{"id":5920,"identifier":"FK2/39NZQM","persistentUrl":"https://doi.org/10.17903/FK2/39NZQM","protocol":"doi","authority":"10.17903","publisher":"Κατάλογος Δεδομένων SoDaNet","publicationDate":"2022-12-15","storageIdentifier":"file://10.17903/FK2/39NZQM","datasetVersion":{"id":1512,"storageIdentifier":"file://10.17903/FK2/39NZQM","versionNumber":2,"versionMinorNumber":0,"versionState":"RELEASED","distributionDate":"2022-12-07","productionDate":"Production Date","UNF":"UNF:6:yghLr4AfcLli0M4ikMC9Kw==","lastUpdateTime":"2023-02-23T13:40:43Z","releaseTime":"2023-02-23T13:40:43Z","createTime":"2023-02-23T13:39:55Z","license":"NONE","termsOfUse":"Metadata will be made available under licence Creative Commons Attribution 4.0 International Public License","confidentialityDeclaration":"Not available","availabilityStatus":"All data files are under embargo until 01/07/2023.","restrictions":"Not applied","citationRequirements":"To follow the following example: ","depositorRequirements":"The user must comply with the terms of the license and availability of data and metadata.","conditions":"For terms of use please see here","disclaimer":"Please check here","termsOfAccess":"1) AI TRACE Tracking data.rar (Timing-and-Tracking Data of the data project: \"Synaesthetic Engagement of Artificial Intelligence with Digital Arts and its Audience (AI TRACE)\" in .csv format) : Under embargo until 30-06-2023. After this date, available as 'Open Access'.---2) ekke-1-0062-EN_Codebook.pdf (Codebook of Timing-and-Tracking Datafile of the data project: \"Synaesthetic Engagement of Artificial Intelligence with Digital Arts and its Audience (AI TRACE)\") : Open Access.---3) ekke-1-0062-EN_Consent_Form_EN.pdf (Informed Consent Form for the Preparatory Activity of the AI TRACE pilot) : Open Access.---4) ekke-1-0062-EN_M.tab (Questionnaire & Timing-and-Tracking Data of the data project: \"Synaesthetic Engagement of Artificial Intelligence with Digital Arts and its Audience (AI TRACE)\" in SPSS format) : Under embargo until 30-06-2023. After this date, available as 'Open Access'.---5) ekke-1-0062_EN_questionnaire.pdf (Digital Arts exhibition visitor questionnaire) : Open Access.---6) ekke-1-0062_EN.tab (Data file of the questionnaire for: Synaesthetic Engagement of Artificial Intelligence with Digital Arts and its Audience (AI TRACE)) : Under embargo until 30-06-2023. After this date, available as 'Open Access'.---7) ekke-1-0062-EN_TD.tab (Timing-and-Tracking Data of the data project: \"Synaesthetic Engagement of Artificial Intelligence with Digital Arts and its Audience (AI TRACE)\" in SPSS format) : Under embargo until 30-06-2023. After this date, available as 'Open Access'.---","dataAccessPlace":"The data are available via the SoDaNet Data Catalogue","sizeOfCollection":"3 data files in spss format, 1 data file in .csv format, 1 codebook, 1 questionnaire and 1 consent form are provided.","studyCompletion":"Complete","fileAccessRequest":false,"metadataBlocks":{"citation":{"displayName":"Citation Metadata","fields":[{"typeName":"studyCategory","multiple":false,"typeClass":"controlledVocabulary","value":"Quantitative Study with Data"},{"typeName":"title","multiple":false,"typeClass":"primitive","value":"Synaesthetic Engagement of Artificial Intelligence with Digital Arts and its Audience (AI TRACE): Questionnaire data and timing-and-tracking data gathered from digital arts exhibition visitors"},{"typeName":"alternativeTitle","multiple":false,"typeClass":"primitive","value":"AI TRACE"},{"typeName":"internalStudyId","multiple":false,"typeClass":"primitive","value":"ekke-1-0062-ΕΝ"},{"typeName":"author","multiple":true,"typeClass":"compound","value":[{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Markellou, Marina"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Panteion University, Department of Communication, Media and Culture"},"authorIdentifierScheme":{"typeName":"authorIdentifierScheme","multiple":false,"typeClass":"controlledVocabulary","value":"ORCID"},"authorIdentifier":{"typeName":"authorIdentifier","multiple":false,"typeClass":"primitive","value":"https://orcid.org/0000-0002-3744-2801"},"authorCVURL":{"typeName":"authorCVURL","multiple":false,"typeClass":"primitive","value":"https://www.researchgate.net/profile/Marina-Markellou"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Salmouka, Foteini"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Panteion University, Department of Communication, Media and Culture"},"authorIdentifierScheme":{"typeName":"authorIdentifierScheme","multiple":false,"typeClass":"controlledVocabulary","value":"ORCID"},"authorIdentifier":{"typeName":"authorIdentifier","multiple":false,"typeClass":"primitive","value":"https://orcid.org/0000-0003-2775-5748"},"authorCVURL":{"typeName":"authorCVURL","multiple":false,"typeClass":"primitive","value":"https://www.researchgate.net/profile/Foteini-Salmouka"}}]},{"typeName":"publisher","multiple":false,"typeClass":"controlledVocabulary","value":"SoDaNet - EKKE"},{"typeName":"datasetContact","multiple":true,"typeClass":"compound","value":[{"datasetContactName":{"typeName":"datasetContactName","multiple":false,"typeClass":"primitive","value":"Markellou, Marina"},"datasetContactAffiliation":{"typeName":"datasetContactAffiliation","multiple":false,"typeClass":"primitive","value":"Panteion University, Department of Communication, Media and Culture"},"datasetContactEmail":{"typeName":"datasetContactEmail","multiple":false,"typeClass":"primitive","value":"markelloumarina@gmail.com"}}]},{"typeName":"dsDescription","multiple":true,"typeClass":"compound","value":[{"dsDescriptionValue":{"typeName":"dsDescriptionValue","multiple":false,"typeClass":"primitive","value":"The data presented in this data project were collected in the context of the research project “AI TRACE - Synaesthetic Engagement of Artificial Intelligence with Digital Arts and its Audience”. The research project was supported by the Hellenic Foundation for Research and Innovation (H.F.R.I.)under the “2nd Call for H.F.R.I. Research Projects to support Post-Doctoral Researchers” (Project Number: 782). AI TRACE aimed at developing an ethically compliant behavioural analysis and visualization tool in the form of a metalanguage that can be used in the museum sector to track, analyse and present data collected from exhibition visitors in the form of a personalized 3D digital object. AI TRACE showcases Artificial Intelligence subsystems. The data presented in this data project were collected during the Preparatory Activity event that took place in October 2021 during the 17th edition of the Athens Digital Arts Festival (ADAF). The research activity was hosted at the new premises of the Museum of Modern Greek Culture, at a specially designed exhibition space. The purpose of this activity was to collect data for methodological testing and for feeding the AI subsystem. The data files derived from the research activities and provided here are:\r\n