Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-rich Domains
Authors: Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne Haake
NeurIPS 2020 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Case studies on diagnostic error prediction and disease morphology categorization help demonstrate the effectiveness of the proposed model and discovered knowledge patterns. For evaluation, we present case studies on diagnostic error prediction and disease morphology categorization to demonstrate the effectiveness of the proposed model and discovered patterns. Table 2: Prediction of Diagnosis Correctness (Left) and Disease Morphology (Right) (Accuracy %) |
| Researcher Affiliation | Academia | Ervine Zheng Qi Yu Rui Li Pengcheng Shi Anne Haake Rochester Institute of Technology {mxz5733, qi.yu, rxlics, spcast, arhics}@rit.edu |
| Pseudocode | Yes | The whole process is also summarized in Algorithm 1 in the Appendix. |
| Open Source Code | No | No explicit statement providing access to the source code for the methodology described in this paper (e.g., a specific repository link or an explicit code release statement) was found. |
| Open Datasets | Yes | Two data elicitation experiments were conducted chronologically in prior works [33, 34] by using a repository of dermatological images as visual stimuli. |
| Dataset Splits | No | No specific details regarding training, validation, and test dataset splits (e.g., percentages, sample counts, or explicit mention of cross-validation folds) were found in the main text. |
| Hardware Specification | No | No specific hardware details (e.g., CPU/GPU models, memory, or cloud instance types) used for running the experiments were mentioned in the paper. |
| Software Dependencies | Yes | All verbal narrations were recorded and transcribed as sequences of word tokens and time-stamps using the speech analysis tool Praat [35]. (Citation [35]: 'Paul Boersma and David Weenink. Praat: doing phonetics by computer (version 5.1. 05)[computer program]. retrieved may 1, 2009, 2009.') |
| Experiment Setup | No | No specific experimental setup details such as hyperparameter values (e.g., learning rate, batch size, number of epochs) or explicit training configurations were provided in the main text. |