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| Content Provider | ACM Digital Library |
|---|---|
| Author | Berdahl, Edgar Blandino, Michael Baker, David Shanahan, Daniel |
| Abstract | For applications in HCI and sonic interaction design, the accuracy with which humans can continuously control analog sensors is investigated. The field of information theory suggests that a human together with a user interface can be modeled as a communication channel. Specifically, the Shannon-Hartley theorem implies that the channel capacity/throughput can be estimated by asking human subjects to "perform" gestures that match idealized, bandlimited Gaussian "target gestures." Then, the signal-to-noise ratio of the recorded gestures determines the channel capacity/throughput. This approach is tested on human users alternately operating one of four simple analog sensors. In contrast with prior work in HCI, joint probability density functions do not need to be estimated nor must geometrically "impossible" gestures be eliminated from consideration. Suggestions are made for creating knowledge about user interfaces that could potentially transmit an enhanced amount of information to a computer. |
| Starting Page | 85 |
| Ending Page | 90 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781450348225 |
| DOI | 10.1145/2986416.2986450 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-10-04 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Sound and music computing Channel capacity Continuous control Throughput Shannon-hartley theorem User interface design Mutual information Information theory |
| Content Type | Text |
| Resource Type | Article |
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