Abstract
This paper addresses the problem of evaluating embodied conversational agents in terms of their communicative performance. We show our attempt to evaluate humans’ implicit attitudes towards different kinds of information presenting by embodied conversational agents using the Implicit Association Test (IAT) rather than gathering explicit data using interviewing methods. We conducted an experiment in which we use the method of indirect measurements with the IAT. The conventional procedure and scoring algorithm of the IAT were used in order to discover possible issues and solutions for future experiments. We discuss key differences between the conventional usage of the IAT and using the IAT in our experiment for evaluating embodied conversational agents using unfamiliar information as test data.
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Kiselev, A., Abdikeev, N., Nishida, T. (2011). Evaluating Humans’ Implicit Attitudes towards an Embodied Conversational Agent. In: Liu, D., Zhang, H., Polycarpou, M., Alippi, C., He, H. (eds) Advances in Neural Networks – ISNN 2011. ISNN 2011. Lecture Notes in Computer Science, vol 6675. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21105-8_1
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DOI: https://doi.org/10.1007/978-3-642-21105-8_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21104-1
Online ISBN: 978-3-642-21105-8
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