This thesis investigates the use of static, adaptive, adaptable and mixed-initiative approaches to the personalisation of content and graphical user interfaces (GUIs). This empirical study consisted of three experimental phases. The first examined the use of static, adaptive, adaptable and mixed-initiative approaches to web content. More specifically, it measured the usability (efficiency, frequency of error occurrence, effectiveness and satisfaction) of an e-commerce website. The experiment was conducted with 60 subjects and was tested empirically by four independent groups (15 subjects each). The second experiment examined the use of adaptive, adaptable and mixed-initiative approaches to GUIs. More specifically, it measured the usability (efficiency, frequency of error occurrence, effectiveness and satisfaction) in GUI control structures (menus). In addition, it investigated empirically the effects of content size on five different personalised menu types. In order to carry out this comparative investigation, two independent experiments were conducted, on small menus (17 items) and large ones (29 items) respectively. The experiment was conducted with 60 subjects and was tested empirically by four independent groups (15 subjects each). The third experiment was conducted with 40 subjects and was tested empirically by four dependent groups (5 subjects each). The aim of the third experiment was to mitigate the drawbacks of the adaptive, adaptable and mixedinitiative approaches, to improve their performance and to increase their usability by using multimodal auditory solutions (speech, earcons and auditory icons). The results indicate that the size of content affects the usability of personalised approaches. In other words, as the size of content increases, so does the need of the adaptive and mixed-initiative approaches, whereas that of the adaptable approach decreases. A set of empirically derived guidelines were also produced to assist designers with the use of adaptive, adaptable and mixed-initiative approaches to web content and GUI control structure.

Due to the fastest growing senior population, age-related cognitive impairments, including Alzheimer's disease, are becoming among the most common diseases in the United States. Currently, prevention through delay is considered the best way to tackle Alzheimer's disease and related dementia, as there is no known cure for those diseases. Early detection is crucial, in that screening individuals with Mild Cognitive Impairment may delay its onset and progression. For my dissertation work, I investigate how computing technologies can help medical practitioners detect and monitor cognitive impairment due to dementia, and I develop a computerized sketch-based screening tool. In this dissertation, I present the design, implementation, and evaluation of the ClockMe System, a computerized Clock Drawing Test. The traditional Clock Drawing Test (CDT) is a rapid and reliable instrument for the early detection of cognitive dysfunction. Neurologists often notice missing or extra numbers in the clock drawings of people with cognitive impairments and use scoring criteria to make a diagnosis and treatment plan. The ClockMe System includes two different applications - (1) the ClockReader for the patients who take the Clock Drawing Test and (2) the ClockAnalyzer for clinicians who use the CDT results to make a diagnosis or to monitor patients. The contributions of this research are (1) the creation of a computerized screening tool to help clinicians identify cognitive impairment through a more accessible and quick-and-easy screening process; (2) the delivery of computer-collected novel behavioral data, which may offer new insights and a new understanding of a patient's cognition; (3) an in-depth understanding of different stakeholders and the identification of their common user needs and desires within a complicated healthcare workflow system; and (4) the triangulation of multiple data collection methods such as ethnographical observations, interviews, focus group meetings, and quantitative data from a user survey in a real-world deployment study.

"In order to make large applications that manage multi-attribute data usable, they must have an effective user interface. Application data and data relationships must be displayed in a manner that is useful for a particular user while still following principles of user interface design. A User Interface Management System (UIMS) is an application independent data presentation system which isolates the interface portion of the application and can allow a high level of customization. A presentation description language can be used to control the UIMS and allow maximum flexibility. This thesis investigates a UIMS controlled by a language that allows a user to easily describe the application data and data relationships at a high level of abstraction. The UIMS uses this language to structure application data and augment it with properties. A rule-based system then uses the augmented data along with graphical design knowledge to determine the content, layout and details of the interface used to display the data. Finally, a graphical interface is generated to present the data. A system to provide this functionality was designed and implemented. Experiences with the system showed this approach to be valid and provided ideas for future work. "

Networks have expanded from the workplace and scientific labs into the home. Consequently, managing networks is no longer only a job for skilled network administrators, but has also become one for general home users, who have to deal with various home network management tasks such as network/device configuration, security management, and troubleshooting to name but a few. However, many home network users have difficulty managing these tasks due to the inherent complexity of the home network and the lack of management tools designed for non-skilled network users. This dissertation addresses the problem of network management for non-skilled network users by investigating a home network management tool with a new interaction model called Eden. Eden is an interactive home network management tool based on direct manipulation. It eliminates the need for users to see all the technical minutia of the network while still allowing users to perform management tasks with a simple drag-and-drop of visually represented networking devices and network settings. The user interface evaluation showed that Eden is intuitive and easy enough for general home users to use. The usability evaluation showed that Eden performed better overall than existing tools and that the majority of the study participants preferred Eden over the existing tools for future use. My contributions are twofold. First, I present what is to my knowledge the first fully direct manipulation system designed specifically for home network management. Secondly, my evaluation highlights a number of properties in my design--particularly in my conceptual model--that improve users' understandings of the network, and their ease with managing it.

Thesis (MAppSc in Computer and Information Science)--University of South Australia, 1995

Thesis (M. App. Sc.)--Carleton University, 2005. / Includes bibliographical references (p. 181-186). Also available in electronic format on the Internet.

Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2005. / This thesis explores the design and implementation of an intelligent semantic machine control system with specific reference to human-machine interface design. The term "intelligent" refers to machines that can execute some level of decision taking in context. The term "semantic" refers to a structured language that allows user and machine to communicate. This study will explore all the key concepts about an intelligent semantic machine control system with human-machine interface. The key concepts to be investigated will include Artificial Intelligence, Intelligent Control, Semantics, Intelligent Machine Architecture, Human-Machine Interaction, Information systems and Graphical User Interface. The primary purpose of this study is to develop a methodology for designing a machine control system and its related human-machine interface.

Context. How end user development can be enabled and made attainable through the use of a web based graphical user interface, in systems that contains logic for handling BPMN flows as variation points. Investigated from a UX and usability perspective. Objectives. Designing prototypes of such a web-based interface, and then evaluating the usability with regards to the usability attributes effectiveness and learnability, with the goal finding relevant usability issues & solutions as well as investigating how the two usability attributes affected the participants’ subjective satisfaction. Methods. Two prototype versions were implemented, one based upon the other. A usability inspection (expert evaluation) was performed after the first prototype version (named alpha) was finished and the second version (named beta) was built based on that feedback. The usability of the prototypes were then evaluated in usability test sessions using the think aloud method together with the SUS (System Usability Scale) questionnaire.The recorded data from the usability test sessions was analysed. Usability issues & solutions were noted, filtered, tagged and grouped by design principle with the goal of looking for patterns. SUS scores were calculated from the questionnaires. Additional factor analysis was performed on the SUS data to get separate usability and learnability scores. Results. The results consisted of SUS scores for both prototypes together with learnability and usability scores. Common and noteworthy usability issues & solutions grouped by design principle. Detailed appendixes with scenarios exemplifying recorded video & voice data for four of the most relevant test participants. Conclusions. The two prototypes were compared. Improvements to effectiveness and learnability was found to have a positive impact on the participants’ subjective satisfaction in the described context. Additionally, a number of usability issues and solutions was identified that could be of value when developing similar software. In summary, the following findings were made related to effectiveness: Adding constraints to the number of options available to users helped increase effectiveness. The lack of keyboard shortcuts was a deal breaker for many users and had a negative impact on effectiveness.. Consistency in navigation was more important than expected. The lack of functionality for saving drafts in the browser, without downloading, was something that most users expected and was surprised not to find. Several users expected their drafts to be automatically saved. They were frustrated when their changes were lost without warning. The lack of an undo function was also a big issue for users, causing problems with recovery. Giving immediate feedback with a notification popup after users had deployed a flow worked well and was easier to implement than expected. The connection tool that ship with bpmn-js was hard to learn and use for several users. Additionally, some learnability related findings: Sandbox intended to boost learnability but caused problems with effectiveness. The BPMN notation was not familiar to the test participants. Some training or introduction would have been necessary in a real usage scenario. When important functionality was concealed in submenus it was harder for users to learn how to operate the editor, specifically a problem with the context pad. Properties panel. Issues with visibility of single items due to tabs being too cluttered. Affordance issues on input/output parameters tab. Consistency issue with the bpmn.io logo being placed in the where users expected a save button. Consistency. Negative impact on learnability due to lack of keyboard shortcuts. Users likely to learn faster if they could use the shortcuts they already know. Placement of the download button not consistent with other webapps. Unconventional to only have drag and drop for upload and no button. Issues with visibility and consistency related to maximizing/minimizing editor in beta prototype. Familiarity findings related to deploy button colour and label might have affected learnability.

Orientador: Wu, Shin-Ting / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação / Made available in DSpace on 2018-08-05T08:16:24Z (GMT). No. of bitstreams: 1 SiqueiraJunior_CelioFlores_M.pdf: 5026800 bytes, checksum: 599605f96479f58b6dd6525ebb76ae99 (MD5) Previous issue date: 2005 / Resumo: Nesta dissertação apresentamos um paradigma para apoio à elaboração de pré-despachos de um sistema elétrico, no qual os recursos gráficos desempenham um papel fundamental para prover uma representação mais legível, intuitiva e eficiente dos dados provenientes de simulações, além de mecanismos de interação para sua análise. Acreditamos que esta representação, como parte integrante de um sistema de suporte a decisões, não só diminuiria o trabalho mental dos operadores na interpretação dos dados envolvidos no planejamento do sistema elétrico, como também poderia fornecer novos subsídios para a solução dos problemas, melhorando a qualidade e confiabilidade das decisões tomadas. Para facilitar a correlação dos potenciais problemas e suas soluções, dados geo-referenciados são integrados ao longo do processo de modelagem dos dados, contextualizando os usuários geograficamente. Nossa proposta consiste basicamente em um modelo que mapeia um conjunto de dados elétricos e temporais, provenientes de simulação, em um conjunto de dados gráficos geo-referenciados, utilizando recursos gráficos de visualização para destacar as informações essenciais ao pré-despacho, além de recursos de interação para visualizar os impactos de alterações nas restrições do sistema. Visando validar a factibilidade de nossa proposta, desenvolvemos o protótipo batizado de VisciPower. A partir dos testes de usabilidade, o potencial do nosso modelo gráfico interativo para aplicações de engenharia na área de energia elétrica pôde ser confirmado / Abstract: In this dissertation we present a paradigm to support the elaboration of pre-dispatches for a power system, where the graphic resources play a fundamental role to provide a more legible, intuitive and efficient representation of the simulation data, besides interaction mechanisms for its analysis. We believe that this representation, as an integrating part of a decision support system, would not only reduce the operator's mental effort on the interpretation of the data involved in power system planning, but also give new insights for the solution of the problems, enhancing the quality and reliability of the decision-making process. To ease the correlation of the potential problems and its solutions, geospatial data are integrated during the data modeling process, contextualizing the users geographically. Our proposal consists basically of a model that maps the set of electrical and simulated data into a set of graphical geospatial data, using visualization graphic resources to highlight the essential information for the pre-dispatch, besides interaction resources to evaluate the impact of alterations on the system's restrictions. Aiming to validate the feasibility of our proposal, we developed a prototype named VisciPower. From the usability tests, the potential of our interactive graphic model for power engineering applications could be asserted. / Mestrado / Engenharia de Computação / Mestre em Engenharia Elétrica

This thesis discusses guidelines for developers of Augmented User Interfaces that can be used by illiterate and semi-literate users. To discover how illiterate and semi-literate users intuitively understand interaction with a computer, a series of Wizard of Oz experiments were conducted. In the first Wizard of Oz study, users were presented with a standard desktop computer, fitted with a number of input devices to determine how they assume interaction should occur. This study found that the users preferred the use of speech and gestures which mirrored findings from other researchers. The study also found that users struggled to understand the tab metaphor which is used frequently in applications. From these findings, a localised culturally-relevant tab interface was developed to determine the feasibility of localised Graphical User Interface components. A second study was undertaken to compare the localised tab interface with the traditional tabbed interface. This study collected both quantitative and qualitative data from the participants. It found that users could interact with a localised tabbed interface faster and more accurately than with the traditional counterparts. More importantly, users stated that they intuitively understood the localised interface component, whereas they did not understand the traditional tab metaphor. These user studies have shown that the use of self-explanatory animations, video feedback, localised tabbed interface metaphors and voice output have a positive impact on enabling illiterate and semi-literate users to access information. / TeX / Adobe Acrobat 9.51 Paper Capture Plug-in