Conference Proceeding

A Comprehensive Model of Usability.

01/2007; DOI:10.1007/978-3-540-92698-6_7 In proceeding of: Engineering Interactive Systems - EIS 2007 Joint Working Conferences, EHCI 2007, DSV-IS 2007, HCSE 2007, Salamanca, Spain, March 22-24, 2007. Selected Papers
Source: DBLP

ABSTRACT Usability is a key quality attribute of successful software systems. Unfortunately, there is no common understanding of the
factors influencing usability and their interrelations. Hence, the lack of a comprehensive basis for designing, analyzing,
and improving user interfaces. This paper proposes a 2-dimensional model of usability that associates system properties with
the activities carried out by the user. By separating activities and properties, sound quality criteria can be identified,
thus facilitating statements concerning their interdependencies. This model is based on a tested quality meta-model that fosters
preciseness and completeness. A case study demonstrates the manner by which such a model aids in revealing contradictions
and omissions in existing usability standards. Furthermore, the model serves as a central and structured knowledge base for
the entire quality assurance process, e.g. the automatic generation of guideline documents.

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    ABSTRACT: Often, software developers are notified of usability issues in their code through feedback from users and Human Computer Interface (HCI) experts. Yet, in many cases, the description of the issues cannot be correlated with the actual user interface (UI) program code. In this paper, we present a novel effort-based usability model in conjunction with a framework for identifying and locating (i.e., pinpointing) software usability issues and correlating the issues with UI software code. The model is based on the notion that usability is an inverse function of effort. Another innovative aspect of this framework is its focus on learning in the process of assessing usability measurements. Physical effort is obtained and inferred from logs of manual activity (e.g., keystrokes) and eye tracking. Experimental results from this study and other studies performed show high correlation to learning theory models and strongly support the relationship of effort to usability. The underlying theory and the findings of the experiments are used to propose a framework for user interface development where the interface designers are using effort-based metrics to pinpoint usability issues in the code.
    Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Istanbul, Turkey, 10-13 October 2010; 01/2010
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    ABSTRACT: The evaluation of interactive adaptive systems has long been acknowledged to be a complicated and demanding endeavour. Some promising approaches in the recent past have attempted tackling the problem of evaluating adaptivity by “decomposing” and evaluating it in a “piece-wise” manner. Separating the evaluation of different aspects can help to identify problems in the adaptation process. This paper presents a framework that can be used to guide the “layered” evaluation of adaptive systems, and a set of formative methods that have been tailored or specially developed for the evaluation of adaptivity. The proposed framework unifies previous approaches in the literature and has already been used, in various guises, in recent research work. The presented methods are related to the layers in the framework and the stages in the development lifecycle of interactive systems. The paper also discusses practical issues surrounding the employment of the above, and provides a brief overview of complementary and alternative approaches in the literature.
    User Modeling and User-Adapted Interaction 01/2010; 20:383-453. · 1.60 Impact Factor
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    ABSTRACT: Assessing and predicting the complex concept of software quality is still challenging in practice as well as research. Activity-based quality models break down this complex con- cept into more concrete denitions, more precisely facts about the system, process and environment and their impact on ac- tivities performed on and with the system. However, these models lack an operationalisation that allows to use them in assessment and prediction of quality. Bayesian Networks (BN) have been shown to be a viable means for assessment and prediction incorporating variables with uncertainty. This paper describes how activity-based quality models can be used to derive BN models for quality assessment and pre- diction. The proposed approach is demonstrated in a proof of concept using publicly available data.
    Proceedings of the 5th International Workshop on Predictive Models in Software Engineering, PROMISE 2009, Vancouver, BC, Canada, May 18-19, 2009; 01/2009

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