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  1. Proceedings of the Workshop on Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction (MA3HMI '16)
  2. Analysis of gesture frequency and amplitude as a function of personality in virtual agents
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Analysis of gesture frequency and amplitude as a function of personality in virtual agents
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Analysis of gesture frequency and amplitude as a function of personality in virtual agents

Content Provider ACM Digital Library
Author Novick, David Gonzalez, Timothy Rayon, Alex
Abstract Embodied conversational agents are changing the way humans interact with technology. In order to develop humanlike ECAs they need to be able to perform natural gestures that are used in day-to-day conversation. Gestures can give insight into an ECAs personality trait of extraversion, but what factors into it is still being explored. Our study focuses on two aspects of gesture: amplitude and frequency. Our goal is to find out whether agents should use specific gestures more frequently than others depending on the personality type they have been designed with. We also look to quantify gesture amplitude and compare it to a previous study on the perception of an agent's naturalness of its gestures. Our results showed some indication that introverts and extraverts judge the agent's naturalness similarly. The larger the amplitude our agent used, the more natural its gestures were perceived. The frequency of gestures between extraverts and introverts seem to contain hardly any difference, even in terms of types of gesture used.
Starting Page 3
Ending Page 9
Page Count 7
File Format PDF
ISBN 9781450345620
DOI 10.1145/3011263.3011266
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-11-12
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Amplitude Gesture Extravert Frequency Personality Introvert Embodied conversational agents
Content Type Text
Resource Type Article
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