Digital Wellness Intervention + Research Platform

Micro-movement breaks for remote workers, built for research

Refreshed is a theory-grounded digital wellness platform that delivers scheduled movement and breathing sessions to work-from-home employees—with context-aware prompting via Apple Watch. Designed from the ground up as configurable research infrastructure.

60s–3m
Movement sessions
6
Daily scheduled slots
WFH
Population focus
The Intervention

What Is Refreshed?

A digital wellness platform designed to interrupt prolonged sedentary behaviour during remote work through brief, guided movement and breathing sessions.

Movement Sessions

60 seconds – 3 minutes | 4× daily

Brief guided exercises targeting circulation, posture, and energy. Desk-friendly movements requiring no equipment—designed around the "micro-break" evidence base for affective and fatigue benefits, progressing toward durations with metabolic benefit.

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. Micro-duration sessions (60s) lower the ability threshold sufficiently that behaviour can occur even at moderate motivation levels—supporting habit formation where longer sessions would fail.

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 Watch Prompts

Apple Watch monitors HealthKit step data. After 45 minutes of inactivity, triggers a sedentary alert with quick exercise option.

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 depends on timing (circadian alignment, sedentary duration), channel (push notification vs watch vs in-app), and context-awareness. The optimal prompt configuration for sustained engagement is an empirical question 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

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. 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 (60-second 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.

Synthesised Architecture: Four Configurable Layers

When
Trigger timing: scheduled slots, sedentary thresholds, user preferences
Kairos, Temporal Motivation Theory
How
Delivery channel: push notifications, watch triggers, in-app availability
Nudge Theory, B=MAP (Prompt)
What
Content: session duration, goal-aligned templates, alternatives
SDT, Fogg (Ability)
Progress
Habit formation: phase unlocks, duration progression, streaks
Habit Loop, Tiny Habits
Hypothesis 4: Progressive Habit Formation

Following Fogg's Tiny Habits methodology, behaviour should be established at minimal scale before increasing demands. The phase progression (Foundation 60s → Expanded 90s → Boost 120s+) hypothesises that users who build consistency with achievable micro-sessions will successfully graduate to longer durations aligned with the metabolic evidence base—rather than plateauing or abandoning the behaviour.

Duration Parameters
60s 90s 120s 180s
Notification Frequency
1/day 2/day 3/day 5/day 8/day
Delivery Channel
Push + Watch Push Only Watch 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, phase progression tracked across all conditions.

Ecological Validity

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

Multi-Design Support

Between-subjects, within-subjects, factorial, and adaptive designs all supported.

Research Agenda

Questions 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 60→90→120 second 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?

Active Research

Current Investigation

In Development

Digital Wellness Interventions for Remote Workers

Doctor of Professional Practice (DProf) | Anglia Ruskin University | 2025–2027

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 minimum effective dose (60s–180s)
3 Prompt timing and contextual delivery strategies

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)

Target Recruitment

~100 participants per treatment condition, recruited 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