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Attribution Theory00:56

Attribution Theory

13.8K
Behavior is a product of both the situation (e.g., cultural influences, social roles, and the presence of bystanders) and of the person (e.g., personality characteristics). Subfields of psychology tend to focus on one influence or behavior over others. Situationism is the view that our behavior and actions are determined by our immediate environment and surroundings. In contrast, dispositionism holds that our behavior is determined by internal factors (Heider, 1958).
13.8K
Fundamental Attribution Error01:14

Fundamental Attribution Error

13.8K
According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
13.8K
Attribution01:26

Attribution

282
In social interactions, individuals frequently seek to understand the motivations and causes behind others' behaviors. This fundamental aspect of social perception, known as attribution, plays a crucial role in shaping interpersonal relationships and guiding future actions. Attribution refers to the cognitive process through which people infer the reasons behind others' behaviors, allowing them to assess character traits, intentions, and situational influences.Attribution Theory and Its...
282
Personal Choice and Fate Attributions01:19

Personal Choice and Fate Attributions

171
Some individuals interpret life events as a consequence of their personal choices and actions, while others believe that outcomes are dictated by fate or destiny. This divergence in perspective has been examined in psychological and cross-cultural studies, particularly in relation to religious faith and cultural beliefs about causality.Fate and Personal ResponsibilityPeople who emphasize personal responsibility view events as direct consequences of their decisions. For instance, breaking a leg...
171
Equation of Motion: General Plane motion01:22

Equation of Motion: General Plane motion

575
In the context of a rigid body's movement within a general plane, it is important to understand that this motion is typically triggered by external forces or couple moments exerted onto it. This principle can be explained through Newton's second law, which stipulates the translational motion of the body's center of mass along each axis.
Moreover, the body's center of mass experiences a rotational effect as a result of these couple moments. This rotation can be articulated as the...
575
Theory of Attribution I: Correspondent Inference Theory01:15

Theory of Attribution I: Correspondent Inference Theory

547
Correspondent inference theory, proposed by Jones and Davis in 1965, seeks to explain how individuals infer stable personality traits from observed behaviors. It suggests that people attribute actions to underlying dispositions rather than external circumstances, particularly when the behavior appears intentional and socially significant.Voluntary Behavior and Dispositional AttributionAccording to this theory, individuals are more likely to attribute behavior to personal traits when it appears...
547

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Video Experimental Relacionado

Updated: Jan 31, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

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SENTINEL-DL: un marco forense para la atribución de dispositivos utilizando datos de sensores de movimiento

Attaullah Buriro1, Abdul Baseer Buriro2, Tahir Ahmad3

  • 1School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK. attaullah.buriro@essex.ac.uk.

Scientific reports
|January 29, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Este estudio presenta SENTINEL-DL, un nuevo marco forense que utiliza datos de acelerómetro para vincular la evidencia de movimiento a modelos específicos de teléfonos inteligentes y relojes inteligentes. Logra una alta precisión en la asociación de dispositivos, mejorando la forense digital.

Palabras clave:
forense digitalatribución de dispositivosdatos de sensores de movimientoacelerómetroaprendizaje automáticohuella digital del dispositivo

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Área de la Ciencia:

  • Forense digital
  • Análisis de datos de sensores
  • Aprendizaje automático

Sus antecedentes:

  • El análisis de evidencia digital a menudo se basa en datos almacenados en dispositivos.
  • Asociar la evidencia basada en el movimiento con modelos de dispositivos específicos presenta un desafío.
  • Los métodos forenses existentes pueden carecer de capacidades sólidas de huella digital del dispositivo.

Objetivo del estudio:

  • Presentar SENTINEL-DL, un marco forense novedoso para la asociación de dispositivos utilizando datos de sensores de movimiento.
  • Aprovechar las firmas de movimiento intrínsecas de los acelerómetros para el análisis forense.
  • Mejorar la huella digital digital y la autenticación forense para la evidencia de movimiento.

Principales métodos:

  • Se utilizaron acelerómetros 3D incorporados para perfilar firmas de movimiento intrínsecas resistentes a la manipulación.
  • Se emplearon modelos de aprendizaje automático, incluidas redes aleatorias (RF), redes neuronales profundas (DNN) y redes neuronales convolucionales (CNN).
  • Se compararon datos sensoriales desconocidos con una base de datos de referencia de perfiles de dispositivos.

Principales resultados:

  • Logró una tasa de verdaderos positivos (TPR) del 93,99% para teléfonos inteligentes y del 92,65% para relojes inteligentes.
  • Se reportó una tasa de falsas aceptaciones (FAR) del 0,66% para teléfonos inteligentes y del 1,22% para relojes inteligentes.
  • Demostró una precisión general del 98,76% para teléfonos inteligentes y del 98,97% para relojes inteligentes.

Conclusiones:

  • SENTINEL-DL proporciona una solución ligera y confiable para analizar la evidencia del sensor de movimiento.
  • El marco ofrece un soporte eficaz para la huella digital digital y la autenticación forense.
  • Los datos del sensor de movimiento pueden mejorar significativamente las metodologías de huella digital del dispositivo y verificación forense.