HR.RESEARCH / IMMERSIVE LEARNING

05 / FROM INDUSTRIAL SYSTEM TO RESEARCH INSTRUMENT

Build independence, not prompt dependence.

Adaptive guidance in industrial VR training — a research extension grounded in Hari-developed VRJ.

Existing VRJ + new browser policyVR integration of fading: planned · Learner evaluation: not conducted
Illustrative stage1 / 6Simplified policy task, not cable-jointing instruction
Instruction supportFullSuccess-based rule, not an estimate of mastery
Recorded errors0From your choices in this browser session
Help requests0Not a measure of learning by itself

Check the workspace

Try the choices below. Two consecutive successes reduce full prompts; four reduce support to on-request.

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Current instruction

Confirm the workspace is ready

Safety information is never faded. This simplified browser task is not a field procedure, qualification, or instruction for work on electrical equipment.

An inspectable support policy

A deterministic rule makes the experimental manipulation reproducible.

  1. 01 / Full prompt

    Fewer than two consecutive successful actions: display the complete instruction.

  2. 02 / Brief cue

    Two or three successes: retain a short cue instead of the complete instruction.

  3. 03 / On request

    Four or more successes: withhold automatic instruction. Help remains available.

Errors and help reset the success streak. Independent mode disables automatic prompts. Safety information is always retained. The browser represents instruction levels as text; it does not modify VRJ audio.

Inspect this session’s event trace (0)

No actions recorded yet.

The existing industrial foundation

VRJ — developed by Hari Ragavan, not a newly invented portfolio concept.

Existing VRJ footage · 05:46 · Silent recording. The source contains voice playback even though this recording has no audio track.

View the full VRJ project description ↗

What is built, and what is next

Existing VRJ
Unity/C# procedural interactions, visual and voice instructions, multiple training and assessment modules, plus a companion admin dashboard with progress, results, feedback and reports.
Built here
Fixed/adaptive policy comparison, error and help recovery, independent-mode representation, and an exportable interaction trace.
Next engineering step
Connect the proposed policy to VRJ’s instruction/audio controllers and validated step events. Add explicit help and error telemetry without changing the established procedure or assessment rubric.
Not claimed
No participant study, retention advantage, real-world transfer, or adaptive-policy deployment in VRJ.

A study that could answer the question

Proposed protocol — not results from a study already conducted.

Compare fairly

Randomly assign fixed or adaptive guidance for the same procedure, practice exposure and rubric. Record prior experience. If using a within-person design, counterbalance equivalent procedures to limit carry-over.

Measure independence

Use procedural errors in a delayed unguided assessment as the primary outcome. Also record help, time, omissions and safety-critical mistakes. Fewer help requests alone do not prove learning.

Respect the boundary

Obtain consent and appropriate ethics approval before collecting learner data. Physical transfer needs a supervised, de-energised mock-up; VR completion does not establish professional competence.

Research precedent: Aoyagi et al. (2019), fading feedback and motor retention. That task differs from cable jointing; it motivates testing, not assuming transfer.