Reducing Cognitive Load and Improving Warfighter Problem Solving With Intelligent Virtual Assistants

Recent times have seen increasing interest in conversational assistants (e.g., Amazon Alexa) designed to help users in their daily tasks. In military settings, it is critical to design assistants that are, simultaneously, helpful and able to minimize the user's cognitive load. Here, we show tha...

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Published inFrontiers in psychology Vol. 11; p. 554706
Main Authors de Melo, Celso M., Kim, Kangsoo, Norouzi, Nahal, Bruder, Gerd, Welch, Gregory
Format Journal Article
LanguageEnglish
Published Frontiers Media S.A 17.11.2020
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Summary:Recent times have seen increasing interest in conversational assistants (e.g., Amazon Alexa) designed to help users in their daily tasks. In military settings, it is critical to design assistants that are, simultaneously, helpful and able to minimize the user's cognitive load. Here, we show that embodiment plays a key role in achieving that goal. We present an experiment where participants engaged in an augmented reality version of the relatively well-known desert survival task. Participants were paired with a voice assistant, an embodied assistant, or no assistant. The assistants made suggestions verbally throughout the task, whereas the embodied assistant further used gestures and emotion to communicate with the user. Our results indicate that both assistant conditions led to higher performance over the no assistant condition, but the embodied assistant achieved this with less cognitive burden on the decision maker than the voice assistant, which is a novel contribution. We discuss implications for the design of intelligent collaborative systems for the warfighter.
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Reviewed by: Ion Juvina, Wright State University, United States; Michail Maniadakis, Foundation for Research and Technology - Hellas (FORTH), Greece
This article was submitted to Cognitive Science, a section of the journal Frontiers in Psychology
Edited by: Varun Dutt, Indian Institute of Technology Mandi, India
ISSN:1664-1078
1664-1078
DOI:10.3389/fpsyg.2020.554706