This codebook.txt file was generated on 20211028 by Haiwei Ma. ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset Supplementary materials for A Review of Affective Computing Research Based on Function-Component-Representation Framework 2. Author Information Principal Investigator Contact Information Name: Haiwei Ma Institution: University of Minnesota Address: 200 Union St SE, Minneapolis, MN 55455 Email: maxxx979@umn.edu ORCID: 0000-0002-6621-9131 Associate or Co-investigator Contact Information Name: Svetlana Yarosh Institution: University of Minnesota Address: 200 Union St SE, Minneapolis, MN 55455 Email: lana@umn.edu ORCID: 0000-0001-8389-2064 3. Date of data collection 20171001 4. Geographic location of data collection: ACM Digital Library and IEEE Xplore 5. Information about funding sources that supported the collection of the data: National Science Foundation (grant 1526085 and grant 1651575) -------------------------- SHARING/ACCESS INFORMATION -------------------------- Recommended citation for the data: 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. 1. Licenses/restrictions placed on the data: CC0 1.0 Universal 2. Links to publications that cite or use the data: 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 3. Links to other publicly accessible locations of the data: N/A 4. Links/relationships to ancillary data sets: N/A 5. Was data derived from another source? If yes, list source(s): No --------------------- DATA & FILE OVERVIEW --------------------- 1. File List A. Filename: final_codes Short description: Coding of 1,110 papers included in our literature review on affective computing B. Filename: related_surveys Short description: Lists of related surveys, books, and other resources to our literature review on affective computing C. Filename: Short description: Tables of frequency distribution of papers over different categories and time (i.e., results of our literature review on affective computing) 2. Relationship between files: All files are supplementary files to our literature review on affective computing "A Review of Affective Computing Research Based on Function-Component-Representation Framework" 3. Additional related data collected that was not included in the current data package: N/A 4. Are there multiple versions of the dataset? yes/no If yes, list versions: Name of file that was updated: i. Why was the file updated? ii. When was the file updated? Name of file that was updated: i. Why was the file updated? ii. When was the file updated? No -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of methods used for collection/generation of data: Please refer to Section 3 METHODS in our paper "A Review of Affective Computing Research Based on Function-Component-Representation Framework" to understand the methods 2. Methods for processing the data: Please refer to Section 3 METHODS in our paper "A Review of Affective Computing Research Based on Function-Component-Representation Framework" 3. Instrument- or software-specific information needed to interpret the data: N/A 4. Standards and calibration information, if appropriate: N/A 5. Environmental/experimental conditions: N/A 6. Describe any quality-assurance procedures performed on the data: N/A 7. People involved with sample collection, processing, analysis and/or submission: Haiwei Ma and Svetlana Yarosh ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: final_codes ----------------------------------------- 1. Number of variables: 9 2. Number of cases/rows: 1,110 for sheet "all", 829 for sheet "detection", 38 for sheet "regulation", 136 for sheet "generation", and 107 for sheet "expression". 3. Missing data codes: N/A 4. Variable List Please refer to Section 3 METHODS and Section 4 CONCEPTUALIZATION OF AFFECT: FCR FRAMEWORK AND FINDINGS in our paper "A Review of Affective Computing Research Based on Function-Component-Representation Framework" to understand the variables and codes A. Name: title Description: title of the paper B. Name: year Description: year of publication C. Name: doi Description: doi of paper D. Name: function Description: function of affect (why compute affect) generation = affect generation regulation = affect regulation expression = affect expression detection = affect detection E. Name: subtopic Description: subtopic under function of affect emotional experience = eliciting emotional responses in individuals, a subtopic of affect generation computational modeling = modeling emotion in agents and robots, a subtopic of affect generation assistance = assisting regulation, a subtopic of affect regulation assistance = providing intervention, a subtopic of affect regulation communication = enhancing communication of emotions between individuals, a subtopic of affect expression synthesis & simulation = simulating emotion expression in agents, robots, and content, a subtopic of affect expression data quality = collecting valid emotional signals, a subtopic of affect detection algorithm design = designing algorithms to recognize human emotion, a subtopic of affect detection F. Name: component Description: component of affect (how to compute affect) feeling = the feeling component cognition = the cognitive component motivation = the motivational component physiology = the physiological/somatic component behavior = the behavioral/motor component social = the social component multi-component = multiple components G. Name: modality Description: modality under component of affect questionnaire etc = using questionnaire and other self-report or observation methods to approach emotion, a modality under the feeling component appraisal = using appraisal models to approach emotion, a modality under the cognitive component text music etc = using text, music, and other user-generated content to approach emotion, a modality under the cognitive component action tendencies = using action tendencies to approach emotion, a modality under the motivational component brain = using brain (central nervous system) signals to approach emotion, a modality under the physiological/somatic component peripheral nervous system = using peripheral nervous system signals to approach emotion, a modality under the physiological/somatic component physiology multimodal = combining multiple central or peripheral nervous system signals to approach emotion, a multimodal approach under the physiological/somatic component facial expression = using facial expression to approach emotion, a modality under the behavioral/motor component vocal expression = using vocal expression (paralinguistics) to approach emotion, a modality under the behavioral/motor component other expressions = using other expressions such as body movement, gesture, posture, user log data, etc. to approach emotion, a modality under the behavioral/motor component behavior multimodal = combining multiple behavioral channels and expressions to approach emotion, a multimodal approach under the behavioral/motor component social = using social dynamics to approach emotion, a modality under the social component multi-component = combining modalities across multiple components to approach emotion, a multimodal approach under the multi-component H. Name: representation Description: representation of affect (what affect to compute) biomarker = biomarkers of emotion which are low-level features for other representations category = discrete categories of emotion dimension = dimensional representation of emotion hybrid = using both categorical and dimensional representations with mapping between them I. Name: type Description: type under representation of affect feature profiles = profiles of low-level biomarker features, a type under the biomarker representation basic emotion = Ekman's model of basic emotions including happiness, sadness, surprise, anger, disgust, and fear, sometimes plus neutral and contempt, a type under the categorical/discrete representation nonbasic emotion = other categories than basic emotions, a type under the categorical/discrete representation core affect = valence, arousal, and power dimensions to represent emotions, a type under the dimensional representation noncore affect = other dimensions than core affect to represent emotions, a type under the dimensional representation ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: related_surveys ----------------------------------------- 1. Number of variables: 9 2. Number of cases/rows: 44 for sheet "surveys of specific modalities", 35 for sheet "surveys of specific domains", 9 for sheet "surveys of overlapping fields", 2 for sheet "surveys with emotion theories", 6 for sheet "AC reflections and discussions", 11 for sheet "AC books", 50 for sheet "psychology books", and 30 for sheet "psychology surveys". 3. Missing data codes: N/A 4. Variable List Please refer to Section 2 PREVIOUS SURVEYS in our paper "A Review of Affective Computing Research Based on Function-Component-Representation Framework" to understand the variables A. Name: title Description: title of the paper B. Name: year Description: year of publication C. Name: doi Description: doi of paper D. Name: Author Description: author list of paper E. Name: modality Description: modality used in the paper F. Name: details Description: details of modality used in the paper G. Name: domain Description: application domain to apply affective computing discussed in the paper H. Name: field Description: research field that overlaps with affective computing discussed in the paper I. Name: theory focus Description: emotion theory discussed in the paper ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: results ----------------------------------------- 1. Number of variables: 3 2. Number of cases/rows: 44 for sheet "surveys of specific modalities", 35 for sheet "surveys of specific domains", 9 for sheet "surveys of overlapping fields", 2 for sheet "surveys with emotion theories", 6 for sheet "AC reflections and discussions", 11 for sheet "AC books", 50 for sheet "psychology books", and 30 for sheet "psychology surveys". 3. Missing data codes: N/A 4. Variable List Please refer to Section 4 CONCEPTUALIZATION OF AFFECT: FCR FRAMEWORK AND FINDINGS in our paper "A Review of Affective Computing Research Based on Function-Component-Representation Framework" to understand the tables A. Name: Number Description: absolute number of papers that fall into a certain category B. Name: Percentage Description: percentage of papers that fall into a certain category relative to the total 1,110 papers C. Name: Year Description: absolute number or percentage of papers that are published in each year (relative to the total 1,110 papers)