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Christopher B. Mayhorn

Researcher at North Carolina State University

Publications -  122
Citations -  2776

Christopher B. Mayhorn is an academic researcher from North Carolina State University. The author has contributed to research in topics: Phishing & Poison control. The author has an hindex of 27, co-authored 114 publications receiving 2449 citations. Previous affiliations of Christopher B. Mayhorn include University of Georgia & Georgia Institute of Technology.

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Effect of age on event-based and time-based prospective memory.

TL;DR: Some time-based prospective memory deficits in older adults are due to a fundamental deficit in time monitoring rather than to prospective memory, suggesting that event-based responding has a substantial attentional requirement.
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A survey of World Wide Web use in middle-aged and older adults.

TL;DR: The results suggested that there are distinct age and demographic differences in individuals who use the Web, and the two primary predictors for not using the Web are lack of access to a computer and lack of knowledge about the Web.
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Older Adults, Computer Training, and the Systems Approach: A Formula for Success.

TL;DR: In this paper, the authors apply a systems approach to help bridge the gap between research and practice to address the disparity between what older adults would like to learn and the content of computer training courses.
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Beyond abuse and exposure: framing the impact of prescription-medication sharing.

TL;DR: A medication-sharing impact framework is used to organize the resulting data regarding medication-loaning and -borrowing practices and further research regarding medication loaning and borrowing behaviors and their associated consequences is merited.
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Warning the world of extreme events: A global perspective on risk communication for natural and technological disaster

TL;DR: This paper reviewed a number of theoretical frameworks that describe how the public responds to warnings and identified the components of effective warnings and evaluative techniques that can be used to judge successful implementation of warning systems.