A case study of experimental evaluation of adaptive interfaces

Letsu-Dake, Emmanuel; Ntuen, Celestine A.

doi:10.1016/j.ergon.2009.10.002

Cited by 19 publications

(10 citation statements)

References 21 publications

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“…The study presented in (Letsu-Dake & Ntuen, 2009) shows clearly that the adaptive interfaces are better in terms of time to achieve the goal under fault conditions, fault detection time, number of system failures and fault detection rate.…”

Section: Introductionmentioning

confidence: 93%

A New Algorithm for Self-Adapting Web Interfaces

Vintila

Palaghita

Dascălu

2010

Proceedings of the 6th International Conference on Web Information Systems and Technology

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The paper proposes a new improved algorithm for creating hierarchies of features and options for selfadapting web interfaces against the common one used by many applications. The user interface concept is presented. Types of user interfaces are described. Quality characteristics of the user interfaces are analyzed. Ways of fulfilling these quality characteristics while keeping the costs low are discussed. Advantages and disadvantages of self-adapting and static web interfaces are given. The most common algorithm for creating hierarchies of features and options is described and analyzed. The advantages and disadvantages of the proposed algorithm are discussed. New directions for the development of the self-adapting web interfaces are highlighted.

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Section: Introductionmentioning

confidence: 93%

A New Algorithm for Self-Adapting Web Interfaces

Vintila

Palaghita

Dascălu

2010

Proceedings of the 6th International Conference on Web Information Systems and Technology

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“…Most GUI studies (Carvalho et al, 2008;Han et al, 2007;Letsu-Dake and Ntuen, 2010) conducted an usability evaluation The controllability of the hierarchy type GUI was significantly preferred 1.6 times compared to that of the context type GUI, while the attractiveness, simplicity, and responsiveness of the context type GUI were significantly preferred 1.8, 1.3, and 1.3 times, respectively, to those of the hierarchy type GUI. The superiority of the hierarchy type GUI in terms of controllability to the context type GUI can be attributable to that the hierarchy type GUI enables an overall information flow recognition, systematic learning, and convenient screen change by a hierarchy menu.…”

Section: Discussionmentioning

confidence: 99%

Usability Evaluation of Graphic User Interfaces for a Military Computer-Based Training System

Kim¹,

Lee²,

Lee³

et al. 2015

Journal of the Ergonomics Society of Korea

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Objectiv e:The present study was to improve the graphic user interface (GUI) of a military computer-based training (CBT) system in terms of usability.Background: Existing studies have focused on usability evaluation of a particular GUI type such as sequence, hierarchy, or context type; however, few research has been conducted which identifies preferred GUI features based on a comparative analysis of different GUI types. Method:A comparative evaluation was conducted by 9 CBT design experts using a 7-point scale (1: very low, 4: neutral, and 7: very high) on hierarchy and context GUI types of a military CBT system in terms of 10 usability criteria. Then, preferred features of the hierarchy and context types being accommodated, a new GUI was developed and validated by 22 CBT users.Results: While the hierarchy type was found preferred by 1.6 times in terms of controllability to the context type, the opposite was found in terms of attractiveness, simplicity, and responsiveness by 0.6, 0.8, and 0.8 times, respectively. The proposed GUI was found superior to the hierarchy and context types in terms of accessibility and informativeness by more than 1.5 times, but inferior to the hierarchy and context type in terms of simplicity by 0.6 and 0.9 times, respectively. Conclusion:The new GUI developed by accommodating the preferred features of the hierarchy and context types improves usability in terms of accessibility and informativeness except simplicity. Application:The comparative analysis of various GUIs can be applied to develop an improved GUI in a systematic manner based on preferred features of the existing GUIs.

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“…Reasoning. The AHCI must be decision centric which is able to advise the user when to take over control of the system and when to supervise control tasks [4]. Adaptive context reasoning is to provide new and relevant information which is derived from context data sources to be used by the given application or the user [13,14].…”

Section: Adaptive Interface Knowledgementioning

confidence: 99%

“…But as the tasks allocated to the computer increase, the heavy cognitive load and defective contextawareness caused inevitable errors and tedious work during operation process. Adaptive interface is useful to support the operators in complex dynamic task controls [4]. AHCI (adaptive human-computer interface) is an interface which is supposed to adapt its interaction contents, information processing modes, and behavior patterns automatically to meet changing task requirements and user characteristics at any time considering operator abilities, workload variations, and skill levels [5].…”

Section: Introduction To Ahci Of Pt Operation Platform Based On Contementioning

confidence: 99%

“…The current situation is that the HCI of PT is limited by mobility, computing ability, input/output modes, and some other factors; although it can support the task execution, it still lacks user friendliness and autonomy. To address these challenging HCI demands, it is possible to understand the requests of states and users well enough to adapt the interface components, content, structure, and form, in terms of the dynamic changed situation, as well as to provide the operator with the necessary data and information [4,6]. Therefore, studying new humancomputer interaction modes and designing AHCI based on PT's characteristics become a new important subject which would be capable of detecting and responding to changing contexts of the user and the task in the PT operation platform.…”

Section: Introduction To Ahci Of Pt Operation Platform Based On Contementioning

confidence: 99%

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A Conceptual Architecture for Adaptive Human-Computer Interface of a PT Operation Platform Based on Context-Awareness

Qin

Han

et al. 2014

Discrete Dynamics in Nature and Society

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We present a conceptual architecture for adaptive human-computer interface of a PT operation platform based on context-awareness. This architecture will form the basis of design for such an interface. This paper describes components, key technologies, and working principles of the architecture. The critical contents covered context information modeling, processing, relationship establishing between contexts and interface design knowledge by use of adaptive knowledge reasoning, and visualization implementing of adaptive interface with the aid of interface tools technology.

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A case study of experimental evaluation of adaptive interfaces

Cited by 19 publications

References 21 publications

A New Algorithm for Self-Adapting Web Interfaces

A New Algorithm for Self-Adapting Web Interfaces

Usability Evaluation of Graphic User Interfaces for a Military Computer-Based Training System

A Conceptual Architecture for Adaptive Human-Computer Interface of a PT Operation Platform Based on Context-Awareness

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