Marco Aurisicchio

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This paper presents a novel argumentation framework to support Issue-Based Information System style debates on design alternatives, by providing an automatic quantitative evaluation of the positions put forward. It also identifies several formal properties of the proposed quantitative argumentation framework and compares it with existing non-numerical(More)
The representation of decision problems is an extremely challenging task, especially when these problems are wicked, namely they rely on incomplete or conflicting knowledge, they involve several stakeholders with conflicting views and they are closely linked with other decision problems (Churchman 1967). Instances of wicked decision problems occur(More)
Understanding product functions is a key aspect of the work undertaken by engineers involved in complex system design. The support offered to these engineers by existing modelling tools such as the Function Tree and the Function Structure is limited as they are not intuitive and do not scale well to deal with real world engineering problems. A research(More)
The need of making decisions pervades every field of human activity. Several decision support methods and software tools are available in the literature, relying upon different modelling assumptions and often producing different results. In this paper we investigate the relationships between two such approaches: the recently introduced QuAD frameworks,(More)
Faculty of Engineering, Imperial College London, London, United Kingdom m.aurisicchio@imperial.ac.uk Abstract: Design reviews are common educational practice in design disciplines, where students meet with instructors and other stakeholders to discuss the progress of a project they are engaged in. Such reviews are tightly coupled with project-based(More)
In this paper we introduce two tools and describe a process to design for distinct positive emotions. The tools offer detailed knowledge of three emotions: anticipation, confidence, and inspiration. Eighteen product and interaction designers participated in a design workshop in which they applied the proposed tools and process. Participants evaluated the(More)
This paper proposes an evidence-based process and engineering design tool for linking human error identification taxonomies, and human error prevention and mitigation design principles with the system engineering design process. The process synthesizes the design evidence generated and used during the design and analysis process to clearly demonstrate that(More)