Username   Password       Forgot your password?  Forgot your username? 

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

Volume 13, Number 8, December 2017, pp. 1195-1205
DOI: 10.23940/ijpe.17.08.p3.11951205

Jinhua Doua,b, Lei Zhangb, Qichao Zhaoc, Qin Peib, Jingyan Qina

aSchool of Computer and Communication Engineering, School of Mechanical Engineering, University of Science and Technology Beijing, China
bSchool of Art & Design, Tianjin University of Technology, China
cKingFar International Inc, Beijing, China

(Submitted on September 20, 2017; Revised on November 10, 2017; Accepted on November 30, 2017)



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.

 

References: 35

      1. A. Açık, D. E. Barkana, G. Akgün, A. E. Yantaç, and Ç. Aydın, “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
      2. 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
      3. J. L. Andreassi, “Psychophysiology: Human behavior and physiological response (3rd ed.),” Lawrence Erlbaum Associates, Mahwah, New Jersey, United States, 1995
      4. 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
      5. 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
      6. 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
      7. A. C. Dirican, and M.Göktürk, “Psychophysiological measures of human cognitive states applied in human computer interaction,” Procedia Computer Science, vol. 3, no.1, pp.1361-1367, 2011
      8. C. Guo, “Methods towards Synchronous Recording and Analysis of Eye Movements and Electroencephalograph,” Tsinghua University, Beijing. 2012.
      9. 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
      10. 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
      11. 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.
      12. 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
      13. 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
      14. C. H. Huang, “human-machine interface,” Computer Science and Communications Dictionary. Springer US, New York, USA, 2012
      15. 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
      16. 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
      17. 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
      18. D. C. Montgomery, “Design and Analysis of Experiments,” Wiley, New York, USA, 2000.
      19. 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
      20. J. Nielsen, “How many test users in a usability study?” from https://www.nngroup.com/articles/how-many-test-users, June 4, 2012
      21. 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
      22. 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
      23. B. Park, “Psychophysiology as a Tool for HCI Research: Promises and Pitfalls,” Human-Computer Interaction. New Trends, Springer-Verlag, Berlin Heidelberg, Germany, 2009
      24. 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
      25. H. R. Pfister, S. Wollstädter 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
      26. 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.
      27. 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
      28. K. Rayner, “Eye movements in reading and information processing: 20 years of research,” Psychological Bulletin, vol.124, no.3, pp.372-422, 1998
      29. J. F. Reintjes, “Numerical control: making a new technology,” Oxford University Press, New York, USA, 1991.
      30. A. Rogalska, and P. Napieralski, “A problem of assessing visual comfort in virtual reality applications,” In book: Computer Game Innovations, pp.43-53, 2016
      31. 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
      32. 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.
      33. 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
      34. 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
      35. 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

           

          Please note : You will need Adobe Acrobat viewer to view the full articles.Get Free Adobe Reader

           
          This site uses encryption for transmitting your passwords. ratmilwebsolutions.com