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Automation of audio descriptions of large bar charts for persons with visual impairment – prototyping and proof of concept

Gunnarsson, Celie; Hammenberg, Julia; Rassmus-Gröhn, Kirsten LU and Bornemalm, Karolina (2018) In Technology and Disability p.53-62
Abstract
BACKGROUND: Current guidelines for accessing graphs non-visually are based on giving access to underlying tabular data and reading the values one by one. When data sets are large, it becomes impossible to get an overview.
OBJECTIVE: This work presents a proof-of-concept of automated audio description of data sets up to 100 data points that can be used by persons with visual impairment or persons who for other reasons are unable to use their visual attention for data access.
METHODS: A pilot study was conducted to elicit guidelines for oral chart descriptions, after which lo-fi and hi-fi prototypes were designed. Visually impaired and sighted users were involved throughout the process.
RESULTS: The pilot study pinpointed... (More)
BACKGROUND: Current guidelines for accessing graphs non-visually are based on giving access to underlying tabular data and reading the values one by one. When data sets are large, it becomes impossible to get an overview.
OBJECTIVE: This work presents a proof-of-concept of automated audio description of data sets up to 100 data points that can be used by persons with visual impairment or persons who for other reasons are unable to use their visual attention for data access.
METHODS: A pilot study was conducted to elicit guidelines for oral chart descriptions, after which lo-fi and hi-fi prototypes were designed. Visually impaired and sighted users were involved throughout the process.
RESULTS: The pilot study pinpointed important issues of oral chart descriptions and provided input for a lo-fi-prototype with three variants. The lo-fi-prototype singled out the most successful way of describing the charts based on which a hi-fi prototype for large data sets was created and tested.
CONCLUSIONS: The results of the hi-fi tests are promising. Participants listened 1-2 times to the descriptions and were able to discuss details in the data. Thus, the initial guidelines and the following design process provided the necessary information to create a successful proof-of-concept.
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Technology and Disability
pages
53 - 62
publisher
IOS Press
external identifiers
  • scopus:85053668668
ISSN
1055-4181
DOI
10.3233/TAD-170181
language
English
LU publication?
yes
id
94a60ce9-f8a0-45c7-af89-8f8ed0bc11df
date added to LUP
2018-03-02 12:54:04
date last changed
2019-02-20 11:09:03
@article{94a60ce9-f8a0-45c7-af89-8f8ed0bc11df,
  abstract     = {BACKGROUND: Current guidelines for accessing graphs non-visually are based on giving access to underlying tabular data and reading the values one by one. When data sets are large, it becomes impossible to get an overview.<br/>OBJECTIVE: This work presents a proof-of-concept of automated audio description of data sets up to 100 data points that can be used by persons with visual impairment or persons who for other reasons are unable to use their visual attention for data access.<br/>METHODS: A pilot study was conducted to elicit guidelines for oral chart descriptions, after which lo-fi and hi-fi prototypes were designed. Visually impaired and sighted users were involved throughout the process.<br/>RESULTS: The pilot study pinpointed important issues of oral chart descriptions and provided input for a lo-fi-prototype with three variants. The lo-fi-prototype singled out the most successful way of describing the charts based on which a hi-fi prototype for large data sets was created and tested.<br/>CONCLUSIONS: The results of the hi-fi tests are promising. Participants listened 1-2 times to the descriptions and were able to discuss details in the data. Thus, the initial guidelines and the following design process provided the necessary information to create a successful proof-of-concept.<br/>},
  author       = {Gunnarsson, Celie and Hammenberg, Julia and Rassmus-Gröhn, Kirsten and Bornemalm, Karolina},
  issn         = {1055-4181},
  language     = {eng},
  pages        = {53--62},
  publisher    = {IOS Press},
  series       = {Technology and Disability},
  title        = {Automation of audio descriptions of large bar charts for persons with visual impairment – prototyping and proof of concept},
  url          = {http://dx.doi.org/10.3233/TAD-170181},
  year         = {2018},
}