Living Data Envisioning the Invisible
Help Us Map Homelessness & Discover Novel Human Behaviors Through Social Rovers
Living Data Envisioning the Invisible
Help Us Map Homelessness & Discover Novel Human Behaviors Through Social Rovers
Homelessness - A Timely Issue
The homelessness crisis is not just a moral imperative, but a ticking time bomb that threatens the very fabric of our society. We're living on borrowed time; if we don't address this issue now, it will have a profound far-reaching consequences for every single one of us. Setting aside the moral, ethical, and financial issues, the demographics alone are particularly alarming, with a growing number of older adults and seniors living on the streets. As they age, their health needs only intensify, leading to a massive wave of hospitalizations, emergency room visits, and long-term care costs that will be placed directly onto the taxpayer.
But the consequences will be far more devastating than just financial. We're talking about a scenario where entire cities will be forced to confront the grim reality of mass mortality, as thousands of people die prematurely on the streets, in shelters, or in hospitals. The images are already haunting - makeshift memorials, overcrowded morgues, and overwhelmed social services - but the reality will be far worse. We're not just talking about a moral crisis, but a humanitarian disaster that will leave deep scars on our communities and our collective conscience. The time to act is now.
Social Rover™
Social Rover™ is a term we developed to describe a sensor package that utilizes simulated social markers to exist & navigate within a preselected cohort for an extended period of time.
Tracr Standard
Tracr Standard(s) are small & low cost hand delivered devices that allow us to build personal connections with each participant and capture detailed account information which will greatly enhance our understanding of their situation and needs. This approach also provides a chance for the participants to receive chocolate bars, giving them a little pick-me-up as they navigate through life's challenges.
Social Rovers
Built-In Protection
Hands-Free Deployment
Organic Assimilation
Tracr Cubes exhibit a emergent phenomenon of symbiotic safeguarding, wherein the formation of social bonds between the cube and its "host" fosters a self-reinforcing mechanism of protection. The incorporation of anthropomorphic design elements encourage a process of environmental embedding, where the subject's cognitive and behavioral patterns are influenced by the cube's presence alone, leading to a heightened sense of vigilance and protective behavior.
Organic Assimilation
Hands-Free Deployment
Organic Assimilation
Our first priority was crafting a balance between characterization & durability. Through visuals including the face on the front of the Tracr Cube, we can leverage the phenomenon of anthropomorphism enabling the Social Rovers to effortlessly assimilate into the daily lives of pre-selected social networks.
The optional usage of auditory cues, including coos and chirps, serves to enhance the affective bond between the individual/community and the Tracr Cube, enabling the Cube to transcend its status as a mere device in the eyes of the subject, becoming an integral component of the social fabric, and thereby ensuring the longevity and efficacy of the data collection process.
Hands-Free Deployment
Hands-Free Deployment
Hands-Free Deployment
One massive benefit of Tracr Cubes are their ease of organic deployment, exploiting the principles of ambient interaction and affordance to enable effortless integration into the environment. By scouting locations in advance allowing the devices to be discovered and adopted naturally by the homeless population, we can minimize the influence of researcher-participant interactions and reduce the likelihood of participants modifying their behavior in response to the device. The Tracr Cube's design, which avoids the appearance of a traditional tracking device, further reduces the likelihood of participants altering their behavior in response to the cube' presence.
As a result, the data collected through this method is more likely to reflect the authentic experiences and behaviors of the homeless population, providing a more accurate and nuanced understanding of their needs and circumstances. This approach also mitigates the risks associated with direct interaction & optimizes the deployment process, permitting the simultaneous placement of multiple cubes at once.
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