Adaptive human-computer interfaces: a literature survey and perspective

Norcio, Anthony F.; Stanley, Jeff

doi:10.1109/21.31042

Cited by 156 publications

(72 citation statements)

References 27 publications

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“…It also supports Norcio &Stanley's (1989) andOppermann's (1994b) suggestion that individualized systems are of biggest importance for supporting a beginner in the learning phase and their importance fades when the user is able to apply the full range of options provided by the system.…”

mentioning

confidence: 68%

“…In our case, as in the majority of cases (Norcio & Stanley, 1989), the most important time-dependent factor is the user's experience, therefore the system must have a means for finding out and reacting to the changes in the user's level of experience. One can think of other factors that are time-dependent: for example, the information needs of tasks, or the task-model itself.…”

Section: Adaptationmentioning

confidence: 99%

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A task-centered approach for user modeling in a hypermedia office documentation system

Vassileva

1996

User Model User-Adap Inter

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The development of user-adaptive systems is of increasing importance for industrial applications. User modeling emerged from the need to represent in the system knowledge about the user in order to allow informed decisions on how to adapt to match the user's needs. Most of the research in this field, however, has been theoretical, "top-down." Our approach, in contrast, was driven by the needs of the application and shows features of bottom-up, user-centered design.We have implemented a user modeling component supporting a task-based interface to a hypermedia information system for hospitals and tested it under realistic conditions. A new architecture for user modeling has been developed which focuses on the tasks performed by users. It allows adaptive browsing support for users with different level of experience, and a level of adaptability. The requirements analysis shows that the differences in the information needs of users with different levels of experience are not only quantitative, but qualitative. Experienced users are not only able to cope with a wider browsing space, but sometimes prefer to organize their search in a different way. That is why the user model and the interface of the system are designed to support a smooth transition in the access options provided to novice users and to expert users. Keywords:adaptation, adaptive interfaces, hypermedia and hypertext navigation, intelligent information retrieval, office / hospital documentation systems, task-based context for information retrieval, task-structures. Modeling and User Adapted Interaction, vol. 6, Nos. 2-3, 1996 . 2 Published in User IntroductionBrowsing is a useful technique for retrieving documents from data-bases (Thompson & Croft, 1989).It has been widely applied recently as hypertext and hypermedia systems have become increasingly popular (Begoray, 1990). The main cognitive advantage of this technique is that users in general are better able to recognize the information they want than to characterize it in advance. The disadvantages of browsing are that it is easy to get lost in a complex network of nodes representing documents and concepts and that there is no guarantee that browsing will be as effective as a more conventional search. If it offers a rich set of links, the system is responsible for helping the users understand what the links mean, how they might be used, and how to find their way in the network. Without this kind of help, browsing can take on the aspect of the user finding her way in a maze, where she can become hopelessly "lost in (hyper)space" (Conklin, 1987). User modeling can help in supporting the user's navigation and information retrieval. A user model is an explicitly represented collection of data about the user which allows the system to adapt its options to the needs of the user. The intensive development in the field of user modeling during the last decade (Kobsa & Pohl, 1994a) makes it possible to consider it as a practical approach for ensuring user-adapted information access in a hypermedia in...

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mentioning

confidence: 68%

Section: Adaptationmentioning

confidence: 99%

A task-centered approach for user modeling in a hypermedia office documentation system

Vassileva

1996

User Model User-Adap Inter

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“…The problem is that, more attention is given to making the computer agents functional while neglecting the dynamic characteristics of the user. (Norcio and Stanley, 1989) note that if a system is to be maximally supportive, it must be able to assist the operator to achieve the intended goals. In this regard, the main goal of an adaptive HCI is to present an interface to the user that is easy, efficient and effective to use, while at the same time being flexible to response to unplanned system changes such as the user's workload variations, task failures and system level anomalies.…”

Section: The Caveatmentioning

confidence: 99%

A conceptual model for designing adaptive human–computer interfaces using the living systems theory

Letsu-Dake

Ntuen

2008

Syst. Res.

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This paper discusses the application of the living systems theory (LST) to humancomputer interface (HCI) design. It introduces LST as a paradigm for HCI design that can produce interfaces with self-learning and adaptive capabilities. From a biological system perspective, LST framework provides an emergence property to HCI, an attribute required to encourage self-organized behaviours during user interaction with computers. A sample interface in the domain of power systems information management is used to demonstrate the efficacy of LST as an adaptive HCI design tool. It is shown that the application of LST will not only provide a robust framework for designing HCI, but can also allow for real-time performance of the adaptive processes of the interface agents.

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“…8 Such an interface adapts to the user rather than the user adapting to the system. 9 Norcio suggests two ways that the system can be adaptive: 9 to leave the interface in a form that enables modification by the user (the interface may be modified by a computer specialist, a trained user or any user) dynamically changing interface that adapts by itself with respect to the particular user and current context. Models of the user, task, system and interaction form the basis of this latter type of system-initiated adaptation.…”

Section: Phcsg Annual Conference Papersmentioning

confidence: 99%

Clinical user interfaces that learn from experience

Gadzhanova¹,

Staněk²,

Warren³

2002

Journal of Innovation in Health Informatics

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Clinical data entry is one key to success in health information systems that is not a matter of technology alone, but of appropriateness and usability of design. We review the technology of adaptive user interfaces and learning agents. In these technologies we see the potential to improve the usability of general practice clinical workstations through machine-learnt adaptation to the user, the patient and the specific situation. Use of intelligent split menus that adapt based on past clinical encounters is one specific adaptive interface method that has shown potential by simulation. We are undertaking research in 'expert in the loop' use of data mining for iterative refinement of clinical workstation adaptation with an eye to significantly improving general practice data entry quality.

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Adaptive human-computer interfaces: a literature survey and perspective

Cited by 156 publications

References 27 publications

A task-centered approach for user modeling in a hypermedia office documentation system

A task-centered approach for user modeling in a hypermedia office documentation system

A conceptual model for designing adaptive human–computer interfaces using the living systems theory

Clinical user interfaces that learn from experience

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