An Interpretation and Breakdown of Human Computation

Alexander J. Quinn article Human Computation: Charting The Growth Of A Burgeoning Field tells its readers many interesting things about the field of computer science. Computer science has been an interest of mine for quite a long time and I have taken many courses for it at Wheaton College. The field is challenging and anyone pursuing it would need to have the patience to try its challenging problems. They are complex computational problems in computer science known as algorithms and I have had a chance to solve quite a number of them thanks to the computer science department at Wheaton. Quinn’s article talks about an interesting topic of computer science such as human computation. There is more you can learn more about human computation as a whole. The best say this website sums up human computation is by saying that it “is a relatively new research area that studies the process of channeling the vast internet population to perform tasks or provide data towards solving difficult problems that no known efficient computer algorithms can yet solve” (HComp2010).

Quinn had mentioned in his article during the introduction that computer scientists have been working and doing research on artificial intelligence since the 1950s. These computer scientists have been trying to find ways that can allow computers to carry out human-like perks such as language, visual processing and problem solving. If anyone wants to further understand what Quinn meant by his observation in his introduction they should take an introduction computer science course. At Wheaton College they offered me an introduction computer science course called Robots, Programming and Problem Solving (Comp 115). Quinn breaks down task-request cardinality very accurately and I know this from when I was challenged to implement this in Python programming. In one of my computer science classes we had to write a program that implemented Round Robin (RR), First In, First Out (FIFO) and Shortest Job First (SJF). This was done to create a program scheduler that fulfilled the task-request cardinality concept.

Quinn says in the essay that “human computation is a means of solving computational problems” (1, Quinn). I believe the problem of human computation is just understanding basic computer science concepts and solving algorithms for it. If you do not have the time to dedicate to programming or learning computer science they are films in our film culture today that cover artificial intelligence related to the information covered in Quinn’s reading. Two films that are related to Quinn’s reading are the Matrix trilogy and I, Robot (2004). The Terminator films can also demonstrate artificial intelligence as well, but it should only be viewed if you are completely unfamiliar with the concept of artificial intelligence. Hollywood science fiction films can be very inaccurate of what artificial intelligence can potentially be because the directors or storyboard makers for them overestimate the power of artificial intelligence. I believe it will be a very long time or impossible for machines or any sort of computational works to be designed to function exactly like a human being.


Posted in Film & New Media Studies, Uncategorized

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