Automated Author ProfileOertel, Catharine
Oertel, Catharine
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 4.1 (sum of 9 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset contains data collected during an experiment at Delft University of Technology, as part of Paul Raingeard de la Bletiere PhD Thesis project.It is being made public both to act as supplementary data for publications and the PhD thesis of Paul Raingeard de la Bletiere and in order for other researchers to use this data in their own work.The data in this dataset was collected through a website accessed by participants between August 2024 and December 2024.This research project was made possible by a grant from the Dutch Research Council (NWO) (Grant Number KICH1.GZ02.20.008). Additional support from Alzheimer Nederland is gratefully acknowledged.The purpose of this experiment was to test a music recommender system linking music with specific episodic memories chosen by participants, through a discussion with a virtual agent. This specific part of the data relates to the ratings of recommendations by participants.
Authors
- Raingeard de la Blétière, Paul ;
- Neerincx, M.A. (Mark) ;
- Schaefer, Rebecca ;
- Oertel, Catharine
This dataset contains data collected during an experiment at Delft University of Technology, as part of Paul Raingeard de la Bletiere PhD Thesis project.It is being made public both to act as supplementary data for publications and the PhD thesis of Paul Raingeard de la Bletiere and in order for other researchers to use this data in their own work.The data in this dataset was collected through a website accessed by participants between August 2024 and December 2024.This research project was made possible by a grant from the Dutch Research Council (NWO) (Grant Number KICH1.GZ02.20.008). Additional support from Alzheimer Nederland is gratefully acknowledged.The purpose of this experiment was to test a music recommender system linking music with specific episodic memories chosen by participants, through a discussion with a virtual agent. This specific part of the data relates to the discussion logs with this agent, the chosen memories, as well as the demographic data filled by participants.
Authors
- Raingeard de la Blétière, Paul ;
- Neerincx, M.A. (Mark) ;
- Schaefer, Rebecca ;
- Oertel, Catharine
This dataset contains data collected during an experiment at Delft University of Technology, as part of Paul Raingeard de la Bletiere PhD Thesis project.It is being made public both to act as supplementary data for publications and the PhD thesis of Paul Raingeard de la Bletiere and in order for other researchers to use this data in their own work.The data in this dataset was collected through a website accessed by participants between August 2024 and December 2024.This research project was made possible by a grant from the Dutch Research Council (NWO) (Grant Number KICH1.GZ02.20.008). Additional support from Alzheimer Nederland is gratefully acknowledged.The purpose of this experiment was to test a music recommender system linking music with specific episodic memories chosen by participants, through a discussion with a virtual agent. This specific part of the data relates to the ratings of recommendations by participants.
Authors
- Raingeard de la Blétière, Paul ;
- Neerincx, M.A. (Mark) ;
- Schaefer, Rebecca ;
- Oertel, Catharine
This dataset contains data collected during an experiment at Delft University of Technology, as part of Paul Raingeard de la Bletiere PhD Thesis project.It is being made public both to act as supplementary data for publications and the PhD thesis of Paul Raingeard de la Bletiere and in order for other researchers to use this data in their own work.The data in this dataset was collected through a website accessed by participants between August 2024 and December 2024.This research project was made possible by a grant from the Dutch Research Council (NWO) (Grant Number KICH1.GZ02.20.008). Additional support from Alzheimer Nederland is gratefully acknowledged.The purpose of this experiment was to test a music recommender system linking music with specific episodic memories chosen by participants, through a discussion with a virtual agent. This specific part of the data relates to the discussion logs with this agent, the chosen memories, as well as the demographic data filled by participants.
Authors
- Raingeard de la Blétière, Paul ;
- Neerincx, M.A. (Mark) ;
- Schaefer, Rebecca ;
- Oertel, Catharine
Coded dataset of a literature review on the use of sequential analysis in learning analytics and educational data mining research. The analysis was performed on 74 publications from 2010 to 2023, obtained from queries on SCOPUS and Web of Science. The literature review contains detailed information about the search terms, inclusion rules, and coding categories (to be published in late March during the LAK24 conference, pre-print available upon request).
The worksheet named 'ArticlesByCategoty' contains the data that coded from the articles, and then used in the analysis and interpretation of the literature review. The 'QueryResults' worksheet contains the articles that resulted from the database queries.
Authors
- Valle Torre, Manuel ;
- Specht, Marcus ;
- Oertel, Catharine
Coded dataset of a literature review on the use of sequential analysis in learning analytics and educational data mining research. The analysis was performed on 74 publications from 2010 to 2023, obtained from queries on SCOPUS and Web of Science. The literature review contains detailed information about the search terms, inclusion rules, and coding categories (to be published in late March during the LAK24 conference, pre-print available upon request).
The worksheet named 'ArticlesByCategoty' contains the data that coded from the articles, and then used in the analysis and interpretation of the literature review. The 'QueryResults' worksheet contains the articles that resulted from the database queries.
Authors
- Valle Torre, Manuel ;
- Specht, Marcus ;
- Oertel, Catharine
The dataset contains children's eye gaze behaviour during child-robot interactions with a NAO robot, in the form of text files describing the gaze state per video frame, as well as audio recordings and transcriptions to text of post-child-robot-interaction interviews between researcher and child. Information gained from the post-interaction interviews is used to partition and label the gaze states into a (final) machine-readable dataset.
Authors
- Nikkels, Lucile ;
- Oertel, Catharine ;
- Neerincx, Mark A. ;
- Burger, Franziska
The dataset contains children's eye gaze behaviour during child-robot interactions with a NAO robot, in the form of text files describing the gaze state per video frame, as well as audio recordings and transcriptions to text of post-child-robot-interaction interviews between researcher and child. Information gained from the post-interaction interviews is used to partition and label the gaze states into a (final) machine-readable dataset.
Authors
- Nikkels, Lucile ;
- Oertel, Catharine ;
- Neerincx, Mark A. ;
- Burger, Franziska
Coded dataset of a literature review on the use of sequential analysis in learning analytics and educational data mining research. The analysis was performed on 44 publications from 2006 to 2022, obtained from queries on SCOPUS and Web of Science. Visit the literature review for detailed information about the search terms, inclusion rules, and coding categories.
The worksheet named 'Finished' contains the data that resulted in the analysis and interpretation of the literature review, while the 'Raw' worksheet contains the information as it was extracted from Atlas.ti, where it was originally coded.
Authors
- Valle Torre, Manuel ;
- Specht, Marcus ;
- Oertel, Catharine