|
中文部分: 1. 李佩蓉(2010)。消費者在虛擬實境中的臨場感體驗與沉浸傾向之研究:以商業動感模擬 遊戲機為例。國立交通大學經營管理研究所碩士論文。 2. 謝尚穎(2018)。以沉浸式虛擬實境模擬人機協作之可行性評估:以遞交作業為例。國立 清華大學工業工程與工程管理研究所碩士論文。 3. 經濟部統計處( 2022 )。經濟部工業局所轄各工業區員工性別統計分析。 https://www.moea.gov.tw/Mns/dos/content/SubMenu.aspx?menu_id=6976 4. 道路交通標誌標線號誌設置規則( 2023 )。全國法規資料。 https://law.moj.gov.tw/LawClass/LawParaDeatil.aspx?pcode=K0040014&bp=13
英文部分: 1. Aivaliotis, P., Kaliakatsos-Georgopoulos, D., Papavasileiou, A., & Makris, S. (2021). A design of Human and overhead Robot Interaction (HoRI) framework for cooperative robotic applications in copper industry. Procedia CIRP, 104, pp. 1500-1505. 2. Akers, A., Barton, J., Cossey, R., Gainsford, P., Griffin, M., & Micklewright, D. (2012). Visual color perception in green exercise: Positive effects on mood and perceived exertion. Environmental Science & Technology, 46(16), pp. 8661-8666. 3. Azuma, R., Baillot, Y., Behringer, R., Feiner, S., Julier, S., & MacIntyre, B. (2001). Recent advances in augmented reality. IEEE Computer Graphics and Applications, 21(6), pp. 34-47. 4. Babich, N. (2019). Using Red and Green in UI Design. UX Planet. https://uxplanet.org/usingred- and-green-in-ui-design-66b39e13de91. 5. Baker, M. & Yanco, H. A. (2004). Autonomy mode suggestions for improving human-robot interaction. In: 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No. 04CH37583) (3), pp. 2948-2953. IEEE. 6. Baraglia, J., Cakmak, M., Nagai, Y., Rao, R. P., & Asada, M. (2017). Efficient human-robot collaboration: when should a robot take initiative?. The International Journal of Robotics Research, 36(5-7), pp. 563-579. 7. Baraka, K., Rosenthal, S., & Veloso, M. (2016). Enhancing human understanding of a mobile robot's state and actions using expressive lights. In: 2016 25th IEEE International Symposium on Robot and Human Interactive Communication, pp. 652-657. IEEE. 8. Belingardi, G., Heydaryan, S., & Chiabert, P. (2017). Application of speed and separation monitoring method in human-robot collaboration: industrial case study. In: 17th International Scientific Conference on Industrial Systems, pp.4-6. 9. Billings, C. E. (1991). Human-centered aircraft automation: A concept and guidelines, Vol. 103885. National Aeronautics and Space Administration, Ames Research Center. 10. Bordegoni, M., Cugini, U., Belluco, P., & Aliverti, M. (2009). Evaluation of a haptic-based interaction system for virtual manual assembly. In: Virtual and Mixed Reality: Third International Conference, pp. 303-312. Springer. 11. Bruno, F., Barbieri, L., & Muzzupappa, M. (2020). A Mixed Reality system for the ergonomic assessment of industrial workstations. International Journal on Interactive Design and Manufacturing (IJIDeM), 14(3), pp. 805-812. 12. Cain, B. (2007). A Review of The Mental Workload Literature. Defence Research and Development. Canada: Human System Integration Section, Part II, Vol. 4, pp. 1-34. 13. Castro, B., Roberts, M., Mena, K., & Boerkoel, J. (2017). Who Takes the Lead? Automated Scheduling for Human-Robot Teams. In: AAAI Fall Symposia, pp. 85-89. 14. Cha, E. & Matarić, M. (2016). Using nonverbal signals to request help during human-robot collaboration. In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 5070-5076. IEEE. 15. Chan, A. H. & Ng, A. W. (2009). Perceptions of implied hazard for visual and auditory alerting signals. Safety Science, 47(3), pp. 346-352. 16. Chandan, K., Kudalkar, V., Li, X., & Zhang, S. (2021). ARROCH: Augmented reality for robots collaborating with a human. In: 2021 IEEE International Conference on Robotics and Automation (ICRA), pp. 3787-3793. IEEE. 17. Charalambous, G., Fletcher, S., & Webb, P. (2016). The development of a scale to evaluate trust in industrial human-robot collaboration. International Journal of Social Robotics, 8, pp. 193- 209. 18. Charalambous, G. & Stout, M. (2016). Optimising train axle inspection with the implementation of human-robot collaboration: A human factors perspective. In: 2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT), pp. 254-258. IEEE. 19. Chen, S. B., Qiu, T., Lin, T., Wu, L., Tian, J. S., Lv, W. X., & Zhang, Y. (2004). Intelligent technologies for robotic welding. In: Robotic welding, intelligence and automation, pp. 123-143. Springer. 20. Chiossi, F. & Mayer, S. (2023). How Can Mixed Reality Benefit From Physiologically-Adaptive Systems? Challenges and Opportunities for Human Factors Applications. arXiv preprint arXiv:2303.17978. 21. Coates, G. (1992). Program from Invisible Site-a virtual sho, a multimedia performance work presented by George Coates Performance Works. 22. Choi, J. J., Kim, Y., & Kwak, S. S. (2014). The autonomy levels and the human intervention levels of robots: The impact of robot types in human-robot interaction. In: The 23rd IEEE International Symposium on Robot and Human Interactive Communication, pp. 1069-1074. IEEE. 23. Choi, S., Eakins, W., Rossano, G., & Fuhlbrigge, T. (2013). Lead-through robot teaching. In: 2013 IEEE Conference on Technologies for Practical Robot Applications (TePRA), pp. 1-4. IEEE. 24. Colgate, J. E., Wannasuphoprasit, W., & Peshkin, M. A. (1996). Cobots: Robots for collaboration with human operators. In: Proceedings of the 1996 ASME international mechanical engineering congress and exposition, 58, pp.433-439. 25. Dennett, D. (2009). Intentional Systems Theory. In A. Beckermann, B. P. McLaughlin, & S. Walter (Eds.), The Oxford Handbook of Philosophy of Mind, pp. 339-350. Oxford: Oxford University Press. 26. Donadio, F., Frejaville, J., Larnier, S., & Vetault, S. (2016). Human-robot collaboration to perform aircraft inspection in working environment. In: Proceedings of 5th International conference on Machine Control and Guidance (MCG). 27. Drascic, D. & Milgram, P. (1996). Perceptual issues in augmented reality. In: Stereoscopic displays and virtual reality systems III, Vol. 2653, pp. 123-134. 28. Durso, F. T., & Dattel, A. R. (2004). SPAM: The real-time assessment of SA. In: S. Banbury & S. Tremblay (Eds.), A Cognitive Approach to Situation Awareness: Theory and Application, pp. 137-154. 29. Elliot, A. J. & Maier, M. A. (2014). Color psychology: Effects of perceiving color on psychological functioning in humans. Annual Review of Psychology, 65, pp. 95-120. 30. Ende, T., Haddadin, S., Parusel, S., Wüsthoff, T., Hassenzahl, M., & Albu-Schäffer, A. (2011). A human-centered approach to robot gesture based communication within collaborative working processes. In: 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3367-3374. IEEE. 31. Endsley, M. R. (1995). Measurement of situation awareness in dynamic systems. Human Factors, 37(1), pp. 65-84. 32. Endsley, M. R. (1995). Toward a theory of situation awareness in dynamic systems. Human Factors, 37, pp. 85-104. 33. Endsley, M. R. & Kiris, E. O. (1995). Situation awareness global assessment technique (SAGAT) TRACON air traffic control version user guide. Lubbock, TX: Texas Tech University. 34. Etzi, R., Huang, S., Scurati, G. W., Lyu, S., Ferrise, F., Gallace, A., & Bordegoni, M. (2019). Using virtual reality to test human-robot interaction during a collaborative task. In: International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Vol. 59179, p. V001T02A080, American Society of Mechanical Engineers. 35. Faccio, M., Bottin, M., & Rosati, G. (2019). Collaborative and traditional robotic assembly: a comparison model. The International Journal of Advanced Manufacturing Technology, 102, pp. 1355-1372. 36. Frankfurt (2021). International Federation of Robotics reports. International Federation of Robotics. https://ifr.org/ifr-press-releases/news/robot-density-nearly-doubled-globally - downloads 37. Franklin, C. S., Dominguez, E. G., Fryman, J. D., & Lewandowski, M. L. (2020). Collaborative robotics: New era of human-robot cooperation in the workplace. Journal of Safety Research, 74, pp. 153-160. 38. Freedy, A., DeVisser, E., Weltman, G., & Coeyman, N. (2007). Measurement of trust in humanrobot collaboration. In: 2007 International symposium on collaborative technologies and systems, pp. 106-114. IEEE. 39. Gambao, E., Hernando, M., & Surdilovic, D. (2012). A new generation of collaborative robots for material handling. In: ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction, Vol. 29, p. 1. IAARC Publications. 40. Ganesan, R. K. (2017). Mediating human-robot collaboration through mixed reality cues. Doctoral dissertation, Arizona State University. 41. Ganesan, R. K., Rathore, Y. K., Ross, H. M., & Amor, H. B. (2018). Better teaming through visual cues: how projecting imagery in a workspace can improve human-robot collaboration. IEEE Robotics & Automation Magazine, 25(2), pp. 59-71. 42. Global Collaborative Robot (Cobot) Market: Focus on Payload, Application Sales Channel, Component, and Industry-Analysis & Forecast, 2020-2025. (2020). BIS Research Inc. 43. Goldstein, M., Öquist, G., & Björk, S. (2002). Evaluating Sonified Rapid Serial Visual Presentation: An immersive reading experience on a mobile device. In: ERCIM Workshop on User Interfaces for All, pp. 508-523. Springer. 44. Goetz, J., Kiesler, S., & Powers, A. (2003). Matching robot appearance and behavior to tasks to improve human-robot cooperation. In: The 12th IEEE International Workshop on Robot and Human Interactive Communication, pp. 55-60. IEEE. 45. Gombolay, M., Bair, A., Huang, C., & Shah, J. (2017). Computational design of mixed-initiative human-robot teaming that considers human factors: situational awareness, workload, and workflow preferences. The International Journal of Robotics Research, 36(5-7), pp. 597-617. 46. Hamieh, B. (2020). The Meaning of Red and Green in User Interfaces for the Color Deficient. University Honors Theses. 47. Hart, S. G. & Staveland, L. E. (1988). Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. In: Advances in Psychology, Vol. 52, pp. 139-183. 48. Hawkins, J E (2023) Human Ear. Britannica. https://www.britannica.com/science/ear 49. He, W., Li, Z., & Chen, C. P. (2017). A survey of human-centered intelligent robots: issues and challenges. IEEE/CAA Journal of Automatica Sinica, 4(4), pp. 602-609. 50. Helms, E., Schraft, R. D., & Hagele, M. (2002). rob@ work: Robot assistant in industrial environments. In: Proceedings. 11th IEEE International Workshop on Robot and Human Interactive Communication, pp. 399-404. IEEE. 51. Hoang, K. C., Chan, W. P., Lay, S., Cosgun, A., & Croft, E. (2022). Virtual barriers in augmented reality for safe and effective human-robot cooperation in manufacturing. In: 2022 31st IEEE International Conference on Robot and Human Interactive Communication, pp. 1174-1180. IEEE. 52. Hoenig, W., Milanes, C., Scaria, L., Phan, T., Bolas, M., & Ayanian, N. (2015). Mixed reality for robotics. In: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 5382-5387. IEEE. 53. Hopko, S. K., Khurana, R., Mehta, R. K., & Pagilla, P. R. (2021). Effect of cognitive fatigue, operator sex, and robot assistance on task performance metrics, workload, and situation awareness in human-robot collaboration. IEEE Robotics and Automation Letters, 6(2), pp. 3049- 3056. 54. International Organization for Standardization. (2016). ISO TS 15066-Robots and robotic devices - Collaborative robots. 55. Ivaldi, S., Anzalone, S. M., Rousseau, W., Sigaud, O., & Chetouani, M. (2014). Robot initiative in a team learning task increases the rhythm of interaction but not the perceived engagement. Frontiers in Neurorobotics, 8, p.5. 56. Kadir, B. A., Broberg, O., & Souza da Conceição, C. (2018). Designing human-robot collaborations in industry 4.0: explorative case studies. In: DS 92: Proceedings of the DESIGN 2018 15th International Design Conference, pp. 601-610. 57. Kaber, D. B. & Endsley, M. R. (1997). Out‐of‐the‐loop performance problems and the use of intermediate levels of automation for improved control system functioning and safety. Process Safety Progress, 16(3), pp. 126-131. 58. Kassem, K., Ungerböck, T., Wintersberger, P., & Michahelles, F. (2022). What Is Happening Behind The Wall? Towards a Better Understanding of a Hidden Robot's Intent By Multimodal Cues. Proceedings of the ACM on Human-Computer Interaction, 6 , pp. 1-19. 59. Kendon, A. (1967). Some functions of gaze-direction in social interaction. Acta Psychologica, 26, pp.22-63. 60. Kim, T., & Hinds, P. (2006). Who should I blame? Effects of autonomy and transparency on attributions in human-robot interaction. In: ROMAN 2006-The 15th IEEE International Symposium on Robot and Human Interactive Communication, pp. 80-85. IEEE. 61. Knowles, W. B. (1963). Operator loading tasks. Human Factors, 5(2), pp. 155-161. 62. Kolbeinsson, A., Lagerstedt, E., & Lindblom, J. (2019). Foundation for a classification of collaboration levels for human-robot cooperation in manufacturing. Production & Manufacturing Research, 7(1), pp. 448-471. 63. Körner, U., Müller‐Thur, K., Lunau, T., Dragano, N., Angerer, P., & Buchner, A. (2019). Perceived stress in human-machine interaction in modern manufacturing environments— Results of a qualitative interview study. Stress and Health, 35(2), pp. 187-199. 64. Krishnakumar K., Stepanyan V., Barlow J., Hardy G., Dorais G., Poolla C., Reardon S. and Soloway D. (2014) Initial Evaluations of LoC Prediction Algorithms Using the NASA Vertical Motion Simulator. In: AIAA Guidance, Navigation, and Control Conference, p. 0265. 65. Krüger, M., Wiebel, C. B., & Wersing, H. (2017). From tools towards cooperative assistants. In: Proceedings of the 5th International Conference on Human Agent Interaction, pp. 287-294. 66. KUKA. (2020). Human-robot collaboration: 3 Case Studies. Wevolver. https://www.wevolver.com/article/humanrobot.collaboration.3.case.studies. 67. Kumar, S., Savur, C., & Sahin, F. (2020). Survey of human-robot collaboration in industrial settings: Awareness, intelligence, and compliance. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(1), pp. 280-297. 68. Kuz, S., Petruck, H., Heisterüber, M., Patel, H., Schumann, B., Schlick, C. M., & Binkofski, F. (2015). Mirror neuronsand human-robot interaction in assembly cells. Procedia manufacturing, 3, pp. 402-408. 69. Ladkin, P. (1996). AA965 Cali accident report. University of Bielefeld. 70. Lam, C. P., Chou, C. T., Chiang, K. H., & Fu, L. C. (2010). Human-centered robot navigation— towards a harmoniously human-robot coexisting environment. IEEE Transactions on Robotics, 27(1), pp. 99-112. 71. Lee, J. D. & See, K. A. (2004). Trust in automation: Designing for appropriate reliance. Human Factors, 46(1), pp. 50-80. 72. Liau, Y. Y. & Ryu, K. (2020). Task allocation in human-robot collaboration (HRC) based on task characteristics and agent capability for mold assembly. Procedia Manufacturing, 51, pp. 179- 186. 73. Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 22(140), pp. 1-55. 74. Lin, F., Ye, L., Duffy, V. G., & Su, C. J. (2002). Developing virtual environments for industrial training. Information Sciences, 140(1-2), pp. 153-170. 75. Lu, L., Megahed, F. M., Sesek, R. F., & Cavuoto, L. A. (2017). A survey of the prevalence of fatigue, its precursors and individual coping mechanisms among US manufacturing workers. Applied Ergonomics, 65, pp.139-151. 76. Lu, L., Xie, Z., Wang, H., Li, L., & Xu, X. (2022). Mental stress and safety awareness during human-robot collaboration - Review. Applied Ergonomics, 105, 103832. 77. Malik, A. A. & Bilberg, A. (2019). Complexity-based task allocation in human-robot collaborative assembly. Industrial Robot: the International Journal of Robotics Research and Application, pp. 471-480. 78. Malik, A. A. & Bilberg, A. (2019). Developing a reference model for human-robot interaction. International Journal on Interactive Design and Manufacturing (IJIDeM), 13, pp. 1541-1547. 79. Matheson, E., Minto, R., Zampieri, E. G., Faccio, M., & Rosati, G. (2019). Human-robot collaboration in manufacturing applications: A review. Robotics, 8(4), p. 100. 80. Matsas, E., Vosniakos, G. C., & Batras, D. (2017). Effectiveness and acceptability of a virtual environment for assessing human-robot collaboration in manufacturing. The International Journal of Advanced Manufacturing Technology, 92(9), pp. 3903-3917. 81. McKeown, D., (2005). Candidates for within-vehicle auditory displays. In: Proceedings of ICAD 05-11th Meeting of the International Conference on Auditory Display, pp.182-189. 82. McNeill, D. (1992). Hand and mind: What gestures reveal about thought. University of Chicago Press. 83. Meshkati, N., Hancock, P., & Rahimi, M. (1992). Techniques in mental workload assessment. In: J. Wilson & E. Corlett (Eds.), Evaluation of Human Work. A Practical Ergonomics Methodology, pp. 605-627. 84. Mulder, G. & Mulder, L. J. (1981). Information processing and cardiovascular control. Psychophysiology, 18(4), pp. 392-402. 85. Naceri, A., Chellali, R., Dionnet, F., & Toma, S. (2010). Depth perception within virtual environments: comparison between two display technologies. International Journ. on Advances in Intelligent Systems, 3(1-2), pp. 51-64. 86. Naderpour, M., Nazir, S., & Lu, J. (2015). The role of situation awareness in accidents of largescale technological systems. Process Safety and Environmental Protection, 97, pp. 13-24. 87. Nazir, S., Colombo, S., & Manca, D. (2012). The role of situation awareness for the operators of process industry. Chemical Engineering Transactions, 26, pp. 303-308. 88. Ogura, Y., Fujii, M., Nishijima, K., Murakami, H., & Sonehara, M. (2012). Applicability of hand-guided robot for assembly-line work. Journal of Robotics and Mechatronics, 24(3), pp. 547-552. 89. OSHA and ANSI Safety Colors. (2022). Graphic Products. Inc, https://www.graphicproducts.com/articles/osha-and-ansi-safety-colors/ 90. Parasuraman, R. & Riley, V. (1997). Humans and automation: Use, misuse, disuse, abuse. Human Factors, 39(2), pp. 230-253. 91. Phillips, E., Ososky, S., Grove, J., & Jentsch, F. (2011). From tools to teammates: Toward the development of appropriate mental models for intelligent robots. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 55(1), pp.1481-1495. CA: SAGE Publications. 92. Pörtner, A., Schröder, L., Rasch, R., Sprute, D., Hoffmann, M., & König, M. (2018). The power of color: A study on the effective use of colored light in human-robot interaction. In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3395-3402. IEEE. 93. Ragan, E. D., Bowman, D. A., Kopper, R., Stinson, C., Scerbo, S., & McMahan, R. P. (2015). Effects of field of view and visual complexity on virtual reality training effectiveness for a visual scanning task. IEEE Transactions on Visualization and Computer Graphics, 21(7), pp. 794-807. 94. Reid, G. B. & Nygren, T. E. (1988). The subjective workload assessment technique: A scaling procedure for measuring mental workload. In: Advances in Psychology, 52, pp. 185-218. 95. Robotic Industries Association. (2012). ANSI/RIA R15. 06: 2012 Safety Requirements for industrial robots and robot systems. Ann Arbor: Robotic Industries Association. 96. Rosenstrauch, M. J., Pannen, T. J., & Krüger, J. (2018). Human robot collaboration-using kinect v2 for ISO/TS 15066 speed and separation monitoring. Procedia CIRP, 76, pp. 183-186. 97. Rout, A., Deepak, B. B. V. L., & Biswal, B. B. (2019). Advances in weld seam tracking techniques for robotic welding: A Review. Robotics and Computer-Integrated Manufacturing, 56, pp. 12-37. 98. Rubio, S., Díaz, E., Martín, J., & Puente, J. M. (2004). Evaluation of subjective mental workload: A comparison of SWAT, NASA‐TLX, and workload profile methods. Applied Psychology, 53(1), pp. 61-86. 99. Schlenk, C. (2019). History of the DLR LWR. Institute of Robotics and Mechatronics. https://www.dlr.de/rm/en/desktopdefault.aspx/tabid-12464/21732_read-44586/. 100. Schrepp, M., Hinderks, A., & Thomaschewski, J. (2017). Design and evaluation of a short version of the user experience questionnaire (UEQ-S). International Journal of Interactive Multimedia and Artificial Intelligence, 4 (6), pp. 103-108. 101. Shah, J., Wiken, J., Williams, B., & Breazeal, C. (2011). Improved human-robot team performance using chaski, a human-inspired plan execution system. In: Proceedings of the 6th International Conference on Human-Robot Interaction, pp. 29-36. 102. Sheridan, T. B. & Verplank, W. L. (1978). Human and Computer Control of Undersea Teleoperators. Massachusetts Institute of Technology Man-Machine Systems Laboratory. 103. Sherwani, F., Asad, M. M., & Ibrahim, B. S. K. K. (2020). Collaborative robots and industrial revolution 4.0 (ir 4.0). In: 2020 International Conference on Emerging Trends in Smart Technologies (ICETST), pp. 1-5. IEEE. 104. Sneddon, A., Mearns, K., & Flin, R. (2006). Situation awareness and safety in offshore drill crews. Cognition, Technology & Work, 8(4), pp. 255-267. 105. Song, S. & Yamada, S. (2018). Bioluminescence-inspired human-robot interaction: designing expressive lights that affect human's willingness to interact with a robot. In: Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, pp. 224-232. 106. Stefanov, D. & Bien, Z. Z. (2004). Advances in Human-Friendly Robotic Technologies for Movement Assistance/Movement Restoration for People with Disabilities. In: Advances in Rehabilitation Robotics, pp. 3-23. Springer. 107. Steinfeld, A., Fong, T., Kaber, D., Lewis, M., Scholtz, J., Schultz, A., & Goodrich, M. (2006). Common metrics for human-robot interaction. In: Proceedings of the 1st ACM SIGCHI/SIGART Conference on Human-robot Interaction, pp. 33-40. 108. Steuer, J., Biocca, F., & Levy, M. R. (1995). Defining virtual reality: Dimensions determining telepresence. Communication in the Age of Virtual Reality, 33, pp. 37-39. 109. Taylor, R. M. (1990). Situation awareness rating technique (SART): The development of a tool for aircrew systems design. In: Situational Awareness in Aerospace Operations (Chapter 3). France: Neuilly sur-Seine, NATO-AGARD-CP-478. 110. Tan, J. T. C., Duan, F., Zhang, Y., & Arai, T. (2009). Extending task analysis in HTA to model man-machine collaboration in cell production. In: 2008 IEEE International Conference on Robotics and Biomimetics, pp. 542-547. IEEE. 111. Tang, K. H., Ho, C. F., Mehlich, J., & Chen, S. T. (2020). Assessment of handover prediction models in estimation of cycle times for manual assembly tasks in a human-robot collaborative environment. Applied Sciences, 10(2), pp. 556. 112. Tcha-Tokey, K., Christmann, O., Loup-Escande, E., & Richir, S. (2016). Proposition and validation of a questionnaire to measure the user experience in immersive virtual environments. International Journal of Virtual Reality, 16(1), pp. 33-48. 113. Treisman, A. & Souther, J. (1985). Search asymmetry: a diagnostic for preattentive processing of separable features. Journal of Experimental Psychology: General, 114(3), pp. 285. 114. Universal robots (2020). Universal robots reaches industry milestone with 50,000 collaborative robots sold. Universal Robot. https://www.universal-robots.com/about-universal-robots/newscentre/ universal-robots-reaches-industry-milestone-with-50-000-collaborative-robots-sold/ 115. Villani, V., Pini, F., Leali, F., & Secchi, C. (2018). Survey on human-robot collaboration in industrial settings: Safety, intuitive interfaces and applications. Mechatronics, 55, pp. 248-266. 116. Vojić, S. (2020). Applications of collaborative industrial robots. Machines. Technologies. Materials., 14(3), pp. 96-99. 117. Vysocky, A. & Novak, P. (2016). Human-robot collaboration in industry. MM Science Journal, 9(2), pp. 903-906. 118. Walker, M., Hedayati, H., Lee, J., & Szafir, D. (2018). Communicating robot motion intent with augmented reality. In: Proceedings of the 2018 ACM/IEEE International Conference on Human- Robot Interaction, pp. 316-324. 119. Weiss, A. Wortmeier, A. K., & Kubicek, B. (2021). Cobots in industry 4.0: A roadmap for future practice studies on human-robot collaboration. IEEE Transactions on Human-Machine Systems, 51(4), pp. 335-345. 120. Weiss, A., Wurhofer, D., Lankes, M., & Tscheligi, M. (2009). Autonomous vs. tele-operated: How people perceive human-robot collaboration with HRP-2. In: Proceedings of the 4th ACM/IEEE International Conference on Human Robot Interaction, pp. 257-258. 121. Wickens, C. D. & Carswell, C. M. (1984). Information processing. Handbook of Human Factors and Ergonomics, pp. 114-158. 122. Wickens, C. D., Helton, W. S., Hollands, J. G., & Banbury, S. (2021). Engineering Psychology and Human Performance. Routledge. 123. Witmer, B. G., Jerome, C. J., & Singer, M. J. (2005). The factor structure of the presence questionnaire. Presence: Teleoperators & Virtual Environments, 14(3), pp. 298-312. 124. Xiao, M. (2022). Collaborative market rebounds in 2021. Control Engineering. https://www.controleng.com/articles/collaborative-market-rebounds-in-2021/. 125. Yang, J., Sasikumar, P., Bai, H., Barde, A., Sörös, G., & Billinghurst, M. (2020). The effects of spatial auditory and visual cues on mixed reality remote collaboration. Journal on Multimodal User Interfaces, 14, pp. 337-352.
|