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HandyTool: Object Manipulation Through Metaphorical Hand/Fingers-to-Tool Mapping

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HCI International 2019 - Posters (HCII 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1033))

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Abstract

In this paper, we introduce “HandyTool” a method (and an interface) for virtual object manipulation based on a metaphorical/structural mapping of various everyday tools to our hands and fingers. The basic idea is to virtually transform the hand/fingers into a proper tool (e.g. a fist becoming a hammer head) and gesturally apply it (e.g. hammer in to insert) to and manipulate the target object (e.g. a nail) directly. The main intended objective of HandyTool is to enhance the tool usage experience by one (or one’s body part) becoming the tool itself and thereby also possibly improving the task performance. A usability experiment was carried out to assess the projected merits, comparing HandyTool to the case of the as-is emulation of the tool usage (i.e. the tracked hand/finger controlling the tool to apply it to the target object) and to the case of using the controller. Our experiment was not able to show the clear and full potential of HandyTool because of the current performance limitation of the hand/fingers tracking sensor and due to the simplicity in the structural mapping between the tool and hand/fingers. The structural metaphor itself was still shown to be helpful when the controller was used (i.e. stable sensing).

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References

  1. Argelaguet, F., Andujar, C.: A survey of 3D object selection techniques for virtual environments. Comput. Graph. 37(3), 121–136 (2013)

    Article  Google Scholar 

  2. Bowman, D., Kruijff, E., LaViola Jr., J.J., Poupyrev, I.P.: 3D User Interfaces: Theory and Practice, CourseSmart eTextbook. Addison-Wesley, Boston (2004)

    Google Scholar 

  3. Hart, S.G., Staveland, L.E.: Development of NASA-TLX (Task Load Index): results of empirical and theoretical research. In: Advances in Psychology, North-Holland, vol. 52, pp. 139–183 (1988)

    Google Scholar 

  4. HTC VIVE. https://www.vive.com/us/product/vive-virtual-reality-system/

  5. Kennedy, R.S., Lane, N.E., Berbaum, K.S., Lilienthal, M.G.: Simulator sickness questionnaire: an enhanced method for quantifying simulator sickness. Int. J. Aviat. Psychol. 3(3), 203–220 (1993)

    Article  Google Scholar 

  6. LeapMotion. https://www.leapmotion.com/

  7. Mendes, D., Caputo, F. M., Giachetti, A., Ferreira, A., Jorge, J.: A survey on 3D virtual object manipulation: from the desktop to immersive virtual environments. In: Computer Graphics Forum. Wiley Online Library (2018)

    Google Scholar 

  8. Mendes, D., Fonseca, F., Araujo, B., Ferreira, A., Jorge, J.: Mid-air interactions above stereoscopic interactive tables. In: 3D User Interfaces (3DUI), pp. 3–10 (2014)

    Google Scholar 

  9. Microsoft. Kinect Sensor. https://msdn.microsoft.com/ko-kr/library/hh438998.aspx

  10. Oculus. Oculus Rift. https://www.oculus.com/rift/oui-csl-rift-games=mages-tale

  11. Poupyrev, I., Billinghurst, M., Weghorst, S., Ichikawa, T.: The go-go interaction technique: non-linear mapping for direct manipulation in VR. In: Proceedings of the 9th Annual ACM Symposium on User Interface Software and Technology, pp. 79–80 (1996)

    Google Scholar 

  12. Quam, D.L.: Gesture recognition with a dataglove. In: Aerospace and Electronics Conference, pp. 755–760 (1990)

    Google Scholar 

  13. Rekimoto, J.: Gesturewrist and gesturepad: unobtrusive wearable interaction devices. In: Proceedings of Fifth International Symposium on Wearable Computers, pp. 21–27 (2001)

    Google Scholar 

  14. Sony. PlayStation VR. https://www.vive.com/us/product/vive-virtual-reality-system/

  15. Witmer, B.G., Singer, M.J.: Measuring presence in virtual environments: a presence questionnaire. Presence 7(3), 225–240 (1998)

    Article  Google Scholar 

Download references

Acknowledgments

This work was partially supported by the Global Frontier R&D Program on <Human-centered Interaction for Coexistence> funded by the National Research Foundation of Korea grant funded by the Korean Government (MEST) (NRF-2015M3A6A3076490), and by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (NRF-2017M3C1B6070980).

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Correspondence to Gerard J. Kim .

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Seol, E., Kim, G.J. (2019). HandyTool: Object Manipulation Through Metaphorical Hand/Fingers-to-Tool Mapping. In: Stephanidis, C. (eds) HCI International 2019 - Posters. HCII 2019. Communications in Computer and Information Science, vol 1033. Springer, Cham. https://doi.org/10.1007/978-3-030-23528-4_58

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  • DOI: https://doi.org/10.1007/978-3-030-23528-4_58

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-23527-7

  • Online ISBN: 978-3-030-23528-4

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