| Published Version Download ( PDF | 3MB) |
AudienceAR - Utilising Augmented Reality and Emotion Tracking to Address Fear of Speech
Hartl, Philip, Fischer, Thomas, Hilzenthaler, Andreas, Kocur, Martin and Schmidt, Thomas (2019) AudienceAR - Utilising Augmented Reality and Emotion Tracking to Address Fear of Speech. In: Alt, Florian and Bulling, Andreas and Döring, Tanja, (eds.) MuC'19: Proceedings of Mensch und Computer 2019. Association for Computing Machinery, New York, NY, USA, pp. 913-916. ISBN 9781450371988.Date of publication of this fulltext: 07 Aug 2020 05:02
Book section
Abstract
With Augmented Reality (AR) we can enhance the reality by computer-generated information about real entities projected in the user's field of view. Hence, the user's perception of a real environment is altered by adding (or subtracting) information by means of digital augmentations. In this demo paper we present an application where we utilise AR technology to show visual information about the ...
With Augmented Reality (AR) we can enhance the reality by computer-generated information about real entities projected in the user's field of view. Hence, the user's perception of a real environment is altered by adding (or subtracting) information by means of digital augmentations. In this demo paper we present an application where we utilise AR technology to show visual information about the audience's mood in a scenario where the user is giving a presentation. In everyday life we have to talk to and in front of people as a fundamental aspect of human communication. However, this situation poses a major challenge for many people and may even go so far as to lead to fear and and avoidance behaviour. Based on findings in previous work about fear of speech, a major cause of anxiety is that we do not know how the audience judges us. To eliminate this feeling of uncertainty, we created an AR solution to support the speaker while giving a speech by tracking the audience's current mood and displaying this information in real time to the speaker's view: AudienceAR. By doing so we hypothesise to reduce the speaker's tension before and during presentation. Furthermore, we implemented a small web interface to analyse the presentation based on the audience mood after the speech is given. Effects will be tested in future work.
Alternative links to fulltext
Involved Institutions
Details
| Item type | Book section | ||||
| ISBN | 9781450371988 | ||||
| Title of Book: | MuC'19: Proceedings of Mensch und Computer 2019 | ||||
|---|---|---|---|---|---|
| Publisher: | Association for Computing Machinery | ||||
| Place of Publication: | New York, NY, USA | ||||
| Page Range: | pp. 913-916 | ||||
| Date | 2019 | ||||
| Institutions | Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Medieninformatik (Prof. Dr. Christian Wolff) Informatics and Data Science > Department Human-Centered Computing > Lehrstuhl für Medieninformatik (Prof. Dr. Christian Wolff) | ||||
| Identification Number |
| ||||
| Keywords | affective computing, augmented reality, emotion, facial, recognition, hololens | ||||
| Dewey Decimal Classification | 000 Computer science, information & general works > 004 Computer science 100 Philosophy & psychology > 150 Psychology | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Yes | ||||
| URN of the UB Regensburg | urn:nbn:de:bvb:355-epub-435816 | ||||
| Item ID | 43581 |
Download Statistics
Download Statistics