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Welicit: A Wizard of Oz Tool for VR Elicitation Studies

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Human-Computer Interaction – INTERACT 2021 (INTERACT 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12936))

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Abstract

Recent advances and availability of consumer hardware has enabled the proliferation of voice, head-gaze, haptic and gesture-based interactions in VR applications. However, interactions are often the result of idiosyncratic designs and little has been investigated about user preferences and behaviour. Elicitation and Wizard of Oz (WOz) studies showed potential to design user-informed intuitive and discoverable interactions in a wide range of domains. In this paper we introduce Welicit, a WOz tool to support researchers in running VR elicitation studies. The system provides tools to adapt the elicitation methodology to immersive environments by allowing users to experience the result of proposed interactions. We discuss a use case in which the tool has been used to uncover multimodal speech+gesture interactions in VR.

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Notes

  1. 1.

    https://github.com/aframevr/aframe-inspector.

References

  1. Baudel, T., Beaudouin-Lafon, M.: Charade: remote control of objects using free-hand gestures. Commun. ACM 36(7), 28–35 (1993)

    Article  Google Scholar 

  2. Bellucci, A., Zarraonandia, T., Díaz, P., Aedo, I.: End-user prototyping of cross-reality environments. In: Proceedings of the Eleventh International Conference on Tangible, Embedded, and Embodied Interaction, pp. 173–182 (2017)

    Google Scholar 

  3. Connell, S., Kuo, P.Y., Liu, L., Piper, A.M.: A wizard-of-Oz elicitation study examining child-defined gestures with a whole-body interface. In: Proceedings of the 12th International Conference on Interaction Design and Children, pp. 277–280 (2013)

    Google Scholar 

  4. Dow, S., Lee, J., Oezbek, C., MacIntyre, B., Bolter, J.D., Gandy, M.: Wizard of Oz interfaces for mixed reality applications. In: CHI 2005 Extended Abstracts on Human Factors in Computing Systems, pp. 1339–1342 (2005)

    Google Scholar 

  5. Grandi, J.G., Debarba, H.G., Nedel, L., Maciel, A.: Design and evaluation of a handheld-based 3D user interface for collaborative object manipulation. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pp. 5881–5891 (2017)

    Google Scholar 

  6. Grill, T., Polacek, O., Tscheligi, M.: ConWIZ: a tool supporting contextual wizard of Oz simulation. In: Proceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia, pp. 1–8 (2012)

    Google Scholar 

  7. Höysniemi, J., Hämäläinen, P., Turkki, L.: Wizard of Oz prototyping of computer vision based action games for children. In: Proceedings of the 2004 Conference on Interaction Design and Children: Building a Community, pp. 27–34 (2004)

    Google Scholar 

  8. Hudson, S.E., Mankoff, J.: Concepts, values, and methods for technical human–computer interaction research. In: Olson, J.S., Kellogg, W.A. (eds.) Ways of Knowing in HCI, pp. 69–93. Springer, New York (2014). https://doi.org/10.1007/978-1-4939-0378-8_4

    Chapter  Google Scholar 

  9. Klemmer, S.R., Sinha, A.K., Chen, J., Landay, J.A., Aboobaker, N., Wang, A.: SUEDE: a wizard of Oz prototyping tool for speech user interfaces. In: Proceedings of the 13th Annual ACM Symposium on User Interface Software And Technology, pp. 1–10 (2000)

    Google Scholar 

  10. Lang, T., Maclntyre, B., Zugaza, I.J.: Massively multiplayer online worlds as a platform for augmented reality experiences. In: 2008 IEEE Virtual Reality Conference, pp. 67–70. IEEE (2008)

    Google Scholar 

  11. Lee, M., Billinghurst, M.: A wizard of Oz study for an AR multimodal interface. In: Proceedings of the 10th International Conference on Multimodal Interfaces, pp. 249–256 (2008)

    Google Scholar 

  12. MacIntyre, B., Gandy, M., Dow, S., Bolter, J.D.: DART: a toolkit for rapid design exploration of augmented reality experiences. In: Proceedings of the 17th annual ACM Symposium on User Interface Software and Technology, pp. 197–206 (2004)

    Google Scholar 

  13. Magrofuoco, N., Vanderdonckt, J.: Gelicit: a cloud platform for distributed gesture elicitation studies. Proc. ACM Hum.-Comput. Interact. 3(EICS), 1–41 (2019)

    Article  Google Scholar 

  14. Morris, M.R.: Web on the wall: insights from a multimodal interaction elicitation study. In: Proceedings of the 2012 ACM International Conference on Interactive Tabletops and Surfaces, pp. 95–104 (2012)

    Google Scholar 

  15. Nanjappan, V., Liang, H.N., Lu, F., Papangelis, K., Yue, Y., Man, K.L.: User-elicited dual-hand interactions for manipulating 3d objects in virtual reality environments. Hum.-Cent. Comput. Inf. Sci. 8(1), 1–16 (2018)

    Article  Google Scholar 

  16. Nebeling, M., Ott, D., Norrie, M.C.: Kinect analysis: a system for recording, analysing and sharing multimodal interaction elicitation studies. In: Proceedings of the 7th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, pp. 142–151 (2015)

    Google Scholar 

  17. Pham, T., Vermeulen, J., Tang, A., MacDonald Vermeulen, L.: Scale impacts elicited gestures for manipulating holograms: implications for AR gesture design. In: Proceedings of the 2018 Designing Interactive Systems Conference, pp. 227–240 (2018)

    Google Scholar 

  18. Piumsomboon, T., Clark, A., Billinghurst, M., Cockburn, A.: User-defined gestures for augmented reality. In: Kotzé, P., Marsden, G., Lindgaard, G., Wesson, J., Winckler, M. (eds.) INTERACT 2013. LNCS, vol. 8118, pp. 282–299. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-40480-1_18

    Chapter  Google Scholar 

  19. Salber, D., Coutaz, J.: Applying the wizard of Oz technique to the study of multimodal systems. In: Bass, L.J., Gornostaev, J., Unger, C. (eds.) EWHCI 1993. LNCS, vol. 753, pp. 219–230. Springer, Heidelberg (1993). https://doi.org/10.1007/3-540-57433-6_51

    Chapter  Google Scholar 

  20. 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 (2009)

    Google Scholar 

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Acknowledgments

This work was supported by the Spanish State Research Agency (AEI) under grants Sense2MakeSense (PID2019-109388GB-I00) and CrossColab (PGC2018-101884-B-I00).

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Authors and Affiliations

  1. Universidad Carlos III de Madrid (UC3M), Avenida de la Universidad, 30, 28911, Leganés, Madrid, Spain

    Andrea Bellucci, Telmo Zarraonandia, Paloma Díaz & Ignacio Aedo

Authors
  1. Andrea Bellucci
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  2. Telmo Zarraonandia
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  3. Paloma Díaz
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  4. Ignacio Aedo
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Corresponding author

Correspondence to Andrea Bellucci .

Editor information

Editors and Affiliations

  1. Department of Electrical and Information Engineering, Polytechnic University of Bari, Bari, Italy

    Carmelo Ardito

  2. Computer Science Department, University of Bari Aldo Moro, Bari, Italy

    Rosa Lanzilotti

  3. Computer Science Department, University of Pisa, Pisa, Italy

    Alessio Malizia

  4. Department of Computer Science, University of York, York, UK

    Helen Petrie

  5. Computer Science Department, University of Bari Aldo Moro, Bari, Italy

    Antonio Piccinno

  6. Computer Science Department, University of Bari Aldo Moro, Bari, Italy

    Giuseppe Desolda

  7. Microsoft Research, Redmond, WA, USA

    Kori Inkpen

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Bellucci, A., Zarraonandia, T., Díaz, P., Aedo, I. (2021). Welicit: A Wizard of Oz Tool for VR Elicitation Studies. In: Ardito, C., et al. Human-Computer Interaction – INTERACT 2021. INTERACT 2021. Lecture Notes in Computer Science(), vol 12936. Springer, Cham. https://doi.org/10.1007/978-3-030-85607-6_6

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  • DOI: https://doi.org/10.1007/978-3-030-85607-6_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85606-9

  • Online ISBN: 978-3-030-85607-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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