PWR-172 · Empathy, Social Cognition & Trust

Social signal detection

Social signals can be learned, but no face, gaze or voice gives a universal readout of emotion, truth or intent.

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Revision 7T · Full Tutorial Edition · Release manifest · Methodology · Corrections

One source of teaching truth

Canonical Power learning unit · TLU-PWR-172

The learner separates signal from interpretation, uses a declared label set and base rate, calculates misses and false alarms, and chooses a reversible response.

Canonical Power page
PWR-172 · Social signal detection
Full tutorial
Open full tutorial
Practical authority
The tutorial teaches recognition, prevention and safe response; the prohibited act is excluded.
Current treatment
Full safety and decision tutorial
Research depth
detailed · 5 bound sources
Risk framing
high
Capability self-practice
Safe response and decision method only; prohibited act excluded
Pathway membership
G-CUR-019

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Explanation is not permission.

This dossier explains the evidence and its limits. It is not a diagnosis, personal recommendation, assessment, clearance, performance promise or training programme. Actionable teaching appears only when the canonical Power record explicitly authorises it.

Complete bounded explanation

What this power means.

Capability to develop or express social signal detection in a declared context without inheriting broader claims.

What the current evidence supports

Recognition of selected social signals can improve in bounded clinical tasks, but cues are not culturally universal or direct windows into inner state.

How to observe or measure it without overclaiming

Declare signal channel, culture, target labels, base rates, misses, false alarms, uncertainty, context and correction; cue classification is not emotion, intent or veracity.

Myth

Decode every face and catch every lie

Metric

Sensitivity, specificity and target-corrected classification for a declared signal set

Boundary

Signal accuracy cannot establish private emotion, deception, diagnosis or intent.

Negative and limiting findings

  • The online social-cognition programme did not beat active control on primary interaction tests.
  • Truth–lie judgments stayed only slightly better than chance across response formats.

Claims this evidence cannot support

  • read body language perfectly
  • spot every lie
  • universal microexpression decoder
  • emotion recognition proves intent
  • AI reads your mood

Individual tutorial · FULL RESTRICTED TUTORIAL

How to learn this Power now.

The learner separates signal from interpretation, uses a declared label set and base rate, calculates misses and false alarms, and chooses a reversible response.

  1. Get readyUse only fictional or consented training material with protected characteristics removed.
  2. Learn the method8 concrete steps teach the permitted method from start to finish.
  3. See right and wrong4 comparisons show correct or safer execution beside common wrong or riskier choices.
  4. PractiseUse one 20-case fictional set weekly for three weeks, changing the explicit signal and recalculating denominators each time. Progress only if both misses and false alarms are reported and every uncertain real-life response stays neutral and reversible.
  5. Check progressFictional scoring case: A fictional set contains 20 short video descriptions: five show a declared “request to pause” signal and 15 do not. Culture and protected characteristics are removed, and an answer key defines the target. Preserve “Name the permitted target”, the evidence from “Open the answer key”, the reversible action and Sensitivity, specificity and target-corrected classification for a declared signal set. No real person supplies the label.

Authority boundary: Titan teaches recognition, prevention, safe response and accountable routing without teaching the prohibited act. The method is Power-specific; its actionability follows this treatment.

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Related Powers: PWR-169 · PWR-170 · PWR-171 · PWR-173

Direct evidence register

Sources that support—and limit—the claim.

Citation roles are explicit. A source may support existence or trainability while simultaneously limiting transfer, certainty, generalisation or safety.

  1. Primary empirical supportLimiting / contrary
    A randomized controlled trial of training of affect recognition in schizophrenia shows lasting effects for theory of mind

    Anja Vaskinn; André Løvgren; Maj K. Egeland; Frida K. Feyer; Tiril Østefjells; Ole A. Andreassen; Ingrid Melle; Kjetil Sundet · 2019 · Primary research

  2. Primary empirical supportLimiting / contrary
    The Social and Cognitive Online Training (SCOT) project: A digital randomized controlled trial to promote socio-cognitive well-being in older adults

    Giulia Funghi; Claudia Meli; Arianna Cavagna; Lisa Bisoffi; Francesca Zappini; Costanza Papagno; Alessandra Dodich · 2024 · Primary research

  3. Primary empirical supportLimiting / contrary
    Facial expressions of emotion are not culturally universal

    Rachael E. Jack; Oliver G. B. Garrod; Hui Yu; Roberto Caldara; Philippe G. Schyns · 2012 · Primary research

  4. Primary empirical supportLimiting / contrary
    Assessing Deception Detection Accuracy with Dichotomous Truth–Lie Judgments and Continuous Scaling: Are People Really More Accurate When Honesty Is Scaled?

    Timothy R. Levine; Allison S. Shaw; Hillary Shulman · 2010 · Primary research

  5. Limiting / contraryOfficial boundary context
    Employment practices and data protection: monitoring workers

    Information Commissioner’s Office · 2023 · Official authority

Current teaching and evidence boundary

The next gate remains visible.

External confirmation is required before higher-authority use because: a clinical, high-risk or regulated configuration.

A Power-specific tutorial is available at /tutorials/pwr-172/. It contains a plain-English method, 8 ordered steps, a worked example, right-versus-wrong comparisons, specific mistakes and corrections, practice, measurement, accessibility, stopping rules and evidence. Its restricted mode remains controlling.