Abstract
As artificial intelligence (AI) is applied at an increasing frequency in various fields, the number of studies on the user experience (UX) design of human-AI interaction is also increasing. However, the results of these studies on AI UX design principles are insufficient for actual AI systems. In light of this fact, the purpose of this study was to upgrade the UX design of a defense system that uses AI technology to detect land changes and targets. In order to upgrade the UX design of this AI system, a three-step procedure was executed. First, AI UX principles were derived by analyzing literature related to human-AI interaction. Second, ideation was performed to improve the interface. Finally, the results of the ideation were utilized to construct the UX prototype of the AI system with Adobe XD. The results of this study are expected to be used as fundamental data for future research that will develop UX principles and advanced methods for AI systems.
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References
Yu, K.H., Beam, A.L., Kohane, I.S.: Artificial intelligence in healthcare. Nat. Biomed. Eng. 2(10), 719–731 (2018). https://doi.org/10.1038/s41551-018-0305-z
Holmes, W.: Artificial intelligence in education. In: Encyclopedia of Education and Information Technologies, pp. 1–16 (2019). https://doi.org/10.1007/978-3-319-60013-0_107-1
Zeng, D., Chen, H., Lusch, R., Li, S.-H.: Social media analytics and intelligence. IEEE Intell. Syst. 25(6), 13–16 (2010). https://doi.org/10.1109/mis.2010.151
Amir, S., Ahmad, F.: Artificial intelligence and its prospective use in armed forces (2019)
Nasirian, F., Ahmadian, M., Lee, O.-K.D.: AI-based voice assistant systems: evaluating from the interaction and trust perspectives (2017)
Adadi, A., Berrada, M.: Peeking inside the black-box: a survey on explainable artificial intelligence (XAI). IEEE Access 6, 52138–52160 (2018). https://doi.org/10.1109/access.2018.2870052
Gunning, D., et al.: XAI—explainable artificial intelligence. Sci. Robot. 4(37) (2019). https://doi.org/10.1126/scirobotics.aay7120
Rai, A.: Explainable AI: from black box to glass box. J. Acad. Mark. Sci. 48(1), 137–141 (2019). https://doi.org/10.1007/s11747-019-00710-5
Amershi, S., et al.: Guidelines for human-AI interaction. In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (2019). https://doi.org/10.1145/3290605.3300233
Lu, D., et al.: Change detection techniques. Int. J. Remote Sens. 25(12), 2365–2401 (2004). https://doi.org/10.1080/0143116031000139863
Abdelpakey, M.H., Shehata, M.S., Mohamed, M.M.: DensSiam: end-to-end densely-siamese network with self-attention model for object tracking. In: Bebis, G., et al. (eds.) ISVC 2018. LNCS, vol. 11241, pp. 463–473. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-03801-4_41
Li, W., Xiang, S., Wang, H., Pan, C.: Robust airplane detection in satellite images. In: 2011 18th IEEE International Conference on Image Processing (2011). https://doi.org/10.1109/icip.2011.6116259
Redmon, J., Farhadi, A.: YOLOv3: an incremental improvement. arXiv preprint arXiv:1804.02767 (2018)
Choi, D.K., Lee, C.W., Lee, C.: A graphical user interface design for surveillance and security robot. J. Korea Robot. Soc. 10(1), 24–32 (2015). https://doi.org/10.7746/jkros.2015.10.1.024
Inkpen, K., Chancellor, S., De Choudhury, M., Veale, M., Baumer, E.P.S.: Where is the human? In: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (2019). https://doi.org/10.1145/3290607.3299002
Acknowledgment
This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2021-2016-0-00288) supervised by the IITP (Institute for Information & Communications Technology Planning & Evaluation).
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Park, S., Kim, H.K., Lee, Y., Park, G., Lee, D. (2022). User Experience Design for Defense Systems with AI. In: Kim, JH., Singh, M., Khan, J., Tiwary, U.S., Sur, M., Singh, D. (eds) Intelligent Human Computer Interaction. IHCI 2021. Lecture Notes in Computer Science, vol 13184. Springer, Cham. https://doi.org/10.1007/978-3-030-98404-5_23
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DOI: https://doi.org/10.1007/978-3-030-98404-5_23
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