hum Comput Stud. 60(5–6), 599–620 (2004)
Kumar, N., Kumar, J.: Measurement of cognitive load in HCI systems using EEG power spectrum: an experimental study. Procedia Comput. Sci. 84, 70–78 (2016)
Kumar, N., Kumar, J.: Measurement of efficiency of auditory vs visual communication in HMI: a cognitive load approach. In: Proceedings of the International Conference on Advances in Human–Machine Interaction, Bangalore, India, pp. 1–8. IEEE (2016b). https://doi.org/10.1109/HMI.2016.7449168
Kumar, N., Kumar, J.: Efficiency 4.0 for Industry 4.0. Hum. Technol. J. 15(1), 55–78 (2019)
MacDougall, W.: Industry 4.0: smart manufacturing for the future, Berlin, Germany. GTAI (2014)
Mittelstädt, V., Brauner, P., Blum, M., Ziefle, M.: On the visual design of ERP systems the–role of information complexity, presentation and human factors. Procedia Manuf. 3, 448–455 (2015)
Norman, D.: The Design of Everyday Things. Basic Books, New York (2013)
Paas, F., Renkl, A., Sweller, J.: Cognitive load theory and instructional design: recent development. Educ. Psychol. 38(1), 1–4 (2003)
Patricia, A.: The role of cognitive theory in human computer interface. Comput. Hum. Behav. 19(5), 593–607 (2003)
Reid, G.B., Nygren, T.E.: The subjective workload assessment technique: a scaling procedure for measuring mental workload. Adv. Psychol. 52, 185–218 (1988). https://doi.org/10.1016/S0166-4115(08)62387-0
Rudd, J., Stern, K., Isensee, S.: Low vs high-fidelity prototyping debate. Interactions 3(1), 76–85 (1996)
Rumelhart, D.E., Norman, D.A.: Analogical processes in learning. In: Anderson, J.R. (ed.) Cognitive Skills and Their Acquisition, pp. 335–359 (1981)
Saeid, S., Chambers, J.A.: EEG Signal Processing. Southern Gate, Chichester, West Sussex, England: Wiley Online Library (2007)
Sefelin, R., Tscheligi, M., Giller, V.: Paper prototyping-what is it good for?: a comparison of paper-and computer-based low-fidelity prototyping. In: CHI 2003 Extended Abstracts on Human Factors in Computing Systems, pp. 778–779, Ft. Lauderdale, Florida, USA. ACM (2003)
Schmeck, A., Opfermann, M., van Gog, T., Paas, F., Leutner, D.: Measuring cognitive load with subjective rating scales during problem solving: differences between immediate and delayed ratings. Instr. Sci. 43(1), 93–114 (2014). https://doi.org/10.1007/s11251-014-9328-3
Van Gog, T., Paas, F., Van Merriënboer, J.J.: Effects of process-oriented worked examples on troubleshooting transfer performance. Learn. Instr. 16(2), 154–164 (2006)
Walker, M., Takayama, L., Landay, J.A.: High-fidelity or low-fidelity, paper or computer? Choosing attributes when testing web prototypes. In: 46th Annual Meeting on Human Factors and Ergonomics Society, Los Angeles, California, USA, pp. 661–665. SAGE Publications (2002)
Wierwille, W.W., Casali, J.G.: A validated rating scale for global mental workload measurement applications. In: Proceedings of the Human Factors Society Annual Meeting, Los Angeles, California, USA, pp. 129–133. Sage Publication (1983)
Wittenberg, C.: Cause the Trend Industry 4.0 in the Automated Industry to New Requirements on User Interfaces? In: Kurosu, M. (ed.) HCI 2015. LNCS, vol. 9171, pp. 238–245. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-21006-3_24
Wong, Y.: Rough and ready prototypes: lessons from graphic design. In: SIGCHI Conference on Human Factors in Computing Systems, Monterey, CA, pp. 83–84. ACM (1992)
Zarjam, P., Epps, J., Chen, F.: Spectral EEG features for evaluating cognitive load. In: 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, USA, pp. 3841–3844 (2011)
Zeki, S.: A Vision of the Brain. Blackwell Scientific Publications (1993)
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Kumar, N., Kumar, J., Kumar, J. (2022). A Comparative Study of Prototyping Methods for HCI Design Using Cognitive Load-Based Measures. In: Kurosu, M., et al. HCI International 2022 - Late Breaking Papers. Design, User Experience and Interaction. HCII 2022. Lecture Notes in Computer Science, vol 13516. Springer, Cham. https://doi.org/10.1007/978-3-031-17615-9_4
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