These answers draw in part from “AngelSense: Skill Building with Maintenance, Generalization and Transfer of Care Using Assistive Technology” by Lauren DeClaire, Board Certified Behavior Analyst (BehaviorLive), and extend it with peer-reviewed research from our library of 27,900+ ABA research articles. Clinical framing, BACB ethics code references, and cross-links below are synthesized by Behaviorist Book Club.
View the original presentation →GPS technology supports safety skill teaching by providing a monitoring layer that allows practitioners and caregivers to create graduated independence opportunities. Rather than requiring constant physical proximity during community safety instruction, the technology provides real-time location data that enables adults to maintain awareness of the individual's whereabouts while allowing greater physical distance.
This creates more natural teaching conditions where the individual practices safety skills with reduced prompting while the monitoring adult can intervene if safety thresholds are approached. The technology data also provides objective information about the individual's movement patterns, travel routes, and responses to environmental boundaries that can inform functional assessment and intervention planning.
Transfer of care is the process of transitioning responsibility for maintaining and extending a client's behavioral gains from the professional service provider to the caregiver and natural support system. It is challenging for several reasons: caregivers may lack confidence in their ability to implement behavioral strategies independently, the natural environment presents more variable and complex conditions than the treatment setting, reinforcement contingencies in the natural environment may differ from those in treatment, and the fading of professional support can be anxiety-provoking for families who have relied on it.
Additionally, many ABA programs do not have structured transfer of care protocols, resulting in abrupt transitions that set families up for regression.
Behavior analysts should approach privacy concerns proactively and transparently. This includes discussing the specific data collected by the device and how it will be used, establishing clear boundaries about when and how monitoring occurs, developing a fading plan with specific criteria for reducing monitoring as skills develop, involving the individual in decisions about their own monitoring to the greatest extent possible, ensuring data security and limiting access to monitoring data to authorized individuals, and framing the technology as a temporary support for independence rather than permanent surveillance.
When the individual has sufficient communication skills, their preferences about monitoring should be a primary consideration in decision-making.
Yes. Assistive technology can support caregiver training fidelity in several ways.
The technology provides objective data on the individual's behavior in natural settings, which the practitioner can review remotely and use to provide feedback to the caregiver. This extends the practitioner's ability to monitor and coach beyond direct observation sessions.
The technology can also provide caregivers with real-time cues or reminders for implementing behavioral strategies, serve as a measure of whether caregivers are responding appropriately to the individual's behavior, and document progress that reinforces the caregiver's efforts and builds confidence in their ability to manage independently.
Programming for maintenance and generalization involves using the technology data to systematically evaluate skill use across settings, times, and conditions. During the maintenance phase, the practitioner monitors whether the individual continues to demonstrate safety skills in the absence of direct prompting, using technology data as a probe measure.
During generalization programming, the practitioner identifies specific settings or conditions where the skill has not generalized and provides targeted instruction in those contexts, using the technology to monitor performance. The fading of technology supports should follow the same systematic approach as fading any behavioral support—gradually reducing the monitoring frequency as the data demonstrate consistent skill performance.
Several reinforcement considerations are important. First, the technology can enable delivery of reinforcement in natural settings by alerting caregivers to instances of appropriate safety behavior that they can then reinforce immediately.
Second, the data provided by the technology can inform reinforcement schedule decisions—as the individual demonstrates consistent safety behavior, reinforcement can be systematically thinned. Third, the technology itself should not inadvertently function as a reinforcer for unsafe behavior (for example, if the individual learns that elopement triggers attention via the device's alert system).
Fourth, the natural reinforcement for safe behavior (access to community, independence, caregiver praise) should be progressively emphasized as programmed reinforcement is faded.
Fading criteria should be established at the outset of the technology integration plan and should be based on the individual's demonstrated competence rather than arbitrary timelines. Specific criteria might include demonstrating target safety skills across multiple settings with a specified level of consistency, maintaining skills over a defined period without direct prompting or intervention, demonstrating the ability to self-monitor and self-correct safety behavior, and caregiver report of confidence in managing safety independently.
Fading should be gradual—moving from continuous to intermittent monitoring, then to periodic probes, and eventually to technology removal with continued periodic skill checks.
The generality dimension requires that behavior change maintains over time, appears in other settings, and spreads to other behaviors. Assistive technology directly supports all three components.
Maintenance is supported by providing ongoing monitoring data that detects regression early, before it becomes entrenched. Setting generalization is supported by providing data across multiple environments, identifying where skills have and have not transferred.
Response generalization can be assessed by monitoring whether safety skills extend to novel situations not specifically trained. By providing continuous, natural environment data, assistive technology transforms the generality dimension from a hoped-for outcome to a systematically monitored and programmed target.
BCBAs need training in several areas to effectively integrate assistive technology. First, familiarity with available technology options and their features, limitations, and costs.
Second, understanding of how to incorporate technology into behavioral assessment and intervention plans using established behavioral principles. Third, skills in training caregivers to use the technology effectively and to interpret the data it provides.
Fourth, knowledge of ethical and privacy considerations specific to monitoring technology. Fifth, competence in developing technology fading plans that promote independence.
Most BCBA training programs do not currently provide this training, making continuing education in assistive technology an important area of professional development.
Organizations should evaluate assistive technology outcomes across multiple dimensions: behavioral outcomes (changes in safety skill performance, elopement frequency, independent functioning), caregiver outcomes (confidence, stress levels, ability to implement strategies independently), efficiency outcomes (time savings in monitoring and supervision, impact on caseload capacity), and stakeholder satisfaction (family perceptions of the technology's value and acceptability). Data should be collected systematically using established behavioral measurement methods, and outcomes should be compared against baseline performance and against the goals established in the technology integration plan.
Organizations should also evaluate cost-effectiveness, considering both the direct costs of the technology and the indirect benefits in terms of improved outcomes and reduced risk.
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AngelSense: Skill Building with Maintenance, Generalization and Transfer of Care Using Assistive Technology — Lauren DeClaire · 1 BACB Ethics CEUs · $20
Take This Course →We extended these answers with research from our library — dig into the peer-reviewed studies behind the topic, in plain-English summaries written for BCBAs.
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All behavior-analytic intervention is individualized. The information on this page is for educational purposes and does not constitute clinical advice. Treatment decisions should be informed by the best available published research, individualized assessment, and obtained with the informed consent of the client or their legal guardian. Behavior analysts are responsible for practicing within the boundaries of their competence and adhering to the BACB Ethics Code for Behavior Analysts.