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The correct language to refer to someone with a diagnosis of autism spectrum disorder has received a lot of attention in recent years. Studies in English-speaking countries found a main identity-first language (IFL) preference (e.g. autistic person) opposed to a person-first language preference (PFL) (e.g. person with autism) among adults with autism. However, a recent study conducted in a Dutch-speaking country (the Netherlands) reported a PFL preference (Buijsman et al., 2023). The goal of the current study was to gain insights into language preferences in two Dutch-speaking countries and, in contrast to previous studies, give participants the option to indicate not having a specific language preference. In the current study, we asked 414 Dutch-speaking adults with autism, living either in Belgium or the Netherlands, to fill in an online questionnaire about their language preference. We found that over half of the participants had a PFL preference (54%), followed by having no preference (27%). Only 14% of them had an IFL preference, and 5% proposed another term. Having more years of education was identified as a predictor for having an IFL preference when compared to a PFL preference, while being older predicted having no preference compared to a PFL preference. The majority of Dutch-speaking adults with autism showed a PFL preference, which is in contrast to findings from English-speaking countries, but in accord with a recent study conducted in the Netherlands (Buijsman et al., 2023). Implications of this finding for language use are discussed.
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http://dx.doi.org/10.1007/s10803-023-06192-3 | DOI Listing |
IEEE Trans Neural Netw Learn Syst
September 2025
Personalized federated learning (PFL) has become a hot research topic that can learn a personalized learning model for each client. Existing PFL models prefer to aggregate similar clients with similar data distribution to improve the performance of learning models. However, similarity-based PFL methods may exacerbate the class imbalance problem.
View Article and Find Full Text PDFIEEE Trans Neural Netw Learn Syst
September 2025
Currently, due to the different distribution of data for each user, many personalized federated learning (PFL) methods have emerged to meet the personalized needs of different users. However, existing methods have two problems: 1) in the aggregation process, the contribution between the internal layers of the client model is not considered and 2) it is difficult to match the quantitative weight information of both user privacy protection and performance with their qualitative preferences during the training process. Therefore, we first propose a framework for federated aggregation with interlayer personalized contribution named FedIPC, which completes model aggregation based on the contribution of internal layers and improves client model performance.
View Article and Find Full Text PDFJ Vis
December 2024
Department of Psychological and Brain Science, University of California, Santa Barbara, CA, USA.
Humans consistently land their first saccade to a face at a preferred fixation location (PFL). Humans also typically process faces as wholes, as evidenced by perceptual effects such as the composite face effect (CFE). However, not known is whether an individual's tendency to process faces as wholes varies with their gaze patterns on the face.
View Article and Find Full Text PDFAutism
October 2024
Teachers College, Columbia University, USA.
J Autism Dev Disord
June 2025
Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium.
The correct language to refer to someone with a diagnosis of autism spectrum disorder has received a lot of attention in recent years. Studies in English-speaking countries found a main identity-first language (IFL) preference (e.g.
View Article and Find Full Text PDF