Personalized Alert Agent for Optimal User Performance
Authors: Avraham Shvartzon, Amos Azaria, Sarit Kraus, Claudia Goldman, Joachim Meyer, Omer Tsimhoni
AAAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | In an experiment using a spaceship computer game, we show that receiving alerts from the personalized alert agent significantly improves user performance. |
| Researcher Affiliation | Collaboration | Avraham Shvartzon1, Amos Azaria2, Sarit Kraus1, Claudia V. Goldman3, Joachim Meyer4 and Omer Tsimhoni3 1 Dept. of Computer Science, Bar-Ilan University, Ramat Gan 52900, Israel 2 Dept. of Machine Learning, Carnegie Mellon University, Pittsburgh, PA 15213 3 General Motors Advanced Technical Center, Herzliya 46725, Israel 4 Dept. of Industrial Engineering, Tel Aviv University, Ramat Aviv, Tel Aviv 69978, Israel |
| Pseudocode | No | The paper presents formal models and equations but does not include structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any explicit statements about open-sourcing the code or links to a code repository. |
| Open Datasets | No | The paper uses data collected from a custom 'spaceship game' and mentions collecting 'training data from 20 subjects' but does not provide access information (link, citation, or repository) for this dataset to be publicly available. |
| Dataset Splits | No | The paper mentions 'tenfold-crossvalidation on the training data' but does not provide specific percentages, sample counts, or explicit details about the dataset splits (training, validation, test) needed for full reproducibility. |
| Hardware Specification | No | The paper does not provide specific hardware details (such as CPU/GPU models, memory, or cloud instance types) used for running the experiments. |
| Software Dependencies | No | The paper does not provide specific software dependencies or version numbers (e.g., libraries, frameworks, or solvers with versions) used in the experiments. |
| Experiment Setup | Yes | Table 2: Settings used in the spaceship game: Action, Score ($), Time cost (spaceship frozen). For example: Maintenance $5 8 secs, Repair $500 3 secs, Hit by meteor $10 N/A, Hit a meteor +$30 N/A. |