Human processor model: Difference between revisions

Revision as of 17:44, 7 September 2019

Revision as of 16:01, 24 February 2020

Line 1:

{{no footnotes|date=June 2015}}

'''Human processor model''' or MHP (Model Human Processor<ref name=":0">{{Cite book|url=https://archive.org/details/psychologyofhuma00stua|title=The psychology of human-computer interaction|last=K.|first=Card, Stuart|date=1983|publisher=L. Erlbaum Associates|others=Moran, Thomas P., Newell, Allen.|isbn=9780898592436|___location=Hillsdale, N.J.|oclc=9042220|url-access=registration}}</ref>) is a cognitive modeling method developed by [[Stuart K. Card]], [[Thomas P. Moran]], & [[Allen Newell]] (1983) used to calculate how long it takes to perform a certain task. Other cognitive modeling methods include parallel design, [[GOMS]], and [[KLM (humankeystroke-computerlevel interaction)model]] (KLM).

Line 9:

The human processor model uses the cognitive, perceptual, and motor processors along with the visual image, working memory, and long term memory storages. A diagram is shown below. Each processor has a cycle time and each memory has a decay time. These values are also included below. By following the connections diagrammed below, along with the associated cycle or decay times, the time it takes a user to perform a certain task can be calculated. Studies into this field were initially done by [[Stuart K. Card]], [[Thomas P. Moran]], & [[Allen Newell]] in 1983<ref name=":0" />. Current studies in the field include work to distinguish process times in older adults by Tiffany Jastrembski and Neil Charness (2007).

== How Toto Calculatecalculate ==

The calculations depend on the ability to break down every step of a task into the basic process level. The more detailed the analysis the more accurate the model will be to predict human performance. The method for determining processes can be broken down into the following steps.

* Write out main steps based on: a working prototype, simulation, step by step walk-through of all steps

Line 33:

| Eye movement time

| 230 ms

| 70-70070–700 ms

|-

| Decay half-life of visual image storage

| 200 ms

| 90-100090–1000 ms

|-

| Visual Capacity

| 17 letters

| 7-177–17 letters

|-

| Decay half-life of auditory storage

| 1500 ms

| 90-350090–3500 ms

|-

| Auditory Capacity

| 5 letters

| 4.4-64–6.2 letters

|-

| Perceptual processor cycle time

| 100 ms

| 50-20050–200 ms

|-

| Cognitive processor cycle time

| 70 ms

| 25-17025–170 ms

|-

| Motor processor cycle time

| 70 ms

| 30-10030–100 ms

|-

| Effective working memory capacity

| 7 chunks

| 5-95–9 chunks

|-

| Pure working memory capacity

| 3 chunks

| 2.5-45–4.2 chunks

|-

| Decay half-life of working memory

| 7 sec

| 5-2265–226 sec

|-

| Decay half-life of 1 chunk working memory

| 73 sec

| 73-22673–226 sec

|-

| Decay half-life of 3 chunks working memory

| 7 sec

| 5-345–34 sec

|}

== Potential Usesuses ==

Once complete, the calculations can then be used to determine the probability of a user remembering an item that may have been encountered in the process. The following formula can be used to find the probability: ''P = e''^''-K*t'' where ''K'' is the decay constant for the respective memory in question (working or long term) and ''t'' is the amount of time elapsed (with units corresponding to that of ''K''). The probability could then be used to determine whether or not a user would be likely to recall an important piece of information they were presented with while doing an activity.