Humorized Computational Intelligence towards User-Adapted Systems with a Sense of Humor

Dybała, Paweł; Ptaszyński, Michał; Rzepka, Rafał; Araki, Kenji

doi:10.1007/978-3-642-01129-0_51

Cited by 9 publications

(13 citation statements)

References 6 publications

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“…Humour bots such as those developed by Dybala et al [8] and Augello et al [9] recognise and mine jokes from the Web or from a lexical database such as WorldNet.…”

Section: Background In Computational Humourmentioning

confidence: 99%

“…based on antinomy, alliteration or adult slang) and then react accordingly by providing appropriate feedback. Dybala et al [8] developed talking agents that used humour during dialogues: their system selected a keyword from a user utterance and then outputted a short verbal humour statement. Moreover, Ptaszynski et al [10] furthered their system to integrate an emotion analysis engine.…”

Section: Background In Computational Humourmentioning

confidence: 99%

“…To further bring the two fields together, we present elements for a basic conceptual framework for games. We use agents or humour bots such as those developed by Dybala et al [8] and Augello et al [9] as a point of departure for the discussion.…”

Section: Towards a Computational Humour Framework For Gamesmentioning

confidence: 99%

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A Battle of Wit: Applying Computational Humour to Game Design

Dormann

2015

Entertainment Computing - ICEC 2015

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Abstract. There is still a dearth of humour in computer games. To spur the use of humour in games and overcome some of the difficulties in producing humour, we advance that game design can benefit from research in computational humour. The focus of this paper is thus on verbal humour and humour design. Integrating computational humour in games could facilitate humour scripting and solve one of the oldest problems in game humour related to repetition. A humour bot could enhance gamers' experiences, by stimulating social bonding or supporting comic relief. We believe that the use of computational humour for game design would enhance players' laughter and designers' creativity. Last, as game design can benefit from advances in computational humour, so virtual agents can from game research.

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“…Humour bots such as those developed by Dybala et al [8] and Augello et al [9] recognise and mine jokes from the Web or from a lexical database such as WorldNet.…”

Section: Background In Computational Humourmentioning

confidence: 99%

Section: Background In Computational Humourmentioning

confidence: 99%

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A Battle of Wit: Applying Computational Humour to Game Design

Dormann

2015

Entertainment Computing - ICEC 2015

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“…Individual differences are inevitable here, and their presence can be a trigger to construct more sophisticated, user-adapting systems. An idea of such system for humor-oriented chatterbots is described in one of our works [24].…”

Section: First Person Oriented Evaluationmentioning

confidence: 99%

“…In our research we focus on the role of humor in the conversation. Currently we are working on an emotive-analysis-based evolution of humor algorithm (its outline was presented in one of our earlier works [24]), which will allow the system to check user's reactions to particular jokes (using the ML-Ask system -see 6.3) and on this basis build his/her sense of humor model. For example, if the user reacts with positive emotions to jokes concerning politics, the system can assume that this type of joke matches his/her sense of humor.…”

Section: Individual Differencesmentioning

confidence: 99%

Evaluating Subjective Aspects of Hci on an Example of a Non-Task Oriented Conversational System

Dybała

Ptaszyński

Rzepka

et al. 2010

Int. J. Artif. Intell. Tools

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The evaluation of subjective aspects of HCI, such as human-likeness, likeability or users' emotions towards computers is still quite a neglected issue, especially in the field of non-task oriented conversational systems (chatterbots). In this paper we try to bridge this gap by proposing a new methodology of evaluation. The methods presented were tested in our research on humor-equipped chatterbots. We describe them in details, discuss their drawbacks and usability. In one of the presented methods we used an emotiveness analysis system, which itself can be considered an AI tool, as it was used to detect users' emotions towards conversational systems, and to perform their automatic evaluation. We also propose some methods that we have not used yet, which, however, * Corresponding author: paweldybala@media.eng.hokudai.ac.jp (Pawel Dybala) Pawel Dybala, Michal Ptaszynski, Rafal Rzepka, and Kenji Araki 2 seem applicable in this field, such as brain scanning techniques. Finally, we give some ideas that should be addressed in the future.

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