An open affective platform

Thompson, Nik; Koziniec, Terry; McGill, Tanya

doi:10.1109/nesea.2012.6474007

Cited by 2 publications

(2 citation statements)

References 27 publications

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“…Examples of hardware platforms that may meet the functional requirements of the Affective Platform component described in this model include the commercial platforms developed by ProComp and BioPac [28] and the open affective platform developed by Thompson, Koziniec and McGill [29]. This component may be used to potentially detect any indicators of affect and is not limited to physical measurements such as physiological signals.…”

Section: Affective Platformmentioning

confidence: 99%

Affective Stack — A Model for Affective Computing Application Development

Thompson

McGill²

2015

JSW

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Affective computing applications hold promise to revolutionize human-computer interaction by enabling more natural and intuitive interaction modalities. These may include the communication of vocal expressions, physiological signals or other non-verbal indicators of underlying affective state. Although the field has experienced substantial expansion in recent years, the tools and techniques utilized are not yet mature or well established. A notable issue is the one-off nature of currently implemented affective computing systems. There is as yet no notion of standardized program architecture and there is no straightforward way to extend the functionality of existing software to include affective components. This paper introduces a new model which describes the affective computing application in terms of a set of loosely coupled functional components. This model encourages a uniform and replicable approach to affective application development in which functional components can be improved independently and subsequently re-used. The model also incorporates existing third party software as a functional component highlighting the potential to build upon existing, well established, software packages. It is hoped that this model and discussion spurs further, focused development in this growing field.

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Section: Affective Platformmentioning

confidence: 99%

Affective Stack — A Model for Affective Computing Application Development

Thompson

McGill²

2015

JSW

Self Cite

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“…Information is presented via a number of modalities including text, graphics, diagrams and animation which are all based on the Morgan Genetics Tutorial (Sofer & Gribbin, 2010). Affect detection is inferred from physiological signals of electrodermal activity and frequency domain analysis of heart rate patterns -further details of this physiological platform is published elsewhere (Thompson, Koziniec, & McGill, 2012). This information about the learner's affective state is then used to guide the behaviors of the on-screen animated agent, 'Becky'.…”

Section: Affective Tutoring Systemsmentioning

confidence: 99%

The Application of Affective Computing Technology to E-Learning

Thompson

McGill

2014

Pedagogical Considerations and Opportunities for Teaching and Learning on the Web

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means, electronic or mechanical, including photocopying, without written permission from the publisher. Product or company names used in this set are for identification purposes only. Inclusion of the names of the products or companies does not indicate a claim of ownership by IGI Global of the trademark or registered trademark. Library of Congress Cataloging-in-Publication DataBritish Cataloguing in Publication Data A Cataloguing in Publication record for this book is available from the British Library.All work contributed to this book is new, previously-unpublished material. The views expressed in this book are those of the authors, but not necessarily of the publisher.For electronic access to this publication, please contact: eresources@igi-global.com.Pedagogical considerations and opportunities for teaching and learning on the web / Michael Thomas, editor.pages cm Includes bibliographical references and index. Summary: "This book concentrates on theory, application, and the development of web-based technologies for teaching and learning and its influence on the education system"--Provided by publisher. ISBN 978-1-4666-4611-7 (hardcover) --ISBN 978-1-4666-4612-4 (ebook) --ISBN 978-1-4666-4613-1 (print & perpetual access) 1. Web-based instruction. I. Thomas, Michael, 1969-

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An open affective platform

Cited by 2 publications

References 27 publications

Affective Stack — A Model for Affective Computing Application Development

Affective Stack — A Model for Affective Computing Application Development

The Application of Affective Computing Technology to E-Learning

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