Feature Attribution
Feature Attribution - Related Videos
00:56
Attribution Theory
0 Views •
2020
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). An internal factor is an...
01:14
Fundamental Attribution Error
0 Views •
2020
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 called the fundamental attribution...
01:26
Attribution
0 Views •
2025
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...
01:19
Personal Choice and Fate Attributions
0 Views •
2025
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...
05:42
Visual Search for Features and Conjunctions
0 Views •
2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University How do people find objects in cluttered visual scenes? Think, for example, of looking for keys on a messy desk, finding the ripest-looking fruit at the grocery store, locating your car when you can’t quite remember where you parked it, or finding an old friend at an airport exit gate. Clearly, an understanding of visual perception is going to play a role in any answers, and more specifically, an understanding of visual attention...
FAQs
The chosen baseline defines the reference output against which a model’s prediction is evaluated. Changing that reference can change the apparent contribution assigned to an input feature, even when the model and data remain unchanged. Engineers therefore need to interpret attribution values in relation to the baseline, especially when comparing operating conditions or assessing design variables.
One approach compares the model’s output with and without selected features, directly examining the change associated with their removal. Another distributes the prediction among features according to their effects, while accounting for interactions. The first emphasizes output differences from feature exclusion; the second provides an allocation of predictive influence across the input set.
When features affect a prediction together, their apparent importance may depend on how their joint effects are handled. Feature attribution can account for these interactions rather than treating every input as independent. This matters when sensor readings, design variables, or operating conditions combine to influence a model, because ignoring that dependence may conceal unexpected system relationships.
First identify the inputs whose influence needs to be understood, such as sensor readings, design variables, or operating conditions. Then select a comparison or contribution approach and specify the baseline used for interpretation. Reviewing the resulting feature contributions can support model evaluation and reveal dependencies that warrant closer engineering investigation.
Attribution results can highlight sensor readings or operating conditions that most influence a model’s prediction. In a fault-diagnosis setting, engineers can use those influential inputs to focus attention on potentially relevant parts of system behavior rather than reviewing every available variable equally. The result is a more targeted basis for investigating model-indicated problems.
By showing which inputs drive predictions, the analysis helps engineers check whether a model relies on influential variables that make sense for the system. It can also expose unexpected dependencies, informing risk assessment and targeted improvements. These findings contribute to evaluating whether a predictive model is transparent and reliable enough for its intended engineering use.