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Yoshioka T, Muto H, Saiki J. Functional perspectives in mental jigsaw puzzles: Insights from eye-tracking, questionnaire, and behavioral data. PLoS One 2025; 20:e0321217. [PMID: 40249748 PMCID: PMC12007716 DOI: 10.1371/journal.pone.0321217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2024] [Accepted: 03/03/2025] [Indexed: 04/20/2025] Open
Abstract
This study investigated cognitive strategies in mental jigsaw puzzles, integrating mental rotation and translation with a focus on directionality and detour arguments. Unlike object mental rotation tasks, these puzzles introduced physical constraints, revealing systematic directional tendencies in both eye movements and subjective reports. Specifically, smaller protruding objects were consistently directed toward larger indented objects. This was accompanied by longer completion times and reduced linearity, paralleling strategies used in physical puzzle-solving. Behavioral asymmetries observed in the puzzles unexpectedly mirrored those found in object mental rotation tasks. While controlling for mental motion directions showed comparable completion times at 300° between tasks, the study did not fully clarify the role of detours, indicating the need for further research.
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Affiliation(s)
- Tsuyoshi Yoshioka
- Graduate School of Human and Environmental Studies, Kyoto University, Kyoto, Japan
| | - Hiroyuki Muto
- Graduate School of Sustainable System Sciences, Osaka Metropolitan University, Sakai, Osaka, Japan
| | - Jun Saiki
- Graduate School of Human and Environmental Studies, Kyoto University, Kyoto, Japan
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Rizzo JR, Hudson TE, Amorapanth PX, Dai W, Birkemeier J, Pasculli R, Conti K, Feinberg C, Verstraete J, Dempsey K, Selesnick I, Balcer LJ, Galetta SL, Rucker JC. The effect of linguistic background on rapid number naming: implications for native versus non-native English speakers on sideline-focused concussion assessments. Brain Inj 2018; 32:1690-1699. [PMID: 30182749 DOI: 10.1080/02699052.2018.1510543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
OBJECTIVE To determine if native English speakers (NES) perform differently compared to non-native English speakers (NNES) on a sideline-focused rapid number naming task. A secondary aim was to characterize objective differences in eye movement behaviour between cohorts. BACKGROUND The King-Devick (KD) test is a rapid number-naming task in which numbers are read from left-to-right. This performance measure adds vision-based assessment to sideline concussion testing. Reading strategies differ by language. Concussion may also impact language and attention. Both factors may affect test performance. METHODS Twenty-seven healthy NNES and healthy NES performed a computerized KD test under high-resolution video-oculography. NNES also performed a Bilingual Dominance Scale (BDS) questionnaire to weight linguistic preferences (i.e., reliance on non-English language(s)). RESULTS Inter-saccadic intervals were significantly longer in NNES (346.3 ± 78.3 ms vs. 286.1 ± 49.7 ms, p = 0.001), as were KD test times (54.4 ± 15.1 s vs. 43.8 ± 8.6 s, p = 0.002). Higher BDS scores, reflecting higher native language dominance, were associated with longer inter-saccadic intervals in NNES. CONCLUSION These findings have direct implications for the assessment of athlete performance on vision-based and other verbal sideline concussion tests; these results are particularly important given the international scope of sport. Pre-season baseline scores are essential to evaluation in the event of concussion, and performance of sideline tests in the athlete's native language should be considered to optimize both baseline and post-injury test accuracy.
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Affiliation(s)
- John-Ross Rizzo
- a Department of Physical Medicine & Rehabilitation , NYU School of Medicine , New York , NY , USA.,b Department of Neurology , NYU School of Medicine , New York , NY , USA
| | - Todd E Hudson
- a Department of Physical Medicine & Rehabilitation , NYU School of Medicine , New York , NY , USA.,b Department of Neurology , NYU School of Medicine , New York , NY , USA
| | - Prin X Amorapanth
- a Department of Physical Medicine & Rehabilitation , NYU School of Medicine , New York , NY , USA
| | - Weiwei Dai
- b Department of Neurology , NYU School of Medicine , New York , NY , USA.,c Department of Electrical & Computer Engineering , NYU Tandon School of Engineering , New York , NY , USA
| | - Joel Birkemeier
- a Department of Physical Medicine & Rehabilitation , NYU School of Medicine , New York , NY , USA
| | - Rosa Pasculli
- a Department of Physical Medicine & Rehabilitation , NYU School of Medicine , New York , NY , USA
| | - Kyle Conti
- a Department of Physical Medicine & Rehabilitation , NYU School of Medicine , New York , NY , USA
| | - Charles Feinberg
- a Department of Physical Medicine & Rehabilitation , NYU School of Medicine , New York , NY , USA
| | - Jan Verstraete
- a Department of Physical Medicine & Rehabilitation , NYU School of Medicine , New York , NY , USA
| | - Katie Dempsey
- b Department of Neurology , NYU School of Medicine , New York , NY , USA
| | - Ivan Selesnick
- c Department of Electrical & Computer Engineering , NYU Tandon School of Engineering , New York , NY , USA
| | - Laura J Balcer
- b Department of Neurology , NYU School of Medicine , New York , NY , USA.,d Department of Population Health , NYU School of Medicine , New York , NY , USA.,e Department of Ophthalmology , NYU School of Medicine , New York , NY , USA
| | - Steven L Galetta
- b Department of Neurology , NYU School of Medicine , New York , NY , USA.,e Department of Ophthalmology , NYU School of Medicine , New York , NY , USA
| | - Janet C Rucker
- b Department of Neurology , NYU School of Medicine , New York , NY , USA.,e Department of Ophthalmology , NYU School of Medicine , New York , NY , USA
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Mather G, Sharman RJ. Decision-level adaptation in motion perception. ROYAL SOCIETY OPEN SCIENCE 2015; 2:150418. [PMID: 27019726 PMCID: PMC4807448 DOI: 10.1098/rsos.150418] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/20/2015] [Accepted: 11/02/2015] [Indexed: 06/05/2023]
Abstract
Prolonged exposure to visual stimuli causes a bias in observers' responses to subsequent stimuli. Such adaptation-induced biases are usually explained in terms of changes in the relative activity of sensory neurons in the visual system which respond selectively to the properties of visual stimuli. However, the bias could also be due to a shift in the observer's criterion for selecting one response rather than the alternative; adaptation at the decision level of processing rather than the sensory level. We investigated whether adaptation to implied motion is best attributed to sensory-level or decision-level bias. Three experiments sought to isolate decision factors by changing the nature of the participants' task while keeping the sensory stimulus unchanged. Results showed that adaptation-induced bias in reported stimulus direction only occurred when the participants' task involved a directional judgement, and disappeared when adaptation was measured using a non-directional task (reporting where motion was present in the display, regardless of its direction). We conclude that adaptation to implied motion is due to decision-level bias, and that a propensity towards such biases may be widespread in sensory decision-making.
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Affiliation(s)
- George Mather
- School of Psychology, College of Social Science, University of Lincoln, Lincoln LN6 7TS, UK
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