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Optimizing Information Seeking for Multi-person Collaboration: Evaluating the Influence of Various Zoom Centers and Interaction Modals

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Design, User Experience, and Usability (HCII 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14712))

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Abstract

In collaborative multi-user environments, participants must often locate and assimilate information from specific screen regions swiftly and repeatedly. This necessity can engender operational redundancies that detrimentally impact the efficacy of collaborative efforts. To address this issue, the present study conceptualizes information-seeking behaviors as screen zoom actions and devises an experimental framework wherein the zoom center and the modality of interaction serve as independent variables. The objective is to ascertain which modal of interaction facilitates the most efficient information retrieval. The findings indicate that voice commands with clearly defined semantics significantly enhance information search efficiency. Conversely, the performance of traditional keyboard_mouse inputs and rudimentary voice commands is markedly diminished. Collectively, this research delineates the interaction dynamics elicited by diverse modalities within a singular task context, thereby offering novel insights for ameliorating operational redundancies in multi-user collaborative settings.

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References 

  1. Ens, B.: Revisiting collaboration through mixed reality: the evolution of groupware. Inter. J. Hum.-Comput. Stud. 131(SI), 81–98 (2019)

    Google Scholar 

  2. Hu, Y.: Hand-Eye Collaborative interaction design of virtual object in mixed reality sand table. Packaging Eng. 43(6), 1–10 (2022)

    Google Scholar 

  3. Lee, B.: Shared surfaces and spaces: collaborative data visualisation in a co-located immersive environment. IEEE Trans. Visualizat. Comput. Graph. 27(2), 1171–1181 (2021)

    Google Scholar 

  4. Madni, T.M.: Usability evaluation of orientation techniques for medical image analysis using tabletop system. In: 2016 3rd International Conference on Computer and Information Sciences (ICCOINS), pp. 477–482. IEEE, Kuala Lumpur (2016)

    Google Scholar 

  5. Forlines, C.: DTLens: multi-user tabletop spatial data exploration. In: Proceedings of the 18th Annual ACM Symposium on User Interface Software and Technology, pp. 119–122. Association for Computing Machinery, New York (2005)

    Google Scholar 

  6. Yuill, N.: Mechanisms for collaboration: A design and evaluation framework for multi-user interfaces. ACM Trans. Comput.-Hum. Interact. 19(1), 1–25 (2012)

    Google Scholar 

  7. Song, T.: Augmented reality collaborative medical displays (ARC-MeDs) for multi-user surgical planning and intra-operative communication. Comput. Methods  Biomech. Biomed. Eng. Imaging & Visualizat. 11(4), 1042–1049 (2023)

    Article  Google Scholar 

  8. Johansen, R.: GroupWare: Computer Support for Business Teams. The Free Press, USA (1988)

    Google Scholar 

  9. Du, X., Jia, L.: Trackable and Personalized Shortcut Menu Supporting Multi-user Collaboration. In: Kurosu, M. (ed.) Human-Computer Interaction. Technological Innovation 2022, LNCS, vol. 13303, pp. 28–41. Springer, Heidelberg (2022). https://doi.org/10.1007/978-3-031-05409-9_3

    Chapter  Google Scholar 

  10. Speicher, M.: 360Anywhere: mobile Ad-hoc collaboration in any environment using 360 video and augmented reality. In: Proceedings of ACM Human-Computer Interaction, vol. 2(EICS), pp. 1–20 (2018)

    Google Scholar 

  11. Piumsomboon, T.: CoVAR: a collaborative virtual and augmented reality system for remote collaboration. In: SIGGRAPH Asia 2017 Emerging Technologies, pp. 1–2. Association for Computing Machinery, New York (2017)

    Google Scholar 

  12. Feng, S.: ARCoA: Using the AR-assisted cooperative assembly system to visualize key information about the occluded partner. Inter. J. Hum.-Comput. Interact. 39(18), 3556–3566 (2023)

    Article  Google Scholar 

  13. Kong, Y.: Comparison of reading performance on screen and on paper: A meta-analysis. Comput. Educ. 123, 138–149 (2018)

    Article  Google Scholar 

  14. Jin, H., David, B.: Exploring initiative interactions on a proxemic and ambient public screen. In: Kurosu, M. (ed.) Human-Computer Interaction. Advanced Interaction Modalities and Techniques 2014, LNCS, vol. 8511, pp. 567–577. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-319-07230-2_54

  15. Sharif, A.: VoxLens: Making online data visualizations accessible with an interactive javascript plug-in. In: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, pp. 1–19. Association for Computing Machinery, New York (2022)

    Google Scholar 

  16. Manlai, Y.: A usability evaluation of web map zoom and pan functions. Inter. J. Design 1(1), (2007)

    Google Scholar 

  17. Touya, G.: Please, Help Me! I Am Lost in Zoom. In: Proceedings of the International Cartographic Association, pp. 1–4. Copernicus Publications, Florence (2021)

    Google Scholar 

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Acknowledgments

This work was supported jointly by the National Natural Science Foundation of China (grant numbers 72271053, 52275238).

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The authors have no competing interests to declare that are relevant to the content of this article.

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Correspondence to Chengqi Xue .

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Guo, X., Du, X., Chen, J., Zhou, X., Xue, C. (2024). Optimizing Information Seeking for Multi-person Collaboration: Evaluating the Influence of Various Zoom Centers and Interaction Modals. In: Marcus, A., Rosenzweig, E., Soares, M.M. (eds) Design, User Experience, and Usability. HCII 2024. Lecture Notes in Computer Science, vol 14712. Springer, Cham. https://doi.org/10.1007/978-3-031-61351-7_16

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  • DOI: https://doi.org/10.1007/978-3-031-61351-7_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-61350-0

  • Online ISBN: 978-3-031-61351-7

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