Advertisement

Development of Peripheral Feedback to Support Lectures

  • Janienke Sturm
  • Rahat Iqbal
  • Jacques Terken
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3869)

Abstract

In this paper we describe a service that provides peripheral feedback on participation level of the audience in lectures and seminars to presenters. The peripheral display makes the lecturer aware of the attention level as well as the interest level of their students. We hypothesise that providing this kind of feedback can help lecturers or presenters to adjust their behaviour to the cognitive demands of the audience. In this paper we report on the results obtained from a focus group and two surveys that were carried out. Following that we describe the development of peripheral displays focusing on the design considerations and process of the teacher support service. We describe the service by addressing its technological components and visualisations. Finally we briefly discuss the issues to be considered for the evaluation of such an unobtrusive service.

Keywords

Focus Group Cognitive Load Participation Level Attention Level Electronic Note 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Weiser, M., Seely Brown, J.: The Coming Age of Calm Technology. In: Denning, P.J., Metcalfe, R.M. (eds.) Beyond Calculation - The Next Fifty Years of Computing. Copernicus/An Imprint. Springer, Heidelberg (1996)Google Scholar
  2. 2.
    Brotherton, J., Abowd, G.: Lessons learned from eClass: Assessing automated capture and access in the classroom. ACM Transactions on Computer-Human Interaction (TOCHI) 11(2), 121–155 (2004)CrossRefGoogle Scholar
  3. 3.
    Beecher, J.: Note-taking: What do we know about the benefits? ERIC Clearinghouse on Reading, English and Communication Digest #37(EDO-CS-88-12) (1988)Google Scholar
  4. 4.
    Chiu, P., Kapuskar, A., Reitmeier, S., Wilcox, L.: NoteLook: Taking notes in meetings with digital video and ink. In: Proceedings of ACM Multimedia, pp. 149–158 (1999)Google Scholar
  5. 5.
    Stifelman, L., Arons, B., Schmandt, C.: The Audio Notebook: paper and pen interaction with structured speech. In: Proceedings of the SIGCHI conference on Human factors in Computing Systems: CHI 2001, pp. 182–189 (2001)Google Scholar
  6. 6.
    Whittaker, S., Hyland, P., Wiley, M.: Filochat: Handwritten notes provide access to recorded conversations. In: Proceedings of Human Factors in Computing Systems: CHI 1994, pp. 271–277 (1994)Google Scholar
  7. 7.
    Wilcox, L., Schilit, B., Sawhney, N.: Dynomite: A dynamically organized ink and audio notebook. In: Proceedings of Human Factors in Computing Systems: CHI 1997, pp. 186–193 (1997)Google Scholar
  8. 8.
    Campbell, A., Pargas, R.: Laptops in the classroom. In: Proceedings of the 34th SIGCSE Technical Symposium on Computer Science Education, Reno, NV, pp. 98–102 (2003)Google Scholar
  9. 9.
    Terken, J. (ed.): Report on observation studies with requirements for CHIL services. Deliverable 7.1 of the CHIL project, Technische Universiteit Eindhoven (2004)Google Scholar
  10. 10.
    Sung, M., Gips, J., Eagle, N., Madan, A., Caneel, R., DeVaul, R., Bonsen, J., Pentland, S.: MIT.EDU: M-learning applications for classroom settings. Journal of Computer Assisted Learning(JCAL) (2004)Google Scholar
  11. 11.
    Mota, S., Picard, R.: Automated posture analysis for detecting learner’s interest level. In: Proceedings of the IEEE Workshop on Computer Vision and Pattern Recognition for Human Computer Interaction(CVPRHCI) (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Janienke Sturm
    • 1
  • Rahat Iqbal
    • 1
  • Jacques Terken
    • 1
  1. 1.Department of Industrial DesignEindhoven University of TechnologyEindhovenThe Netherlands

Personalised recommendations