Jun Nakamura
ABSTRACT
In the model of human information processing, it is common to represent the cycle from perception to response. In this study, we focused on what happens in the intervals between the cycle of the work processes in the manufacturing industry, which has not been paid much attention to, and visualized the state of visual search in cyclic processes using eye tracking. As a result, it was found that an anticipation is performed as a preparation for making a decision for action in the next process, and thus contributes to the speed from perception to response. Based on this result, we will discuss the modeling of visual search in human factors.
- Bojko Agnieszka. 2006. Using Eye Tracking to Compare Web Page Designs: A Case Study. Journal of Usability Studies, 3(1), 112-120.Google Scholar
- Masao Asaoka. 2005. Ugoki no Mohoo to Image Training (in Japanese). Journal of Biomechanism of Japan, 29(1), 31-35.Google Scholar
- Paul Atkinson. 2018. Invisible Rhythms: Tracking Aesthetic Perception in Films and the Visual Arts, in Dwyer, T., Perkins, C., Redmond, S., and Sita, J. (eds.): Seeing into Screens – Eye Tracking and the Moving Image. Bloomsbury Academic, 28-43.Google Scholar
- Tom N. Cornsweet. 1956. Determination of the stimuli for involuntary drifts and saccadic eye movements, Journal of the Optical Society of America, 46(11), 987-993.Google ScholarCross Ref
- Andrew T. Duchowski. 2017. Eye Tracking Methodology –Theory and Practice (3rd ed.). Springer.Google Scholar
- Elwyn Edwards. 1972. Man and Machine: Systems for Safety. In Proceedings of British Airline Pilots Association Technical Symposium, British Airline Pilots Association, London, 21-36.Google Scholar
- Martin Gene Fennema, & Don N. Kleinmunts. 1995. Anticipation of effort and accuracy in multiattribute choice. Organizational Behavior & Human Decision Processes, 63, 21-32.Google ScholarCross Ref
- Frank H. Hawkins. (1987). Human Factors in Flight. Aldershot, UK: Gower Publishing Company Ltd.Google Scholar
- Geoffrey Ho, Charlers T. Scialfa., Jeff K. Caird., and Trevor Graw. 2001. Visual search for traffic signs: The effects of clutter, luminance, and aging. Human Factors, 43(3), 194-207.Google ScholarCross Ref
- Emily Higgins, Mallorie Leinenger, and Keith Rayner. 2014. Eye movements when viewing advertisements. Frontiers in Psychology, 5, 1-15.Google ScholarCross Ref
- Kenneth Holmqvist, Marcus Nyström, Richard Andersson, Richard Dewhurst, Halszka Jarodzka, and Joost van de Weijer. 2011. Eye Tracking – A Comprehensive Guide to Methods and Measures. Oxford: Oxford University Press.Google Scholar
- Akiko Kimura, Makiko Tada, Tadashi Uozumi, & Akihito Goto. 2017. Teaching Method of Technique to Make the Braiding. In Stephan Trzcielinski (ed.), Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future, Advances in Intelligent Systems and Computing 606, Springer, 310-321.Google Scholar
- Susana Martinez-Conde, Stephen L. Macknik, David H. Hubel. 2004. The role of fixational eye movements in visual perception, Nature Review Neuroscience, 5(3), pp. 229-240.Google ScholarCross Ref
- Jun Nakamura, Sanetake Nagayoshi, and Nozomi Komiya. 2021. Cognitive Biases as Clues to Skill Acquisition in Manufacturing Industry. Procedia Computer Sciencece, 192, 1705-1712.Google ScholarDigital Library
- Peter Stüttgen, Peter Boatwright, and Robert T. Monroe. 2012. A Satisficing Choice Model. Marketing Science, 31(6), 878-899.Google ScholarDigital Library
- Masaki Suwa. 2005. Metacognitive Verbalization as a Tool for Acquiring Embodied Expertise. Journal of the Japanese Society for Artificial Intelligence, 20(5), 525-532.Google Scholar
- Masaki Suwa, Koichi Hori. 2015. Ichininshou kenkyu no susume: Chinou kenkyu no atarasii choryuu [in Japanese]. Kindai Kagaku sha Co.,Ltd.Google Scholar
- Christopher D. Wickens, John D. Lee, Yili Liu, and Sallie E. Gordon Becker. 2004. An Introduction to Human Factors Engineering, (2nd ed.). NJ: Pearson Education, Inc.Google Scholar
- Part Wright, Ann Lickorish, & Robert Milroy. 2000. Route choices, anticipated forgetting, and interface design for on-line reference documents. Journal of Experimental Psychology: Applied, 6(2), 158-167.Google ScholarCross Ref
- Ralf van der Lans, and Michel Wedel. 2017. Eye Movements During Search and Choice, in Berend Wierenga, and Ralf van der Lans (eds.) Handbook of Marketing Decision Models, International Series in Operations Research & Management Science 254, Springer, 331-359.Google Scholar
- Gregory Vial. 2019. Understanding digital transformation: A review and a research agenda. Journal of Strategic Information Systems, 28(2), 118-144.Google ScholarDigital Library
- Hong Xiao, BalaAnand Muthu., Seifedine Nimer Kadry. 2020. Artificial Intelligence with robotics for advanced manufacturing industry using robot-assisted mixed integer programming model. Intelligent Service Robotics, https://doi.or/10.1007/s11370-020-00326-7.Google Scholar
- Alfred L. Yarbus. 1967. Eye Movements and Vision (Translated into English by Haigh). New York, Plenum Press.Google Scholar
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