In order to successfully give a lecture or do a presentation in a conference, presenters need certain skills as well as previous preparation. In such scenarios, reflective learning offers a great potential to improve professional skills and presenter's performance by relying on data captured during the presentation. For this purpose, we developed the Live Interest Meter (LIM App) which allows capturing, aggregating and visualizing live feedback from the audience. After developing the first prototype, testing it and conducting a user study, we developed the second prototype presented in this paper. This further development made emphasis on the recalling and revisiting of past experiences by exploring the collected data. We conducted the evaluation of the LIM App with three university lectures. Our evaluation showed positive results regarding the capturing and sharing of feedback to improve presentation skills. Whilst the LIM App guided the lecturers to reflect and to remember their presentations better, some time and advice to get accustomed to using it is still needed so that it is optimally integrated in their presentations. © 2013 Springer-Verlag.
CITATION STYLE
Rivera-Pelayo, V., Lacić, E., Zacharias, V., & Studer, R. (2013). LIM App: Reflecting on audience feedback for improving presentation skills. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8095 LNCS, pp. 514–519). https://doi.org/10.1007/978-3-642-40814-4_48
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