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FPSI-Fingertip pose and state-based natural interaction techniques in virtual environments

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Abstract

Simple and natural interaction has a vital role in any realistic virtual environment (VE). This research proposes a set of lightweight gesture-based techniques for interaction in VEs with a focus on high accuracy, performance, and usability. The proposed techniques use a single fingertip pose and state for object/task selection, translation, navigation, rotation, and scaling. Four different techniques are proposed for interaction, i.e., MSGE (Menu-based task selection and gesture-based task execution), GSGE (Gesture-based task selection and gesture-based task execution), SGTE (Single gesture for task selection and execution), and TSGE (Time slice-based task selection and gesture-based task execution). Keeping in mind the concept of re-usability, the index-tip spatial position is used for task operation in all techniques. For experimental evaluation of the proposed techniques, a VE is designed in Unity3D, while interaction is carried out using the Leap Motion controller. The experimental study was conducted with forty (40) volunteer participants and two experts (authors). Experimental results show improved accuracy for TSGE (participants 97.22%, and experts 97.22%) as compared to others (participants: SGTE 95.55%, GSGE 94.44%, and MSGE 92.75%, experts: SGTE 94.44%, GSGE 94.44%, and MSGE 91.67%). Similarly, the results show high task performance for TSGE (participants 112.9 seconds, SD 5.3, experts 101.75 seconds, SD 3.3) as compared to others (participants: SGTE 117.2 seconds, SD 5.7, GSGE 121.8 seconds, SD 8.0, and MSGE 126.7 seconds, SD 12.9 and experts: SGTE 107.0, SD 5.7, GSGE 113.25, SD 3.5, and MSGE 122.0 seconds, SD 3.6). In addition, usability analysis shows high usability for the proposed interaction techniques, i.e., TSGE (SUS score 98.5), SGTE (SUS score 95.75), GSGE (SUS score 95.25), MSGE (SUS score 94.75). Furthermore, a comparative study with state-of-the-art interaction techniques showed a high accuracy rate, multiple tasks, and reusability support, use of easy to learn and use and fewer features-based gestures (fingertip gestures), and multiple interaction techniques (four techniques) support for the proposed techniques.

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Author information

Authors and Affiliations

  1. Department of CS and IT, University of Malakand, Chakdara, 18800, Khyber Pakhtunkhwa, Pakistan

    Inam Ur Rehman & Sehat Ullah

  2. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China

    Dawar Khan

  3. Department of Information Technology, University of Haripur, Haripur, 22620, Khyber Pakhtunkhwa, Pakistan

    Dawar Khan

Authors
  1. Inam Ur Rehman
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  2. Sehat Ullah
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  3. Dawar Khan
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Corresponding author

Correspondence to Inam Ur Rehman.

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Additional information

Ethical approval

All the techniques brought under use in the concerned study with the code of conduct and with the proper ethical standards of the institutional and national research committee.

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Appendices

Appendix A: : The SUS questionnaire

The SUS questionnaire consists of the following questions:

  1. 1.

    I think I would like to use this system frequently.

  2. 2.

    I found the system unnecessarily complex.

  3. 3.

    I thought the system was easy to use.

  4. 4.

    I think that I would need the support of a technical person to be able to use this system.

  5. 5.

    I found the various functions in this system were well integrated.

  6. 6.

    I thought there was too much inconsistency in this system.

  7. 7.

    I imagine that most people would learn to use this system very quickly.

  8. 8.

    I found the system very cumbersome to use.

  9. 9.

    I felt very confident using the system.

  10. 10.

    I needed to learn a lot of things before I could get going with this system.

Appendix B: Usability (SUS score) of all groups

The usability results of all groups are shown in Tables 4, 5, 6 and 7 using SUS score.

Table 4 SUS questionnaire results of G1 students’ opinion who used right-hand index fingertip based task selection from the menu and right-hand index fingertip based task operation
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Table 5 SUS questionnaire results of G2 students’ opinion who used right-hand gestures for task selection and right-hand index fingertip based task operation
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Table 6 SUS questionnaire results of G3 students’ opinions who used right-hand individual fingers for task selection and operation
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Table 7 SUS questionnaire results of G4 students’ opinion who used time slice-based task selection while right-hand fingertip for task execution
Full size table

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Rehman, I.U., Ullah, S. & Khan, D. FPSI-Fingertip pose and state-based natural interaction techniques in virtual environments. Multimed Tools Appl 82, 20711–20740 (2023). https://doi.org/10.1007/s11042-022-13824-w

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