An experiment into the use of auditory cues to reduce visual workload
CHI '89 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Partitioning digital worlds: focal and peripheral awareness in multiple monitor use
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Presenting Dynamic Information on Mobile Computers
Personal and Ubiquitous Computing
Overcoming the Lack of Screen Space on Mobile Computers
Personal and Ubiquitous Computing
Data sonification from the desktop: Should sound be part of standard data analysis software?
ACM Transactions on Applied Perception (TAP)
ACM Transactions on Accessible Computing (TACCESS)
SmartDCap: semi-automatic capture of higher quality document images from a smartphone
Proceedings of the 2013 international conference on Intelligent user interfaces
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Auditory graphs—displays that represent quantitative information with sound—have the potential to make data (and therefore science) more accessible for diverse user populations. No research to date, however, has systematically addressed the attributes of data that contribute to the complexity (the ease or difficulty of comprehension) of auditory graphs. A pair of studies examined the role of data density (i.e., the number of discrete data points presented per second) and the number of trend reversals for both point-estimation and trend-identification tasks with auditory graphs. For the point-estimation task, more trend reversals led to performance decrements. For the trend-identification task, a large main effect was again observed for trend reversals, but an interaction suggested that the effect of the number of trend reversals was different across lower data densities (i.e., as density increased from 1 to 2 data points per second). Results are discussed in terms of data sonification applications and rhythmic theories of auditory pattern perception.