Session 6: Figuring Out Your Attention Span and Learning How to Delay Distractions

Overcoming ADHD in Adolescence ◽

10.1093/med-psych/9780190854485.003.0007 ◽

2020 ◽

pp. 61-68

Author(s):

Susan E. Sprich ◽

Steven A. Safren

Keyword(s):

Attention Span ◽

Task List

This chapter contains instructions for gauging the length of time that one can reasonably expect to work on a boring or difficult task, followed by information on how to break tasks down into smaller “chunks” that will likely take that amount of time or less. The chapter also contains information on the “distractibility delay” skill. This is a skill that involves setting a timer during which one commits to staying on task, writing down distractions, and then deciding if they are tasks that need to be done immediately, tasks that can go onto the task list, or tasks that are pure distractions and can be discarded.

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Gauging Your Attention Span and Distractibility Delay

Mastering Your Adult ADHD ◽

10.1093/med:psych/9780190235567.003.0008 ◽

2017 ◽

pp. 53-60

Author(s):

Steven A. Safren ◽

Susan E. Sprich ◽

Carol A. Perlman ◽

Michael W. Otto

Keyword(s):

Second Step ◽

Attention Span ◽

Task List

This chapter contains instructions that adult clients with ADHD can use to gauge their attention span and use the “distractibility delay” technique. The first step is for clients to gauge the length of time that they can reasonably expect themselves to work on a boring or difficult task. The second step is to break tasks down into smaller “chunks” that will likely take that amount of time. The “distractibility delay” skill involves committing to keep working on a task for a certain period of time. During that time, the client writes down distractions but does not act on them. After the agreed-upon period of time, the client can decide if they are tasks that need to be done immediately, tasks that can go onto the task list, or tasks that are pure distractions and can be discarded.

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Session 6: Gauging the Attention Span and Delaying Distractions

Overcoming ADHD in Adolescence ◽

10.1093/med-psych/9780190854522.003.0007 ◽

2020 ◽

pp. 75-82

Author(s):

Susan E. Sprich ◽

Steven A. Safren

Keyword(s):

Attention Span ◽

Task List

This chapter contains instructions for gauging the length of time that one can reasonably expect to work on a boring or difficult task, followed by information on how to break tasks down into smaller “chunks” that will likely take that amount of time. The chapter also contains information on the “distractibility delay” skill. This is a skill that involves setting a timer for a duration during which one commits to staying on task, writing down distractions, and then deciding if they are tasks that need to be done immediately, tasks that can go on to the task list, or tasks that are pure distractions and can be discarded.

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Gauging the Client’s Attention Span and Teaching Distractibility Delay

Mastering Your Adult ADHD ◽

10.1093/med:psych/9780190235581.003.0006 ◽

2017 ◽

pp. 47-54

Author(s):

Steven A. Safren ◽

Susan E. Sprich ◽

Carol A. Perlman ◽

Michael W. Otto

Keyword(s):

Case Vignette ◽

Attention Span ◽

Task List

This chapter contains instructions for helping clients with ADHD to reduce distractibility. Clients are taught to gauge their attention span, the length of time that they can reasonably expect themselves to work on a boring or difficult task, and then to break tasks down into smaller chunks that will likely take that amount of time. The chapter also contains information on teaching the “distractibility delay” skill. The client sets an amount of time during which he or she commits to staying on task. If distracting thoughts pop into the client’s head during that time, he or she writes them down. After the agreed-upon length of time, the client can decide if they are tasks that need to be done immediately, tasks that can go onto the task list, or tasks that are pure distractions and can be discarded. A case vignette illustrates the use of these techniques.

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Relationship Among Flow, Concentration, and Attention Span: A Quantitative Study

PsycEXTRA Dataset ◽

10.1037/e697532011-001 ◽

2011 ◽

Author(s):

Douglas R. Polster ◽

Stephen A. Russo ◽

David E. Richie ◽

Susana Quintana Marikle

Keyword(s):

Quantitative Study ◽

Attention Span

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A Modification of Daily Learning Flow in Inclusive Education Programs

CENDEKIAWAN ◽

10.35438/cendekiawan.v1i2.160 ◽

2019 ◽

Vol 1 (2) ◽

pp. 10-15

Author(s):

RIzka Harfiani ◽

Hasrian Rudi Setiawan

Keyword(s):

Learning Outcomes ◽

Inclusive Education ◽

Education Programs ◽

Attention Span ◽

Parallel Learning ◽

Learning Flow

Pendidikan inklusif kini menjadi fokus perhatian dalam upaya pemberian layanan pendidikan bagi semua anak, termasuk anak berkebutuhan khusus. Berbagai permasalahan kerap dijumpai dalam proses pembelajaran di kelas inklusif, untuk itu penelitian ini bertujuan menganalisis modifikasi alur pembelajaran harian pendidikan inklusif di Raudhatul Athfal An-Nahl, Jakarta. Penelitian ini menggunakan pendekatan kualitatif dengan jenis penelitian studi kasus. Teknik pengumpulan data yang digunakan adalah observasi, wawancara, dan dokumentasi. Teknis analisis data menggunakan model analisis interaktif Miles and Huberman, serta pengujian keabsahan data dengan metode triangulasi. Hasil penelitian menemukan modifikasi alur pembelajaran harian di RA. An-Nahl terdiri dari pre-opener, opener, energizer, activity, linking dan summeryzing, review, mission, dan closer. Hal yang perlu diperhatikan dalam proses pembelajaran adalah engagement, attention span, readiness, activity, reviewing, learning outcomes dan parallel learning outcomes. Kesimpulan dari penelitian ini menunjukkan bahwa modifikasi alur pembelajaran harian mampu mengakomodir kelebihan maupun kelemahan sesuai karakter masing-masing siswa, serta mampu mengatasi permasalahan dalam proses pembelajaran di kelas inklusif.

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The relation of visual attention span with serial and discrete rapid automatized naming and reading

Journal of Experimental Child Psychology ◽

10.1016/j.jecp.2021.105093 ◽

2021 ◽

Vol 207 ◽

pp. 105093

Author(s):

Peter F. de Jong ◽

Madelon van den Boer

Keyword(s):

Visual Attention ◽

Rapid Automatized Naming ◽

Attention Span

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Attention span and generalization of task-related stimulus control: Effects of reinforcement contingencies

Journal of Experimental Child Psychology ◽

10.1016/0022-0965(72)90079-3 ◽

1972 ◽

Vol 13 (3) ◽

pp. 527-539

Author(s):

William H. Redd

Keyword(s):

Stimulus Control ◽

Attention Span

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Hallucinations Are Real to Patients With Dementia

Gerontology and Geriatric Medicine ◽

10.1177/2333721417721108 ◽

2017 ◽

Vol 3 ◽

pp. 233372141772110 ◽

Cited By ~ 1

Author(s):

R. C. Hamdy ◽

A. Kinser ◽

J. V. Lewis ◽

R. Copeland ◽

A. Depelteau ◽

...

Keyword(s):

Posttraumatic Stress Disorder ◽

Posttraumatic Stress ◽

Clinical Features ◽

Dementia With Lewy Bodies ◽

Stress Disorder ◽

Lewy Bodies ◽

Attention Span ◽

Short Attention Span

In this case study, we present a patient with preexistent posttraumatic stress disorder and psychosis who has been recently diagnosed with Dementia with Lewy Bodies. He is experiencing vivid hallucinations. What went wrong between him and his wife as a result of these hallucinations is presented. Alternative actions that could have been used are suggested. Objectives At the end of this case study, readers will know the following: The characteristic clinical features of Dementia with Lewy Bodies (DLB). Patients experiencing hallucinations should not be contradicted, to them, these hallucinations are real. Easy distractibility and short attention span can be exploited to avert or defuse potentially catastrophic situations. Patients with dementia should not have access to loaded guns.

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Distributed task allocation with critical tasks and limited capacity

Robotica ◽

10.1017/s0263574721000102 ◽

2021 ◽

pp. 1-25

Author(s):

An Zhang ◽

Mi Yang ◽

Bi Wenhao ◽

Fei Gao

Keyword(s):

Numerical Simulations ◽

Unmanned Aerial Vehicle ◽

Task Allocation ◽

Network Capacity ◽

Allocation Problem ◽

Limited Capacity ◽

Performance Impact ◽

Task List ◽

Aerial Vehicle ◽

Traditional Performance

Abstract This paper considers the task allocation problem under the requirement that the assignments of some critical tasks must be maximized when the network capacity cannot accommodate all tasks due to the limited capacity for each unmanned aerial vehicle (UAV). To solve this problem, this paper proposes an extended performance impact algorithm with critical tasks (EPIAC) based on the traditional performance impact algorithm. A novel task list resizing phase is developed in EPIAC to deal with the constraint on the limited capacity of each UAV and maximize the assignments of critical tasks. Numerical simulations demonstrate the outstanding performance of EPIAC compared with other algorithms.

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