When a voluntary action is followed by an unexpected stimulus, a late positive potential (LPP) with a posterior scalp distribution is elicited in a latency range of 500-700 ms. In the present study, we examined what type of mismatch between expectations and action outcomes was reflected by the LPP. Twelve student volunteers participated in a task simulating choice of TV programs. After choosing one of three options displayed as a cue stimulus, they viewed a second stimulus (still TV image). To manipulate the type of expectation, three kinds of cue conditions were used: thumbnail image condition (three small TV images), category label condition (three words), and no cue condition (three question marks). Over trials, the second stimulus either matched (p = .80) or mismatched (p = .20) the chosen option. As compared to matched TV images, mismatched TV images elicited a larger LPP (500-700 ms) in the thumbnail image and category label conditions. In addition, a larger centroparietal P3 (400-450 ms) was elicited to mismatched TV images in the thumbnail image condition alone. LPP reflects a conceptual mismatch between a category-based expectation and an ensuing action outcome, whereas P3 reflects a perceptual mismatch between an image-based expectation and an action outcome.
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http://dx.doi.org/10.1007/s10484-011-9157-y | DOI Listing |
J Imaging
August 2024
School of Information Studies, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.
While it is common for blind and visually impaired (BVI) users to use mobile devices to search for information, little research has explored the accessibility issues they encounter in their interactions with information retrieval systems, in particular digital libraries (DLs). This study represents one of the most comprehensive research projects, investigating accessibility issues, especially help-seeking situations BVI users face in their DL search processes. One hundred and twenty BVI users were recruited to search for information in six DLs on four types of mobile devices (iPhone, iPad, Android phone, and Android tablet), and multiple data collection methods were employed: questionnaires, think-aloud protocols, transaction logs, and interviews.
View Article and Find Full Text PDFPLoS One
August 2024
College of Media and Communication, Texas Tech University, Lubbock, Texas, United States of America.
As science media content creators strive for inclusivity in communication design and promotion, they must consider the influence of audiences' identities on their engagement with science media. A gender gap in viewership or "missing audience" has been identified for women viewers for educational science content on digital media; one such example of this is Deep Look, a science video series from KQED public media and PBS Digital Studios distributed on YouTube. This study used a mixed method design (1) to examine women's preferences for Deep Look YouTube video promotions (i.
View Article and Find Full Text PDFJAMA Netw Open
May 2024
Department of Communication & Media, University of Michigan, Ann Arbor.
Importance: Free video-sharing platforms (VSPs) make up a high proportion of children's daily screen use. Many VSPs make algorithmic recommendations, appearing as thumbnail images from the video, which content creators use to advertise their video content.
Objective: To explore how VSP thumbnails use attention-capture designs to encourage engagement with content and to test whether VSP algorithmic recommendations offer more problematic thumbnail features over time.
J Hand Surg Asian Pac Vol
April 2024
Royal Children's Hospital, Melbourne, Australia.
Congenital dorsal curvature of the distal phalanx has been previously described as 'reverse Kirner' or 'ski-jump' deformity. This report describes bilateral occurrence in the thumbs. A 13-year-old male presented with difficulty caring for his thumbnails and in picking up small objects.
View Article and Find Full Text PDFHistopathology
June 2024
Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany.
Background: Artificial intelligence (AI) has numerous applications in pathology, supporting diagnosis and prognostication in cancer. However, most AI models are trained on highly selected data, typically one tissue slide per patient. In reality, especially for large surgical resection specimens, dozens of slides can be available for each patient.
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