Fitts (1954: J Exp Psychol)
Why this work is in the frame
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Bibliographic record
Abstract
Paul Fitts' classic work (1954: J Exp Psychol) is a staple for all undergraduate courses in motor control and is a core topic in human factors and systems engineering. Fitts' work has garnered significant interest because it provides a basic and elegant formulation for predicting movement time for goal-directed actions (i.e., Index of Difficulty in bits of information: ID=[log2[2A/W]). Indeed, some researchers have stated that Fitts' work provides a law-based measure of human performance – an assertion quantifying Fitts' Law as the movement sciences law of relativity. The goal of this symposium is to outline recent work examining fundamental support for, and violations to, Fitts' formulation of speed-accuracy relations. The first talk (Zelaznik) will outline behavioural mechanisms associated with speed-accuracy relations and provide recent evidence that individual differences in speed-accuracy relations are correlated. The second talk (Tremblay) will examine speed-accuracy relations across a range of IDs and outline whether Fitts' theorem provides a unitary or non-unitary basis to predict movement time for amplitude- and width-based manipulation to an aiming environment. The third talk (Heath) will outline speed-accuracy relations related to Fitts' theorem in the oculomotor system. Last, Digby Elliott will serve as Reactor and discuss the relative merits of ascribing Fitts' work as a law-based or conceptual framework in the movement sciences. The ultimate aim of this symposium is to generate debate regarding the relative merits of expressing Fitts' work as a law-based phenomenon in the movement sciences. Supported by NSERC (MH, LT, DE).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it