
Replication dataset related to the article: "Emotion recognition systems with electrodermal activity: From affective science to affective computing". This dataset contains the systematic search results and the curated list of articles used for the systematic review on automated affect recognition using Electrodermal Activity (EDA). It includes the raw extraction files, the inclusion/exclusion criteria results, and the final metadata of the studies analyzed in the publication. The purpose is to allow reproducibility of the systematic review process and provide a base for future meta-analyses in the field of affective computing. The dataset was generated following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Searches were conducted across multiple electronic databases using specific boolean queries related to EDA and Emotion Recognition.
Emotion Recognition, Electrodermal Activity (EDA), Affective Computing, Systematic Review
Emotion Recognition, Electrodermal Activity (EDA), Affective Computing, Systematic Review
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
