Expressy: Using a Wrist-Worn Inertial Measurement Unit to Add Expressiveness to Touch-Based Interactions
- Submitting institution
-
University of Newcastle upon Tyne
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 219021-131972-1292
- Type
- E - Conference contribution
- DOI
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10.1145/2858036.2858223
- Title of conference / published proceedings
- ACM Conference on Human Factors in Computing Systems 2016
- First page
- 2832
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- May
- Year of publication
- 2016
- URL
-
http://dx.doi.org/10.1145/2858036.2858223
- 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
- Yes
- Number of additional authors
-
8
- Research group(s)
-
C - Open Lab
- Citation count
- 15
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper proposes a method to support expressiveness in touch-based interactions that extend beyond what is offered by today’s typical sensing hardware. Its strength comes from introducing a conceptual model for expressive interactions on touch devices, a practical technical implementation (compared to previous work) backed by rigorous human-factors studies, and a set of possible applications providing both research and commercial value. It was published at the leading HCI venue, ACM CHI. The work on this paper was a collaboration between two universities and Microsoft Research, and was part-funded by a BBC/EPSRC ICase studentship.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -