When parents and teachers disagree,the clinical signal begins.

Most tools average conflicting reports. Fosense models how and where they diverge.

Gameplay behavior·
Behavioral phenotype·
Informant reports·
Conflict analysis engine·
Clinical insight

The challenge

Behavioral assessment is built on conflicting observations

In clinical assessment, information rarely agrees.

Parents, teachers, and clinicians often report different pictures of the same child.

Traditional tools either average these differences or ignore them.

But disagreement is not noise.

It is signal.

Our approach

We treat conflict as diagnostic information

Instead of smoothing over disagreement, our system:

Measures behavior directly through gameplay

Builds a multidimensional behavioral phenotype

Maps reports from multiple informants

Identifies and classifies conflicts between them

Clinical example

Impulsivity signal

Impulsivity signal
Contextual conflict detected
Parent report
Low
Teacher report
High
Gameplay behavior
High
Fosense analysis

Behavioral impulsivity emerges in structured environments but is not observed at home.

Fosense gameplay
In Development

Game-Based Assessment

Objective behavioral measurement through gameplay

Short interactive tasks capture thousands of behavioral datapoints. These signals form a behavioral phenotype.

attention variabilityimpulsive respondingreward sensitivitycognitive flexibilitypersistence

Each session produces thousands of behavioral datapoints. These signals form a behavioral phenotype.

Conflict engine

A conflict analysis engine for multi-informant data

Our system identifies and classifies discrepancies between sources.

contextual expression

perception differences

measurement disagreement

informant reliability variation

Instead of hiding disagreement, the system illuminates it.

Clinician output

From raw reports to structured clinical insight

The platform generates:

behavioral phenotype profiles

conflict maps across informants

structured summaries for clinical interpretation

Helping clinicians understand not just what is reported — but how reports diverge.

Why it matters

Toward computational behavioral assessment

Traditional tools measure symptoms.

Our platform models behavioral structure across contexts and observers.

deeper diagnostic understanding

clearer communication between informants

more precise intervention planning

Behavior is complex.

Understanding it requires more than a questionnaire.