Attention Regulation Framework
Niksirat Kavous Salehzadeh, Silpasuwanchai Chaklam, Cheng Peng, Ren Xiangshi · ACM Transactions on Computer-Human Interaction · 2019 · Participant study
Recorded summary
Four user evaluations explored interfaces that use subtle movements to guide attention. Relevant to design in busy spaces and to giving participants control over the pace.
Recorded limitations
The evaluated interfaces tracked deliberate physical movements to support attention.
Evidence and provenance
Chapter Trust Factor uses a minimum of three distinct qualifying studies. Publication records retain their own evidence and assessment.
Study design and assessment
- design
- Participant study
- assessment
- category
- peer-reviewed-study
- peer Reviewed
- true
- basis
- The publication is a peer-reviewed journal study or review. A qualifying randomised comparison was not verified in the assessed source.
- sources
https://doi.org/10.1145/3359593
- trust Factor
- score
- 1
- scope
- Paper
- status
- assessed
- randomized Controlled Trial
- Not recorded
- blinding
- not-confirmed
- peer Reviewed
- true
- basis
- The publication is a peer-reviewed journal study or review. A qualifying randomised comparison was not verified in the assessed source.
- sources
https://doi.org/10.1145/3359593
- review Scope
- Existing publication-specific assessments and bibliographic indexing; no blanket full-text appraisal.
- assessed At
- 2026-11-05
- display Crosses
- 1
- jadad
- status
- unassessed
- score
- Not recorded
- evidence
- evidence Type
- Participant study
- measurement
- Movement
- relationship Note
- The evaluated interfaces tracked deliberate physical movements to support attention.
Topics and recorded topic scores
- key
- language:mindfulness-biofeedback
- title
- Mindfulness Biofeedback / AR / VR / Mixed Reality
- collection
- language
- trust Score
- 2
Citation snapshot and identifiers
- id
- lab-3650fe906cd8e1
- doi
- 10.1145/3359593
- pmid
- Not recorded
- citation Snapshot
- Not recorded
- citations By Collection
- language
- Not recorded
Complete approved library record
- id
- lab-3650fe906cd8e1
- aliases
- None recorded
- title
- Attention Regulation Framework
- journal
- ACM Transactions on Computer-Human Interaction
- neurotransmitters
- None recorded
- year
- 2019
- authors
- Niksirat Kavous Salehzadeh, Silpasuwanchai Chaklam, Cheng Peng, Ren Xiangshi
- design
- Participant study
- identity Conflict
- Not recorded
- doi
- 10.1145/3359593
- pmid
- Not recorded
- urls
https://doi.org/10.1145/3359593
- collections
language
- categories
Mindfulness and biofeedback
- targets
- None recorded
- priority
- 1
- quotes
- None recorded
- summary
- Four user evaluations explored interfaces that use subtle movements to guide attention. Relevant to design in busy spaces and to giving participants control over the pace.
- limitation
- The evaluated interfaces tracked deliberate physical movements to support attention.
- citation Count
- Not recorded
- study Design Assessment
- category
- peer-reviewed-study
- peer Reviewed
- true
- basis
- The publication is a peer-reviewed journal study or review. A qualifying randomised comparison was not verified in the assessed source.
- sources
https://doi.org/10.1145/3359593
- paper Trust Assessment
- score
- 1
- scope
- Paper
- status
- assessed
- randomized Controlled Trial
- Not recorded
- blinding
- not-confirmed
- peer Reviewed
- true
- basis
- The publication is a peer-reviewed journal study or review. A qualifying randomised comparison was not verified in the assessed source.
- sources
https://doi.org/10.1145/3359593
- review Scope
- Existing publication-specific assessments and bibliographic indexing; no blanket full-text appraisal.
- assessed At
- 2026-11-05
- display Crosses
- 1
- citations By Collection
- language
- Not recorded
- topics
- key
- language:mindfulness-biofeedback
- title
- Mindfulness Biofeedback / AR / VR / Mixed Reality
- collection
- language
- trust Score
- 2
- journal Key
- acmtransactionsoncomputerhumaninteraction
- journal Label
- ACM Transactions on Computer-Human Interaction
- chapter Entries
- title
- Attention Regulation Framework
- doi
- 10.1145/3359593
- pmid
- Not recorded
- journal
- ACM Transactions on Computer-Human Interaction
- year
- 2019
- authors
- Niksirat Kavous Salehzadeh, Silpasuwanchai Chaklam, Cheng Peng, Ren Xiangshi
- design
- Participant study
- urls
https://doi.org/10.1145/3359593
- targets
- None recorded
- categories
Mindfulness and biofeedback
- citation Count
- Not recorded
- evidence
- evidence Type
- Participant study
- measurement
- Movement
- relationship Note
- The evaluated interfaces tracked deliberate physical movements to support attention.
- id
- language-biofeedback-36
- record Id
- lab-3650fe906cd8e1
- summary
- Four user evaluations explored interfaces that use subtle movements to guide attention. Relevant to design in busy spaces and to giving participants control over the pace.
- limitation
- The evaluated interfaces tracked deliberate physical movements to support attention.
- quotes
- None recorded
- source Pages
- None recorded
- study Design Assessment
- category
- peer-reviewed-study
- peer Reviewed
- true
- basis
- The publication is a peer-reviewed journal study or review. A qualifying randomised comparison was not verified in the assessed source.
- sources
https://doi.org/10.1145/3359593
- paper Trust Assessment
- score
- 1
- scope
- Paper
- status
- assessed
- randomized Controlled Trial
- Not recorded
- blinding
- not-confirmed
- peer Reviewed
- true
- basis
- The publication is a peer-reviewed journal study or review. A qualifying randomised comparison was not verified in the assessed source.
- sources
https://doi.org/10.1145/3359593
- review Scope
- Existing publication-specific assessments and bibliographic indexing; no blanket full-text appraisal.
- assessed At
- 2026-11-05
- display Crosses
- 1
- collection
- language
- chapter Number
- 2
- topic Id
- mindfulness-biofeedback
- topic Title
- Mindfulness Biofeedback / AR / VR / Mixed Reality
- trust Score
- 2
- evidence
- evidence Type
- Participant study
- measurement
- Movement
- relationship Note
- The evaluated interfaces tracked deliberate physical movements to support attention.
- jadad
- status
- unassessed
- score
- Not recorded
- condition Evidence
- None recorded
- conditions
- None recorded
- topic Trust Scores
2
- full Text
- status
- not-indexed
- retrieval Available
- false