Cursor Control Device Use by Persons with Physical Disabilities: Implications for Hardware and Software Design

1992 ◽  
Vol 36 (4) ◽  
pp. 311-315 ◽  
Author(s):  
Sherry Perdue Casali
Keyword(s):  
Software Design ◽  
Control Device ◽  
Acquisition Time ◽  
Target Acquisition ◽  
Cursor Control ◽  
Acquisition Task ◽  
Operating Strategies ◽  
Device Use ◽  
Small Targets ◽  
The Individual

Computer technology has the potential to offer individuals with physical limitations greater levels of independence and increased opportunities for meaningful employment, but this can only be realized when the individual can interact efficiently with the computer. Choosing a cursor control device is particularly important given the growing popularity of direct-manipulation style interfaces. Twenty persons with impaired hand and arm function (as a result of a spinal chord injury) and 10 nondisabled persons performed a target acquisition task with five cursor control devices: a mouse, trackball, cursor keys, joystick, and tablet. Even persons with profound impairment were able to compensate for their disability and operate each device by using minor device modifications and/or unique operating strategies. These modifications and compensation techniques are described. Regardless of the physical skill level of the user, the rank ordering of the five devices with respect to target acquisition time was the same. The mouse, trackball, and tablet provided better performance than the keys, which provided better performance than the joystick. Dragging was particularly problematic for persons with motor control limitations, as was acquiring small targets. The implications of the results for hardware and software design are discussed.

Comparison of Six Cursor Control Devices Based on Fitts' Law Models

1986 ◽  
Vol 30 (4) ◽  
pp. 327-331 ◽  
Author(s):  
Brian W. Epps
Keyword(s):  
Regression Analysis ◽  
Movement Time ◽  
Performance Data ◽  
Target Acquisition ◽  
Acquisition Performance ◽  
Cursor Control ◽  
Fitts Law ◽  
Acquisition Task ◽  
Control Devices ◽  
Best Fit

Six cursor control devices were compared on a target acquisition task which required subjects to move a cursor into square targets of varying sizes and at various screen distances. The target acquisition performance data were fitted to movement time models proposed by Fitts, Jagacinski, and Kvalseth. Regression analysis results indicated good predictions of target acquisition performance for the six cursor devices. The best fit was obtained with the trackball across the three models.

Cursor Control Device Test Battery

2011 ◽  
Author(s):  
Aniko Sandor ◽  
Kritina L. Holden ◽  
John W. Pace ◽  
Lockheed Martin
Keyword(s):  
Control Device ◽  
Test Battery ◽  
Cursor Control ◽  
Device Test

scholarly journals Deriving Cursor Control Device Expectations for the Orion Crew Exploration Vehicle

2010 ◽  
Vol 54 (13) ◽  
pp. 1007-1011 ◽  
Author(s):  
Michael C. Dorneich ◽  
Jeff A. Lancaster ◽  
Christopher J. Hamblin ◽  
Olu Olofinboba ◽  
Robert E. Demers
Keyword(s):  
Control Device ◽  
Cursor Control

Development of an Intelligent Information Systems for Object-Oriented Software Design

2011 ◽  
pp. 273-286
Author(s):  
Gary P. Moynihan ◽  
Bin Qiao ◽  
Matthew E. Elam ◽  
Joel Jones
Keyword(s):  
Software Development ◽  
Software Design ◽  
Design Problem ◽  
Design Pattern ◽  
Design Patterns ◽  
Object Oriented ◽  
Pattern Selection ◽  
Prototype System ◽  
Intelligent Information ◽  
The Individual

The purpose of this research was to apply an artificial intelligence approach to improve the efficiency of design pattern selection used in the development of object-oriented software. Design patterns provide a potential solution to the limitations occurring with traditional software design approaches. Current methods of design pattern selection tend to be intuitive, and based on the experience of the individual software engineer. This expertise is very specialized and frequently unavailable to many software development organizations. A prototype expert system was developed in order to automate this process of selecting suitable patterns to be applied to the design problem under consideration. It guides the designer through the pattern selection process through inquiry regarding the nature of the design problem. The prototype system also provides the capabilities to browse patterns, view the relationship between patterns, and generate code based on the pattern selected. The routine application of such a system is viewed as a means to improve the productivity of software development by increasing the use of accepted design patterns.

Differential Effects of ‘Noise’ Stress and Workload on Salience and Hemispace Bias in a Screen-Based Target Acquisition Task

1995 ◽  
Vol 39 (13) ◽  
pp. 864-867
Author(s):  
Alan F. Stokes ◽  
James A. Pharmer ◽  
Aysenil Belger
Keyword(s):  
Individual Differences ◽  
Stress Condition ◽  
Target Selection ◽  
Attentional Biases ◽  
Target Acquisition ◽  
Differential Effects ◽  
Noise Stress ◽  
Acquisition Task ◽  
High Bias ◽  
Related Stress

Attentional biases in stressed or overworked radar operators (airborne or in Combat Information Centers, etc.) may have important operational implications. This study examined the effects of workload and non-workload-related stress on salience bias in a screen-based target selection and engagement task. Results in the control condition confirmed that appreciable baseline salience bias existed. Moreover, in the non-task-related stress condition (noise/anxiety), a significant increase in salience bias was observed. Elevated workload, in contrast, was associated with no significant changes in salience bias. Overall, the results showed stable individual differences in salience bias and suggested that non-workload related stress influenced ‘high bias’ individuals proportionately more than ‘low bias’ individuals-an outcome with potential implications for selection. Subjects were also significantly biased toward the left hemispace, a powerful effect that remained even after the experiment was repeated using subjects’ left instead of right hands.

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