Space, Time, and Choice: A Unified Approach to Flexible Personal Scheduling
Bibliographic record
Abstract
In the context of increasingly busy lives and mobility constraints, we present a unified space-time approach to support flexible personal scheduling. We distill an analysis of the design requirements of interactive space-time scheduling into a single coherent workflow where users can manipulate a rich vocabulary of spatio-temporal parameters, and plan/explore itineraries that satisfy or optimize the resulting space-time constraints. We demonstrate our approach using a proof-of-concept mobile application that enables exploration of the inter-connected continuum between task scheduling (temporal), and multi-destination route mapping (spatial). We evaluate the application with a user study involving an itinerary reproduction task and a free-form planning task. We also provide usage scenarios illustrating the potential of our approach in various contexts and tasks. Results suggest that our approach fills an important gap between route mapping and calendar scheduling, suggesting a new research direction in personal planning interface design.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".