Abstract
Museums and Art exhibition spaces are adopting Artificial Intelligence (AI) systems to engage and attract visitors in several contexts. The use of AI can boost visitors’ attention, promote informal learning through conversations in front of the exhibits, and motivate visitors to act socially. In this paper, we describe a voice-based conversational system Iris+, in which visitors are inquired to answer questions to an agent. It is a proactive agent that invites visitors to reflect and take action to improve future world. First, we will describe how this system works. Second, we will show the outcomes of evaluation studies with visitors in situ and, a survey shows how visitors engaged in social action after interacting with IRIS+ and public demographics. Based on those visitors’ studies, we propose a set of challenges to design conversational systems in public spaces and the improvements were incorporated into the redesign of IRIS++.
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Candello, H., Barth, F., Carvalho, E., Cotia, R.A.G. (2020). Understanding How Visitors Interact with Voice-Based Conversational Systems. In: Marcus, A., Rosenzweig, E. (eds) Design, User Experience, and Usability. Design for Contemporary Interactive Environments. HCII 2020. Lecture Notes in Computer Science(), vol 12201. Springer, Cham. https://doi.org/10.1007/978-3-030-49760-6_3
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