The cognitive process is the performance of some composite activity. It is also known as the “the process of thinking”.
In Human-Computer Interaction, understanding how a human think when interacting with computers is crucial. The feedback, the information transfer between parties, the input and output are the concepts involved in the cognitive process. Overall, it affects how the design of various computers or devices are implemented.
For this week blog, we will focus on 2 of the core cognitive processes, the Memory and the learning process.
Memory is probably one of the most important cognitive process. It involves invoking the brain to recall knowledge that has been acquired through the experiential process such as navigating a set of menu for a particular software, or in a non computing scenario it can be the daily routine of going grocery shopping. The ability of the human brain to save the things learned is a key tool during designing.
For an example we will look at SenseCam, a neckworn camera that helps to take picture of the daily life of the user. The main purpose is to help users who are suffering from poor memory to aid in recalling events that they have been through.
Employing a technique called Rapid Serial Visual Presentation (RSVP), it allows a increased reading rate of text/images and users are able to recall the day events in just a matter of minutes.
As of October 2009, SenseCam technology was licensed to Vicon and more products such as Vicon Revue are readily available on the market.
The Cognitive Aspect & the Design Implications
This is a very reflective cognition as users are required to invoke on their thoughts to stimulate the recovery of his or her memory. Playing on the human abilities to remember images than text, the projection of the images will greatly aid in these situations.
Another important point is the way the device operates. Dealing with the issues of ‘forgetfulness’, the device does not need to be operated manually any time of the day. It captures photo based on the sensors that are built in it and users do not have to worry about having to operate the device to ensure that there is sufficient or even critical pictures that should be taken.
In the learning cognitive process, learning play a important part in affecting how a human react to certain scenarios. It changes the behavior of the human based on the experiential experience that the person been through, and it can also affect the brain in doing mental association. In short it can also be known as “using thinking to learn”.
Learning can be broken down in 4 basic levels
For example, a flight instructor may explain to a beginning student the procedure for entering a level, left turn. The procedure may include several steps such as: (1) visually clear the area, (2) add a slight amount of power to maintain airspeed, (3) apply aileron control pressure to the left, (4) add sufficient rudder pressure in the direction of the turn to avoid slipping and skidding, and (5) increase back pressure to maintain altitude. A student who can verbally repeat this instruction has learned the procedure by rote. This will not be very useful to the student if there is never an opportunity to make a turn in flight, or if the student has no knowledge of the function of airplane controls.
With proper instruction on the effect and use of the flight controls, and experience in controlling the airplane during straight-and-level flight, the student can consolidate these old and new perceptions into an insight on how to make a turn. At this point, the student has developed an understanding of the procedure for turning the airplane in flight. This understanding is basic to effective learning, but may not necessarily enable the student to make a correct turn on the first attempt.
When the student understands the procedure for entering a turn, has had turns demonstrated, and has practiced turn entries until consistency has been achieved, the student has developed the skill to apply what has been learned. This is a major level of learning, and one at which the instructor is too often willing to stop. Discontinuing instruction on turn entries at this point and directing subsequent instruction exclusively to other elements of piloting performance is characteristic of piecemeal instruction, which is usually inefficient. It violates the building block concept of instruction by failing to apply what has been learned to future learning tasks. The building block concept will be covered later in more detail.
The correlation level of learning, which should be the objective of aviation instruction, is that level at which the student becomes able to associate an element which has been learned with other segments or blocks of learning. The other segments may be items or skills previously learned, or new learning tasks to be undertaken in the future. The student who has achieved this level of learning in turn entries, for example, has developed the ability to correlate the elements of turn entries with the performance of chandelier and lazy eights.
The Cognitive Aspect & the Design Implications
Both experiential and reflective cognition are involved in the learning process. As seen in an example above, the act of thinking and decision making is part of the process of learning what makes a good and effective choice. Coupled with the experiential learning such as reacting or perceiving each and every action, it combines together to form the human cognitive learning.
How does this thinking process affects a design? Knowing how a user can learn through a device will indicate to a designer what are the various aspect that the designer should look out for. For example, making users to execute repetitive steps every time he or she uses a particular software will over time teach the user how to use the software, making it a much more pleasant experience for the user. Another example is designing of a smartphone. Having learned how a smartphone should react to a user input, users are given an expectation of what to expect from a smartphone. Therefore to remove certain functionality from a smartphone will not be ideal.
There is no doubt a association between the human cognition and a design of a device of software. Understanding how to human process its thoughts and predicting certain feedback is key in facilitating the design process.