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Conversational Artificial Intelligence (CAI) has revolutionized human communication by enabling social and problem-solving conversations using natural language processing and generation technologies. However, while CAI-powered discussion platforms like D-...

A number of initiatives invite members of the public to perform online classification tasks such as identifying objects in images. These tasks are crucial to numerous large-scale Citizen Science projects in different disciplines, with volunteers using ...

Groups often face difficulty reaching consensus. For complex decisions with multiple criteria, verbal and written discourse alone may impede groups from pinpointing and moving past fundamental disagreements. To help support consensus building, we ...

Groups often face difficulty reaching consensus. For complex decisions with multiple latent criteria, discourse alone may impede groups from pinpointing fundamental disagreements. To help support a consensus building process, we introduce ConsensUs, a ...

Consensus is a desired but elusive goal in many distributed discussions. A critical problem is that discussion platforms lack mechanisms for realizing consensus strategies and realizing these strategies without tool support can be hard. This paper ...

Consensus building is a process in which individuals collectively make a choice from the alternatives and contribute their best to make a common decision. During the discussion, there will appear a case that after a certain utterance, individuals will ...

This paper examines consensus building in AHP-group decision making from a Bayesian perspective. In accordance with the multicriteria procedural rationality paradigm, the methodology employed in this study permits the automatic identification, in a ...

Clarifying characteristics of appropriate argumentative discourse is important for developing computer assisted argumentation systems. We describe the analysis of argumentative discourse structure on the basis of Rhetorical Structure Theory in order to ...

In this study, we pursue fundamental ideas of granular computing by concentrating on further conceptual developments of metastructures which are inherently associated with computing involving a large number of distributed datasets. We show that such ...

This paper presents novel methods for supportfor browsing a long meeting record towards supporting publicinvolvement. Facilitating public involvement in the consensusbuilding process for community development needs a lot of effortand time for sharing ...

This article reports work on first steps toward characterizing a negotiation process model for ad hoc and distributed groups or teams, so that automation can more accurately track the states of a negotiation from human discourse. We devised three ...

The process of consolidating usability problems (UPs) is an integral part of usability evaluation involving multiple users/analysts. However, little is known about the mechanism of this process and its effects on evaluation outcomes, which presumably ...

Distributed computing technology allows software engineering teams to work across different locations and times, collaboratively refining documents or diagrams ultimately producing a single agreed outcome. A natural part of this process is the emergence ...

Formative evaluation is a collection of "find-and-fix" usability engineering methods, focused on identifying usability problems before a product is completed. In this forum, four experienced usability professionals will address different aspects of ...

Field Methods are a collection of tools and techniques for conducting studies of users, their tasks, and their work environments in the actual context of those environments. The promise of such methods is that they help teams design products that are ...