![International Journal of Information Technology, Control and Automation (IJITCA)
Vol.11, No.2/3, July 2021
3
REFERENCES
[1]. Naujoks, F., Forster, Y., Wiedemann, K., & Neukum, A. (2017). A Human-
Machine Interface for Cooperative Highly Automated Driving. In Advances in Human
Aspect
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Machine Interface for Upper-Limb Prosthesis Control with Combined EMG and NIRS
Signals. IEEE Transactions on Human-Machine Systems.
[3]. Katzel, J. (2012). Information systems: The evolution of the HMI. Control
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article/information-systems-the-evolution-ofthe
hmi/d643c1d8644f73884df2c0827cb31f38.html
[4]. Baskerville, R. L., & Wood-Harper, A. T. (2016). A critical perspective on action
research as a method for information systems research. In Enacting Research Methods
in Information Systems: Volume 2 (pp. 169-190). Springer International Publishing.
[5]. Bryman, A., & Bell, E. (2015). Business research methods. Oxford University
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[6]. Cohen, L., Manion, L., & Morrison, K. (2013). Research methods in education.
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[7]. Parasuraman, R., Sheridan, T. B., & Wickens, C. D. (2000). A model for types and
levels of human interaction with automation. IEEE Transactions on systems, man, and
cybernetics-Part A: Systems and Humans, 30(3), 286-297
[8]. Lech, M. M., Hill III, T. D., Arvidson, A. L., Paddock, S. R., & Hussain, A. (2003).
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[9]. Nachreiner, F., Nickel, P., & Meyer, I. (2006). Human factors in process control
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[10]. Bach-y-Rita, P., & Kercel, S. W. (2003). Sensory substitution and the human-
machine interface.Trends in cognitive sciences, 7(12), 541-546.](https://image.slidesharecdn.com/ijitca-tableofcontent-211101120507/85/October-2021-Volume-11-Number-4-Table-of-Contents-3-320.jpg)
October 2021, Volume 11, Number 4, - Table of Contents
- 1. International Journal of Information Technology, Control and Automation (IJITCA) Vol.11, No.2/3, July 2021 1 International Journal of Information Technology, Control and Automation (IJITCA) ISSN : 1839-6682 https://wireilla.com/ijitca/index.html October 2021, Volume 11, Number 4, - Table of Contents https://wireilla.com/ijitca/vol11.html
- 2. International Journal of Information Technology, Control and Automation (IJITCA) Vol.11, No.2/3, July 2021 2 INVESTIGATING HUMAN-MACHINE INTERFACES’ EFFICIENCY IN INDUSTRIAL MACHINERY AND EQUIPMENT: A KENYAN CONTEXT Silas M. Nzuva CloudFuse Systems, Nairobi, Kenya Abstract The twenty-first century has seen a vast technological revolution characterized by the development of cyber-physical systems, integration of things, and new and computationally improved machines and systems. However, there have been seemingly little strides in the development of user interfaces, specifically for industrial machines and equipment. The aim of this study was to assess the efficiency of the human-machine interfaces in the Kenyan context in providing a consistent and reliable working environment for industrial machine operators. The researcher employed a convenient purposive sampling to select 15 participants who had at least two years of hands-on experience in machines operation, control, or instrumentation. The results of the study are herein presented, including the recommendations to enhance workforce productivity and efficiency. Keywords User interface, human-machine interface, industrial machine operation, user interface efficiency . For More Details:https://wireilla.com/papers/ijitca/V11N4/11421ijitca01.pdf Volume Link : https://wireilla.com/ijitca/vol11.html
- 3. International Journal of Information Technology, Control and Automation (IJITCA) Vol.11, No.2/3, July 2021 3 REFERENCES [1]. Naujoks, F., Forster, Y., Wiedemann, K., & Neukum, A. (2017). A Human- Machine Interface for Cooperative Highly Automated Driving. In Advances in Human Aspect [2]. Guo, W., Sheng, X., Liu, H., & Zhu, X. (2017). Toward an Enhanced Human– Machine Interface for Upper-Limb Prosthesis Control with Combined EMG and NIRS Signals. IEEE Transactions on Human-Machine Systems. [3]. Katzel, J. (2012). Information systems: The evolution of the HMI. Control Engineering. Retrieved 3 March 2017, from http://www.controleng.com/single- article/information-systems-the-evolution-ofthe hmi/d643c1d8644f73884df2c0827cb31f38.html [4]. Baskerville, R. L., & Wood-Harper, A. T. (2016). A critical perspective on action research as a method for information systems research. In Enacting Research Methods in Information Systems: Volume 2 (pp. 169-190). Springer International Publishing. [5]. Bryman, A., & Bell, E. (2015). Business research methods. Oxford University Press, USA [6]. Cohen, L., Manion, L., & Morrison, K. (2013). Research methods in education. Routledge. [7]. Parasuraman, R., Sheridan, T. B., & Wickens, C. D. (2000). A model for types and levels of human interaction with automation. IEEE Transactions on systems, man, and cybernetics-Part A: Systems and Humans, 30(3), 286-297 [8]. Lech, M. M., Hill III, T. D., Arvidson, A. L., Paddock, S. R., & Hussain, A. (2003). U.S. Patent No.6,539,271. Washington, DC: U.S. Patent and Trademark Office. [9]. Nachreiner, F., Nickel, P., & Meyer, I. (2006). Human factors in process control systems: The design of human-machine interfaces. Safety Science, 44(1), 5-26. [10]. Bach-y-Rita, P., & Kercel, S. W. (2003). Sensory substitution and the human- machine interface.Trends in cognitive sciences, 7(12), 541-546.