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Clustering approach to characterize haptic expressions of emotions

Published: 01 October 2013 Publication History

Abstract

Several studies have investigated the relevance of haptics to physically convey various types of emotion. However, they use basic analysis approaches to identify the relevant features for an effective communication of emotion. This article presents an advanced analysis approach, based on the clustering technique, that enables the extraction of the general features of affective haptic expressions as well as the identification of specific features in order to discriminate between close emotions that are difficult to differentiate. This approach was tested in the context of affective communication through a virtual handshake. It uses a haptic device, which enables the expression of 3D movements. The results of this research were compared to those of the standard Analysis of Variance method in order to highlight the advantages and limitations of each approach.

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    Published In

    cover image ACM Transactions on Applied Perception
    ACM Transactions on Applied Perception  Volume 10, Issue 4
    October 2013
    190 pages
    ISSN:1544-3558
    EISSN:1544-3965
    DOI:10.1145/2536764
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 01 October 2013
    Accepted: 01 May 2013
    Revised: 01 February 2013
    Received: 01 November 2012
    Published in TAP Volume 10, Issue 4

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    1. Emotion
    2. haptic

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    • (2017)Emotion Rendering in Plantar Vibro-Tactile Simulations of Imagined Walking StylesIEEE Transactions on Affective Computing10.1109/TAFFC.2016.25525158:3(340-354)Online publication date: 1-Jul-2017
    • (2017)Approach and Dominance as Social Signals for Affective InterfacesSocial Signal Processing10.1017/9781316676202.021(287-303)Online publication date: 13-Jul-2017
    • (2015)Haptic Human-Robot Affective Interaction in a Handshaking Social ProtocolProceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction10.1145/2696454.2696485(263-270)Online publication date: 2-Mar-2015
    • (2013)How to Collect Haptic Expressions of Spontaneous Emotions? Methodological ConsiderationsProceedings of the 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction10.1109/ACII.2013.144(776-779)Online publication date: 2-Sep-2013

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