Name
Abstract | ||
|---|---|---|
The rationale for Fitts’ law is that pointing tasks have the information-theoretic analogy of sending a signal over a noisy channel, thereby matching Shannon’s capacity formula. Yet, the currently received analysis is incomplete and unsatisfactory: There is no explicit communication model for pointing; there is a confusion between central concepts of capacity (a mathematical limit), throughput (an average performance measure), and bandwidth (a physical quantity); and there is also a confusion between source and channel coding so that Shannon’s Theorem 17 can be misinterpreted. We develop an information-theoretic model for pointing tasks where the index of difficulty (ID) is the expression of both a source entropy and a zero-error channel capacity. Then, we extend the model to include misses at rate ϵ and prove that ID should be adjusted to (1−ϵ)ID. Finally, we reflect on Shannon’s channel coding theorem and argue that only minimum movement times, not performance averages, should be considered.
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Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3231595 | ACM Trans. Comput.-Hum. Interact. |
Keywords | Field | DocType |
Fitts’ law, channel capacity, speed-accuracy tradeoff | Fitts's law,Physical quantity,Computer science,Limit (mathematics),Algorithm,Communication channel,Models of communication,Bandwidth (signal processing),Human–computer interaction,Throughput,Channel capacity | Journal |
Volume | Issue | ISSN |
25 | 5 | 1073-0516 |
Citations | PageRank | References |
1 | 0.34 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Julien Gori | 1 | 9 | 3.16 |
| Olivier Rioul | 2 | 92 | 23.54 |
| Yves Guiard | 3 | 790 | 60.15 |