Human-Machine Interface Evaluation of CNC Machine Control Panel through Multidimensional Experimental Data Synchronous Testing Analysis Method

doi:10.23940/ijpe.17.08.p3.11951205

Abstract

Abstract: Human-Machine Interface (HMI) of Computer Numerical Control (CNC) machine control panel affects the work efficiency and experience of users. For many operators, the CNC machine control panel causes a heavy burden for them because it is not easy to use. The designer creates the shape, color and layout of CNC machine control panel to meet the user’s needs. There is some design schemes produced for managers or designers to make choices. Effective design evaluation can help the designer find usability issues of human-machine interface and iterative optimization schemes. In this study, a practical exploration relating to HMI of CNC machine control panel was carried out using the multidimensional experimental data synchronous testing analysis method. Four HMI design schemes of CNC machine control panel were evaluated. The physiological measurement instruments, eye tracker and behavior analyzer were adopted to obtain the user’s physiological data, psychological data and behavioral data. Scientific statistical results were formed and output by visualization. The designer can choose the best schemes and find the design elements to be improved by this mutually validating method. It’s helpful for the designer to improve the ergonomics of human-machine interface design of CNC machine control panel.

Submitted on September 20, 2017; Revised on November 10, 2017; Accepted on November 30, 2017
References: 35

Jinhua Dou, Lei Zhang, Qichao Zhao, Qin Pei, and Jingyan Qin. Human-Machine Interface Evaluation of CNC Machine Control Panel through Multidimensional Experimental Data Synchronous Testing Analysis Method [J]. Int J Performability Eng, 2017, 13(8): 1195-1205.

Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks

References 0

	A. A??k, D. E. Barkana, G. Akgün, A. E. Yanta?, and ?. Ayd?n, “Evaluation of a surgical interface for robotic cryoablation task using an eye-tracking system,” International Journal of Human-Computer Studies, vol. 95, no.C, pp.39-53, 2016
	J. Akyeampong, S. Udoka, G. Caruso, and M. Bordegoni, “Evaluation of hydraulic excavator human–machine interface concepts using nasa tlx,” International Journal of Industrial Ergonomics, vol. 44, no.3, pp.374-382, 2014
	J. L. Andreassi, “Psychophysiology: Human behavior and physiological response (3rd ed.),” Lawrence Erlbaum Associates, Mahwah, New Jersey, United States, 1995
	G. Andreoni, M. Mazzola, D. Zambarbieri, L. Forzoni, S. D'Onofrio, S. Viotti, G. C. Santambrogio, and G. Baselli,“Motion analysis and eye tracking technologies applied to portable ultrasound systems user interfaces evaluation,” in International Conference on Computer Medical Applications (ICCMA), vol.58, pp.1-6, Sousse,Tunisia,January 2013
	G. G. Berntson, J. T. J. Bigger, D. L. Eckberg, P. Grossman, P. G. Kaufmann, M. Malik, H. Nagaraja, S. Porges, P. Saul, P. Stone, and M. van der Molen, “Heart rate variability: Origins, methods, and interpretive caveats,” Psychophysiology, vol.34, no.6, pp.623-648,1997
	A. Darwish and E. Bataineh, “Eye tracking analysis of browser security indicators,” in International Conference on Computer Systems and Industrial Informatics, pp.1-6, Sharjah, United Arab Emirates, 2012
	A. C. Dirican, and M.G?ktürk, “Psychophysiological measures of human cognitive states applied in human computer interaction,” Procedia Computer Science, vol. 3, no.1, pp.1361-1367, 2011
	C. Guo, “Methods towards Synchronous Recording and Analysis of Eye Movements and Electroencephalograph,” Tsinghua University, Beijing. 2012.
	J. Gao, Q. C. Zhao, F. Zhou, Q. J. Wang, F. Liu, and Z. Q. Li, “Study on driver behavior using "Kingfar synchronization" approach-To explore driver's visual behavior when preparing for driving.” Journal of Beijing Institute of Technology, vol. 20, pp.260-265, 2011
	L. Giraudet, J. P. Imbert, M. Bérenger, S. Tremblay, and M. Causse, “The neuroergonomic evaluation of human machine interface design in air traffic control using behavioral and EGG/ERP measures,” Behavioural Brain Research, vol. 294, no.5, pp.246–253, 2015
	F. Guo, Y. Cao, Y. Ding and Q. U. Qingxing, “The Emotional Experience of E-commerce Websites Using Multi-mode Measurements,” China Journal of Information Systems, vol.1, pp.24-36, 2013.
	L. A. Granka, T. Joachims and G. Gay, “Eye-tracking analysis of user behavior in WWW search,” in International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.478-479, 2004
	J. S. Ha, and P. H. Seong, “A human–machine interface evaluation method: a difficulty evaluation method in information searching (demis),” Reliability Engineering & System Safety, vol. 94, no.10, pp. 1557-1567, 2009
	C. H. Huang, “human-machine interface,” Computer Science and Communications Dictionary. Springer US, New York, USA, 2012
	W. J. Kop, S. J. Synowski and M. E. Newell, “Autonomic nervous system reactivity to positive and negative mood induction: the role of acute psychological responses and frontal electrocortical activity,” Biological Psychology, vol.86, no.3, pp.230-238, 2011
	Y. Lin and W. J. Zhang, “Combining eye movement and hand movement measures for evaluating human-machine interfaces,” in IEEE International Conference on System, Man and Cybernetics, vol.2, pp.1089-1096, Washington, DC, USA, October 2003
	H. Masaki, M. Ohira, H. Uwano, and K. Matsumoto, “A Quantitative Evaluation on the Software Use Experience with Electroencephalogram. Design, User Experience, and Usability. Theory, Methods, Tools and Practice,” Springer-Verlag, Berlin Heidelberg, Germany, 2011
	D. C. Montgomery, “Design and Analysis of Experiments,” Wiley, New York, USA, 2000.
	N. Montano, R. Gnecchi, A. Porta, F. Lombardi, M. Pagani and A. Mallani, “A power spectrum analysis of heart rate variability to assess the changes in sympathovagal balance during graded orthostatic tilt,” Circulation, vol.90, pp.1826-1831, 1984
	J. Nielsen, “How many test users in a usability study?” from https://www.nngroup.com/articles/how-many-test-users, June 4, 2012
	J. Nielsen, “Why you only need to test with 5 users?” from https:// https://www.nngroup.com/articles/why-you-only-need-to-test-with-5-users, March 19, 2000
	Y. Niu, C. Xue, N. Peng, L. Zhou, W. Wu, R. Guan and T. Jin, “Cognition and evaluation of digital interface layouts based on event-related potential technique,” Journal of Southeast University (Natural Science Edition), vol.46, pp.470-475, 2016
	B. Park, “Psychophysiology as a Tool for HCI Research: Promises and Pitfalls,” Human-Computer Interaction. New Trends, Springer-Verlag, Berlin Heidelberg, Germany, 2009
	H. Park, and H. C. Moon, “Design evaluation of information appliances using augmented reality-based tangible interaction,” Computers in Industry, vol.64, no.7, pp.854-868, 2013
	H. R. Pfister, S. Wollst?dter and C. Peter, “Affective responses to system messages in human–computer-interaction: Effects of modality and message type,” Interacting with Computers, vol. 23, no.4, pp. 372–383, 2011
	P. Ramakrisnan, A. Jaafar, F. H. A. Razak , and D. A. Ramba, “Evaluation of user interface design for leaning management system (lms): investigating student's eye tracking pattern and experiences ☆,” Procedia - Social and Behavioral Sciences,vol.67, pp.527-537, 2012.
	P. Rainville, A. Bechara, N. Naqvi and A. R. Damasio, “Basic emotions are associated with distinct patterns of cardiorespiratory activity,” International Journal of Psychophysiology, vol.61, no.1, pp.5-18, 2006
	K. Rayner, “Eye movements in reading and information processing: 20 years of research,” Psychological Bulletin, vol.124, no.3, pp.372-422, 1998
	J. F. Reintjes, “Numerical control: making a new technology,” Oxford University Press, New York, USA, 1991.
	A. Rogalska, and P. Napieralski, “A problem of assessing visual comfort in virtual reality applications,” In book: Computer Game Innovations, pp.43-53, 2016
	A. Sinharay, D. Chatterjee, and A. Sinha, “Evaluation of Different Onscreen Keyboard Layouts Using EEG Signals,” in IEEE International Conference on Systems, Man, and Cybernetics, vol. 8215, pp.480-486, Hong Kong, China, October 2014
	Task Force of the European Society of Cardiology (ESC) and the North American Society of Pacing Electrophysiology (NASPE), “Heart rate variability: Standards of measurement, physiological interpretation, and clinical use,” European Heart Journal, vol. 17, no.3, pp.354-381, 1996.
	K. Uggeldahl, C. Jacobsen, T. H. Lundhede, and S. B. Olsen, “Choice certainty in discrete choice experiments: will eye tracking provide useful measures?” Journal of Choice Modelling, vol.20, pp.35-48, 2016
	N. H. M. Zain, F. H. A. Razak, A. Jaafar, and M. F. Zulkipli, “Eye Tracking in Educational Games Environment: Evaluating User Interface Design through Eye Tracking Patterns,” International Conference on Visual Informatics: Sustaining Research and Innovations, pp.64-73, Springer-Verlag, Berlin Heidelberg, 2011
	S. R. Zhou, S. Jeon, H. Sim, and W. Lee, “User interface evaluation method using eye tracking,” in the 18th IEEE International Symposium on Consumer Electronics, pp. 1-2, JeJu, Korea, June 2014