An embodied conversational agent was developed implementing four strategies to adapt to the user: User tracking and recognition with a camera, remembering interests in topics, remembering preferences concerning the level of detail of information, and changes in confirmation strategy. The agent was integrated into a system providing public information on ICT related projects of research and development for visitors of the laboratories. In an interactive experiment, the adaptive version was compared to a non-adaptive version. The logging data, but not the questionnaire data, shows significant differences, indicating a benefit of the adaptive version in terms of efficiency in interaction. The logging data and results from a final interview are discussed in relation to other work on this subject, concluding on the difficulties to provide not only more efficient interaction, but also higher User Experience.
Bibliographic reference. Weiss, Benjamin / Willkomm, Simon / Möller, Sebastian (2013): "Evaluating an adaptive dialog system for the public", In INTERSPEECH-2013, 2034-2038.