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The cubic mouse: a new device for three-dimensional input

Authors:

Bernd Fröhlich,

John PlateAuthors Info & Claims

CHI '00: Proceedings of the SIGCHI conference on Human Factors in Computing Systems

Pages 526 - 531

https://doi.org/10.1145/332040.332491

Published: 01 April 2000 Publication History

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Abstract

We have developed a new input device that allows users to intuitively specify three-dimensional coordinates in graphics applications. The device consists of a cube-shaped box with three perpendicular rods passing through the center and buttons on the top for additional control. The rods represent the X, Y, and Z axes of a given coordinate system. Pushing and pulling the rods specifies constrained motion along the corresponding axes. Embedded within the device is a six degree of freedom tracking sensor, which allows the rods to be continually aligned with a coordinate system located in a virtual world. We have integrated the device into two visualization prototypes for crash engineers and geologists from oil and gas companies. In these systems the Cubic Mouse controls the position and orientation of a virtual model and the rods move three orthogonal cutting or slicing planes through the model. We have evaluated the device with experts from these domains, who were enthusiastic about its ease of use.

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Cited By

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Zhao LIsenberg TXie FLiang HYu L(2025)SpatialTouch: Exploring Spatial Data Visualizations in Cross-RealityIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345636831:1(897-907)Online publication date: Jan-2025
https://doi.org/10.1109/TVCG.2024.3456368
Razevicius GRoudaut AKarnik A(2024)HoberUI: An Exploration of Kinematic Structures as Interactive Input DevicesMultimodal Technologies and Interaction10.3390/mti80200138:2(13)Online publication date: 13-Feb-2024
https://doi.org/10.3390/mti8020013
Xuan LHaoxiang ZBaozheng JYanxia LYou L(2024)A Benchmark Dataset for Evaluating Spatial Perception in Multimodal Large ModelsProceedings of the First International Workshop on IoT Datasets for Multi-modal Large Model10.1145/3698385.3699875(37-43)Online publication date: 4-Nov-2024
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Index Terms

The cubic mouse: a new device for three-dimensional input
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Touch screens
    2. Interaction paradigms

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Published In

CHI '00: Proceedings of the SIGCHI conference on Human Factors in Computing Systems

April 2000

587 pages

ISBN:1581132166

DOI:10.1145/332040

Chairmen:
Thea Turner
Motorola Labs
,
Gerd Szwillus
Univ. of Paderborn, Paderborn, Germany

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 April 2000

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CHI00

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SIGCHI

CHI00: Human Factors in Computing Systems

April 1 - 6, 2000

The Hague, The Netherlands

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CHI '00 Paper Acceptance Rate 72 of 336 submissions, 21%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Razevicius GRoudaut AKarnik A(2024)HoberUI: An Exploration of Kinematic Structures as Interactive Input DevicesMultimodal Technologies and Interaction10.3390/mti80200138:2(13)Online publication date: 13-Feb-2024
https://doi.org/10.3390/mti8020013
Xuan LHaoxiang ZBaozheng JYanxia LYou L(2024)A Benchmark Dataset for Evaluating Spatial Perception in Multimodal Large ModelsProceedings of the First International Workshop on IoT Datasets for Multi-modal Large Model10.1145/3698385.3699875(37-43)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3698385.3699875
Perelman GSerrano MDubois E(2024)Exploiting Physical Referent Features as Input for Multidimensional Data Selection in Augmented RealityACM Transactions on Computer-Human Interaction10.1145/364861331:4(1-40)Online publication date: 19-Sep-2024
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Brucker BPardi GUehlin FMoosmann LLachmair MHalfmann MGerjets P(2024)How Learners’ Visuospatial Ability and Different Ways of Changing the Perspective Influence Learning About Movements in Desktop and Immersive Virtual Reality EnvironmentsEducational Psychology Review10.1007/s10648-024-09895-w36:3Online publication date: 22-Jun-2024
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Subramonyam HAdar EDrucker SBottoni PPanizzi E(2022)Composites: A Tangible Interaction Paradigm for Visual Data Analysis in Design PracticeProceedings of the 2022 International Conference on Advanced Visual Interfaces10.1145/3531073.3531091(1-9)Online publication date: 6-Jun-2022
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