Two experiments were conducted in which participants performed a vehicle dispatching task. The intensity of one information source (vehicles in Experiment 1, destinations in Experiment 2) was varied to examine the effects of salience and discrimination on both searching for and processing the information in a cluttered display. Response times were recorded for questions either requiring focused attention on or divided attention between the different information domains in the map. The results of the present experiments indicate that it is possible to declutter a display without erasing any information. By 'lowlighting' one information domain and keeping the other domain at a fairly high intensity level, dividing attention between the information sources is optimal, as is focusing attention on either of the information domains exclusively. These results are discussed in conjunction with a computational model of confusion and salience which serves to predict search and integration performance in a cluttered display with separate domains of information displayed at different intensities.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1163/1568568041920195 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Acoustic Exaggeration Enhances Speech Discrimination in Young Autistic Children.
Autism Res
December 2024
Psychiatry and Addictology Department, CIUSSS-NIM Research Center, University of Montreal, Montreal, Quebec, Canada.
Child-directed speech (CDS), which amplifies acoustic and social features of speech during interactions with young children, promotes typical phonetic and language development. In autism, both behavioral and brain data indicate reduced sensitivity to human speech, which predicts absent, decreased, or atypical benefits of exaggerated speech signals such as CDS. This study investigates the impact of exaggerated fundamental frequency (F0) and voice-onset time on the neural processing of speech sounds in 22 Chinese-speaking autistic children aged 2-7 years old with a history of speech delays, compared with 25 typically developing (TD) peers.
View Article and Find Full Text PDFNovel Digital Anomalies, Hippocampal Atrophy, and Mutations Expand the Genotypic and Phenotypic Spectra of CNKSR2 in the Houge Type of X-Linked Syndromic Intellectual Development Disorder (MRXSHG).
Am J Med Genet A
December 2024
Neurological Disorders Research Center, Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Doha, Qatar.
The Houge type of X-linked syndromic intellectual developmental disorder (MRXSHG) encompasses a spectrum of neurodevelopmental disorders characterized by intellectual disability (ID), language/speech delay, attention issues, and epilepsy. These conditions arise from hemizygous or heterozygous deletions, along with point mutations, affecting CNKSR2, a gene located at Xp22.12.
View Article and Find Full Text PDFLinks Between Early Prelinguistic Communication and Later Expressive Language in Toddlers With Autistic and Non-Autistic Siblings.
J Speech Lang Hear Res
December 2024
Frist Center for Autism and Innovation, Vanderbilt University, Nashville, TN.
Purpose: The present study explored the extent to which early prelinguistic communication skills predict expressive language in toddlers with autistic siblings (Sibs-autism), who are known to be at high likelihood for autism and language disorder, and a comparison group of toddlers with non-autistic older siblings (Sibs-NA).
Method: Participants were 51 toddlers (29 Sibs-autism, 22 Sibs-NA) aged 12-18 months at the first time point in the study (Time 1). Toddlers were seen again 9 months later (Time 2).
Development of Verb Inflectional Complexity in Palestinian Arabic.
J Speech Lang Hear Res
December 2024
Department of Communication Disorders, Tel Aviv University, Israel.
Purpose: This study describes the development of verb inflectional morphology in an urban dialect of Palestinian Arabic (PA) spoken in northern Israel, specifically in the city of Haifa, and explores the effect of language typology on acquisition.
Method: We analyzed naturalistic longitudinal speech samples from one monolingual Arabic-speaking girl aged 1;11-2;3 during spontaneous interactions with family members.
Results: Initially, truncated forms ("bare stems") were common but disappeared by the end of the study.
Enhancing dysarthric speech recognition through SepFormer and hierarchical attention network models with multistage transfer learning.
Sci Rep
November 2024
Department of Mechatronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Dysarthria, a motor speech disorder that impacts articulation and speech clarity, presents significant challenges for Automatic Speech Recognition (ASR) systems. This study proposes a groundbreaking approach to enhance the accuracy of Dysarthric Speech Recognition (DSR). A primary innovation lies in the integration of the SepFormer-Speech Enhancement Generative Adversarial Network (S-SEGAN), an advanced generative adversarial network tailored for Dysarthric Speech Enhancement (DSE), as a front-end processing stage for DSR systems.
View Article and Find Full Text PDFWant 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!