An empirical study on the effects of embodied conversational agents on user retention performance and perception in a simulated mobile environment

Doumanis, Ioannis and Smith, Serengul (2013) An empirical study on the effects of embodied conversational agents on user retention performance and perception in a simulated mobile environment. In: Workshop proceedings of the 9th international conference on intelligent environments. Botía, Juan A. and Charitos, Dimitris, eds. Ambient Intelligence and Smart Environments (17). IOS Press, pp. 431-442. 9781614992851. (doi:10.3233/978-1-61499-286-8-431)

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Abstract

The paper presents a user study designed to examine the impact of the presence of a multimodal ECA on the user’s ability to retain content of cultural value with variable degree of difficulty (i.e., technical and simple content). The study was conducted in the lab, using a high resolution panorama representing four locations in an archaeological attraction. The content participants perceived differed both in terms of complexity and length. Participants interacted with an ECA-based system and then with a non-ECA system that provided content about popular locations in the attraction. Results indicate that participants who used the system with the ECA retained content of variable difficulty more consistently, than those who used the system without the ECA. However, we also found that if text is added as an additional output modality to an ECA-based information system it can positively impact the perception of the technical content, which can potentially lead to enhanced retention of technical content.

Item Type: Book Section
Additional Information: This article was presented at The 9th International Conference on Intelligent Environments, Athens, Greece, July 16-17, 2013.
Keywords (uncontrolled): Embodied conversational agents; human-centered computing; mobile tour guides; information systems
Editors: Botía, Juan A. and Charitos, Dimitris
Research Areas: A. > School of Science and Technology > Computer Science
A. > School of Science and Technology > Computer Science > Artificial Intelligence group
A. > School of Science and Technology > Computer Science > Intelligent Environments group
Item ID: 10785
Useful Links:
Depositing User: Serengul Smith
Date Deposited: 17 Jun 2013 08:24
Last Modified: 02 Jun 2019 10:29
ISBN: 9781614992851
URI: https://eprints.mdx.ac.uk/id/eprint/10785

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