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INFORMATIN PROCESSING MODELS

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Presentation on theme: "INFORMATIN PROCESSING MODELS"— Presentation transcript:

1 INFORMATIN PROCESSING MODELS
6. Cognition people perceive, think, and remember three stages of human information processing system – perception, central processing or transforming, responding INFORMATIN PROCESSING MODELS top-down processing learning retrieval

2 SELECTIVE ATTENTION PERCEPTION Three Perceptual Processes
not guarantee perception, but necessary to achieve it four factors for the selection of channels to attend salience: bottom-up process, attentional capture (blindness) expectancy, value: top down processes effort PERCEPTION Three Perceptual Processes bottom-up feature analysis unitization: sets of features familiar (represented in LTM), more rapid and automatic than perceptual processing poor bottom-up processing: degradation of visual stimulus (short glance, tiny text, poor illumination) and auditory event (masking noise, low intensity, unfamiliar accents)

3 WORKING MEMORY Human Factors Guidelines in Perception
top-down processing: correct guess from expectations, based upon past experience in LTM; associations between the perceived stimulus and event (frequency and context) Human Factors Guidelines in Perception maximize bottom-up processing maximize automaticity and unitization maximize top-down processing avoid confusion; use a smaller vocabulary; create context; exploit redundancy WORKING MEMORY A Model of Working Memory Baddeley (1986, 1990) – central executive component visuospatial sketch pad – analog spatial form while it is being used phonological loop – verbal info in an acoustic form

4 Limits of Working Memory
Capacity Around 7±2 chunks of information (Miller, 1956) What makes a single chunk  Familiarity based on past experience (LTM), similar to unitization in perception Chunking reduces the number of items in WM, increasing the capacity of working memory Chunking makes use of meaningful associations in LTM  retention of the information Material more easily rehearsed, more likely to be transferred to LTM Perceptual chunks by spatial separation Time Maintenance rehearsal Half life in WM (Card, Moran, Newell, 1986) – 7 sec for a memory store of three chunks and 70 secs for one chunk

5 Human Factors Implications of Working Memory Limits
Confusability and Similarity Attention and Similarity WM is resource-limited Human Factors Implications of Working Memory Limits Minimize WM load Provide visual echoes Provide placeholders for sequential tasks Exploit chunking Physical chunk size – 3 to 4 numbers or letters per chunk Meaningful sequences Superiority of letters over numbers Keeping numbers separate from letters Minimize confusability Avoid unnecessary zeros in codes to be remembered Consider WM limits in istructions

6 LONG-TERM MEMORY Basic Mechanism
Learning, training, retrieval, forgetting Semantic memory (memory for facts or procedures) or event memory Basic Mechanism Strength Frequency and recency of its use Associations WM and LTM Rote memory (rehearsal through simple repetition) Forgetting Weak strength due to low frequency and recency Weak or few associations with other information Interfering associations Recall, recognition

7 Organization of Info in LTM
Info in LTM in associative networks (semantic network) The structure of the database compatible or congruent with the user’s semantic network Schemas and Scripts Schema – the knowledge structure about a particular topic Scripts – schemas that a typical sequence of activities Mental Models schemas about dynamic systems Generates a set of expectancies Population stereotype Cognitive Maps Mental representations of spatial information Mentally straightening Preferred or canonical orientation (mental rotation)

8 LTM Implications for Design
Encourage regular use of info to increase frequency and recency Encourage active verbalization or reproduction of info that is to be recalled Standardize Use memory aids Knowledge in the world vs. knowledge in the head Careful design info to be remembered Design to support development of correct mental models Visibility (affordance) Episodic Memory for Events The personal knowledge or memory of a specific event or episode is acquired from a single experience – very much based on visual imagery  not always faithful “video replays”, having a number of biases Episodic memory process is far from perfect

9 Police lineup recognition – 20% incorrect at all 3 stages of encoding, storage, retrieval
Cognitive interview (CI) – not recognition but recall procedure

10 SITUATION AWARENESS Prospective Memory for Future Events Measuring SA
Failures of prospective memory are forgetting to do something in the future – sometimes called absentmindedness Reminders, checklists SITUATION AWARENESS characterize user’s awareness of the meaning of dynamic changes in their environment Endsley (1995) -- the perception of the elements in the environment within a volume of time and space, the comprehension of their meaning, and the projection of their status in the near future SA is distinct from performance Measuring SA SA global assessment technique (SAGAT) subjective awareness -- metacognition

11 PROBLEM SOLVING AND TROUBLESHOOTING
Importance of SA to Human Factors designing easy-to-interpret displays of dynamic systems an important tool for accident analysis important for training PROBLEM SOLVING AND TROUBLESHOOTING troubleshooting a step within a problem-solving sequence troubleshooting requires a series of tests to diagnose the problem while problem solving involves actions to implement the solution Challenges heavy cognitive activity, and human performance often limited in troubleshooting, two or three active hypotheses in WM troubleshooting closely depend upon appropriate cues and test outcomes  susceptible to attention and perceptual biases

12 PLANNING AND SCHEDULING
an important top-down processing bias in troubleshooting – cognitive tunneling or confirmation bias high system complexity intermittent failures of a given system component PLANNING AND SCHEDULING planning may be invoked in the absence of problem solving in dynamic systems, predicted state and command (ideal) state sluggish (higher inertia) systems – longer range planning the importance to planning – level 3 SA, mental model (simulation) predictive displays

13 METACOGNITION AND EFFORT
meta-knowledge or metacognition – people’s knowledge about their own knowledge anticipated effort – seeking additional information related to selective attention is also related to another metacognition ATTENTION AND TIME-SHARING divide attention – do two or more things at one time resource demand, structure, similarity, resource allocation Mental Effort and Resource Demand the relationship between single-task difficulty and dial-task divided attention decrements -- resource theory automaticity

14 Structural Similarity
structural similarity – the similarity between key processing structures of both tasks in a concurrently performed pair multiple resource theory (Navon & Gopher, 1979; Wickens, 1984, 2002) -- different structures in human information processing behave as if they were supported by multiple resources

15 Task Management and Interruptions
Confusion similarity between items in WM; similarity-based confusion in visual sensation; concurrent performance of two tasks that both have similar material Task Management and Interruptions if interference, then will they both suffer? Or will one or the other be “protected”? dual task performance (primary task vs. secondary task )  task management  resource allocation successful time-sharing strategies – optimal switching of attention between tasks  parallel processing vs. cognitive tunneling

16 Addressing Time-Sharing Overload
Task redesign interface redesign training automation


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