HRI researchProtocol review

Human robot interaction movement tracking for proxemics and task studies

Synchronize human movement measures with robot state and task events for human-robot interaction and social robotics research.

Clinical researchLongitudinal studiesLab captureHuman factors
Research participant interacting with a robot while movement, gaze, and proxemic measures are reviewed.
Study measures

What the camera can measure

These outputs are designed for study comparison, rater review, and statistical analysis. They are not diagnostic claims.

Proxemic distance

participant position relative to robot or target area

Gesture timing

arm/hand movement after robot or researcher prompt

Orientation event

head, trunk, or gaze-direction proxy toward robot or object

Robot-state alignment

movement event timestamp matched to robot log state

Study setup

Build the task around your protocol

ConductVision works best when the task, camera setup, annotations, and export fields are defined before the first participant visit.

Task presets

  • approach distance
  • gesture response
  • shared task
  • turn-taking
  • robot-assisted instruction

Researcher annotations

  • robot state
  • task prompt
  • interaction phase
  • safety zone
  • rater note

Export fields

  • proxemic distance
  • gesture timing
  • orientation events
  • task phases
  • robot-state alignment

Camera setup

Wide lab view with participant, robot, target objects, and safety boundary visible.

Outcome table

Metrics, video signals, and comparators

Metric
Proxemic distance
Video signal
participant position relative to robot or target area
Interpretation
spacing behavior during interaction
Comparator
HRI proxemics coding
Gesture timing
Video signal
arm/hand movement after robot or researcher prompt
Interpretation
response timing and interaction flow
Comparator
interaction coding scheme
Orientation event
Video signal
head, trunk, or gaze-direction proxy toward robot or object
Interpretation
attention and engagement context
Comparator
video-coded attention event
Robot-state alignment
Video signal
movement event timestamp matched to robot log state
Interpretation
human response within the interaction sequence
Comparator
robot telemetry and task log

What is established

Human-robot interaction research often analyzes proxemics, gesture, attention, timing, and synchronized robot-state data.

What ConductVision quantifies

ConductVision measures visible human movement and event timing that can be aligned to robot logs and rater coding.

What still needs validation

Engagement interpretation, safety conclusions, and social-behavior labels require study-specific coding rules and review.

Data export

Reviewable data for analysis teams

Exports are built for study notebooks, statistical analysis, and rater review. The video remains available for audit when the protocol allows it.

CSV task summary by participant, visit, and session
Frame-level landmark coordinates with confidence values
Event timestamps for starts, stops, repetitions, pauses, and task phases
JSON review files for overlays, researcher notes, and audit history
Evidence

Scientific context for the task family

These links point to the measurement areas researchers commonly use when validating a protocol.

Research-use measurement note

ConductVision outputs are research-use measurements unless a customer has completed their own clinical validation, regulatory review, and intended-use controls. The study team remains responsible for consent, privacy, camera calibration, rater review, and clinical interpretation.

Talk to a human movement specialist

Bring human-robot interaction into a real study protocol

Share the task, participant population, camera constraints, and outcomes you need to compare. We will help map what can be measured and what needs validation.