Abstract
From the beginning, Petalz Mosaic has been developed as an evidence-informed digital platform designed to support emotional connection and reduce barriers to engagement among digitally excluded populations.
The implications extend beyond digital engagement. Social isolation has been identified as a significant risk factor for adverse health outcomes, while sustained connection to familiar people and experiences is associated with improved well-being. Developing systems that can reliably deliver this connection without requiring technical ability represents a critical and underexplored opportunity.
The system we continue to develop is grounded in the hypothesis that reducing interaction complexity while increasing the frequency and emotional relevance of content exposure may influence observable engagement patterns and mood-related behaviors over time.
Rather than relying on conventional interaction models that have clearly failed specific demographics, Petalz investigates paradigms of passive and ambient engagement, where meaningful content can be delivered without requiring active user navigation.
Observed Behavioral Patterns Informing Design
The Petalz platform has been informed by ongoing observation and real-world usage patterns across family communication contexts.
- Reduced interaction effort is associated with increased participation among certain demographics who face obstacles to digital engagement.
- Passive exposure to familiar, emotionally relevant content may sustain attention more effectively than active browsing.
- Recency and relational proximity appear to influence content engagement. Put simply, seeing regular updates from familiar people and moments helps individuals stay aware, engaged, and connected to their world.
- Caregivers are often isolated and need additional support. Coordinated visibility among caregivers may improve task follow-through and shared awareness, reducing burnout.
These observations were the genesis of our system foundation and continue to inform ongoing hypothesis development and design. Drawing on existing research, we developed the following approaches and will assess their effectiveness through continuous measurement, evaluation, and iterative system refinement.
1. Ambient Content Delivery Systems
Petalz is investigating whether a continuously available stream of family-generated content can support higher levels of engagement compared to conventional session-based interaction models.
- passive content consumption patterns
- temporal sequencing of content
- persistence of attention without active input
- the importance of fresh content and messages to increase engagement
2. Contextual and Temporal Content Sequencing
The platform is designed to explore how content can be sequenced to maintain ongoing relevance, timeliness, and awareness of meaningful family events.
- temporal relevance, such as recent updates and daily activity
- significant family events, such as birthdays, milestones, and commemorations
- observed engagement patterns, such as viewing frequency and content interaction
With these observations in mind, we designed a platform where content is continuously evaluated so it remains current and meaningful. As content ages or shows limited engagement, it is gradually deprioritized in favor of more recent or relevant updates.
This approach requires adaptive sequencing models capable of maintaining content freshness and relevance in environments with limited explicit user input.
3. Zero-Interaction User Experience Models
Petalz is engineering a system that minimizes or eliminates the need for conventional user interface interaction.
- state persistence without navigation
- continuous content delivery without session initiation, including kiosk functionality for those unable to initiate an application
- system reliability in unattended usage environments, including the ability to run for days or weeks without interruption
This represents a departure from traditional human-computer interaction paradigms and introduces challenging design constraints.
4. Distributed Family Coordination Systems
Petalz includes a shared coordination layer designed to support multiple participants contributing to a common care or communication context. It was difficult to separate the isolation experienced by some demographics from the associated demands on caregivers. That made shared care, or the Petalz Share the Care feature, a natural extension.
- real-time synchronization of user-generated tasks across devices, with notifications to create awareness and generate positive peer pressure to contribute
- role-based access and permissions, complete with device notifications
- event-driven task coordination with temporal triggers and chat capabilities
The system must maintain consistency across distributed users while supporting and encouraging participation.
Measurement Framework
To be successful, Petalz Mosaic must be developed with the ability to evaluate system effectiveness through observable behavioral patterns and interaction data. This is our intention.
What We're Studying
1. User Daily Experience
- sense of connection to familiar people and ongoing life events
- emotional responsiveness to incoming content and interactions
- reduction in observable signs of isolation, confusion, or disengagement
- sustained participation in daily rhythms and surrounding environment
2. Caregiver Capacity
- perceived level of support and shared responsibility across the care network
- clarity and confidence in decision-making within daily care situations
- reduction in coordination burden and fragmentation of communication
- sustained ability to manage responsibilities without signs of overload or burnout
3. Care System Performance
- communication efficiency between family members
- role clarity and task ownership
- consistency in care routines
- time to resolve care-related decisions
Analytical Framework Based on Observed and Derived Metrics
Engagement Metrics
Petalz Mosaic measures engagement through patterns of passive and active interaction with content.
- frequency and duration of content exposure
- recurrence of passive viewing sessions
- interaction with specific content types: static, motion, and personal
- repeat engagement with particular contributors
These metrics help inform how content is sequenced and presented over time.
Participation Metrics
In addition to individual engagement, Petalz Mosaic will evaluate the level and consistency of participation across the family network.
- number of active contributors within a network
- consistency of content contribution over time
- utilization of coordination features
- responsiveness to shared tasks and shared prompts
Adaptive Notification Strategy: Nudges
Petalz Mosaic incorporates a structured notification framework, referred to as Nudges, designed to encourage timely participation without introducing excessive interruption or fatigue.
Rather than applying a fixed notification model, Petalz Mosaic provides users with the ability to adjust notification frequency according to their individual preferences, while the system evaluates responsiveness to support ongoing refinement of notification strategies. This includes exploring individualized thresholds for notification fatigue and engagement sensitivity.
- the effectiveness of different notification types, including reminders, prompts, time-based triggers, and contextual events
- optimal timing and frequency of notifications across different users
- the relationship between notification exposure and subsequent engagement behavior
- user-specific tolerance levels for repeated prompts
Petalz Mosaic is also introducing the capability to measure and compare multiple notification strategies, with the goal of continuously refining how and when Nudges are delivered.
Technical Uncertainty
The development of Petalz Mosaic involves multiple areas of technical uncertainty.
- determining how to prioritize content in the absence of explicit user interaction signals
- identifying reliable proxies for emotional relevance in passive environments
- maintaining engagement without introducing cognitive or operational burden
- balancing system automation with user transparency and control
Addressing these uncertainties requires iterative experimentation, algorithm development, and system-level design innovation.
Privacy, Ethics, and Responsible Design
Petalz Mosaic is being developed with a strong emphasis on privacy, proportionality, and responsible interpretation of behavioral data.
- collecting only data necessary to improve system performance
- avoiding unsupported or clinical interpretations of behavioral patterns
- maintaining transparency regarding system behavior and measurement approaches
- preserving the privacy and integrity of family-generated content
All research and measurement approaches are intended to evolve responsibly over time.
Conclusion
Petalz Mosaic is being developed as a research-informed system at the intersection of human-computer interaction, digital communication, and behavioral observation. Simply put, we want to enrich the lives of some of our dearest demographic.