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Integrating requirements acquisition and user modelling: Things users want, and things users do
Published in Don Harris, Engineering Psychology and Cognitive Ergonomics, 2017
User modelling involves developing a precise description of a prototypical user, as a basis for analysing how such a user is likely to work with a device. Although currently not widely used in design practice, user modelling can complement other approaches to improving usability such as user testing and discount usability evaluation methods (Nielsen & Mack, 1994). Firstly, because it has a theoretical basis, the usability analyst can draw on that theory to develop a deeper understanding of particular usability problems and of how a design might be modified to overcome them. Secondly, appropriate use of theoiy-based techniques can reduce the need for» and cost of – extensive usability trials with each design prototype. This is particularly important in design contexts where users are specialists with limited time to participate in usability trials. Thirdly, theory-based techniques can support scenario-based design (Carroll, 1995) and introduce user concerns into the design process before it is possible to construct a realistic prototype system that can be tested with users, by which point many design commitments have already be made. This concern is particularly pertinent to the design of high reliability systems, where the initial investment in rigorous formal specification makes the cost of later design changes very high.
Intelligent User-Interfaces for Expert Systems: Requirements & Implications
Published in Don Potter, Manton Matthews, Moonis Ali, Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 2020
The development of a user model is a difficult task which requires information about the specific users and the responses to their reaction with the system. User modelling can help matching the facilities that a system provides to the needs of the user; improve user learning; guide design decisions and make design choices and assumptions explicit. A user model is required by the ES to help to: identify what needs to be explained, determine the depth and complexity of the explanation, and establish the knowledge necessary to assist the user in achieving his goals and understanding the solution.
Bibliometric Analysis of Affective Computing Researches during 1999~2018
Published in International Journal of Human–Computer Interaction, 2020
Fu Guo, Fengxiang Li, Wei Lv, Li Liu, Vincent G. Duffy
With regard to affective user modeling, an intelligent tutoring system contributing to improved pedagogy is one of its practical applications. For example, physiological data were used to predict a student’s level of self-efficacy influenced by the affective state, and pedagogical decisions could be informed by automatically constructing models of self-efficacy (Mcquiggan, Mott, & Lester, 2008). At the same time, it was demonstrated that the feasibility of determining valence out of the physiological signals, for example, ECG data can provide a basis for a transdisciplinary dialog of how cognitive science can productively communicate with the fields of affective computing and natural emotion (Agrafioti, Hatzinakos, & Anderson, 2011).