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Open AccessArticle

Perceptions on Authenticity in Chat Bots

Department of Management, Communication & IT, MCI Management Center Innsbruck, Innsbruck 6020, Austria
Author to whom correspondence should be addressed.
Multimodal Technologies Interact. 2018, 2(3), 60;
Received: 19 June 2018 / Revised: 6 September 2018 / Accepted: 12 September 2018 / Published: 17 September 2018
(This article belongs to the Special Issue Intelligent Virtual Agents)
In 1950, Alan Turing proposed his concept of universal machines, emphasizing their abilities to learn, think, and behave in a human-like manner. Today, the existence of intelligent agents imitating human characteristics is more relevant than ever. They have expanded to numerous aspects of daily life. Yet, while they are often seen as work simplifiers, their interactions usually lack social competence. In particular, they miss what one may call authenticity. In the study presented in this paper, we explore how characteristics of social intelligence may enhance future agent implementations. Interviews and an open question survey with experts from different fields have led to a shared understanding of what it would take to make intelligent virtual agents, in particular messaging agents (i.e., chat bots), more authentic. Results suggest that showcasing a transparent purpose, learning from experience, anthropomorphizing, human-like conversational behavior, and coherence, are guiding characteristics for agent authenticity and should consequently allow for and support a better coexistence of artificial intelligence technology with its respective users. View Full-Text
Keywords: intelligent agents; chat bots; interview study; human-agent interaction; authenticity; social intelligence intelligent agents; chat bots; interview study; human-agent interaction; authenticity; social intelligence
MDPI and ACS Style

Neururer, M.; Schlögl, S.; Brinkschulte, L.; Groth, A. Perceptions on Authenticity in Chat Bots. Multimodal Technologies Interact. 2018, 2, 60.

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