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Audemes at work: Investigating features of non-speech sounds to maximize content recognition
Indiana University, USA.ORCID-id: 0000-0001-8635-4069
Indiana University, USA.
Indiana University, USA.
Indiana University, USA.
2012 (engelsk)Inngår i: International journal of human-computer studies, ISSN 1071-5819, E-ISSN 1095-9300, Vol. 70, nr 12, s. 936-966Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

To access interactive systems, blind users can leverage their auditory senses by using non-speech sounds. The structure of existing non-speech sounds, however, is geared toward conveying atomic operations at the user interface (e.g., opening a file) rather than evoking broader, theme-based content typical of educational material (e.g., an historical event). To address this problem, we investigate audemes, a new category of non-speech sounds whose semiotic structure and flexibility open new horizons for the aural interaction with content-rich applications. Three experiments with blind participants examined the attributes of an audeme that most facilitate the accurate recognition of their meaning. A sequential concatenation of different sound types (music, sound effect) yielded the highest meaning recognition, whereas an overlapping arrangement of sounds of the same type (music, music) yielded the lowest meaning recognition. We discuss seven guidelines to design well-formed audemes.

sted, utgiver, år, opplag, sider
2012. Vol. 70, nr 12, s. 936-966
Emneord [en]
Audeme, Acoustic, Blind, Visually impaired, Non-speech sound, Recognition
HSV kategori
Forskningsprogram
Data- och informationsvetenskap
Identifikatorer
URN: urn:nbn:se:lnu:diva-68170DOI: 10.1016/j.ijhcs.2012.09.003OAI: oai:DiVA.org:lnu-68170DiVA, id: diva2:1146468
Tilgjengelig fra: 2017-10-03 Laget: 2017-10-03 Sist oppdatert: 2018-10-04bibliografisk kontrollert

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