Table 1.

Explanation of the data treatment procedure

Variables	Variable type	Description	Remarks/survey questions
Outcome variable
$\mathrm{Attitude}$	Continuous	The attitude toward the application of EAI in the workplace (“1” strongly disagree/very worried, “5” strongly agree/not worried)	The $\mathit{Attitude}$ variable is first calculated by averaging the answers of three Likert-scale questions, (1) Do you agree that a company manager should use AI/smart algorithms to measure employees’ performances? (2) Do you agree that a company manager should use AI/smart algorithms to screen job applicants? (3) Are you worried about protecting your autonomy at work due to the wider application of AI/smart algorithms?
$\mathrm{Familiarity}$	Continuous	Taking the average of the four questions on the right side (“1” being Not familiar; “5” being Very familiar”)	The variable attitude is calculated by averaging the answers of four Likert-scale questions: (1) How familiar are you with coding/programming? (2) How familiar are you with the topic of EAI? (3) How familiar are you with the concept of smart cities? (4) How familiar are you with the topic of Artificial Intelligence (AI)?
Predictive variable
$\mathrm{SchoolYear}$	Ordinal/continuous	1st, 2nd, 3rd, and 4th year
$\mathrm{Sex}$	Binary	Male (“1”) vs. Female (“0”)	Respondents choose their biological sex
$\mathrm{Income}$	Ordinal/continuous	low (“1”), middle (“2”), and high (“3”)	Self-perceived level of household income
$\mathrm{Major}$	Binary	Social studies (“0”) vs. Business (“1”)	Students are asked to specify their majors
Religions	Binary	Christianity:“1”if identified Islam: “1” if identified Buddhism:“1” if identified Atheism: “1” if identified	Respondents are asked to specify their official religion and the lack thereof. There are very few Jewish and Shintoist respondents; thus they are not included in our analyses
Religiosity	Binary	“1” for the very religious, “0” for the non-religious or mildly religious	Respondents are asked to choose their level of religiosity