Digital Art and Artificial Intelligence

Observation guide. Observation by a member of the research team will examine how participants use the App, in order to document usage behaviors and difficulties encountered.

Semi-structured interview. The characteristics of these interviews are as follows:

Format: The interviews are conducted with the participant and one or two members of the principal researcher's team.

Interview guide: A structured guide is used to organize, standardize, and systematize the collection of information. This guide covers the following topics: impressions of the App (design, aesthetics, usability); participant's digital skills and abilities (integration and understanding of the tool); ease of interaction, enablers and barriers; impressions of AI in general; expectations, needs, and interests in such an App.

Recording: With the participants' consent, the interviews are audio-recorded. The recording will be done using Audacity software, with the aim of producing a verbatim transcript for data analysis.

Duration: 30 minutes.

Semi-structured interview. The characteristics of these interviews are as follows:

Format: The interviews are conducted with the participant and one or two members of the principal researcher's team.

Interview guide: A structured guide is used to organize, standardize, and systematize the collection of information. This guide covers the following topics: impressions of the App (design, aesthetics, usability); participant's digital skills and abilities (integration and understanding of the tool); ease of interaction, enablers and barriers; impressions of AI in general; expectations, needs, and interests in such an App.

Recording: With the participants' consent, the interviews are audio-recorded. The recording will be done using Audacity software, with the aim of producing a verbatim transcript for data analysis.

Duration: 30 minutes.

Semi-structured interview. The characteristics of these interviews are as follows:

Format: The interviews are conducted with the participant and one or two members of the principal researcher's team.

Interview guide: A structured guide is used to organize, standardize, and systematize the collection of information. This guide covers the following topics: impressions of the App (design, aesthetics, usability); participant's digital skills and abilities (integration and understanding of the tool); ease of interaction, enablers and barriers; impressions of AI in general; expectations, needs, and interests in such an App.

Recording: With the participants' consent, the interviews are audio-recorded. The recording will be done using Audacity software, with the aim of producing a verbatim transcript for data analysis.

Duration: 30 minutes.

A sociodemographic questionnaire is administered before using the App. This data is collected by a member of the principal researcher's (PR) team. It includes:

Date of birth Sex and gender Ethnicity Native language Level of education Professional activity (past or current) or field of study Income level.

The Vienna Art Interest and Art Knowledge scale (VAIAK). The VAIAK is a psychometric scale developed to assess two main aspects related to art: personal interest in art and level of artistic knowledge. Due to the complexity of the scale and the number of questions, we will only use the part of the scale that evaluates interest in art. This part of the scale measures a person's interest and engagement with art. It includes aspects such as the frequency of museum visits, interest in different forms of art, and personal involvement in artistic activities. This section is divided into two subscales: the first asks, in 8 questions, to define the personal importance given to art and the enjoyment derived from these experiences on a 7-point scale ranging from "not at all" to "extremely." The second asks, in 4 questions, to define the frequency of interactions with art on a 7-point scale ranging from "less than once a year" to "once a week or more."

The Music Engagement Questionnaire (MusEQ). The MusEQ is used to explore the benefits of musical engagement in terms of cognitive and emotional regulation, active production, social connection, and physical exercise. This scale contains 32 questions that the participant answers using a 5-point Likert scale. These questions are divided into 6 subscales, which assess: 1) daily behavior related to music, 2) emotions, 3) practice, 4) consumption, 5) behavior, and 6) preferences. The scores for each subscale are calculated based on a combination of the responses.

The Climate Change Anxiety Scale (CCAS): developed by Clayton & Karaszia, this climate change anxiety scale measures the emotional response to climate change through 22 items. It includes four subscales: cognitive and emotional impairment, functional impairment, personal experience of climate change, and behavioral engagement. Each item is rated on a 5-point Likert scale ranging from "Never" to "Almost always," scoring from 0 to 4 points for a total score between 0 and 88. The higher the score, the greater the level of eco-anxiety. A low score indicates relatively low anxiety related to climate change. The thresholds used in this project are: 0 to 22: low anxiety, 23 to 44: moderate anxiety, 45 to 66: high anxiety, and 67 to 88: very high anxiety.

The Hogg Eco-Anxiety Scale (HEAS-13): developed by Hogg, this 13-item scale measures anxiety in response to environmental issues and the climate crisis, approaching eco-anxiety from an ecological perspective. Each item is rated on a 4-point Likert scale ranging from "Never" to "Almost every day," scoring from 0 to 3 points for a total score between 0 and 39. A low score indicates relatively low anxiety related to ecological issues. The thresholds used in this project are: 0 to 12: low anxiety, 13 to 25: moderate anxiety, and 26 to 39: high anxiety.