Older Adult Technology Use During a Global Pandemic: A Study of Mental Health, Social Supports, and Resiliency

Older adults have been disproportionately impacted by the COVID-19 pandemic, which has led many to isolate during this time. Technology enables people to remain connected, however little is known about how older adults have used technology and the impact it has had on their mental health and connectedness. This study was to explore how the COVID-19 pandemic has influenced older adult mental health and social connectedness, with a particular emphasis on how technology has played a role. One-on-one interviews (N=29) were conducted with adults aged 65+ (Mean age=71.5; 86% female) via phone/Zoom. Participants were asked open-ended questions about the impact social distancing has had on their quality of life, health, and social connectedness as well as their technology use to remain connected. Findings highlight the mental health stressors experienced by older adults during the pandemic, as well as much resiliency and innovation. In speaking of the isolation and its effect on her mental health, one participant said, “I thought fighting cancer was bad, but this is worse.” Nearly all of the participants had used technology in some form to remain connected to others, which the most common being a smart phone to call, text, and video-interface. One participant commented, “You can’t beat an iPhone. How in the world could we ever live without an iPhone?” Many participants had learned a new technology during the pandemic, such as Zoom. Our findings raise the possibility that technology may be a good strategy for enhancing well-being of aging population amid the pandemic.

A novel FPGA-based test-bench framework for SDI stream verification

This paper presents a framework for complete simulation and verification of Serial Digital Interface (SDI) video using a verilog test-bench and geared toward FPGAs. This framework permits simulating the entire process: from test video signal generation to protocol verification in the FPGA which implements the Device Under Test (DUT). The novelty in the design is the combination of a customized test video signal generator with an implementation clone of DUT transceiver for in-depth protocol debugging. Identical input test patterns of the video protocol under test are generated and fed to DUT for verification. Thus, the model not only permits to evaluate the SDI transport layer but also validates the implementation at ultra low pixel level of the video format. This approach provides two advantages: cost saving in terms of additional lab test equipment and delivering all-in-one test solution to verify design and implementation. A practical implementation using a test example of a macroblock processing chain using SDI video interface shows the viability of the proposed framework for video protocol testing.

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