Advertisement

In-Depth Analysis of Multimodal Interaction: An Explorative Paradigm

  • Felix Schüssel
  • Frank Honold
  • Nikola Bubalo
  • Anke Huckauf
  • Harald Traue
  • Dilana Hazer-Rau
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9732)

Abstract

Understanding the way people interact with multimodal systems is essential for their design and requires extensive empirical research. While approaches to design such systems have been explored from a technical perspective, the generic principles that drive the way users interact with them are largely unknown. Literature describes many findings, most of them specific to certain domains and sometimes even contradicting each other, and thus can hardly be generalized. In this article, we introduce an experimental setup that – despite being rather abstract – remains generic and allows in-depth exploration of various aspects with potential influence on users’ way of interaction. We describe the gamified task of our setup and present different variations for empirical research targeting specific research questions. Applying the experimental paradigm offers the chance for new in-depth insights into the general principles and influencing factors of multimodal interaction, which could in turn be transferred to many real-world applications.

Keywords

Multimodal interaction Experimental paradigm Empirical research Interaction histories Pressure of time and success Cognitive load 

Notes

Acknowledgments

This work was supported by the Transregional Collaborative Research Center SFB/TRR 62 “Companion-Technology for Cognitive Technical Systems”, which is funded by the German Research Foundation (DFG). It is also supported by a Margarete von Wrangell (MvW) habilitation scholarship funded by the Ministry of Science, Research and the Arts (MWK) of the state of Baden-Württemberg for Dilana Hazer-Rau. Some icons from Fig. 1 were designed by www.Freepik.com.

References

  1. 1.
    Cheong, C., Cheong, F., Filippou, J.: Quick quiz: A gamified approach for enhancing learning. In: PACIS, p. 206 (2013)Google Scholar
  2. 2.
    Dey, P., Madhvanath, S., Ranjan, A., Das, S.: An exploration of gesture-speech multimodal patterns for touch interfaces. In: Proceedings of the 3rd International Conference on Human Computer Interaction, IndiaHCI 2011, pp. 79–83. ACM, New York (2011). http://doi.acm.org/10.1145/2407796.2407808
  3. 3.
    Dumas, B., Ingold, R., Lalanne, D.: Benchmarking fusion engines of multimodal interactive systems. In: Proceedings of the 2009 International Conference on Multimodal Interfaces, ICMI-MLMI 2009, pp. 169–176. ACM, New York (2009)Google Scholar
  4. 4.
    Haas, E.C., Pillalamarri, K.S., Stachowiak, C.C., McCullough, G.: Temporal binding of multimodal controls for dynamic map displays: A systems approach. In: Proceedings of the 13th International Conference on Multimodal Interfaces, ICMI 2011, pp. 409–416. ACM, New York (2011). http://doi.acm.org/10.1145/2070481.2070558
  5. 5.
    Lalanne, D., Nigay, L., Palanque, P., Robinson, P., Vanderdonckt, J., Ladry, J.F.: Fusion engines for multimodal input: a survey. In: Proceedings of the 2009 International Conference on Multimodal Interfaces, ICMI-MLMI 2009, pp. 153–160. ACM, New York (2009). http://doi.acm.org/10.1145/1647314.1647343
  6. 6.
    Lee, M., Billinghurst, M.: A wizard of oz study for an ar multimodal interface. In: Proceedings of the 10th International Conference on Multimodal Interfaces, ICMI 2008, pp. 249–256. ACM, New York (2008). http://doi.acm.org/10.1145/1452392.1452444
  7. 7.
    Oviatt, S., Coulston, R., Lunsford, R.: When do we interact multimodally? Cognitive load and multimodal communication patterns. In: Proceedings of the 6th International Conference on Multimodal Interfaces, ICMI 2004, pp. 129–136. ACM, New York (2004)Google Scholar
  8. 8.
    Oviatt, S., Coulston, R., Tomko, S., Xiao, B., Lunsford, R., Wesson, M., Carmichael, L.: Toward a theory of organized multimodal integration patterns during human-computer interaction. In: Proceedings of the 5th International Conference on Multimodal Interfaces, ICMI 2003, pp. 44–51. ACM, New York (2003)Google Scholar
  9. 9.
    Oviatt, S., Lunsford, R., Coulston, R.: Individual differences in multimodal integration patterns: what are they and why do they exist? In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2005 pp. 241–249. ACM, New York (2005)Google Scholar
  10. 10.
    Ryan, R.M., Rigby, C.S., Przybylski, A.: The motivational pull of video games: A self-determination theory approach. Motiv. Emot. 30(4), 344–360 (2006)CrossRefGoogle Scholar
  11. 11.
    Schüssel, F., Honold, F., Weber, M., Schmidt, M., Bubalo, N., Huckauf, A.: Multimodal interaction history and its use in error detection and recovery. In: Proceedings of the 16th ACM International Conference on Multimodal Interaction, ICMI 2014, pp. 164–171. ACM, New York (2014)Google Scholar
  12. 12.
    Smith, A.L., Baker, L.: Getting a clue: creating student detectives and dragon slayers in your library. Reference Services Review 39(4), 628–642 (2011)CrossRefGoogle Scholar
  13. 13.
    Turk, M.: Multimodal interaction: A review. Pattern Recogn. Lett. 36, 189–195 (2014)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Felix Schüssel
    • 1
  • Frank Honold
    • 1
  • Nikola Bubalo
    • 2
  • Anke Huckauf
    • 2
  • Harald Traue
    • 3
  • Dilana Hazer-Rau
    • 3
  1. 1.Institute of Media InformaticsUlm UniversityUlmGermany
  2. 2.Department of General PsychologyUlm UniversityUlmGermany
  3. 3.Section of Medical PsychologyUlm UniversityUlmGermany

Personalised recommendations