Purpose: The effects of animation on transparency, name agreement, and identification of graphic symbols for verbs and prepositions were evaluated in preschoolers of 3 age groups. Methods A mixed-group design was used; in each age group, half of the children were randomly allocated to 1 of 2 orders of symbol formats. The 52 children were asked to guess the meaning of symbols and to identify a target symbol among foils given the spoken label.

Results: Animated symbols were more transparent than static symbols, although this was more pronounced for verbs. Animated verbs were named more accurately than static verbs, but there was no difference between animated and static prepositions. Verbs were identified more accurately compared with prepositions, but there was no difference between symbol formats. Older children guessed, named, and identified symbols more effectively than younger children.

Conclusion: Animation enhances transparency and name agreement, especially for verbs, which reduces the instructional burden that comes with nontransparent symbols. Animation does not enhance identification accuracy. Verbs are easier to identify than prepositions. A developmental effect was observed for each measure. Limitations and implications for future research are discussed.

Download full-text PDF

Source
http://dx.doi.org/10.1044/1092-4388(2011/10-0164)DOI Listing

Publication Analysis

Top Keywords

transparency agreement
12
graphic symbols
8
verbs
8
verbs prepositions
8
agreement identification
8
symbol formats
8
symbols
7
prepositions
5
animation
4
animation graphic
4

Similar Publications

The potential of large language models (LLMs) in medical applications is significant, and Retrieval-augmented generation (RAG) can address the weaknesses of these models in terms of data transparency and scientific accuracy by incorporating current scientific knowledge into responses. In this study, RAG and GPT-4 by OpenAI were applied to develop GuideGPT, a context aware chatbot integrated with a knowledge database from 449 scientific publications designed to provide answers on the prevention, diagnosis, and treatment of medication-related osteonecrosis of the jaw (MRONJ). A comparison was made with a generic LLM ("PureGPT") across 30 MRONJ-related questions.

View Article and Find Full Text PDF

This study aims to develop and validate a standardized methodology for creating high-fidelity, custom-made, patient-specific 3D-printed vascular models that serve as tools for preoperative planning and training in the endovascular treatment of peripheral artery disease (PAD). Ten custom-made 3D-printed vascular models were produced using computed tomography angiography (CTA) scans of ten patients diagnosed with PAD. CTA images were analyzed using Syngo.

View Article and Find Full Text PDF

Consortium of 2029 and 7247 Strains Shows In Vitro Bactericidal Effect on and, in Combination with Prebiotic, Protects Against Intestinal Barrier Dysfunction.

Antibiotics (Basel)

November 2024

Department of Biomolecular Sciences, School of Life Sciences, Chemistry and Pharmacy, Faculty of Health, Science, Social Care and Education, Kingston University London, Kingston upon Thames KT1 2EE, UK.

(CJ) is the etiological agent of the world's most common intestinal infectious food-borne disease, ranging from mild symptoms to fatal outcomes. The development of innovative synbiotics that inhibit the adhesion and reproduction of multidrug-resistant (MDR) CJ in animals and humans, thereby preserving intestinal homeostasis, is relevant. We have created a synbiotic based on the consortium of 2029 (LC2029), 7247 (LS7247), and a mannan-rich prebiotic (Actigen).

View Article and Find Full Text PDF

On 25-26 April 2024, the 5th PPRI (Pharmaceutical Pricing and Reimbursement Information) Conference on ensuring equitable access to affordable medicines took place in Vienna (Austria). Twenty-four accepted contributions were presented either as oral presentations or posters, adding to invited keynote lectures, stakeholder debates and workshops. The global multi-stakeholder audience discussed a range of approaches in pharmaceutical policies, which have the potential to successfully and sustainably address current and future challenges in ensuring patient access to affordable medicines globally.

View Article and Find Full Text PDF

Modeling nearshore total phosphorus in Lake Michigan using linked hydrodynamic and water quality models.

Ecol Modell

July 2024

National Oceanic and Atmospheric Administration, Great Lakes Environmental Research Laboratory, Ann Arbor, MI.

Article Synopsis
  • Lake Michigan's nearshore regions, influenced significantly by nearby rivers, show total phosphorus (TP) concentrations exceeding the GLWQA's target of 7 μg L, raising concerns about nutrient-related issues.
  • A monitoring program utilizing phosphorus-based models linked to hydrodynamic models was implemented to assess these nearshore conditions, revealing variability in TP concentrations due to the area's dynamic nature.
  • The study found that while model predictions varied, they successfully illustrated temporal and spatial trends, indicating that hydrodynamics and river loads critically influence TP levels, thereby making the TP model a valuable tool for future assessments.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!