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Artificial Intelligence Engagement Questionnaire

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

Hi! My name is Freudly, i am an AI therapist, I will give you an interpretation of the test after you complete it.

08:30

October 2, 2025

October 2, 2025
Material has been updated

October 2, 2025
Material has been published

21,814 views

1,895 completions

1,547 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.

RESULTS YOU CAN ACTUALLY USE

Scale Results
— Explained Clearly

Your scores across each test scale are translated into plain, usable insights. You won’t just get numbers — you’ll learn how your results impact your daily life, emotional state, and overall well-being.

AI-Powered
Interpretation

You’ll receive a structured, clinically-grounded explanation. Our AI analyzes patterns and relationships between scales to provide a coherent interpretation, without exaggerated language.

Statistical
Comparison

See how your results compare to others. Anonymized platform data is used to create a percentile scale, which identifies whether your results are typical.

Practical
Recommendations

You’ll receive clear, actionable guidance tailored to your profile. These easy-to-implement suggestions focus on coping, self-regulation, and realistic next steps.

AI-Powered
Insights

Get insights on behavioral and thought patterns you might not notice on your own. By uncovering subtle connections between your responses, you’ll better understand what may be driving your current results.

Discuss with
an AI Therapist

Clarify, reflect, and explore your results right away. Talk through your experience, ask questions, and explore meanings in a calm, non-diagnostic dialogue.

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Used in 52+ countries

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.

Majority

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.

Majority

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.

Majority

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.

Majority

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.

Majority

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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CLEAR ANSWERS TO COMMON QUESTIONS

Frequently Asked Questions

What does this questionnaire measure?

It assesses engagement with the topic through cognitive, motivational, affective, and behavioral components. Results summarize overall involvement and the pattern across these components.

How long does it take to complete, and how many items are included?

Completion typically takes about 4 minutes. The questionnaire contains 19 items.

How should responses be selected?

Select the option that best matches typical thoughts, feelings, and actions rather than an ideal response. Answer each item based on recent experience and usual behavior.

Is there a correct answer or a passing score?

There are no correct or incorrect answers. Scores reflect degree of engagement and are interpreted relative to the intended use of the assessment.

How are results used?

Results can support research, training needs assessment, and program planning by identifying areas of stronger or weaker engagement. They are not a diagnostic measure and should be interpreted alongside other information when used for decisions.

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.

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