Motion Correlation: Selecting Objects by Matching Their Movement : Selecting Objects by Matching Their Movement
- Submitting institution
-
The University of Lancaster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 226226385
- Type
- D - Journal article
- DOI
-
10.1145/3064937
- Title of journal
- ACM Transactions on Computer-Human Interaction (TOCHI)
- Article number
- 22
- First page
- -
- Volume
- 24
- Issue
- 3
- ISSN
- 1073-0516
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
5
- Research group(s)
-
E - Interactive Systems
- Citation count
- 12
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This foundational work defines a novel motion-based principle for user input and establishes its utility for gaze and gesture interfaces and spontaneous interaction across devices. Published in the field’s top journal, EiC Ken Hinckley highlighted the work’s significance “this TOCHI contribution took the concept and ran circles around every preconception I’d had about the scope of its utility”. The work received the single TOCHI 2017 Best Paper Award, appraised especially for depth and rigour “firmly based in a thorough understanding of human perception, explored in a range of different systems, arriving at a set of design principles and generalisable concepts”.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
