Research Infrastructure

An Experimental Platform for Studying Micro-Activity Interventions in Real-World Work Environments

Refreshed combines wearable sensing, behavioural prompts, and real-world data collection to support research into sedentary behaviour and micro-movement interventions for distributed remote workers.

Part of an ongoing doctoral research programme (DProf, 2025–2028).

90s–5m
Progressive session duration
6
Daily scheduled slots
WFH
Population focus
Platform Architecture

End-to-End Research Pipeline

From wearable motion sensing through to structured research datasets — all in real time

Wearable Sensor
Motion & activity data
Movement Detection
Real-time activity classification
Sedentary Engine
Episode detection & thresholds
Prompt Delivery
Context-aware behavioural prompts
Activity Verification
Objective movement confirmation
Research Dataset
Structured, exportable data
The Intervention

What Is Refreshed?

A digital intervention platform designed to interrupt prolonged sedentary behaviour during remote work through brief, guided movement and breathing sessions. Refreshed is designed as an experimental intervention platform rather than a fixed wellness programme—every parameter is configurable for research.

Movement Sessions

90 seconds → 5 minutes | 3× → 6× daily

Brief guided exercises targeting circulation, posture, and energy. Desk-friendly movements requiring no equipment—starting with achievable micro-sessions to establish habit, then progressively extending toward durations with stronger metabolic evidence.

Calf raises Standing twists Shoulder rolls Marching

Breathing Sessions

2, 3, or 5 minutes | 2× daily

Evidence-based breathing patterns for stress management and recovery. Timed to natural energy dips (mid-morning, mid-afternoon) based on circadian research.

Cyclic sighing Box breathing Coherent breathing
Hypothesis 1: Ability

In B=MAP terms, when motivation fluctuates (as it does throughout a workday), behaviour depends on Ability. Starting with achievable 90-second sessions lowers the ability threshold sufficiently that behaviour can occur even at moderate motivation levels—building consistency before progressively extending duration toward the metabolic evidence base.

Multi-Channel Delivery

Scheduled Push Notifications

Web push at key daily moments (e.g. 09:00, 11:30, 14:00). Maximum starts at 3/day to avoid notification fatigue.

Context-Aware Wearable Prompts

An optional dedicated wearable motion sensor continuously monitors activity levels. After configurable periods of inactivity, it triggers context-aware sedentary alerts. The same sensor objectively verifies whether movement actually occurred after prompting — closing the gap between self-reported and actual behaviour. The core platform functions independently; the wearable adds an objective measurement layer.

On-Demand Web App

Full schedule visible in-app. Users can start sessions proactively, choose alternatives, or access breathing exercises anytime.

Hypothesis 2: Prompt Effectiveness

In B=MAP, behaviour requires a prompt that arrives when motivation and ability are sufficient. Prompt effectiveness is expected to vary with delivery timing (time of day and length of uninterrupted sitting), delivery channel (push notification, wearable, or in-app), and contextual relevance. Determining which combinations of timing and channel maximise sustained engagement is an empirical question that this platform is designed to answer.

Default Daily Schedule

Aligned to work rhythms, circadian patterns, and prolonged sitting research

09:00 Movement PUSH
10:30 Breathing PULL
11:30 Movement PUSH Circulation
14:00 Movement PUSH Circulation
15:30 Breathing PULL
16:30 Movement PULL
Research Agenda

Questions We Are Looking To Answer

The platform enables investigation of implementation questions that fixed interventions cannot address.

Parameter Optimisation

What is the optimal notification frequency?

Does 3/day outperform 5/day? At what point does frequency become counterproductive? Does this vary by user characteristics?

Parameter Optimisation

Is there a minimum effective dose?

At what session duration does completion rate begin to decline? Does this threshold change as habits strengthen?

Mechanism Testing

Does context-aware prompting outperform scheduling?

Do sedentary-threshold triggers achieve better outcomes than fixed clock-based prompts?

Mechanism Testing

Do users successfully progress through phases?

Does the 90s→3m→5m progression work, or do users plateau at Foundation?

Population Research

Do optimal parameters differ by engagement level?

Are high-engagement users better served by different configurations than low-engagement users?

Population Research

What predicts successful engagement?

Which baseline characteristics predict sustained participation and phase progression?

The Health Problem

Prolonged sedentary behaviour is an independent risk factor for cardiovascular disease, type 2 diabetes, and premature mortality—even among people who exercise regularly (Dunstan et al., 2012). The issue isn't lack of physical activity; it's uninterrupted sitting during the workday. Brief, regular movement breaks can mitigate these risks, but the behaviour must actually occur.

The WFH Context

Working from home is consistently associated with increased sedentary exposure—particularly through longer uninterrupted sitting bouts. Accelerometer studies show WFH days involve 30–90 minutes more sitting than office days, even when exercise levels are maintained.

The mechanisms are environmental, not motivational. Office environments embed natural movement prompts: walking to meetings, spatial separation of resources, social interruptions. WFH removes these prompts, shifting behaviour from automatic to reflective control.

"Available evidence suggests the primary constraint isn't motivation—remote workers who maintain exercise habits still accumulate more sedentary time. The more parsimonious explanation: the environmental prompts that previously triggered incidental movement have been removed."

The Implementation Gap

Digital interventions can reduce sedentary behaviour—systematic reviews demonstrate short-term effectiveness. But sustained engagement remains inconsistent, and high attrition is widely reported. The evidence for movement breaks exists. What remains less understood is how to design digital solutions that effectively prompt and sustain the behaviour.

Why WFH Increases Sedentary Behaviour

Office Environment

  • Walk to meeting rooms
  • Commute (standing, walking)
  • Coffee point visits
  • Colleague interruptions
  • Stair use

Home Environment

  • Video calls from desk
  • Zero commute
  • Kitchen 3 metres away
  • Uninterrupted work blocks
  • Single-floor living
Hypothesis 3: Opportunity

In COM-B terms, WFH reduces physical and social Opportunity for movement. If sedentary behaviour persists primarily due to opportunity constraints rather than motivation deficits, then restoring structured opportunities through scheduled intervention should achieve behaviour change—even without targeting motivation directly.

Theoretical Foundation

Multi-Theory Integration

Refreshed synthesises multiple behaviour change frameworks into a coherent intervention architecture—not eclectically assembling features, but systematically operationalising principles with attention to tensions between frameworks.

Fogg Behaviour Model

B = M × A × P

Behaviour occurs when motivation, ability, and prompt converge. We maximise ability through friction reduction and deliver prompts at moments of elevated motivation.

Habit Loop

Cue → Routine → Reward

Clear's four laws operationalised: make it obvious (scheduled prompts), attractive (positive framing), easy (brief sessions), and satisfying (immediate feedback).

COM-B Model

C + O + M → B

Capability through guided instruction, opportunity through prompt restoration, motivation through reinforcement. All three determinants systematically addressed.

Integrated Design Approach

These frameworks are synthesised into a configurable intervention architecture — informing prompt timing, delivery channel selection, session design, and habit formation strategies. The platform allows researchers to test how different theory-informed configurations influence sedentary behaviour and micro-activity adoption.

Hypothesis 4: Progressive Habit Formation

Following Fogg's Tiny Habits methodology, behaviour should be established at achievable scale before increasing demands. The phase progression (Foundation 90s → Expanded 2–3m → Boost 3–5m) hypothesises that users who build consistency with brief sessions will successfully graduate to longer durations aligned with the metabolic evidence base—rather than plateauing or abandoning the behaviour.

Duration Parameters
90s 120s 180s 300s
Notification Frequency
1/day 2/day 3/day 5/day 8/day
Delivery Channel
Push + Wearable Push Only Wearable Only
Sedentary Threshold
30 min 45 min 60 min 90 min
Phase Progression
Foundation → Expanded → Boost

An Experimental Platform, Not a Fixed Intervention

Refreshed separates configurable parameters from core functionality, enabling controlled comparison of different configurations while maintaining consistent measurement infrastructure.

Parameter Independence

Each parameter can be varied independently or in combination for factorial designs.

Consistent Measurement

Session completion, engagement patterns, and phase progression tracked across all conditions.

Real-Time Monitoring

All data streams live — device pairing, sensor activity, prompt delivery, and participant responses visible as they happen. Identify disengaging participants early and intervene before data is lost.

Objective Activity Verification

The wearable sensor confirms whether movement actually occurred after a prompt — ground-truth adherence data without reliance on self-report.

Ecological Validity

Research conducted through a functioning platform used in real-world WFH conditions.

Multi-Design Support

Architecture supports between-subjects, within-subjects, and factorial designs.

Randomisation Without Disruption

The schedule stays stable; delivery parameters vary. Users build habits while researchers estimate causal effects.

Active Research

Current Investigation

In Development

Digital Wellness Interventions for Remote Workers

Doctor of Professional Practice (DProf) | 2025–2028

This research will investigate how specific design parameters—informed by behaviour change theory—affect engagement and habit formation in micro-movement interventions for distributed remote workers.

While the effectiveness of behaviour change techniques and JITAIs is established, the optimal translation of these principles into specific design decisions for this growing population remains under-researched. This practice-based inquiry will address this gap through controlled experimentation, generating ecologically valid, practitioner-relevant design principles.

Priority Research Parameters (Candidates)

1 Notification frequency optimisation (e.g., 3 vs 5 vs 8 daily)
2 Session duration and progressive extension (90s → 3–5 mins)
3 Prompt timing and contextual delivery strategies

Main study commencing summer 2026. Final experimental design and parameters to be confirmed following ethics approval and pilot testing.

Research Focus: Implementation, Not Health Outcomes

This doctoral research investigates behaviour change implementation—which design parameters make digital interventions effective, for whom, and under what conditions. The research questions concern notification timing, session duration, prompt channels, and habit formation trajectories, not physiological or clinical outcomes.

Population Focus

Remote & hybrid knowledge workers (WFH 2+ days/week)

Recruitment

Via B2B partnerships and academic collaborations

Primary Outcomes

Engagement metrics, session completion, phase progression, retention

Contribution

Implementation knowledge: evidence-informed design principles for digital health practitioners

Get Involved

Research Collaboration

Refreshed is currently available for pilot collaborations with academic researchers interested in studying sedentary behaviour and micro-activity interventions in real-world work environments.

  • Access to the Refreshed configurable research platform
  • A small number of custom wearable motion-sensing devices for objective activity measurement
  • Onboarding support, study configuration, and structured data export
  • Flexible study designs: between-subjects, within-subjects, and factorial
Get in Touch

Ideal For

Researchers studying sedentary behaviour, workplace wellness, digital health interventions, behaviour change, or wearable-prompted activity

Wearable Device

A purpose-built motion sensor providing real-time activity classification, sedentary episode detection, and post-prompt movement verification — objective evidence of whether participants actually moved, not just whether they tapped a button.

Data Access

Session completions, engagement patterns, prompt response rates, phase progression, and wearable sensor data — all streaming in real time and exportable for analysis. Monitor participant adherence as the study runs, not after it ends.

Current Status

Core platform built. Experimentation infrastructure under active development. Wearable sensors V1 ready. Main study commencing summer 2026. Doctoral research (DProf, 2025–2028).