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Artificial Intelligence Engagement Questionnaire3

Artificial Intelligence Engagement Questionnaire Test

Learn how engaged someone is with this field across thoughts, feelings, drive, and actions in about 4 minutes. With 19 items, it delivers a fast, structured readout to guide training, hiring, or program support.

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Questions: 194 minutes

08:30

October 2, 2025

October 2, 2025
Material has been updated

October 2, 2025
Material has been published

25,048 views

2,186 completions

1,795 likes

Verified by Daniel Hall

Psychologist with 25 years of experience

Scale Explorer

How the Scales are Structured

example score

5/9

Behavioral (B)

Measures how actively a person engages through practical participation and actions in the domain.

Low

Moderate

High

0 – 4: Low | 5 – 6: Moderate | 7 – 9: High

A score of 5 indicates a moderate level of practical involvement, suggesting some active participation with room for more consistent action.

example score

2/9

Affective (A)

Measures the intensity and valence of emotional involvement with the field and related topics.

Low

Moderate

High

0 – 3: Low | 4 – 6: Moderate | 7 – 9: High

A score of 2 falls in the Low range, suggesting a relatively neutral or weak positive emotional response and limited felt interest in the field.

example score

5/9

Motivational (M)

Assesses intrinsic motivation to learn about and engage with the topic addressed by the questionnaire.

Low

Moderate

High

0 – 4: Low | 5 – 6: Moderate | 7 – 9: High

A score of 5 indicates a moderate level of motivational engagement, suggesting a steady but not strongly driven interest in learning and involvement.

example score

5/9

Cognitive (C)

Assesses the extent of a person’s knowledge and awareness in the assessed technological domain.

Low

Moderate

High

0 – 3: Low | 4 – 6: Moderate | 7 – 9: High

A score of 5 indicates a moderate level of knowledge and awareness, suggesting some familiarity with the topic alongside clear areas for further learning.

example score

4/9

Artificial Intelligence Engagement (AIE)

Measures overall engagement with the topic, including interest, motivation, emotions, and related actions.

Low engagement

Average engagement

High engagement

0 – 3: Low engagement | 4 – 6: Average engagement | 7 – 9: High engagement

A score of 4 indicates an average level of engagement, suggesting a typical degree of interest and involvement compared with general norms.

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DATA-BASED USER COHORTS

Who Usually Takes This Test?

Students and early-career learners

41%OF USERS

People exploring a future study or career path who want to understand how strongly they think about, feel about, and act on this topic.

Workforce upskilling candidates

34%OF USERS

Employees and job seekers checking whether their motivation and day-to-day behaviors match the demands of new technology-driven roles.

Researchers and educators

25%OF USERS

Specialists who need a quick, structured snapshot of engagement levels in a group to guide teaching, training, or studies.

BASED ON AGGREGATED, ANONYMIZED DATA FROM TENS OF THOUSANDS OF FREUDLY USERS.

Benchmarking

See How You Compare

Once you complete the test, your results are compared with real-world data from people in your country.
Below is a preview of how scores are typically distributed across each scale.

Behavioral (B)

Average

5.3

Normal range

4.2 — 6.5

min.

max.

This curve shows how scores are typically distributed.
Once you complete the test, your result will appear on the scale so you can see how you compare.

Affective (A)

Average

2.3

Normal range

0.7 — 3.9

min.

max.

This curve shows how scores are typically distributed.
Once you complete the test, your result will appear on the scale so you can see how you compare.

Motivational (M)

Average

2.6

Normal range

1.4 — 3.7

min.

max.

This curve shows how scores are typically distributed.
Once you complete the test, your result will appear on the scale so you can see how you compare.

Cognitive (C)

Average

6.6

Normal range

5 — 8.2

min.

max.

This curve shows how scores are typically distributed.
Once you complete the test, your result will appear on the scale so you can see how you compare.

Scale of Engagement in the Field of Artificial Intelligence (SoEitFoAI)

Average

Normal range

4.3 — 7.6

min.

max.

This curve shows how scores are typically distributed.
Once you complete the test, your result will appear on the scale so you can see how you compare.

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SAMPLE QUESTIONS

Example Questions From the Test

- Strongly disagree
- Mostly disagree
- Somewhat disagree
- Neither agree nor disagree (unsure)
- Somewhat agree
- Mostly agree
- Strongly agree
- Strongly disagree
- Mostly disagree
- Somewhat disagree rather than agree
- Cannot decide (difficult to answer)
- Somewhat agree rather than disagree
- Mostly agree
- Strongly agree
- Strongly disagree
- Mostly disagree
- Somewhat disagree
- Neither agree nor disagree
- Somewhat agree
- Mostly agree
- Strongly agree

These are 3 of the 19 real questions — the rest appear in the test. No sign-up needed to start.

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WHAT THE TEST MEASURES

About This Assessment

Questionnaire on Engagement in the Field of Artificial Intelligence Test

Artificial Intelligence Engagement Questionnaire Test - Symptoms and Signs

cyberpsychology

This measure is designed to provide a brief self-report snapshot of an individual’s involvement with artificial intelligence; the Artificial Intelligence Engagement Questionnaire is intended for use in research or applied screening contexts. It assesses perceived engagement across multiple facets (e.g., cognitive, motivational, affective, and behavioral components) based on endorsed statements.

The instrument includes 19 items and typically requires about 4 minutes to complete. Response patterns can be used to characterize the breadth and intensity of engagement and to support group-level comparisons or exploratory individual profiling, as appropriate to the setting and available norms.

The Artificial Intelligence Engagement Questionnaire has been attributed to Fred D. Davis and Viswanath Venkatesh in the provided source information. Interpretation should consider the respondent’s context (e.g., role demands, exposure, and access to AI tools) and should not be treated as a diagnostic indicator of psychopathology.

Author: Fred D. Davis, Viswanath Venkatesh

Literature: Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. User acceptance of information technology: Toward a unified view. MIS Quarterly. 2003.