Keywords
human system interaction audio design speech earcon auditory icon spatial guideline
Abstract
The current research is directed at providing validated guidelines to direct the integration of audio into human-system interfaces. This work first discusses the utility of integrating audio to support multimodal human-information processing. Next, an auditory interactive computing paradigm utilizing Speech, Earcons, Auditory icons, and Spatial audio (SEAS) cues is proposed and guidelines for the integration of SEAS cues into multimodal systems are presented. Finally, the results of two studies are presented that evaluate the utility of using SEAS cues, developed following the proposed guidelines, in relieving perceptual and attention processing bottlenecks when conducting Unmanned Air Vehicle (UAV) control tasks. The results demonstrate that SEAS cues significantly enhance human performance on UAV control tasks, particularly response accuracy and reaction time on a secondary monitoring task. The results suggest that SEAS cues may be effective in overcoming perceptual and attentional bottlenecks, with the advantages being most revealing during high workload conditions. The theories and principles provided in this paper should be of interest to audio system designers and anyone involved in the design of multimodal human-computer systems.
Notes
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Graduation Date
2005
Semester
Fall
Advisor
Stanney, Kay
Degree
Master of Science (M.S.)
College
College of Engineering and Computer Science
Department
Industrial Engineering and Management Systems
Degree Program
Industrial Engineering and Management Systems
Format
application/pdf
Identifier
CFE0000810
URL
http://purl.fcla.edu/fcla/etd/CFE0000810
Language
English
Release Date
January 2006
Length of Campus-only Access
None
Access Status
Masters Thesis (Open Access)
STARS Citation
Jones, David, "The Integration Of Audio Into Multimodal Interfaces: Guidelines And Applications Of Integrating Speech, Earcons, Auditory Icons, and Spatial Audio (SEAS)" (2005). Electronic Theses and Dissertations. 577.
https://stars.library.ucf.edu/etd/577