Alle Publikationen
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2018
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(2018): Towards a framework for computational persuasion with applications in behaviour change1. In: Argument & Computation 9 (1), S. 15-40. DOI: 10.3233/AAC-170032
DOI: https://doi.org/10.3233/AAC-170032 Abstract: Persuasion is an activity that involves one party trying to induce another party to believe something or to do something. It is an important and multifaceted human facility. Obviously, sales and marketing is heavily dependent on persuasion. But many other activities involve persuasion such as a doctor persuading a patient to drink less alcohol, a road safety expert persuading drivers to not text while driving, or an online safety expert persuading users of social media sites to not reveal too much personal information online. As computing becomes involved in every sphere of life, so too is persuasion a target for applying computer-based solutions. An automated persuasion system (APS) is a system that can engage in a dialogue with a user (the persuadee) in order to persuade the persuadee to do (or not do) some action or to believe (or not believe) something. To do this, an APS aims to use convincing arguments in order to persuade the persuadee. Computational persuasion is the study of formal models of dialogues involving arguments and counterarguments, of user models, and strategies, for APSs. A promising application area for computational persuasion is in behaviour change. Within healthcare organizations, government agencies, and non-governmental agencies, there is much interest in changing behaviour of particular groups of people away from actions that are harmful to themselves and/or to others around them.
Keywords: Argumentation, argumentation strategies, Argumentationsstrategie, Argumentationstheorie, automated persuasion system (APS), Automated Persuasion Systems (APS), computational models of argument, Computational persuasion, Computerbasierte Persuasion, dialogical argumentation, doppelter Treffer, Eliminierung von Fehlverhalten, Fehlverhalten, frame semantics, Gesellschaftsprofit, Gruppenverhalten / Joint Action, Intellektualtechnik, Kognitionstheorie, Kognitionswissenschaft/Social Sciences/Humanities, Mensch-Technik-Relationen (MTR), Observablen/Kriterien für sozial angemessenes Verhalten und dessen Bewertung, Persuasion, persuasion dialogues, persuasive arguments, Politik, probabilistic argumentation, Realtechnik, Soziale Angemessenheit, Sozialer Raum / Kultureller Kontext, Sprachroboter, Sprachverarbeitung, Technik, Überreden, Überzeugung, Umgangsformen, Verführung -
(2018): Argumentation mining. How can a machine acquire common sense and world knowledge?. In: Argument & Computation 9 (1), S. 1-14. DOI: 10.3233/AAC-170025Keywords: Allgemeiner Sinn, Ambiguität, Argumentation, argumentation mining, Argumentationssuche, Argumentationstheorie, argumentative text processing, Common Sense, Deep Learning, fortgeschrittene interaktive Geräte, frame semantics, Kognitionswissenschaft/Social Sciences/Humanities, Lebenswissen, Linguistik, Mensch-Technik-Relationen (MTR), Natural language understanding, Neural Networks, Realtechnik, representation learning, Sprachverarbeitung, Sprachverstehen, Technik, unsupervised, Voraussetzungen für sozial angemessenes Verhalten, Weltwissen, world knowledge
2017
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(2017): Competition and conflict between communicative norms. In: Journal of Argumentation in Context 6 (2), S. 220-246. DOI: 10.1075/jaic.6.2.05hop
Abstract: When engaging with each other, discussants navigate a complex set of communicative norms that aim at very different goals. Within argumentation theory naturally the most studied set of norms are those aiming at reasonableness, of which I take the pragma-dialectical rule set to be a representative example. They are however far from the only norms that guide communicative behavior. This paper offers an analysis of the areas of intersection and potential conflict of reasonableness (as understood by pragma-dialectics) with other communicative norms in general and rules of politeness (as presented by Geoffrey Leech) in particular.
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