The perceptual structure of multidimensional input device selection

Jacob, Robert J. K.; Sibert, Linda E.

doi:10.1145/142750.142792

Cited by 60 publications

(50 citation statements)

References 9 publications

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“…The average number of crossings per trial across all conditions was 2.5 (standard error = 0.048). There was a significant effect of interaction technique (F (4,48) = 55.15, p<0.001), target-fit (F (1,12) = 68.1, p<0.001), distance (F (1,12) = 7.5, p<0.02), Orientation (F (2,24) = 19.8, p<0.001) and block-number (F (2,24) = 13.7, p<0.001) on MT. We found no effect of target distance on number of crossings.…”

Section: Resultsmentioning

confidence: 97%

“…Out of a total of 4680 trials 73 outliers (more than 3.5 standard deviations from the group mean) were excluded from further analysis. There was a significant effect of interaction technique (F (4,48) = 11.15, p<0.001), target-fit (F (1,12) = 102.9, p<0.001), distance (F (1,12) = 7.5, p<0.02), Orientation (F (2,24) = 15.9, p<0.001) and block-number (F (2,24) = 43.4, p<0.001) on MT. Figure 5 shows the mean trial completion time for each technique and target-fit.…”

Section: Resultsmentioning

confidence: 99%

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PressureMove: Pressure Input with Mouse Movement

Shi

Subramanian

Irani

2009

Human-Computer Interaction – INTERACT 2009

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Abstract. We present PressureMove a pressure based interaction technique that enables simultaneous control of pressure input and mouse movement. Simultaneous control of pressure and mouse movement can support tasks that require control of multiple parameters, like rotation and translation of an object, or panand-zoom. We implemented four variations of PressureMove techniques for a 2D position and orientation matching task where pressure manipulations mapped to object orientation and mouse movement to object translation. The Naive technique mapped raw pressure-sensor values to the object rotation; the Rate-based technique mapped discrete pressure values to speed of rotation and Hierarchical and Hybrid techniques that use a two-step approach to control orientation using pressure. In user study that compared the four techniques with the default mouse-only technique we found that Rate-based PressureMove was the fastest technique with the least number of crossings and as preferred as the default mouse in terms of user-preference. We discuss the implications of our user study and present several design guidelines.

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Section: Resultsmentioning

confidence: 97%

Section: Resultsmentioning

confidence: 99%

PressureMove: Pressure Input with Mouse Movement

Shi

Subramanian

Irani

2009

Human-Computer Interaction – INTERACT 2009

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“…In early studies of 3D input devices [15] Jacob and Sibert found that the proper design of an input device depends on how users perceive the attributes of a task. 3D tracked input devices worked best if all attributes were related or integrated, whereas for manipulating independent task attributes a mouse worked better.…”

Section: Related Workmentioning

confidence: 99%

“…Considering the work of Jacob and Siebert [15], a desktop AR based system control task was developed that includes separated selection and manipulation of virtual objects. Jacob and Siebert found that a separated interaction device such as a mouse works better for this kind of tasks rather than an integrated device such as a 3D tracked prop.…”

Section: Interface Evaluationmentioning

confidence: 99%

Evaluation of Tangible User Interfaces for Desktop AR

Dünser

Looser

Grasset

et al. 2010

2010 International Symposium on Ubiquitous Virtual Reality

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Abstract-In this work we evaluated the usability of tangible user interaction for traditional desktop augmented reality environments. More specifically, we compared physical sliders and tracked paddles, and traditional mouse input for a system control task. While task accuracy was the same for all interfaces, mouse input performed the fastest and input with a tracked paddle the slowest. Performance with the physical sliders fell between those two. We present these results along with various findings from user comments, and discuss how they may influence the design of future desktop AR systems.

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“…Another area of interaction technique research at NRL has been an investigation of three degree of freedom input [4]. In studying interaction techniques, each new piece of hardware that appears raises the question ''What tasks is this device good for, and how should it be incorporated into interface designs?''…”

Section: Three-dimensional Interactionmentioning

confidence: 99%

New Human-Computer Interaction Techniques

Jacob¹

1994

Human-Machine Communication for Educational Systems Design

Self Cite

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Abstract. This chapter describes the area of human-computer interaction technique research in general and then describes research in several new types of interaction techniques under way at the Human-Computer Interaction Laboratory of the U.S. Naval Research Laboratory: eye movement-based interaction techniques, three-dimensional pointing, and, finally, using dialogue properties in interaction techniques.

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The perceptual structure of multidimensional input device selection

Cited by 60 publications

References 9 publications

PressureMove: Pressure Input with Mouse Movement

PressureMove: Pressure Input with Mouse Movement

Evaluation of Tangible User Interfaces for Desktop AR

New Human-Computer Interaction Techniques

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