We describe a series of algorithms which automatically control camera position in a virtual environment while a user is engaged in a simulated face-to-face dialog with a single virtual agent. The common objective of the algorithms is to increase user engagement with the interaction. In our work, we describe three different automated camera control systems that: (1) control the camera’s position based on topic changes in dialog; (2) use sentiment analysis to control the camera-to-agent distance; and (3) adjust the camera’s depth-of-field based on “important” segments of the dialog. Evaluation studies of each method are described. We find that changing camera position based on topic shifts results in significant increases in a self-reported measure of engagement, while the other methods seem to actually decrease user engagement. Interpretations and ramifications of the results are discussed.
CITATION STYLE
Ring, L., Utami, D., Olafsson, S., & Bickmore, T. (2016). Increasing engagement with virtual agents using automatic camera motion. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10011 LNAI, pp. 29–39). Springer Verlag. https://doi.org/10.1007/978-3-319-47665-0_3
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