Humans have a remarkable capacity for tuning their communicative behaviors to different addressees, a phenomenon also known as recipient design. It remains unclear how this tuning of communicative behavior is implemented during live human interactions. Classical theories of communication postulate that recipient design involves perspective taking, i.e., the communicator selects her behavior based on her hypotheses about beliefs and knowledge of the recipient. More recently, researchers have argued that perspective taking is computationally too costly to be a plausible mechanism in everyday human communication. These researchers propose that computationally simple mechanisms, or heuristics, are exploited to perform recipient design. Such heuristics may be able to adapt communicative behavior to an addressee with no consideration for the addressee's beliefs and knowledge. To test whether the simpler of the two mechanisms is sufficient for explaining the "how" of recipient design we studied communicators' behaviors in the context of a non-verbal communicative task (the Tacit Communication Game, TCG). We found that the specificity of the observed trial-by-trial adjustments made by communicators is parsimoniously explained by perspective taking, but not by simple heuristics. This finding is important as it suggests that humans do have a computationally efficient way of taking beliefs and knowledge of a recipient into account.
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http://dx.doi.org/10.3389/fnhum.2012.00253 | DOI Listing |
Syst Rev
January 2025
Department of Nursing and Midwifery, Faculty of Health Sciences, Mountains of the Moon University, Fort Portal, Uganda.
Background: HIV-related stigma remains a key barrier to the attainment of the UNAIDS global goal of ending AIDS by 2030. Due to the social and contextual nature of HIV-related stigma, community-based interventions may be more effective in addressing it. In this review, we synthesized evidence on the effectiveness and features of community-based interventions against HIV-related stigma in Sub-Saharan Africa.
View Article and Find Full Text PDFJ Stomatol Oral Maxillofac Surg
January 2025
Department of Oral Maxillofacial Surgery; The First Affiliated Hospital of Fujian Medical University, Fuzhou, China. Electronic address:
Background: The thin anterolateral thigh flap (tALTF) is gaining attention in reconstructive surgery due to its aesthetic and functional advantages. However, its clinical safety and outcomes compared to other commonly used free soft flaps (CUFSFs) remain unclear.
Methods: Studies were systematically searched from PubMed, EMBASE, Medline, Cochrane, Web of Science, and China National Knowledge Infrastructure Database up to November 2, 2024.
Otol Neurotol
February 2025
Department of Otolaryngology-Head and Neck Surgery, Mayo Clinic, Rochester, Minnesota.
Objective: To analyze the use of electrical field imaging (EFI) in the detection of extracochlear electrodes in cochlear implants (CI).
Study Design: Retrospective cohort study.
Setting: Tertiary academic medical center.
Otolaryngol Head Neck Surg
January 2025
Department of Otolaryngology-Head and Neck Surgery, Lewis Katz School of Medicine, Philadelphia, Pennsylvania, USA.
Objective: Solid organ transplant (SOT) recipients carry a higher incidence of cutaneous squamous cell carcinoma (cSCC) with more aggressive features and worse outcomes compared to immunocompetent (IC) patients. The National Comprehensive Cancer Network advocates peripheral and deep en-face margin assessment such as Mohs micrographic surgery (MMS) for very-high-risk cSCC. We aim to assess the efficacy of MMS in the treatment of SOT immunosuppressed head and neck (HN) cSCC patients.
View Article and Find Full Text PDFCommun Stat Theory Methods
March 2024
Division of Biostatistics, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, 53226, Wisconsin,USA.
Competing risks data in clinical trial or observational studies often suffer from cluster effects such as center effects and matched pairs design. The proportional subdistribution hazards (PSH) model is one of the most widely used methods for competing risks data analyses. However, the current literature on the PSH model for clustered competing risks data is limited to covariate-independent censoring and the unstratified model.
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