Abstract. Collaborative Computer-Supported Argument Visualization (CCSAV) is a technical methodology that offers support for online collective deliberation over complex dilemmas. As compared with more traditional conversational technologies, like wikis and forums, CCSAV is designed to promote more critical thinking and evidence-based reasoning, by using representations that highlight conceptual relationships between contributions, and through computational analytics that assess the structural integrity of the network. However, to date, CCSAV tools have achieved adoption primarily in small-scale educational contexts, and only to a limited degree in real world applications. We hypothesise that by reifying conversations as logical maps to address the shortcomings of chronological streams, CCSAV tools underestimate the importance of participation and interaction in enhancing collaborative knowledge-building. We argue, therefore, that CCSAV platforms should be socially augmented in order to improve their mediation capability. Drawing on Clark and Brennan's influential Common Ground theory, we designed a Debate Dashboard, which augmented a CCSAV tool with a set of widgets that deliver meta-information about participants and the interaction process. An empirical study simulating a moderately sized collective deliberation scenario provides evidence that this experimental version outperformed the control version on a range of indicators, including usability, mutual understanding, quality of perceived collaboration, and accuracy of individual decisions. No evidence was found that the addition of the Debate Dashboard impeded the quality of the argumentation or the richness of content.
Keywords:Computer-supported argument visualization, Grounding process, Common Ground, Debate Dashboard, Collective deliberation, Visual feedback
Supporting collective deliberation through socially-augmented knowledge mapping toolsComputer-supported argument visualization (CSAV) platforms assist their users in identifying, structuring, and settling issues using argument maps (Buckingham Shum, 2003). An argument map is a visual representation of the informal logical structure of an argument (Walton, 2008). Depending on the representational scheme, it displays the constituent elements of the argument (such as issues, claims, premises, and evidence) as a tree or network, with nodes in the network expressing the elements, and arrows expressing key relationships, such as evidential support and challenge (van Gelder, 2007) or the underlying argumentation scheme, such as argument by analogy, or argument by authority (Reed and Rowe, 2004;Walton, et al., 2008;Buckingham Shum and Okada, 2008).A wide range of representational schemes has been devised within different research communities (e.g. law; design; philosophy). Computational argumentation research has developed more formal logic and mathematical models with an interest in reasoning over the model in order to evaluate claims or prove properties automatically (e.g. Rahwan and Simari, 2009). However...