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

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: Data that was gathered from a pre-visit questionnaire which was completed by 231 survey participants. The questionnaire explores visitors' motivations for visiting and preferences of a digital arts exhibition, their relationship with digital arts, their mood and attitude before the visit, and certain demographic characteristics. For the purpose of the research, visitors of the Athens Digital Arts Festival who voluntarily participated in the survey were approached. The dataset can be used to analyse various characteristics of museum visitors, such as their motivation to visit, their interests and their relationship with art, in relation to their personal characteristics (gender, age, status). Timing-and-tracking (T) data -more specifically time spent in each exhibit and trajectory- which were extracted from video recordings in the exhibition space. Regular festival visitors were recruited at the entrance of the exhibition area by the research assistants. Participants (N=273) were asked to sign an informed consent form before filling the online anonymous questionnaire and entering the exhibition space. A custom-made software was used to blur their faces during video recording for data anonymization purposes. The tracking data were extracted via BORIS (Behavioral Observation Research Interactive Software), an open-source event logging software for video/audio coding and live observations that is developed by the University of Torino. The datasets can be used to analyse visitors’ behavior in relation to demographic characteristics, their motivations, interests and relation to arts, as well as their pre-visit mood and attitudes. The data file containing both questionnaire data and timing-and-tracking (T) data for a subset of the sample (N=223). This data can be used in combination to analyse the behaviour of museum visitors in relation to their demographic characteristics, motivations for visiting, their preferences and their relationship with digital arts, as well as in relation to their mood and attitude before the visit