How to measure and to quantify usability attributes of man-machine interfaces

Rauterberg, Matthias

doi:10.1109/roman.1996.568839

Cited by 7 publications

(8 citation statements)

References 19 publications

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“…Vanderdonckt and Gillo [1994] proposed five visual techniques (physical composition, association and dissociation, ordering, and photographic techniques), which identified more visual design properties than traditional balance, symmetry, and alignment measures. Rauterberg [1996a] proposed and validated four measures (functional feedback, interactive directness, application flexibility, and dialog flexibility) to evaluate WIMP UIs. Quantitative measures have been incorporated into automated layout tools [Bodart et al 1994;Kim and Foley 1993] as well as several automated analysis tools [Mahajan and Shneiderman 1997;Parush et al 1998;Sears 1995], discussed immediately below.…”

Section: Automating Inspection Methods: Analysis Supportmentioning

confidence: 99%

The state of the art in automating usability evaluation of user interfaces

2001

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Usability evaluation is an increasingly important part of the user interface design process. However, usability evaluation can be expensive in terms of time and human resources, and automation is therefore a promising way to augment existing approaches. This article presents an extensive survey of usability evaluation methods, organized according to a new taxonomy that emphasizes the role of automation. The survey analyzes existing techniques, identifies which aspects of usability evaluation automation are likely to be of use in future research, and suggests new ways to expand existing approaches to better support usability evaluation.

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Section: Automating Inspection Methods: Analysis Supportmentioning

confidence: 99%

The state of the art in automating usability evaluation of user interfaces

2001

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“…Unlike the authors of [5], Rauterberg [6] developed his own technique of measuring and quantifying usability of man machine interfaces. He came up with various terms, stated how they related to each other, and used them as his basis for identifying if the user interface would be classified as good or bad.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The values chosen are an approximation of how much IQ a task would need for completion, and are listed in Table 8. The next step is calculating the HIQ using equation (6), with the addition of two more variables: Chm and Cmh. As described by [15], these two indexes define the complexity of transferring data from human to machine and from machine to human respectively.…”

Section: Calculating the Uiqmentioning

confidence: 99%

“…It is the interface that has received the most attention scientifically in terms of research due to its relevance to the mobile telephone market [5]. The other versions of scope have also received attention regarding developing metrics for quality measurement, although not as much as this version [6]. The measurement of quality requires the determination of many parameters which will be elaborated in the coming sections.…”

Section: Introductionmentioning

confidence: 99%

“…The measurement of quality requires the determination of many parameters which will be elaborated in the coming sections. The references cited in [5,6] indicate some of these important parameters.…”

Section: Introductionmentioning

confidence: 99%

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Assessment metrics for intelligence level of human-computer interface

Zarka

Özkul

2012

2012 International Conference on Computer Systems and Industrial Informatics

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The quality of human computer interfaces is becoming increasingly important as embedded computers and mobile computing are evolving into an essential part of our lives. Often what makes or breaks the market success of a device is not the hardware, but the quality and ease-of-use of the human computer interface. Just as it is possible to discuss the intelligence level of machines in terms of "machine intelligence quotient", it is becoming increasingly appropriate to discourse about the concept of "intelligence level of user interface". This new quotient would provide a quantitative assessment of user interface quality, and would be an indicator for rating the ease-of-use of the user interface of human-computer interfaces. In this study, a framework has been developed for the assessment of "user interface intelligence" and is used to determine the quality of different smartphone interfaces.

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