Bruce and Young's theory of face recognition

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Mind Map on Bruce and Young's theory of face recognition, created by hannahmcgrath199 on 06/01/2014.
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Mind Map by hannahmcgrath199, updated more than 1 year ago
hannahmcgrath199
Created by hannahmcgrath199 about 11 years ago
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Bruce and Young's theory of face recognition
  1. Face recognition is an area of psychological research concerned with pattern recognition, which investigates how we process and recognise faces.
    1. Bruce and Young developed one of the most widely accepted models of face recognition. The model essentially presents face recognition as a series of stages which are accessed serially. There are two paths through the model- one for familiar faces and one for recognising facial expressions. The model only applies to face recognition rather than general object recognition or word recognition.
      1. Structural encoding
        1. The process starts with structural encoding. The details of a person's face are encoded or translated into specific information about the features and about the expressions on the person's face. This information is then sent to a range of different units .
        2. Recognising familiar faces
          1. One route through the model is concerned with the recognition of familiar faces. Face recognition units contain information about faces you know. If encoded information has a reasonable match with this information then the FRU is activated and triggers the next node the person identity node (PIN). PINs contain information about the person's identity such as their occupation. Once a person's identity is established then a person's name can be retrieved (NRU). Activation of any of these nodes may draw on the cognitive system to decide whether the match is close enough to constitute recognition.
          2. Recognising facial expressions
            1. The second route of the model is concerned with the other kinds of information provided by faces, such as information about emotional state or information related to what a person is saying. Data from structural encoding is used to work out the meaning of facial expressions (expression analysis node), to use lip movements to help understand what someone is saying (facial speech analysis) and process other facial information (directed visual processing). This route is used when dealing with unfamiliar faces, which accounts for the finding that some people with brain damage can match familiar faces but not unfamiliar faces.
            2. The cognitive system
              1. All the nodes are linked to the cognitive system which provides information as required, for example information about stereotypes (e.g. actresses tend to be attractive) or information about people we (e.g. who we are likely to see at your local shopping centre).
            3. They conducted a diary study where they asked 22 participants to keep a record of the mistakes they made when recognising people over an eight-week period. They found that many errors involved recalling information about the person but not recalling their name, but never recalling their name without some relevant personal identity information. The pattern of these errors is explained by the serial nature of the model (PIN comes before NRU).
              1. Criticism: They used quite a small number of participants do the findings may not be generalisable to the general population.
              2. Supporting study: Young et al. (1985)
                1. Critical study: Gauthier et al. (2000)
                  1. Face recognition isn't special. They found that the FFA was also active when experts were asked to distinguish between different types of bird and different types of car.
                  2. Criticism: The details of unfamiliar face processing are vague, and other components of the model, such as the cognitive system, are also not clearly specified.
                    1. Strength: The main strength of the model is that it generates precise precisions that can be tested, and that can further our knowledge of face recognition. The model also spells out the differences in the way familiar and unfamiliar faces are processed.

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