HCI interventions often fall short of delivering lasting impact in resource-constrained contexts. We reflect on a project where we followed the "right" steps of needs-based, human-centered design, yet failed to deliver impact to the community. We introduce a framework that evaluates an intervention's potential for sustainable impact by maximizing use of assets in the community and minimizing novelty. We propose assets-based design as an approach that starts with what a community has, leveraging those assets in a design, as opposed to a needs-based approach that focuses on adding what a community lacks.
The operators of unmanned aerial systems (UAS) have multiple screens of information they need to monitor, and numerous interruptions that challenge them in their work. Research on attentional training has revealed that it is possible to train operators to improve their visual scanning, prioritization, and interruption management performance. This paper describes the analyses that were conducted to identify the information processing requirements associated with UAS tasks and the integration of findings into a prototype attentional skills training tool. This tool uses adaptive scenario-based training to improve the attentional management skills of UAS sensor operators.
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