Presenting Dynamic Information on Mobile Computers

Brewster, Stephen; Murray, Robin

doi:10.1007/pl00000010

Cited by 17 publications

(10 citation statements)

References 5 publications

(4 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Brewster and Murray [10] investigated the application of sound to enhance the usability of mobile personal digital assistant (PDA) devices. Participants were required to maximize profit by trading shares using either a simple auditory display or a line graph to monitor price changes.…”

Section: Decreasing Subjective Workloadmentioning

confidence: 99%

Issues in Auditory Display

Eldridge

2006

Artificial Life

View full text Add to dashboard Cite

Auditory displays have been successfully deployed to assist data visualization in many areas, but have as yet received little attention in the field of artificial life. This article presents an overview of existing design approaches to auditory display and highlights some of the key issues that are of practical relevance to the use of auditory displays in artificial life research. Examples from recent experiments are used to illustrate the importance of considering factors such as data characteristics, data-display mappings, perceptual interactions within and between display modalities, and user experience and training in designing new visualization tools. It is concluded that while further research is needed to develop generic design principles for auditory display, this should not stand in the way of exploration of bespoke designs for specific applications.

show abstract

Section: Decreasing Subjective Workloadmentioning

confidence: 99%

Issues in Auditory Display

Eldridge

2006

Artificial Life

View full text Add to dashboard Cite

show abstract

“…In one experiment, for example, Brewster and Murray mapped stock market price data for a single share to pitch to investigate if sounds provide a viable alternative for trading shares on mobile computing devices with limited screen space. 10 Test subjects' performance was evaluated in a task where the aim was to maximize profit by buying and selling shares. Subjects could use either the sonification or a line graph to monitor the share price over time.…”

Section: Auditory Displaysmentioning

confidence: 99%

Finding Trading Patterns in Stock Market Data

Nesbitt

Barrass

2004

IEEE Comput. Grap. Appl.

View full text Add to dashboard Cite

A problem facing many areas of industry is the rapid increase in data and how to deal with it efficiently. In many cases, these large amounts of data are a useful resource, and the problem then becomes one of how to extract meaning from that data. Data mining is the process of exploring abstract data in the search for valuable and unexpected patterns.We can consider the available tools for data mining in two broad categories: automated intelligent tools and human perceptual tools, as Figure 1 (next page) shows. Automated intelligent tools implement well-defined strategies for finding rules or patterns in data. These tools exploit a computer's capability to perform errorfree, repetitive tasks and to efficiently process large amounts of data without human intervention. With human perceptual tools, on the other hand, the focus is on keeping the human in the process by displaying data to users and letting them search for patterns. These tools take advantage of the human capability to perform subtle pattern matching tasks.In the past, human perceptual tools often provided users with a 2D visual display to explore. However, new user interface technologies developed in virtual environments let researchers extend visual displays to 3D, and also incorporate sound and haptic (touch) feedback. Unfortunately, designing such multisensory displays is complex; although some researchers have formalized design frameworks for both visual 1 and auditory display. 2,3 Despite such frameworks, this field is still largely an embryonic research area and fraught with many difficulties.This article describes our design and evaluation of a multisensory human perceptual tool for the real-world task domain of stock market trading. The tool is complementary in that it displays different information to different senses-our design incorporates both a 3D visual and a 2D sound display. The results of evaluating the tool in a formal experiment are complex.The data mined in this case study is bid-and-ask data-also called depth-of-market data-from the Australian Stock Exchange. Stock market traders typically analyze this data in real time. It captures offers made by potential buyers (bids) and sellers (asks) of a particu-lar stock. Our visual-auditory display is the bid-ask-landscape, which we developed over many iterations with the close collaboration of an expert in the stock market domain. From this domain's perspective, our project's principal goal was to develop a tool to help traders uncover new trading patterns in depth-of-market data.In this article, we not only describe the design of the bid-ask-landscape but also report on a formal evaluation of this visual-auditory display. We tested nonexperts on their ability to use the tool to predict the future direction of stock prices. The experiment's null hypothesis was that nonexperts couldn't predict the direction of the stock price using this tool. Surprisingly, the null hypothesis was proved false, leading to the possibility that useful patterns were detected in the display. Design frameworkWe...

show abstract

“…In the context of mobile applications, Brewster and Murray [3] used Earcons -short sounds associated to UI elements: ear icons-to improve the presentation of dynamic information on mobile devices. A comparison with the traditional visual-only modality in a stock price's monitoring task showed that the use of sonification reduced subjects' workload and their need to switch between several displays.…”

Section: Chi 2010: Sensingmentioning

confidence: 99%

SensorTune

Costanza

Panchard

Zufferey

et al. 2010

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

View full text Add to dashboard Cite

Wireless Sensor Networks (WSNs) allow the monitoring of activity or environmental conditions over a large area, from homes to industrial plants, from agriculture fields to forests and glaciers. They can support a variety of applications, from assisted living to natural disaster prevention. WSNs can, however, be challenging to setup and maintain, reducing the potential for real-world adoption. To address this limitation, this paper introduces SensorTune, a novel mobile interface to support non-expert users in iteratively setting up a WSN. SensorTune uses non-speech audio to present to its users information regarding the connectivity of the network they are setting up, allowing them to decide how to extend it. To simplify the interpretation of the data presented, the system adopts the metaphor of tuning a consumer analog radio, a very common and well known operation. A user study was conducted in which 20 subjects setup real multihop networks inside a large building using a limited number of wireless nodes. Subjects repeated the task with Sensor-Tune and with a comparable mobile GUI interface. Experimental results show a statistically significant difference in the task completion time and a clear preference of users for the auditory interface.

show abstract

Presenting Dynamic Information on Mobile Computers

Cited by 17 publications

References 5 publications

Issues in Auditory Display

Issues in Auditory Display

Finding Trading Patterns in Stock Market Data

SensorTune

Contact Info

Product

Resources

About