Reference : Conversational Interfaces for Explainable AI: A Human-Centered Approach

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/39940

Title :	Conversational Interfaces for Explainable AI: A Human-Centered Approach
Language :	English
Author, co-author :	Jenzsch, Sophie [Deutsches Zentrum für Luft- und Raumfahrt - DLR]
	Höhn, Sviatlana [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Hochgeschwender, Nico [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > > ; Deutsches Zentrum für Luft- und Raumfahrt - DLR]
Publication date :	2019
Main document title :	Proceedings of EXTRAAMAS 2019
Pages :	1-14
Peer reviewed :	Yes
Audience :	International
Event name :	EXTRAAMAS
Event date :	2019-05-13 tot 2019-05-14
Event place (city) :	Montreal
Event country :	Canada
Keywords :	[en] Explainable AI ; Conversational Interfaces ; Autonomous Systems
Abstract :	[en] One major goal of Explainable Artificial Intelligence (XAI), in order to enhance trust in technology, is to enable the user to enquire information and explanation about its functionality directly from an intelligent agent. We propose conversational interfaces (CI) to be the perfect setting, since they are intuitive for humans and computationally processible. While there are many approaches addressing technical issues of this human-agent communication problem, the user perspective appears to be widely neglected. With the purpose of better requirement understanding and identification of implicit expectations from a human-centered view, a Wizard of Oz experiment was conducted, where participants tried to elicit basic information from a pretended artificial agent (What are your capabilities?). The hypothesis that users pursue fundamentally different strategies could be verified with the help of Conversation Analysis. Results illustrate the vast variety in human communication and disclose both requirements of users and obstacles in the implementation of protocols for interacting agents. Finally, we infer essential indications for the implementation of such a CI.
Permalink :	http://hdl.handle.net/10993/39940
Other URL :	https://extraamas.ehealth.hevs.ch/topics.html

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