Supplementary materials for A Review of Affective Computing Research Based on Function-Component-Representation Framework
2021-04-26T14:13:18Z
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2001-10
2017-10
2017-10
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2017-10
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Title
Supplementary materials for A Review of Affective Computing Research Based on Function-Component-Representation Framework
Published Date
2021-04-26T14:13:18Z
Authors
Author Contact
Ma, Haiwei
maxxx979@umn.edu
maxxx979@umn.edu
Type
Dataset
Survey Data-Qualitative
Survey Data-Quantitative
Survey Data-Qualitative
Survey Data-Quantitative
Abstract
The data provide detailed information about our conceptual analysis. These data files can increase the transparency, reproducibility, and replicability of our paper and facilitate knowledge sharing among the research community. It is requested by reviewers of our paper to publicize these data for the benefit of readers and the research community.
Description
There are three data files. The first data file includes complete results of our coding of 1,110 papers in terms of function (along with detailed subtopic), component (along with detailed modality), and representation (along with detailed type) that are discussed in our survey paper. The second data file includes lists of related surveys, books, and other resources that are mentioned in our survey paper and can be used for additional reference to our survey paper. The third data file includes tables of frequency distributions of 1,110 papers over different coding categories and over time.
Funding Information
the National Science Foundation (grant 1526085)
the National Science Foundation (grant 1651575)
the National Science Foundation (grant 1651575)
Referenced by
Ma, H., & Yarosh, S. (2021). A Review of Affective Computing Research Based on Function-Component-Representation Framework. IEEE Transactions on Affective Computing.
https://doi.org/10.1109/TAFFC.2021.3104512
https://doi.org/10.1109/TAFFC.2021.3104512
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Funding information
the National Science Foundation (grant 1526085)
the National Science Foundation (grant 1651575)
the National Science Foundation (grant 1651575)
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View/Download file
| File View/Open | Description | Size |
|---|---|---|
| readme.txt | Description of data | 12.69 KB |
| final_codes.xlsx | Coding of 1,110 papers | 188.37 KB |
| related_surveys.xlsx | Lists of related surveys, books, and other resources | 51.87 KB |
| results.xlsx | Tables of frequency distribution of papers over different categories and time | 52.19 KB |
| ArchivalCopyDataSet.zip | Archival Copy of Dataset (includes 22 .csv files) | 313.81 KB |
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