Task Model-Based Usability Evaluation for Smart Environments

Propp, Stefan; Buchholz, Gregor; Forbrig, Peter

doi:10.1007/978-3-540-85992-5_3

Cited by 9 publications

(6 citation statements)

References 9 publications

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“…Model-based evaluation: In this evaluation, cognitive and design models are used that combine design specification and evaluation together [25]. Some model-based methods use task-models or user-models for evaluation [10,71,91,97]. In task model-based usability evaluation technique, task models attached to evaluation provide a mean of user and system tasks.…”

Section: Usability Evaluation Methodsmentioning

confidence: 99%

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Incorporating Usability Evaluation in Software Development Environments

Humayoun

2012

Künstl Intell

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Section: Usability Evaluation Methodsmentioning

confidence: 99%

“…This tool creates the first prototype of the application and helps build the requirements properly as it analyzes the results when users interact with these prototypes. The approach has been further enhanced in [97] for usability evaluations of smart environments.…”

Section: Related Workmentioning

confidence: 99%

Incorporating Usability Evaluation in Software Development Environments

Humayoun

2012

Künstl Intell

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“…Several notations, like CTT (Concur Task Trees) [16], GOMS (Goals, Operators, Methods, and Selection Rules) [17], EOFM (Enhanced Operator Function Model) [18], and HAMSTER [19] have been proposed to specify the task models. Propp et al [20] plan usability evaluations that include test cases in which the users should perform all of the activities in the task model. There, user interactions are analyzed by evaluators who do not use automatic software support.…”

Section: Background and Work Of Othersmentioning

confidence: 99%

A Framework for Identifying Sequences of Interactions That Cause Usability Problems in Collaborative Systems

et al. 2021

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Collaborative systems support shared spaces, where groups of users exchange interactions. In order to ensure the usability of these systems, an intuitive interactions’ organization and that each user has awareness information to know the activity of others are necessary. Usability laboratories allow evaluators to verify these requirements. However, laboratory usability evaluations can be problematic for reproducing mobile and ubiquitous contexts, as they restrict the place and time in which the user interacts with the system. This paper presents a framework for building software support that it collects human–machine interactions in mobile and ubiquitous contexts and outputs an assessment of the system’s usability. This framework is constructed through learning that is based on neural networks, identifying sequences of interactions related to usability problems when users carry out collaborative activities. The paper includes a case study that puts the framework into action during the development process of a smartphone application that supports collaborative sport betting.

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“…Several modeling techniques can be integrated in the DoMAIns framework, each related to specific modeling aspects and or design phases. Among the most relevant efforts, we can distinguish approaches related to context modeling (Environment and User domains) [17,18], to user behavior learning and profiling (User domain), to usability evaluation [27], to the generation of "task-supportive" environments [28], etc. (see [6] for a quite complete review).…”

Section: Related Workmentioning

confidence: 99%

DoMAIns: Domain-based modeling for Ambient Intelligence

Bonino

Corno

2012

Pervasive and Mobile Computing

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Ambient Intelligence and Smart Home Automation systems are currently emerging as feasible and ready to exploit solutions to support more intelligent features inside future and current homes. Thanks to increased availability of off-the-shelf components and to relatively easy to implement solutions we are experiencing a steady evolution of households, causing an ever-increasing users' awareness of the capabilities of such innovative environments. To foster effective adoption of Smart Home Automation technologies in our home environments, traditional architectural and plant design must be complemented by sound design methodologies and tools, supporting the whole environment design cycle, including for example modeling, simulation and emulation, as well as, when feasible, formal modelchecking and verification. Several research efforts have already addressed the design of expressive modeling tools, mostly based on Semantic Web technologies, as well as of suitable platforms for adding interoperation and rulebased intelligence to home environments. This paper proposes a new modeling methodology designed to fit the different phases of Intelligent Environments design, with a particular focus on validation and verification of the whole system. Carefully designed separation of modeled entities permits to exploit the DoMAIns framework during all phases of the environment design, from early abstract conception to the final in-field deployment. The DoMAIns design methodology is applied to a sample use case that involves comprehensive modeling and simulation of a Bank Security Booth, including the environment, the control algorithms, the automation devices and the user. Results show that the approach is feasible and that can easily handle different types of environment modeling, required in the different design phases, and for each of them it may support simulation, emulation, or other verification techniques.

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Task Model-Based Usability Evaluation for Smart Environments

Cited by 9 publications

References 9 publications

Incorporating Usability Evaluation in Software Development Environments

Incorporating Usability Evaluation in Software Development Environments

A Framework for Identifying Sequences of Interactions That Cause Usability Problems in Collaborative Systems

DoMAIns: Domain-based modeling for Ambient Intelligence

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