TY - GEN
T1 - Understanding Pattern Recognition Through Sound with Considerations for Developing Accessible Technologies
AU - Darmawaskita, Nicole
AU - McDaniel, Troy
N1 - Funding Information:
Acknowledgments. The authors would like to thank the National Science Foundation and Arizona State University for their funding support. This material is partially based upon work supported by the NSF under Grant No. 1828010.
Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - This work explores whether audio feedback style and user ability influences user techniques, performance, and preference in the interpretation of node graph data among sighted individuals and those who are blind or visually impaired. This study utilized a posttest-only basic randomized design comparing two treatments, in which participants listened to short audio clips describing a sequence of transitions occurring in a node graph. The results found that participants tend to use certain techniques and have corresponding preferences based on their ability. A correlation was also found between equivalently high feedback design performance and lack of overall feedback design preference. These results imply that universal technologies should consider avoiding utilizing design constraints that allow for only one optimal usage technique, especially if that technique is dependent on a user’s ability.
AB - This work explores whether audio feedback style and user ability influences user techniques, performance, and preference in the interpretation of node graph data among sighted individuals and those who are blind or visually impaired. This study utilized a posttest-only basic randomized design comparing two treatments, in which participants listened to short audio clips describing a sequence of transitions occurring in a node graph. The results found that participants tend to use certain techniques and have corresponding preferences based on their ability. A correlation was also found between equivalently high feedback design performance and lack of overall feedback design preference. These results imply that universal technologies should consider avoiding utilizing design constraints that allow for only one optimal usage technique, especially if that technique is dependent on a user’s ability.
KW - Accessible education
KW - Assistive technology
KW - Sonification
UR - http://www.scopus.com/inward/record.url?scp=85092200041&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85092200041&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-60149-2_17
DO - 10.1007/978-3-030-60149-2_17
M3 - Conference contribution
AN - SCOPUS:85092200041
SN - 9783030601485
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 208
EP - 219
BT - HCI International 2020 – Late Breaking Papers
A2 - Stephanidis, Constantine
A2 - Antona, Margherita
A2 - Gao, Qin
A2 - Zhou, Jia
PB - Springer Science and Business Media Deutschland GmbH
T2 - 22nd International Conference on Human Computer Interaction, HCII 2020
Y2 - 19 July 2020 through 24 July 2020
ER -