What the book covers

The book discusses attention and motivation at six levels:

1. Attention networks. Posner and Petersen’s three-network model (alerting, orienting, executive control), the subtraction scores of the Attention Network Test (ANT), and why their reliability is often modest.
2. The working-memory bottleneck. From Miller’s “7 ± 2” to Cowan’s “about 4 chunks”; cognitive load theory; how experts use multi-level schemas to compress many separate items into a few slots.
3. Task switching and interruption. Switch costs and the “residual” cost, attention residue, what a few seconds of interruption does to errors at the next step, and what the much-quoted “23 minutes” actually measured.
4. Crowding out by extrinsic rewards. From Deci’s Soma puzzles and Lepper’s drawing study to a meta-analysis of 128 experiments and economic field evidence; why “being paid to do it” can be read as “it isn’t worth doing for its own sake”.
5. Three basic psychological needs. Autonomy, competence and relatedness in self-determination theory, and how “additive” and “multiplicative” models of them make different predictions.
6. Flow. The balance of challenge and skill, the eight-channel model, hypotheses and limited evidence about the brain basis of flow, and a learner model whose difficulty is tuned to a target accuracy.

Chapter 7 reads this research beside the Neo-Confucian teaching of reverence (jìng) in Cheng Yi and Zhu Xi, the Xunzi’s “empty, unified and still” mind and the Zhuangzi’s “his will undivided, he was concentrated like a spirit”, and states clearly that reverence was a discipline of moral cultivation, not a technique of attention training. Chapter 8 offers a four-step attention-and-motivation checklist and a pre-registered randomised crossover trial testing the claim that the mere presence of one’s smartphone uses up cognitive capacity.

Claims corrected on checking

Several claims in the author’s original framework needed correction or qualification:

1. Networks and transmitters do not map one-to-one. Alerting, orienting and executive control are associated mainly with the noradrenergic, cholinergic and dopaminergic systems; these are principal modulators, not sole mechanisms, and “dopamine = motivation” is a popular exaggeration. The networks are not fully independent, and the ANT’s alerting and orienting scores have low reliability.
2. The effects of sleep loss, notifications and stress cannot be assigned tidily to subnetworks. Sleep deprivation most reliably impairs simple sustained attention; studies using the ANT directly are small and inconsistent. The book states only directions supported by published work.
3. Working-memory capacity is not “7 ± 2” but, with rehearsal and chunking excluded, about 3 to 5 chunks (Cowan 2001).
4. “Germane” load has been redefined (Sweller 2010): it is not a third, additive load but the resources devoted to intrinsic load.
5. “A 10-second glance at WeChat wrecks the next 15 minutes” has no direct evidence. Experiments show that interruptions of about 2.8 and 4.4 seconds roughly doubled and tripled sequence errors at the next step; the “23 minutes” comes from office observation, where interrupted work resumed the same day was picked up after 25 min 26 s on average, with more than two other tasks in between. It is not “the time needed to regain focus”.
6. Extrinsic rewards do not always undermine intrinsic motivation. Only expected tangible rewards contingent on engagement, completion or performance reduce free-choice persistence; unexpected rewards have no effect, positive verbal feedback raises intrinsic motivation, and for dull tasks crowding out does not hold. The draft spelled Lepper’s name in Cyrillic letters; this has been corrected.
7. The “multiplicative” needs model is the author’s assumption; self-determination theory does not claim the needs combine strictly multiplicatively. The book sets additive and multiplicative versions side by side.
8. The brain basis of flow is still hypothesis. “Transient hypofrontality” has limited direct evidence; the “85 % rule” was derived for a class of machine learners and is only an analogy for flow.
9. Classical quotations. Cheng Yi’s words are “what is called reverence is holding to one; what is called one is not going off elsewhere”, and “holding to one without going off” is Zhu Xi’s summary; “not darkened by selfish desire” is not in the Zhuzi yulei, juan 12, which reads “not letting oneself go: that is reverence”; the received Xunzi reads “所已臧” and “心未尝不满也，然而有所谓一” (commentators read 满 as 两; it is not “心未尝不两也，然而有所谓壹”); the Zhuangzi reads “乃凝于神”, the Liezi “乃疑于神”.
10. “A phone’s mere presence drains the mind” is not robust: a direct replication failed, and meta-analysis found only a small effect on working-memory capacity. That is the reason for the trial in Chapter 8.

Each chapter says so where the issue arises, and the Editor’s Notes published with the book files collect these points.

How to read the boxes

As in other 5D Library books, different kinds of statement are marked separately.

About this edition

This is version 1.0.0, the first complete edition: a preface and eight chapters, in Chinese and English. The book contains 16 Python programs and 4 vector figures. The text, boxes and code were drafted with an AI writing tool from the author’s title, framework and notes; the author is responsible for reviewing and revising them and for checking every source. Corrections and missing references are welcome through the 5D Library website.