Adaptive user interfaces in complex supervisory tasks

Smart environment is a key challenge for current ICT research: it is one of the solutions that can enhance people's quality of life and enable users with impairment to live independently. Over the years, scientific research has proposed several solutions to help and improve the capabilities of its occupants, but they are often developed for a specific context (e.g. particular disease or impairment). These systems do not adapt to the real needs of users with different profiles, and neglect that the user's requirements may evolve over time. This research work aims to develop a new adaptive smart system able to support users (with and without disabilities) in performing daily tasks by recognizing their preferences and actions and adapting the system feedback consequently. With the aim to develop an easy, efficient and usable adaptive smart system, the final users have been involved in the whole design and development process. The system was validated through a virtual reality system allowing the user interaction evaluation and helping the usability improvement. Keywords Smart environment • Adaptive and adaptable user interface • Virtual reality system • Bayesian network • ICT • User-centered design B Francesca Gullà

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“…In order to test the interface a data set (time, number of mouse clicks etc.) for each interface has been collected [27].…”

Section: Research Backgroundmentioning

confidence: 99%

Prototyping adaptive systems in smart environments using virtual reality

Gullà

Menghi

Papetti

et al. 2018

Int J Interact Des Manuf

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“…In this domain, an older publication that only considered user characteristics is Yen & Acay (2009). Their system changed the user interface to an air traffic control task based on detected user errors, completion time, and number of user actions, complemented by mutations introduced by a genetic algorithm.…”

Section: Industrial Interfacesmentioning

confidence: 99%

Computer detection of spatial visualization in a location-based task

Batinov

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An untapped area of productivity gains hinges on automatic detection of user cognitive characteristics. One such characteristic, spatial visualization ability, relates to users' computer performance. In this dissertation, we describe a novel, behavior-based, spatial visualization detection technique. The technique does not depend on sensors or knowledge of the environment and can be adopted on generic computers. In a Census Bureau location-based address verification task, detection rates exceeded 80% and approached 90%.

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“…AHCI visualization of the PT is the working process that interface rendering engine is triggered by adaptive decisions to present the visualization mapping results using the interface elements extracted from interface elements base. The visualization procedure includes data transformation, view transformation, content adaptation, dialog adaptation, task allocation, and decision support as well as the transformation between interfaces [3].…”

Section: The Working Mode Of Adaptive Interface Visualizationmentioning

confidence: 99%

“…But the HCI (human-computer interface) for military combat vehicles now lacks adaptability, and its intelligent implementation mechanisms cannot be suitable for all kinds of special transportation vehicles. As humans and computers generally undertake their respective part in intelligent transportation vehicle, human is in charge of the supervision of the overall task at the higher level [3]. 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.…”

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

confidence: 99%

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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Adaptive user interfaces in complex supervisory tasks

Cited by 15 publications

References 49 publications

Prototyping adaptive systems in smart environments using virtual reality

Prototyping adaptive systems in smart environments using virtual reality

Computer detection of spatial visualization in a location-based task

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

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