Benjamin Wang
Papers
2
Total Citations
26
H-Index
2
About
Benjamin Wang is a leading researcher in digital cognitive assessment, with a primary focus on the methodological rigor of remote testing platforms. His work critically examines the trade-offs between accessibility and data quality in smartphone-based cognitive testing, particularly through the lens of bring-your-own-device (BYOD) paradigms. Wang’s most influential contribution, the 2022 study “To BYOD or not: Are device latencies important for bring-your-own-device (BYOD) smartphone cognitive testing?” (24 citations), systematically investigates how variations in device hardware—specifically touchscreen latency—can confound reaction-time-based cognitive metrics. This work provides essential guidance for researchers designing large-scale, decentralized studies, demonstrating that while BYOD offers unparalleled reach and ecological validity, unaccounted device heterogeneity can introduce systematic measurement error. By quantifying these device effects, Wang has helped establish best practices for remote cognitive assessment, enabling more robust and reproducible findings in fields from clinical psychology to neuroepidemiology. His research is particularly valuable for students and scientists seeking to balance the scalability of digital tools with the precision required for valid cognitive measurement.
Research Focus
Key Achievements
Top Papers
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