Transform how you approach AI companion products by mastering the psychology of human-AI trust. You'll apply anthropomorphism concepts to categorize the human qualities users attribute to AI—classifying signals as warmth-related or competence-related to build actionable user profiles. You'll master the two-question warmth-and-competence survey that captures how users perceive your AI, rooted in decades of social psychology research. And you'll apply threshold-based decision rules that transform passive data collection into proactive user protection.
Build Trustworthy AI: Measure Human Connection
Build Trustworthy AI: Measure Human Connection
This course is part of multiple programs.
Instructors: Coursera Support
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Beginner level
Recommended experience
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Recogniz users form human-like attachments to AI companions.
Measure perceived warmth and competence using a standardized survey.
Determine the low trust scores require escalation to human support.
Details to know
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Recently updated!
March 2026
Assessments
1 assignment
Taught in English
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There are 2 modules in this course
Apply the psychology of anthropomorphism to real AI companion interactions—categorizing the human-like qualities users attribute to chatbots and classifying each signal as warmth-related or competence-related. You'll use the Anthropomorphism Identification Worksheet to document findings from chat transcripts and connect those signals to the survey instrument you'll administer.
What's included
4 videos1 reading
Master the complete workflow from administering the warmth-competence survey to making threshold-based escalation decisions. Learn why an average score below 4 signals the need for human outreach, and how to flag accounts appropriately in your Dashboard. You'll practice the full cycle: send survey, record results, evaluate against threshold, and document escalation decisions.
What's included
3 videos2 readings1 assignment
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