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1.
Prev Sci ; 18(8): 1006-1016, 2017 11.
Artigo em Inglês | MEDLINE | ID: mdl-28842828

RESUMO

For the current study, we developed and tested a biopsychological model to combine research on psychological tension, the Limited Capacity Model of Motivated Mediated Message Processing, and the endocrine system to predict and understand how people process anti-drug PSAs. We predicted that co-presentation of pleasant and unpleasant information, vs. solely pleasant or unpleasant, will trigger evaluative tension about the target behavior in persuasive messages and result in a biological response (increase in cortisol, alpha amylase, and heart rate). In experiment 1, we assessed the impact of co-presentation of pleasant and unpleasant information in persuasive messages on evaluative tension (conceptualized as attitude ambivalence), in experiment 2, we explored the impact of co-presentation on endocrine system responses (salivary cortisol and alpha amylase), and in experiment 3, we assessed the impact of co-presentation on heart rate. Across all experiments, we demonstrated that co-presentation of pleasant and unpleasant information, vs. solely pleasant or unpleasant, in persuasive communications leads to increases in attitude ambivalence, salivary cortisol, salivary alpha amylase, and heart rate. Taken together, the results support the initial paths of our biopsychological model of persuasive message processing and indicate that including both pleasant and unpleasant information in a message impacts the viewer. We predict that increases in evaluative tension and biological responses will aid in memory and cognitive processing of the message. However, future research is needed to test that hypothesis.


Assuntos
Modelos Psicológicos , Comunicação Persuasiva , Transtornos Relacionados ao Uso de Substâncias/prevenção & controle , Adolescente , Adulto , Feminino , Humanos , Masculino , Projetos Piloto , Adulto Jovem
2.
Patient Educ Couns ; 104(10): 2536-2543, 2021 10.
Artigo em Inglês | MEDLINE | ID: mdl-33810913

RESUMO

OBJECTIVE: Persons with aphasia (PWA) face additional barriers to proper healthcare due to inadequate patient education by health professionals unequipped to use augmentative and alternative communication (AAC). The current study examines a digital application that evokes and sustains health information processing through AAC specifically aimed at increasing comprehension with augmented input (AI). METHODS: A digital application designed to educate PWA about their health condition was compared to a video-recorded doctor providing oral-only education. Sixteen PWA received both education interventions in a crossover manner. Health information processing was assessed through heart rate (HR) and skin conductance levels (SCL), which were collected continually during each administration of education interventions. RESULTS: PWA demonstrated greater cognitive processing of health information via HR and SCL indices during the digital application compared to the typical oral-only education intervention. The oral-only intervention led PWA to disengage with health information. CONCLUSION: By combining visuographic materials and adapted language into a customizable narrative structure, digital applications can utilize AI to educate PWA about basic health information (i.e., diagnosis and prognosis). PRACTICE IMPLICATIONS: The current study's AAC requires minimal training and can be used as an aided support in conjunction with other techniques that increase PWA's access to health information.


Assuntos
Afasia , Acidente Vascular Cerebral , Compreensão , Humanos , Narração , Acidente Vascular Cerebral/complicações , Acidente Vascular Cerebral/terapia , Sobreviventes
3.
Adv Methods Pract Psychol Sci ; 1(4): 501-515, 2018 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-31886452

RESUMO

Concerns have been growing about the veracity of psychological research. Many findings in psychological science are based on studies with insufficient statistical power and nonrepresentative samples, or may otherwise be limited to specific, ungeneralizable settings or populations. Crowdsourced research, a type of large-scale collaboration in which one or more research projects are conducted across multiple lab sites, offers a pragmatic solution to these and other current methodological challenges. The Psychological Science Accelerator (PSA) is a distributed network of laboratories designed to enable and support crowdsourced research projects. These projects can focus on novel research questions, or attempt to replicate prior research, in large, diverse samples. The PSA's mission is to accelerate the accumulation of reliable and generalizable evidence in psychological science. Here, we describe the background, structure, principles, procedures, benefits, and challenges of the PSA. In contrast to other crowdsourced research networks, the PSA is ongoing (as opposed to time-limited), efficient (in terms of re-using structures and principles for different projects), decentralized, diverse (in terms of participants and researchers), and inclusive (of proposals, contributions, and other relevant input from anyone inside or outside of the network). The PSA and other approaches to crowdsourced psychological science will advance our understanding of mental processes and behaviors by enabling rigorous research and systematically examining its generalizability.

4.
Politics Life Sci ; 36(2): 37-48, 2017.
Artigo em Inglês | MEDLINE | ID: mdl-29355102

RESUMO

Recent research has revealed the complex origins of political identification and the possible effects of this identification on social and political behavior. This article reports the results of a structural equation analysis of national survey data that attempts to replicate the finding that an individual's negativity bias predicts conservative ideology. The analysis employs the Motivational Activation Measure (MAM) as an index of an individual's positivity offset and negativity bias. In addition, information-seeking behavior is assessed in relation to traditional and interactive media sources of political information. Results show that although MAM does not consistently predict political identification, it can be used to predict extremeness of political views. Specifically, high negativity bias was associated with extreme conservatism, whereas low negativity bias was associated with extreme liberalism. In addition, political identification was found to moderate the relationship between motivational traits and information-seeking behavior.


Assuntos
Negativismo , Política , Identificação Social , Comportamento , Humanos , Modelos Psicológicos , Personalidade , Inquéritos e Questionários
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