pith:X6SQH5VV
Does Theory of Mind Improvement Really Benefit Human-AI Interactions? Empirical Findings from Interactive Evaluations
Theory of Mind gains on static benchmarks often fail to improve performance in live human-AI interactions.
arxiv:2605.15205 v1 · 2026-04-28 · cs.AI
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Record completeness
Claims
Improvements on static benchmarks do not always translate to better performance in dynamic HAI interactions.
The chosen interactive tasks and user-study protocol sufficiently represent the first-person, dynamic, open-ended nature of typical human-AI interactions (section on paradigm shift and evaluation setup).
Improvements in LLM Theory of Mind on static benchmarks do not reliably improve performance in dynamic, first-person human-AI interactions across goal-oriented and experience-oriented tasks.
References
Receipt and verification
| First computed | 2026-05-20T00:00:45.990531Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bfa503f6b550220294114bb1854d8c0f29b113f40174ed4eb8bde91362a39616
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/X6SQH5VVKARAFFARJOYYKTMMB4 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: bfa503f6b550220294114bb1854d8c0f29b113f40174ed4eb8bde91362a39616
Canonical record JSON
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