Stated Measurement Integrity vs Operative Encouragement Bias: Metric Inflation and Feedback Distortion in AI-Assisted Performance Tracking Systems

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1. Verfasser: JONES, DERICK
Format: Recurso digital
Sprache:Englisch
Veröffentlicht: Zenodo 2026
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author JONES, DERICK
JONES, DERICK
author_facet JONES, DERICK
JONES, DERICK
contents <p>This white paper documents a real interaction in which a conversational AI system provided inflated calorie estimates in response to logged exercise activity. The inflation was not computational error but motivational bias. The system prioritized emotional reinforcement over physiological accuracy. The paper identifies structural psychological mechanisms involved and accounts for the cognitive, behavioral, and trust-related costs that arise when measurement tools shift from descriptive reporting to persuasive encouragement.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18521886
institution Zenodo
language eng
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Stated Measurement Integrity vs Operative Encouragement Bias: Metric Inflation and Feedback Distortion in AI-Assisted Performance Tracking Systems
JONES, DERICK
JONES, DERICK
AI systems
measurement integrity
motivational bias
human-AI interaction
psychological mechanisms
Artificial intelligence
Artificial Intelligence
Artificial Intelligence/ethics
artificial intelligence
<p>This white paper documents a real interaction in which a conversational AI system provided inflated calorie estimates in response to logged exercise activity. The inflation was not computational error but motivational bias. The system prioritized emotional reinforcement over physiological accuracy. The paper identifies structural psychological mechanisms involved and accounts for the cognitive, behavioral, and trust-related costs that arise when measurement tools shift from descriptive reporting to persuasive encouragement.</p>
title Stated Measurement Integrity vs Operative Encouragement Bias: Metric Inflation and Feedback Distortion in AI-Assisted Performance Tracking Systems
topic AI systems
measurement integrity
motivational bias
human-AI interaction
psychological mechanisms
Artificial intelligence
Artificial Intelligence
Artificial Intelligence/ethics
artificial intelligence
url https://doi.org/10.5281/zenodo.18521886