Abstract
With the rapid development of AR technology, the interaction between humans and computers has become increasingly complex and frequent. However, many interactive technologies in AR currently do not have a very perfect interaction mode, and they are facing huge challenges in terms of design and technical implementation, including that AR gesture interaction methods have not yet been established. There is no universal gesture vocabulary in currently developed AR applications. Identifying appropriate gestures for aerial interaction is an important design decision based on criteria such as ease of learning, metaphors, memory, subjective fatigue, and effort [1]. It must be designed and confirmed in the early stages of system development, and will seriously affect each aerial application project development process as well as the intended user of the user experience (UX) [2]. Thanks to user-centric and user-defined role-playing method, this paper set up a suitable car simulation scenarios, allowing users to define the 3D space matches the information exchange system under AR design environment based on their habits and cultural backgrounds, in particular, It is a demanding gesture during the tour guide and proposes a mental model of gesture preference.
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References
Hou, W., Feng, G., Cheng, Y.: A fuzzy interaction scheme of mid-air gesture elicitation. J. Vis. Commun. Image Represent. 64, 102637 (2019)
Nair, D., Sankaran, P.: Color image dehazing using surround filter and dark channel prior. J. Vis. Commun. Image Represent. 50, 9–15 (2018)
Graham, M., Zook, M., Boulton, A.: Augmented reality in urban places: contested content and the duplicity of code. Trans. Inst. Br. Geogr. 38, 464–479 (2013)
Zhang, S., Hou, W., Wang, X.: Design and study of popular science knowledge learning method based on augmented reality virtual reality interaction. Packag. Eng. 20, 60–67 (2017)
Lea, R., Gibbs, S., Dara-Abrams, A., Eytchison, E.: Networking home entertainment devices with HAVi. Computer 33, 35–43 (2000)
Basari, Saito, K., Takahashi, M., Ito, K.: Measurement on simple vehicle antenna system using a geostationary satellite in Japan. In: 2010 7th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP 2010), pp. 81–85 (2010)
Hancock, P., Billings, D., Schaefer, K., Chen, J., de Visser, E., Parasuraman, R.: A meta-analysis of factors affecting trust in human-robot interaction. Hum. Factors 53, 517–527 (2011)
Atta, R., Ghanbari, M.: Low-memory requirement and efficient face recognition system based on DCT pyramid. IEEE Trans. Consum. Electron. 56, 1542–1548 (2010)
Ben-Abdennour, A., Lee, K.Y.: A decentralized controller design for a power plant using robust local controllers and functional mapping. IEEE Trans. Energy Convers. 11, 394–400 (1996)
Pramanik, R., Bag, S.: Shape decomposition-based handwritten compound character recognition for Bangla OCR. J. Vis. Commun. Image Represent. 50, 123–134 (2018)
Bai, C., Chen, J.-N., Huang, L., Kpalma, K., Chen, S.: Saliency-based multi-feature modeling for semantic image retrieval. J. Vis. Commun. Image Represent. 50, 199–204 (2018)
Han, J., et al.: Representing and retrieving video shots in human-centric brain imaging space. IEEE Trans. Image Process. 22, 2723–2736 (2013)
Goffman, E.: The Presentation of Self in Everyday Life. Doubleday, Oxford (1959)
Asheim, L.: Libr. Q.: Inf. Commun. Policy 56, 65–66 (1986)
Robert, S.: Age of Context: Mobile. Sensors, Data and the Future of Privacy (2013)
Liang, K., Li, Y.: Interaction design flow based on user scenario. Packag. Eng. 39(16), 197–201 (2018)
Wei, W.: Research on digital exhibition design based on scene interaction. Design 17, 46–48 (2018)
Blackler, A., Popovic, V., Mahar, D.: Investigating users’ intuitive interaction with complex artefacts. Appl. Ergon. 41, 72–92 (2010)
Cooper, A., Reimann, R., Cronin, D.: About Face 3: The Essentials of Interaction Design. Wiley, Indiana (2007)
Xu, M., Li, M., Xu, W., Deng, Z., Yang, Y., Zhou, K.: Interactive mechanism modeling from multi-view images. ACM Trans. Graph. 35, 236:201–236:213 (2016)
Han, J., Zhang, D., Hu, X., Guo, L., Ren, J., Wu, F.: Background prior-based salient object detection via deep reconstruction residual. IEEE Trans. Circuits Syst. Video Technol. 25, 1309–1321 (2015)
Xu, M., Zhu, J., Lv, P., Zhou, B., Tappen, M.F., Ji, R.: Learning-based shadow recognition and removal from monochromatic natural images. IEEE Trans. Image Process. 26, 5811–5824 (2017)
Xu, M., Li, C., Lv, P., Lin, N., Hou, R., Zhou, B.: An efficient method of crowd aggregation computation in public areas. IEEE Trans. Circuits Syst. Video Technol. 28, 2814–2825 (2018)
Wobbrock, J.O., Aung, H.H., Rothrock, B., Myers, B.A.: Maximizing the guessability of symbolic input. In: CHI 2005 Extended Abstracts on Human Factors in Computing Systems, pp. 1869–1872. ACM, Portland (2005)
Wobbrock, J.O., Morris, M.R., Wilson, A.D.: User-defined gestures for surface computing. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1083–1092. ACM, Boston (2009)
Ruiz, J., Li, Y., Lank, E.: User-defined motion gestures for mobile interaction. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 197–206. ACM, Vancouver (2011)
Silpasuwanchai, C., Ren, X.: Jump and shoot!: prioritizing primary and alternative body gestures for intense gameplay. In: Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems, pp. 951–954. ACM, Toronto (2014)
Leng, H.Y., Norowi, N.M., Jantan, A.H.: A user-defined gesture set for music interaction in immersive virtual environment. In: Proceedings of the 3rd International Conference on Human-Computer Interaction and User Experience in Indonesia, pp. 44–51. ACM, Jakarta (2017)
Anderson, S., Heartbeat-A Guide to Emotional Interaction Design, Revised edn. (2015)
Chen, Z., et al.: User-defined gestures for gestural interaction: extending from hands to other body parts. Int. J. Hum.-Comput. Interact. 34, 238–250 (2018)
Vatavu, R.-D., Wobbrock, J.O.: Formalizing agreement analysis for elicitation studies: new measures, significance test, and toolkit. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, pp. 1325–1334. ACM, Seoul (2015)
Dim, N.K., Silpasuwanchai, C., Sarcar, S., Ren, X.: Designing mid-air TV gestures for blind people using user- and choice-based elicitation approaches. In: Proceedings of the 2016 ACM Conference on Designing Interactive Systems, pp. 204–214. ACM, Brisbane (2016)
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Wei, XL., Xi, R., Hou, Wj. (2020). User-Centric AR Sceneized Gesture Interaction Design. In: Chen, J.Y.C., Fragomeni, G. (eds) Virtual, Augmented and Mixed Reality. Design and Interaction. HCII 2020. Lecture Notes in Computer Science(), vol 12190. Springer, Cham. https://doi.org/10.1007/978-3-030-49695-1_24
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