Acoustic interaction design through "audemes"

Ferati, Mexhid; Mannheimer, Steve; Bolchini, Davide

doi:10.1145/1621995.1622001

Cited by 8 publications

(9 citation statements)

References 6 publications

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“…This is probably due to the fact that the first two sections of the customization interface are more technical and less intuitive for non-expert users. The overall evaluation of the Customization Tool was ~4.42 (scale [1][2][3][4][5]) with a standard deviation of ~0.54.…”

Section: Evaluation Resultsmentioning

confidence: 99%

“…The users' familiarity with the Web Interfaces was, in a range [1][2][3][4][5], on average ~4.4 with a minimum of 2, a maximum of 5 and a standard deviation of ~1.07. The users' familiarity with the vocal interfaces was, in a range [1][2][3][4][5], on average ~2.7 with a minimum of 1, a maximum of 4 and a standard deviation of ~1.42.…”

Section: Evaluation Settingmentioning

confidence: 99%

“…The users' familiarity with the vocal interfaces was, in a range [1][2][3][4][5], on average ~2.7 with a minimum of 1, a maximum of 4 and a standard deviation of ~1.42.…”

Section: Evaluation Settingmentioning

confidence: 99%

“…when driving) or when they are visually-impaired. While solutions exist for supporting blind people in specific domains [5], the general assistive technology for blind people (mainly screen readers) have a number of usability limitations because they usually access the page implementation and require keyboard selection of the elements of interest, with little ability to filter content; only type filtering is currently available (e.g. listing links, headers, or other types).…”

Section: Introductionmentioning

confidence: 99%

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Model-based customizable adaptation of web applications for vocal browsing

Paternò

Sisti

2011

Proceedings of the 29th ACM International Conference on Design of Communication

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In this paper we describe a solution to make Web pages more suitable for vocal browsing by analyzing and modifying their logical structure. The solution exploits intermediate logical descriptions that are automatically created by reverse engineering techniques. The adaptation engine aims to identify the main logical structure of the Web page components and remove the aspects specific to the graphical modality. Then, a vocal implementation is generated to support browsing, which begins by the user's selecting from the main components. It is possible to customize some parameters of the adaptation transformation in order to better control its results.

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Section: Evaluation Resultsmentioning

confidence: 99%

Section: Evaluation Settingmentioning

confidence: 99%

“…The users' familiarity with the vocal interfaces was, in a range [1][2][3][4][5], on average ~2.7 with a minimum of 1, a maximum of 4 and a standard deviation of ~1.42.…”

Section: Evaluation Settingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Model-based customizable adaptation of web applications for vocal browsing

Paternò

Sisti

2011

Proceedings of the 29th ACM International Conference on Design of Communication

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“…In our previous paper [6] we described the design of AEDIN and introduced its features and functionalities. This current paper is a follow-up to that work, presenting results of the usability evaluations conducted on AEDIN (v.1 and v.2), and explaining key design improvements made to AEDIN.…”

Section: Touchscreen Inputmentioning

confidence: 99%