Abstract
Target selection is one of the most essential and common tasks in 3D interaction. Grasping interaction is an innate ability of human beings. As the most basic form of target selection interaction, it is widely used in target selection tasks. Previous work has explored the impact of various feedback factors on the interaction efficiency of grasping target selection. However, research has yet to focus on the impact of the interactive range of objects on target selection efficiency. This study takes the interactive range of objects as the research goal, builds an experimental platform based on a glasses-free 3D display, and evaluates the impact of the interactive range of objects on grasping performance and task load under different interactive object layouts. The results show that the interactive range of objects significantly impacts the performance and accuracy of grasping interaction. Reducing the interactive range can improve accuracy and increase the time spent on the task. Increasing the interactive range can shorten the time spent on the task. However, it will also reduce the accuracy. We also observe that the interactive range does not significantly impact the task load. This study initially reveals the relationship between the interactive range of objects and target selection task performance and experience. It provides suggestions for the design of three-dimensional interactive applications.
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References
Hua, J., Qiao, W., Chen, L.: Recent advances in planar optics-based glasses-free 3d displays. Front. Nanotechnol. 4, 829011 (2022)
Dodgson, N.A.: Autostereoscopic 3d displays. Computer 38(8), 31–36 (2005)
El-Shimy, D., Marentakis, G., Cooperstock, J.R.: Tech-note: multimodal feedback in 3d target acquisition. In: 2009 IEEE Symposium on 3D User Interfaces, pp. 95–98. IEEE (2009)
Adhikarla, V.K., Woźniak, P., Barsi, A., Singhal, D., Kovács, P.T., Balogh, T.: Freehand interaction with large-scale 3d map data. In: 2014 3DTV-Conference: The True Vision-Capture, Transmission and Display of 3D Video (3DTV-CON), pp. 1–4. IEEE (2014)
Yu, D., Liang, H.N., Lu, F., Nanjappan, V., Papangelis, K., Wang, W., et al.: Target selection in head-mounted display virtual reality environments. J. Univers. Comput. Sci. 24(9), 1217–1243 (2018)
Santos, B.S., Cardoso, J., Ferreira, B.Q., Ferreira, C., Dias, P.: Developing 3d freehand gesture-based interaction methods for virtual walkthroughs: using an iterative approach. In: Handbook of Research on Human-Computer Interfaces, Developments, and Applications, pp. 52–72. IGI Global (2016)
Bowman, D.A., Hodges, L.F.: An evaluation of techniques for grabbing and manipulating remote objects in immersive virtual environments. In: Proceedings of the 1997 Symposium on Interactive 3D Graphics, pp. 35–ff (1997)
Geiger, A., Bewersdorf, I., Brandenburg, E., Stark, R.: Visual feedback for grasping in virtual reality environments for an interface to instruct digital human models. In: Ahram, T., Falcão, C. (eds.)Advances in Usability and User Experience: Proceedings of the AHFE 2017 International Conference on Usability and User Experience, 17-21 July 2017, The Westin Bonaventure Hotel, Los Angeles, California, USA, pp. 228–239. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-60492-3_22
Blaga, A.D., Frutos-Pascual, M., Creed, C., Williams, I.: A grasp on reality: understanding grasping patterns for object interaction in real and virtual environments. In: 2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-adjunct), pp. 391–396. IEEE (2021)
Al-Kalbani, M., Frutos-Pascual, M., Williams, I.: Freehand grasping in mixed reality: analysing variation during transition phase of interaction. In: Proceedings of the 19th ACM International Conference on Multimodal Interaction, pp. 110–114 (2017)
Adkins, A., Lin, L., Normoyle, A., Canales, R., Ye, Y., Jörg, S.: Evaluating grasping visualizations and control modes in a VR game. ACM Trans. Appl. Percept. (TAP) 18(4), 1–14 (2021)
Cui, J., Sourin, A.: Mid-air interaction with optical tracking for 3d modeling. Comput. Graph. 74, 1–11 (2018)
Al-Kalbani, M., Williams, I., Frutos-Pascual, M.: Analysis of medium wrap freehand virtual object grasping in exocentric mixed reality. In: 2016 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp. 84–93. IEEE (2016)
Ganias, G., Lougiakis, C., Katifori, A., Roussou, M., Ioannidis, Y., et al.: Comparing different grasping visualizations for object manipulation in VR using controllers. IEEE Trans. Visual Comput. Graph. 29(5), 2369–2378 (2023)
Borst, C.W., Indugula, A.P.: Realistic virtual grasping. In: IEEE Proceedings. VR 2005. Virtual Reality, 2005, pp. 91–98. IEEE (2005)
Santello, M., Flanders, M., Soechting, J.F.: Postural hand synergies for tool use. J. Neurosci. 18(23), 10105–10115 (1998)
Hart, S.G., Staveland, L.E.: Development of NASA-TLX (task load index): results of empirical and theoretical research. Adv. Psychol. 52, 139–183 (1988)
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Wang, H., Hou, W., Cao, Y., Yang, B. (2024). Exploring the Relationship Between the Interactive Range of Objects and the Performance of Freehand Grasping Interaction in Glasses-Free 3D Scenes. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2024 Posters. HCII 2024. Communications in Computer and Information Science, vol 2116. Springer, Cham. https://doi.org/10.1007/978-3-031-61950-2_17
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DOI: https://doi.org/10.1007/978-3-031-61950-2_17
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