BLUETRIX Research
Interaction Field Theory
A conceptual framework for describing how actors, objects, context, signals, constraints and possible actions form an interaction field.
Conceptual status
A conceptual model, not an established theory.
Interaction Field Theory is a conceptual model developed by BLUETRIX. It is not presented as an established or independently scientifically validated theory.
Why a new model
Meaning emerges from context.
the existing relationship
objectives
preceding events
expectations and commitments
possible actions
change in the overall state
Interaction Field
The components of an interaction field.
Actors
People, companies, teams, partners, systems and AI agents.
Objects
Contacts, opportunities, commitments, service requests, tasks and documents.
Context
Relationship, process, channel, time, role, objective and previous progression.
Signals
Intent, activity, sentiment, urgency, relevance, risk and potential.
Constraints
Permissions, rules, deadlines, responsibilities, contracts and technical boundaries.
Possible Actions
Replies, tasks, appointments, handovers, approvals, automations or deliberate non-actions.
State Change
An interaction changes the state.
unknown contact → qualified lead
request → opportunity
promise → commitment
complaint → service request
missing callback → increased risk
response → reduced uncertainty
approval → possible next process step
Analysis
Six analytical questions.
Origin
Where and through what did the interaction arise?
Actors
Who was involved?
Context
Within which context did it take place?
Meaning
What meaning can reasonably be inferred?
Change
What changed observably?
Next
Which action is possible or required?
Relational properties
Relationships change across several dimensions.
Strength
A conceptual dimension whose concrete measurement must be operationalized and tested.
Direction
A conceptual dimension whose concrete measurement must be operationalized and tested.
Time
A conceptual dimension whose concrete measurement must be operationalized and tested.
Continuity
A conceptual dimension whose concrete measurement must be operationalized and tested.
Tension
A conceptual dimension whose concrete measurement must be operationalized and tested.
Potential
A conceptual dimension whose concrete measurement must be operationalized and tested.
Translation into BLUETRIX
From concept to product modeling.
Actors
Contacts, companies, teams, partners, AI agents
Context
Interaction Graph
Time
Interaction Timeline
Signals
Interaction Intelligence and Interaction Score
State Change
Events, statuses and process transitions
Constraints
Roles, permissions and rules
Possible Actions
Recommendations, tasks and automations
This mapping is a product model and does not automatically demonstrate the scientific validity of the theoretical framework.
Working hypotheses
Hypotheses to be tested, not proven.
Hypothesis
Complete context improves handovers
Hypothesis
Response time influences process progress
Hypothesis
Open commitments indicate risk and a need for action
Hypothesis
Shared modeling reduces context loss when channels change
Hypothesis
Specialized AI agents are more controllable than universal agents without a task framework
Hypothesis
Connecting physical and digital touchpoints improves traceability