Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
Applied Attention Theory, Second Edition provides details concerning the relevance of all aspects of attention to the world beyond the laboratory. Topic application areas include the design of warning systems to capture attention; attention distractions in the workplace; failures of dividing attention while driving; and the measurement of mental workload while flying.
This new edition discusses the implications of VR and AR for human attention. It also covers the treatment of attention-based pedagogical methods used to enhance learning and presents attentional issues in interacting with automation and AI. New chapters include applications of attention to healthcare, education pedagogy, highway safety, and human interaction with autonomous vehicles and other AI systems.
The readership for this book is the professional, the researcher, and the student.
Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
Memmo's summaries are gold before exams. I don't have to re-read 800 pages two weeks before — just the important parts.
The AI chat has saved me the night before an exam more than once. I just keep asking until I get it — no waiting on a study group to reply.
The quizzes hit exactly what I need to know. Memmo tracks what I get stuck on — so I only practice what's worth it.
Flashcards with spaced repetition are magic. Memmo knows when I'm about to forget something and brings it back.
The AI podcasts are my favorite. I listen on my way to school and get a recap without sitting at a computer.
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