Human Information Processing

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Slides

slides

Readings

The Model Human Processor Chapter 2 of The Psychology of Human-Computer Interaction. Card, Moran & Newell. Only Pages 24-76.

Reading Critiques

Vivien Chang 12:33:51 2/6/2017

This reading was about the Model Human Processor. This can be described by a set of memories and processors together with a set of principles. Additionally, the Model Human Processor can be divided into three subsystems: the perceptual system, the motor system, and the cognitive system. Within the perceptual system, I found it interesting that perceptual events occurring within a single cycle are combined into a single percept if they are similar; the click experiment was a nice example of demonstrating this concept.

Jonathan Hanobik 9:12:39 2/8/2017

Today's reading really enlightened me to how the human processing systems work. The article talked about a human's perceptual, motor, and cognitive systems, and how each interacted with one another. Although I had some difficultly understanding the mathematical equations, I understood the main idea of the article. As software engineers, it's essential that we understand how the human mind and body works in order to develop software that will be efficient and easy to use. Knowing the amount of time it takes a human to perceive, digest, and react to a movement is crucial and allows us to get a better idea about the human processor. Although complex, this article really made me aware about how we, as humans, function when presented with any sort of stimuli or information.

Jason Tucker 12:44:27 2/8/2017

This was an interesting reading. It is an interesting look at human computer interaction that shows how the human mind works and perceives information. This information is important to design good products. This reading looks at the human mind as a machine and provides the numbers and information necessary to design a good user app.

Damani Brown 19:01:09 2/8/2017

This article describes the functions of human interaction with the world around them by analyzing the different subsystems that we use to react to some scenario. While I think the topic of discussion is interesting, I'm not a fan of the amount of math/numbers that were in the reading. However, I did pay close attention to the sections on memory and keying rate. The example they gave with the letters, and the way that we naturally store information in chunks to help us remember it more easily was fascinating to me. Also seeing how the different keyboard configurations could produce better or worse typing rates when compared to the standard Sholes arrangement was interesting.

Chad Pongratz 20:04:39 2/8/2017

This article discusses the human processor model and its functionality. Cognitive modeling methods are one way to evaluate the usability of a product, and furthermore, this method uses experimental times to calculate cognitive and motor processing time. The value that lies with using this model is that it allows the designer of a system to be able to predict the efficiency (performance with respect to time) it takes a person to complete a task without performing experiments...I thought this article was interesting in that is shows how the model uses cognitive, perceptual, and motor processors along with the visual image, working memory, and long term memory storages. I got to learn how each processor has a cycle time and how each memory has a decay time. Overall, I thought the article was interesting and taught me some stuff, and moreover, I can see how this connects to the course as we as designers can better design our apps with knowledge of how long it might take a user to complete a certain activity.

Kyle Plump 21:28:20 2/8/2017

I liked this reading. I found it interesting how it compared a human to a computer. What really stuck out is how in depth they went in the analysis/comparison (representing basic human actions as math)

Christen Reinbeck 22:00:12 2/8/2017

The model human processor is divided into the perceptual, motor and cognitive systems. The combination of these systems results in the mind processing something it sees, and possibly having a motor reaction happen like pressing a key. It was very interesting to see how simple reaction time versus more complex cognitive actions affects the user and how the interface is used. This changes even further should something require the user to provide an answer as opposed to just matching something on the screen. Seeing key stroke rates change and the study was much more complex than I thought.

Zhenya Lindsay 22:11:42 2/8/2017

While this academic method of analyzing human-computer interaction is no doubt useful, I wonder how or if it can be combined with simpler metrics that measure app usability such as surveys and tests. I found it very interesting that the authors of this text decided to take human analysis to a new, more scientific although not very researched level.

Austin Pilz 22:30:33 2/8/2017

I found the reading regarding the human processor to be a very interesting read - it divided up not only human consciousness, but a human being into three distinct parts which would need to be implemented to create a virtual version of ourselves. I found the way that these systems relate to how we might think about application development intriguing, how we must appeal to all of these systems and take them into consideration when designing any interface. The motor system, whether swiping, clicking, or typing - how the human body physically interacts with the app. Will the user have to rotate the device, will they have to move their hands, or just their fingers? The motor system being paired so costly with the cognitive system means that the way in which we react, and the speed at which we can do so, is a consideration worth taking into when developing interfaces. The cognitive system and perceptual system working closely in tandem to perceive, understand and then react to the environment. In the case of app development, how the user would interpret the interface and have to react to it would be a major consideration - is there a pattern that forms, are all interactions familiar, or is there so much difference that there's more effort required on the cognitive in understanding than in memory?

Brett Schuck 22:51:07 2/8/2017

I found today's reading very dense and difficult to digest. I had a hard time transitioning from our other topics in class to this more technical and mathematical look at interface analysis. Hopefully the lecture will help to better my understanding of this material, as my current understanding is very weak.

Gabriel Larson 22:52:19 2/8/2017

I think it is very interesting to think of the human brain in terms of a computer processor. the reading discusses the different subsystems and how each would have its own memory and processor to work efficiently. it even goes into the cycle time of each processor. it is an entirely different way to look at the human mind. one I do not prefer because I don't enjoy computer architecture in the slightest. my favorite subsystem is the motor system. after the thought has been decoded and translated into an action to be performed. the motor system activates the appropriate muscles to do the job. all working together in a perfect ideal human processor. cool stuff. it was really annoying reading this sideways though. :P

Jason Ly 23:04:11 2/8/2017

The first section described the model human processor, which is divided into three subsystems: perceptual, cognitive and motor. In each of these subsystems the reading focused on their capabilities such as long term memory and eye movements. I found the cognitive subsystem the most interesting as it described remembering information in chunks, how quickly short term memory decays and effective ways to put information into long term memory. The second section provided some background to the design choices of everyday things such as keyboard layouts and video frame rates. These design choices were based on the physical, perceptual and cognitive capabilities of humans. I found that this reading would be applicable to our group project as we design our feature layouts. For example placing tabs or features that the user interacts with the most to be closer to where the users fingers and thumbs usually are.

Christopher Thompson 23:19:15 2/8/2017

I thought this was a very interesting reading. I had never thought a human as being comparable to a computer before, but I think the three systems chosen to be compared are a lot like how computers run.

Kyle Legters 23:34:18 2/8/2017

This was a very interesting reading. It provided great deal of how the human mind can be modeled as a processor. The information learned will be very useful as we try to discover the best way to design our group projects, as the semester wears on.

Kyle Legters 23:34:38 2/8/2017

This was a very interesting reading. It provided great deal of how the human mind can be modeled as a processor. The information learned will be very useful as we try to discover the best way to design our group projects, as the semester wears on.

Nick Miller 23:50:44 2/8/2017

Human information processing theory deals with how people receive, store, integrate, retrieve, and use information. This passage shows the different aspects of the perceptual, cognitive and motor systems. It then delves into the actual human performance aspect and gets more specific on the actual anatomy associated with these different systems. After going through the specific details on this reading it gives the critiques and complexities of these systems and how at some points these systems can work against each other. Overall it was a good read, other than being a little bit over technical for what we were trying to get out of it (or what I feel we were supposed to get out of it).

Timothy Smith 0:41:16 2/9/2017

It was very interesting reading about the Model Human Processor and how it acts as an information-processing system. Memories and processors are the basis of this system, all present in the perceptual system, the motor system, and the cognitive system. Reading about this type of stuff is obviously interesting, but what’s most interesting is that this information can be used to make better apps. Having known this information, the developer can better take advantage of how the Human Processor works, targeting different areas, and making better applications. I’m sure if you dug into the most popular apps today, you would find that they target the characteristics that are most common in this Model Human Processor.

Louis Seefeld 1:11:11 2/9/2017

It is interesting that there is so much data readily available on how humans process information. However, presenting so much math and so many figures makes the reading tedious. This kind of information would be really useful if we were doing testing of our own but as we are not, simple guidelines for human processing would be more appropriate.

Michael Zheng 1:13:16 2/9/2017

Overall, I didn't realize how elaborate user study can be, especially with all the research and mathematical analysis. One of the more interesting example that I could relate to was trying to recall memories from long term memory and working memory. It always seemed intuitive to me to recall the beginning of a list of items since those are least recent things you memorized. But now i realize that the probability of recalling the beginning is actually not affected by time since it is stored in your long term memory anyways.

Raj Patel 2:12:42 2/9/2017

The passage dealt with the human cognitive system. However there is a sort of spin on it: the human mind is presented as a computer system. The passage goes into great detail explaining human memory processes, using quantified data and equations to explain the mind processes.

Raj Patel 2:16:14 2/9/2017

The passage discussed the human cognitive system. However there is a little spin on it: the mind is presented a computer system. The passage goes into great detail explaining the mind, as well as functions such as motor skills, utilizing quantified data and equations.

Colin Schultz 3:05:50 2/9/2017

I think it's insane how many parallels are being drawn between the human brain and a computer. I thought it was interesting how the brain could be sliced up into subsystems that interacted with each other: Memory, Motor and Cognitive. It's just funny to think about our brains as computers, and how complex of a computer our brain really is.

Ben Kristofic 2:54:19 2/9/2017

This reading was a programmer's take on the brain and how it worked - it was able to separate the functions out and labeled the brain as a computer system, and I was able to make the connections between functions of the brain and the physical components of a modern day computer. It was a good and challenging read that engaged my critical thinking about the brain.

John Ha 3:19:28 2/9/2017

The readings talks about the human brain as a processor, how it deals with incoming information. It uses tons of math to show how we deal with our cognitive learning, visual stimulation, as well as perception. As app developers, we want to make apps that work best for the target groups ability to retain the information we give them as well as process and execute properly. Although the readings go much deeper into each individual aspect that our brain handles.

Michael Smith 3:26:54 2/9/2017

Having taken a Sensation and Perception Psychology class last semester, it was interesting reading how exactly Human interaction and movement with and within the environment could be calculated and brought down to a exact science. Fitt's law is especially interesting to me. I hadn't realized something as simple as hand movement could in fact be so complex and formalized. I have never before thought of the Human Body in this manner. Seeing how all the parts or systems work together is interesting.

Paul Davis 4:26:58 2/9/2017

This article went into great depth about the idea of a humans as machines. It in very quantifiable terms calculated just what exactly a human body is capable of. It’s really interesting to think about a human in this way, things like how fast can a person really read a text and then extrapolate more information from there. Really understanding how people work and their thought processes is the key to good design. This article brought up a lot of interesting points and idea that I would like to remember going forward.

Emily Hanna 4:43:38 2/9/2017

This reading was about how human minds are comparable in a variety of ways to computers especially in terms of processing and storage. The author provided an abundance of data and numbers about how this can be concluded, utilizing The Model Human Processor defined by its division into 3 systems each further divided into memory and processing to illustrate the point.

Chevaughn Berry 5:01:52 2/9/2017

The Model Human Processor and the idea that human minds are similar to computers were the main themes of the reading this week. It dissected the functions of the human mind in great detail and compared the different systems (focusing on three main subsystems) and parts to the memory and processing power of computers. This reading also looked into humans reaction times in a multitude of settings and applied these findings to making user interfaces most effective.

Ariella Hanna 6:23:48 2/9/2017

I found this reading really difficult to get through. I definitely see the importance of understanding how people process information, but I think the reading was muddied with how technical it was with the physics of it. I think it would be really time consuming to use the given formulas to design an interface and potentially counterintuitive.

Kevin Nash 6:45:01 2/9/2017

The reading has a lot of information on how quickly the information that enters a person's brain decays. It also explains scientifically how fast people can perform tasks similarly to a computer. This kind of information highlights the importance of simple and intuitive mobile interface design. With people having such limited (for lack of a better word) attention spans, only a very well designed interface will be useful to the average person.

Anthony Tummillo 8:57:56 2/9/2017

It had always been obvious to me that the human mind and body worked together in a way that was similar to computer systems, but this was the first time I saw such an extensive relation between the two. Having recently expanded my knowledge of computer systems and the array of devices they can contain, I found the idea of the Model Human Processor fascinating. I was shocked by just how similar humans and computer systems really are. I was especially intrigued by the analysis of human memory (split into perceptual memory, working memory, and Long-term memory) and their relative decay rates and access times.