This paper focuses on the attributed nature of the voice-based agents Alexa and Google Assistant in conversational contexts. Using Piaget’s equilibration theory, enhanced by Hubbard’s concept of personhood the paper considers how people categorize voice-based agents along a thing–person spectrum and whether this categorization reflects assimilation or accommodation of these technologies. The results of two studies (a hypothetical conversation with the agent via an online-survey, N = 1288, and a real conversation with the agent, N = 105) are indicating a modified classification towards personified things, which is reinforced by younger age and a higher quality of interaction. Implications, limitations, and further research regarding a more detailed classification of conversational agents are discussed.
CITATION STYLE
Etzrodt, K. (2021). The Ontological Classification of Conversational Agents: An Adaptation of Piaget’s Equilibration Theory. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12604 LNCS, pp. 48–63). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-68288-0_4
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