Next Article in Journal
Effect of Sensory Feedback on Turn-Taking Using Paired Devices for Children with ASD
Next Article in Special Issue
Enhancing Trust in Autonomous Vehicles through Intelligent User Interfaces That Mimic Human Behavior
Previous Article in Journal
The Communicative Effectiveness of Education Videos: Towards an Empirically-Motivated Multimodal Account
Previous Article in Special Issue
The Impact of Multimodal Communication on a Shared Mental Model, Trust, and Commitment in Human–Intelligent Virtual Agent Teams
Article Menu

Export Article

Open AccessArticle
Multimodal Technologies Interact. 2018, 2(3), 60; https://doi.org/10.3390/mti2030060

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.
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)
Full-Text   |   PDF [248 KB, uploaded 17 September 2018]

Abstract

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
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Supplementary material

SciFeed

Share & Cite This Article

MDPI and ACS Style

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

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Multimodal Technologies Interact. EISSN 2414-4088 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top