Humor as an Ostensive Challenge that Displays Mind-Reading Ability

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Abstract

Understanding humor in human social interaction is a pre- requisite to the creation of engaging interactions between humans and digital assistants, embodied conversational agents and social robots. As these HCI methods become more prevalent and pervasive, more advanced conversational discourse abilities will be required. However, many models of dialogue and human communication used in computer science remain based upon out-dated understanding of the manner in which humans communicate with one another. This paper addresses these issues in- troducing a view of communication based on Relevance theory and the Analogical Peacock Hypothesis in which humor and humorous interac- tions are viewed as ostensive challenges inviting the receiver of a com- munication to engage in greater levels of cognitive processing and effort to resolve the challenge set by a humorous display. The increased effort is rewarded with positive socio-cognitive effects—a humorous payoff and knowledge of the mind-reading abilities of the humor producer.
Original languageEnglish
Title of host publicationDistributed, Ambient and Pervasive Interactions: 5th International Conference, DAPI 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9–14, 2017, Proceedings
EditorsNorbert Streitz, Panos Markopoulos
PublisherSpringer-Verlag
Pages627-639
Number of pages13
ISBN (Electronic)978-3-319-58697-7
ISBN (Print)9783319586960
DOIs
Publication statusPublished - 22 Jun 2017
Event5th International Conference on Distributed, Ambient and Pervasive Interactions - Vancouver, Canada
Duration: 09 Jul 201714 Jul 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10291 LNCS

Conference

Conference5th International Conference on Distributed, Ambient and Pervasive Interactions
Abbreviated titleDAPI 2017
CountryCanada
CityVancouver
Period09/07/201714/07/2017

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