Abstract
Information graphics, such as bar charts and line graphs, that appear in popular media generally have a message that they are intended to convey. We have developed a novel plan inference system that uses evidence in the form of communicative signals from the graphic to recognize the graphic designer’s intended message. We contend that plan inference research would benefit from examining how each of its evidence sources impacts the system’s success. This paper presents such an evidence analysis for the communicative signals that are captured in our plan inference system, and the paper shows how the results of this evidence analysis are informing our research on plan recognition and application systems.
This material is based upon work supported by the National Science Foundation under Grant No. IIS-0534948.
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Carberry, S., Elzer, S. (2007). Exploiting Evidence Analysis in Plan Recognition. In: Conati, C., McCoy, K., Paliouras, G. (eds) User Modeling 2007. UM 2007. Lecture Notes in Computer Science(), vol 4511. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73078-1_4
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DOI: https://doi.org/10.1007/978-3-540-73078-1_4
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