Park, Sung Hea
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Park, Sung Hea
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- PublikationNaming images in aphasia: effects of illustrative and photographic images on naming performance in people with and without aphasia(Taylor & Francis, 03.05.2022) Reymond, Claire; Widmer Beierlein, Sandra; Müller, Christine; Kuntner, Katrin Petra; Falcón García, Noelia; Grumbinaite, Indre; Hemm-Ode, Simone; Degen, Markus; Parrillo, Fabrizio; Karlin, Stefan; Park, Sung Hea; Blechschmidt, Anja; Reutimann, Ricarda [in: Aphasiology]Background: Picture naming is a common tool in aphasia diagnosis and therapy. However, opin-ions differ as to which type of image (e.g., photographs, drawings) is most suitable for naming tasks and whether there is a difference on naming correctness and latencies based on image type. Moreover, recent studies have mainly analysed colour photographs and black-and-white line drawings leaving out image types like graphic representations that apply image features that can facilitate naming such as colour, controlled size, or texture. Aims: To shed more light on ap-propriate image types for persons with aphasia, we created graphic representations depicting nouns and verbs and compared them to photographic stimuli in a naming task including persons with aphasia (PWA) and a control group (CG). Methods & Procedures: 33 PWA and 33 age matched persons (CG) participated in the study. Naming correctness and latencies were meas-ured in two different conditions: concepts depicted as coloured photographs vs. as graphic rep-resentations. 128 pictures of linguistically controlled German-language concepts (64 nouns, 64 verbs) had to be named. The designed graphic stimuli were developed by professional designers based on photographs. The photographs were selected from stock image databases according to a defined image concept. This image concept was based on empirical findings regarding im-age features that facilitate naming (e.g., colour, texture, shading) and was applied to the selec-tion of the photographs as well as to the creation of the graphic representations. The images were presented in pseudo-randomized sequences on a tablet and all reactions of the participants were videotaped. The data from the main study was analysed using generalized linear mixed models (GLMM) and linear mixed models (LMM).01A - Beitrag in wissenschaftlicher Zeitschrift