Title
Supplementary materials for A Review of Affective Computing Research Based on Function-Component-Representation Framework
Published Date
2021-04-26
Authors
Group
University of Minnesota GroupLens Research Lab
Author Contact
Ma, Haiwei (maxxx979@umn.edu)
Type
Dataset
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
Sponsorship:
the National Science Foundation (grant 1526085); 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.
License
CC0 1.0 Universal
Suggested Citation
Ma, Haiwei; Yarosh, Svetlana.
(2021). Supplementary materials for A Review of Affective Computing Research Based on Function-Component-Representation Framework.
Retrieved from the Data Repository for the University of Minnesota,
https://doi.org/10.13020/tcea-6f08.