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Interactive Vbot companion-following study: distance and pace preferences, stop review, observation gaps and sensitivity comparisons. Five synthetic examples, English/Portuguese.

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Companion Follow Lab

When following feels right.
Acompanhar no ritmo de cada pessoa.

Checks Node.js 22+ Five scenarios MIT license

Open the interactive study · Abrir estudo em português · Guided walkthrough · Reproduce the examples

Actual workbench screenshot

English · Português

English

Explore distance, pace and pauses in a companion-following study. See what was observed, what needs review and where the evidence is missing.

Research question: How much of a recorded walk matches the participant's chosen preferences?

This is a working, independent software study for a proposed Vbot companion-robotics program. You can run every example without a robot, account, package installation or API key. Physical validation has not been performed.

Explore in one minute

  1. Open A pause to review.
  2. Inspect the chart and the explanation below it. The starting result is 16 s observed · 0 s unknown · 12 s matched.
  3. Adjust a control or select a contrasting example. Download a printable HTML report, a CSV evidence table or the full JSON analysis.

View a portable example report.

The JSON editor is available under Advanced; the main study uses guided controls.

What you can investigate

  • Time-weighted distance, pace and stop observations with explicit unknown intervals.
  • A distance-band chart, review timeline and observed-evidence denominator.
  • Sensitivity to narrower and wider participant-selected distance bands.
  • Quick controls for distance, pace and maximum observation gap.
  • A 16-second steady walk, missing observations and stop-mismatch counterexamples.

All five studies include a responsive English/Portuguese interface, keyboard focus styles, synthetic narrated examples and local report exports. Analysis runs in your browser after the page loads.

Five examples, five questions

Example Question it exposes Reproducible core result
Walk with gaps Too far, a stop mismatch and an unobserved interval. 6 s observed · 6 s unknown · 2 s matched
Steady companion Eight observed intervals and a matched pause. 16 s observed · 0 s unknown · 16 s matched
What was not seen Remove intermediate samples and watch the evidence shrink. 8 s observed · 8 s unknown · 8 s matched
A pause to review The person stopped while the record still reports robot movement. 16 s observed · 0 s unknown · 12 s matched
Different preferences The same walk under narrower distance and pace preferences. 16 s observed · 0 s unknown · 4 s matched

These are deterministic scenario results, not field measurements. Experiment notes distinguish expected regression outputs from independent arithmetic and failure-case tests.

Run locally

Install Node.js 22 or newer. No npm dependencies are required.

git clone https://github.com/galafis/vbot-accessible-follow-lab.git
cd vbot-accessible-follow-lab
npm run serve

Open http://127.0.0.1:8765. The local server binds to your computer only. Stop with Ctrl+C. For another port, use node server.mjs 8766.

npm run check                                  # syntax, domain tests, examples and server checks
node cli.mjs examples/stop-review.json            # core analysis
node study.mjs examples/stop-review.json          # analysis plus derived insights
node cli.mjs examples/baseline.json new-result.json

The CLI refuses to overwrite an existing output file. Exit 1 means invalid input or an I/O failure; review findings are valid analytical outputs and do not change the exit code.

How the study works

flowchart LR
  A[Manual following observations] --> B[Time-weighted intervals]
  B --> C{Observation gap?}
  C -->|Yes| D[Unknown evidence]
  C -->|No| E[Distance, pace and stop review]
  E --> F[Preference comparison]
  D --> G[Timeline and report]
  F --> G
Loading

Method: Time-weighted interval analysis with explicit unknown gaps. The core engine and the insight layer are pure local calculations shared by browser and CLI. Architecture · Domain method · Input contract.

Evidence and scope

Evidence available now Next evidence needed
18 automated tests, five reproducible fixtures and a real interface screenshot Measurements from a specific supplied Vbot unit
Deterministic calculations and explicit counterexamples Repeated permitted exercises with operator observations
Bilingual methods, reports and example inputs Appropriate authorization before institutional or participant studies

A standard Vbot without an open SDK is welcome. The proposed first hardware stage uses native features, the official app and manual observations. Any later programmatic integration is optional and must be permitted by the manufacturer. Native workflow · 90-day study plan.

Project map

src/        Pure domain engine, contracts and derived insights
examples/   Five narrated inputs and reproducible expected outputs
app.mjs     Guided bilingual browser workbench
styles.css  Responsive, printable visual system
cli.mjs     Core analysis from a local JSON file
study.mjs   Complete study from a local JSON file
tests/      Domain, insight, reproduction and HTTP checks
docs/       Walkthrough, experiments, method and study plan

Português

Explore distância, ritmo e pausas num estudo de acompanhamento. Veja o que foi observado, o que merece revisão e onde faltam evidências.

Pergunta do estudo: Quanto do percurso observado corresponde às preferências escolhidas pelo participante?

O projeto está pronto para exploração em software. Os exemplos são fictícios e a validação física ainda depende de uma unidade. Uma unidade comum, sem SDK aberto, é suficiente para iniciar a fase proposta com recursos nativos e observação manual.

Comece por um exemplo concreto

Abra A pausa precisa de revisão. O resultado inicial é 16 s observados · 0 s desconhecidos · 12 s de preferência. Observe o gráfico, mude um parâmetro ou escolha outro cenário. A interface explica os resultados e exporta relatório HTML imprimível, tabela CSV e análise JSON.

Funcionalidades

  • Observações ponderadas pelo tempo, com distância, ritmo, parada e lacunas explícitas.
  • Gráfico da faixa de distância, linha do tempo e denominador de evidência observada.
  • Comparação de faixas mais estreitas ou amplas escolhidas pelo participante.
  • Controles diretos para distância, ritmo e lacuna máxima de observação.
  • Exemplos de 16 segundos de acompanhamento consistente, dados ausentes e paradas desencontradas.

Exemplos disponíveis

Exemplo O que permite examinar Resultado reproduzível
Percurso com lacunas Distância excessiva, parada desencontrada e um intervalo sem observação. 6 s observados · 6 s desconhecidos · 2 s de preferência
Ritmo consistente Oito intervalos observados e uma pausa acompanhada. 16 s observados · 0 s desconhecidos · 16 s de preferência
O que não foi visto Retire observações intermediárias e veja a evidência diminuir. 8 s observados · 8 s desconhecidos · 8 s de preferência
A pausa precisa de revisão A pessoa parou; o registro ainda indica movimento do robô. 16 s observados · 0 s desconhecidos · 12 s de preferência
Preferências diferentes O mesmo percurso sob limites mais estreitos de distância e ritmo. 16 s observados · 0 s desconhecidos · 4 s de preferência

Executar e contribuir

Use os comandos da seção em inglês com Node.js 22 ou superior. Não é necessário instalar pacotes. npm run check executa verificações de sintaxe, testes e reprodução dos cenários. O guia DEMO explica um percurso de exploração; EXPERIMENTS registra os resultados e suas limitações.

Sugestões úteis incluem novos cenários fictícios, cálculos independentes, melhorias de acessibilidade da interface e protocolos de observação autorizados. Veja CONTRIBUTING.

Study collection · Coleção de estudos

01 · Companion Follow Lab · 02 · Portuguese Interaction Bench · 03 · Community Cargo Planner · 04 · Inclusive Encounter Kit · 05 · Community Observation Lab


Created by Gabriel Demetrios Lafis · Applied AI and robotics portfolio

MIT-licensed independent work. Vbot is a third-party brand; this is not an official SDK or an announced Vbot/USP partnership.

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Interactive Vbot companion-following study: distance and pace preferences, stop review, observation gaps and sensitivity comparisons. Five synthetic examples, English/Portuguese.

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