Prediction of Audience Response from Spoken Sequences, Speech Pauses and Co-speech Gestures in Humorous Discourse by Barack Obama

4 Citations (Scopus)

Abstract

In this paper, we aim to predict audience response
from simple spoken sequences, speech pauses and co-speech
gestures in annotated video- and audio-recorded speeches by
Barack Obama at the Annual White House Correspondents’
Association Dinner in 2011 and 2016. At these dinners, the
American president mocks himself, his collaborators, political
adversary and the press corps making the audience react with
cheers, laughter and/or applause. The results of the prediction experiment
demonstrate that information about spoken sequences,
pauses and co-speech gestures by Obama can be used to predict
the immediate audience response. This confirms and shows an
application of numerous studies that address the importance of
speech pauses and gestures in delivering the discourse message
in a successful way. The fact that machine learning algorithms
can use information about pauses and gestures to build models
of audience reaction is also relevant for the construction of
intelligent and cognitively based multimodal ICT.
Original languageEnglish
Title of host publication8th IEEE International Conference on Cognitive Infocommunications CogInfoCom 2017 Proceedings
Number of pages5
PublisherIEEE
Publication date2 Jul 2017
Pages327-331
ISBN (Print)ISBN 978-1-5386-1264-4
Publication statusPublished - 2 Jul 2017
EventInternational Conference on Cognitive Infocommunications: http://www.coginfocom.hu/conference/CogInfoCom17/general.html - University of Debrecen, Separtment of Informatics, Debrecen, Hungary
Duration: 11 Sept 201714 Sept 2017
Conference number: 8

Conference

ConferenceInternational Conference on Cognitive Infocommunications
Number8
LocationUniversity of Debrecen, Separtment of Informatics
Country/TerritoryHungary
CityDebrecen
Period11/09/201714/09/2017

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