Development of Human Computer Interface

Development of Human Computer Interface Development of Human Computer Interface Based on Cognitive Model Integrated With Data Mining Techniques M. Mayilvaganan, D. Kalpanadevi Abstract First review concern about the relevant literature survey in order to evaluate the performance of learning ability and knowledge, behavior, attention, by the category of cognitive skills which is analyzed by various data mining techniques. In this paper focus the concepts of cognitive process and data mining techniques which are used to evaluate the usability of system based on metrics for analyzing problem solving resources. The implementation of cognitive process in the Human computer Interface(HCI) system contributes to give better performance of the human behavior which will be analyses by data mining technique of classification and clustering process can be proposed to evaluate the knowledge of person in efficient manner. This implies that the skills will be stimulated over time through intentional support and also helps for various resources based on different categorize. Keywords: GOM Model, Data mining techniques, Human Computer Interface system, Observational method, C4.5, Naà ¯ve Bayes, K-means, Weka Tool. Introduction Data mining also called Knowledge Discovery in Databases (KDD) in the field of discovering novel and potentially useful information from large amount of data. In recent years, there has been increasing interest on the use of data mining to investigate scientific questions for problem solving analysis, an area of human thinking, behavior, analyse the performance from the knowledge criteria are gathered by the techniques of data mining [1]. An ability of cognitive performance is essential in various environment, which is influenced by many qualitative attributes are included for forming the data set. Data mining techniques such as K-nearest neighbor, decision tree, Naà ¯ve Bayes, Neural network, Fuzzy, Genetic and other techniques are applied in various environments [3]. This paper describes about literature survey on to analyse the cognitive performance integrates with data mining techniques. 2. Cognitive process in Human Computer Interaction (HCI) Human computer interaction is concerned with how people use computer system to perform tasks, usually in a real life work setting. To evaluate the competing task by using usability criteria based on cognitive models. Cognitive processes is the process that involve knowledge, attention, memory, producing and understanding the language, problem solving and decision making. All these are very important for human behavior. The working process of each task can be analyzed by data mining techniques for finding the human behavior, attitude and attention performance in respect way. 2.1 Collecting Qualitative Data through Cognitive process Scope of knowledge is accumulated information, problem solving schemas, performance skills, expertise, memory capacity, problem representation ability, abstraction and categorization abilities, synthesis skills, long-term concentration ability, motivation, efficiency and accuracy. Data which is collected by using variety of techniques like Video and audio recording, software logging, Scan converters, think- aloud protocols or pencil and paper field notes. These techniques can be followed by several cognitive models such as GOM model, KLM model, Cognitive complexity which has to be evaluating by language based model such as Command Language grammar, Task Action Language, Task Action Grammar, and Knowledge Analysis of tasks. In cognitive complexity, the tasks can be assessed by analysing the number of entities that have to be related in a single representation. For eg: The hypothesis ideas such as collecting the personal data, family background, academic details, extracurricular activities, activities while during studies etc., are the basic attributes for analysing the performance skill for required person. The techniques are outlined for analysis of cognitive complexity in general cognition, cognitive development, mathematics education, reasoning tasks, psychometric test items, and industrial decision making, problem solving etc. The role of questionary format on the basis of problem solving, reasoning task, behaviour methods to analyse in effective way. 2.2 GOMS Model GOMS model stands for Goals, Operators, Methods, and Selection rules needed to perform a task. Tasks are broken down into their components to predict performance times. Figure.1 represents the process of GOM model describe as Goals are objectives Operators are the actions that change the system state or the cognitive state. Methods are description of procedures for achieving goals stored in the user’s knowledge structure of the task built-up for the problem solving. Fig.1 GOM model Selection Rules are If †¦Then statements to enable the user to choose between the methods under the time complexity. 2.3 Keystroke Level Model (KLM) KLM is derived from GOMS and describes the time taken to execute sub-task using the system facilities. Total time taken for an action is arrived at by simply adding together the times for each component task. To obtain the predicted time for a task and add the times for individual operators based on Fitt law, Steering Law. 2.4 Cognitive Complexity Theory Cognitive complexity theory is an extension of GOMS. It attempts to predict how difficult learn and use a system will be base on a GOMS model of the task and its required knowledge, a model of the user current knowledge and a list of the items of knowledge to be learned in order for the user to be able to make error- free use of the system. 2.5 Knowledge Analysis of Tasks (KAT) KAT is an evaluate model to identify the task gathered from variety of techniques including interviews and questionnaires, observation, rating scales, repertory grids and conduct online test for problem solving. The completed tasks will analysis for the performer by producing the result. KAT involves several stages such as Identify the person goals, sub goal and subtasks Work out order in which sub goal are to be carried out. Identify task strategies. Identify procedures. Identify Task Objects and Actions. 3. Data Mining Concepts Integrates To HCI The variety of domain values which are related with performance based on their required result carried out by cognitive process model. From fig.1 shows such factor may be founded by means of analysis based on data mining techniques. Usability criteria can be measured by setting performance targets in the system design at the stage of effectiveness, learning ability, and flexibility, attitude which is evaluated by either survey or experimental method. An analytical evaluation method is followed by the GOMS model, KLM model and Cognitive complexity theory for end-user testing through knowledge task analysis. After observational evaluation happened, the collection of data will be stored in the database. Using data mining techniques, preprocessing, data cleaning and transformation are carried out for avoid the redundancy and clear the noisy data from the database. After preprocessing, several algorithms are applied to discover the knowledge and performance factor are analysed to identify the human ability. 4. Data mining techniques An application of Data mining is a rich focus of Classification algorithm, Association algorithm, Clustering algorithm which can be applied to the field of some resources it concerns with developing methods that discover the knowledge from data originating from any other resource environment. Fig.1. Methodology Process of analyse skill by Data Mining Techniques 4.1 Classification Techniques In Classification process, the derive model is to predict the class of objects whose class label is unknown. The derived model is based on the analysis of asset of training data. In educational data mining, the work of data was predicted by logical rule of the Classification algorithms with the represent of common domain values for analyzing the qualitative performance of required details. In this case study, it can be predicting the human behavior through HCI by given the problem solving question, observational process and other resources. In this technique, it can be classified the functioning of cognitive style such as logical reasoning, analytical ability, Numerical ability, balanced profile for skill learning, personality analysis and other styles for analyzing the skill for the human user from the collected dataset systematically. In C4.5 algorithm construct in which enhanced by ID3 algorithm and it works in divide and conquer method. At the beginning stage the root is present to associate with training data set. The rule set is formed from the initial state of decision tree. Each path from the initial state, the condition will be evaluate and simplified by the effect of rule and an outcomes will put on the required leaf, the step will continuous when it comes discarding the condition. Let freq (Ci, S) stand for the number of samples in S that belong to class Ci (out of k possible classes), and à ¯Ã¢â‚¬Å¡Ã‚ ½Sà ¯Ã¢â‚¬Å¡Ã‚ ½ denotes the number of samples in the set S. Then the entropy of the set S: equation (1) After set T has been partitioned in accordance with n outcomes of one attribute test X: equation (2) gain (x) = info (T) infox(T) In Naà ¯ve Bayes algorithm, to reduce computation in evaluating P (X|Ci), the naive assumption of class conditional is made. This presumes that the values of the attributes are conditionally independent of one another, given the class label of the tuple. The data set predicts that tuple X belongs to the class Ci. equation (3) By Bayes’ theorem, the classic for which P (Ci |X) is maximized is called the maximum posteriori hypothesis. P (Ci |X) = P(X|Ci)P(Ci) / P(X) equation (4) The classic for which P (Ci |X) is maximized is called the maximum posteriori hypothesis. It can easily estimate the probabilities P(x1|Ci)Ãâ€"P(x2|Ci)Ãâ€" ·Ã‚ ·Ãƒâ€"P(xn|Ci) from the training tuples by the following relationship. equation (5) 4.3 Clustering Techniques Cluster analysis is used to segment a large set of data into subsets called clusters. It is the process of grouping or organizing a set of objects into distinct group based on some similarity or dissimilarity measure among the individual objects, such that the objects in the same group are more similar to each other than those in other groups [2]. Through this technique, it can be cluster the skill level in style wise or any other pattern and analyse in each cognitive style in grouped manner. In this paper, K-means clustering can be used to analyse the classification of training tuple from the rule base relation, then it can be grouped the performance of skill in pattern wise. K-means algorithm takes the input parameter and partitions a set of n objects into k clusters. Cluster similarity is measured in regard to the mean value of the objects in a cluster based on center of gravity. For each of the remaining object is assigned to the cluster based on the distance. Iteration can be repeated until the function can satisfied. equation (6) where E is the sum of the square error for all objects in the data set; p is the point in space representing a given object; and mi is the mean of cluster Ci, the distance from the object to its cluster center is squared, and the distances are summed. The resulting of k clusters as compact and group can be formed for the required pattern. Experimentation of Training Data set and Result Analysis Using Data mining Techniques From this research survey, it can be analysed and produced an idea to propose the human performance based on cognitive process through Human Computer interface by interacting from computer system. The training data set can be experimented in data mining techniques to analysis the behavior of the human user via computer system. In this experiment, Classification technique approach was obtained accuracy to classification for forum data. Using Weka tool the classification algorithm was provided to experiment with sample data set by the given attributes like logical reasoning, numerical ability and personality for analyse the skill level of human user. Through clustering technique it can be analysed the performance of skill level from the classified training data set. Weka provides the range of the functioning in style wise and estimates the accuracy of resulting predicting model in classification algorithms are C4.5 and Naà ¯ve Bayes techniques used in the analyzing process. These techniques are decision making rule process which can be worked in probability evaluation model on the analysis of a set of training data. If logical_reasoning = good and Numerial_ability = good and personality=good then Performance= Good_skill_user If logical_reasoning = poor and Numerial_ability = poor and personality=good then Performance= Average_skill_user If logical_reasoning = poor and Numerial_ability = poor and personality=poor then Performance= below _average _skill_user TABLE.1: PERFORMANCE MEASURE FOR TRAINING DATA OF 200 SAMPLE INSTANCE From table.1, shows the measuring the performance of execution time and correctly classified instance based on the proposed algorithm for predicting in rule. In second experiment, the data clustering method can be used for checking the similarity based on the criteria of performance like Good skill user, Average Skill user and below average skill user using K-means algorithm technique. Fig. 2: Clustering Performance in pattern wise analysis 6. Conclusion In this studied, it can be concluded that an idea of Human computer interface which integrate with respect to cognitive models for analyzing human behavior of skill gathered by using problem solving using data mining techniques. By using 200 instance of sample training data set, which can be predicted by the rule of classification techniques of C4.5 and Naà ¯ve Bayes algorithm which can be produced their efficiency are C4.5 classified by execution time of accuracy is 0.25 second and 170 instance are correctly classified. Naà ¯ve Bayes algorithm classified by execution time of accuracy is 0.1 second and 142 instances are correctly classified. From the above analysis more instance of classifier is C4.5 algorithm was well suited for classification to skill analysis. Finally, it can be analysis by category wise based on pattern then produce 80% of Good skill user, 40% of Average Skill user and 5% below average skill user using K-means clustering algorithm. References 7.1 Book [1] Jiawei Han and Micheline Kamber, Data Mining: Concepts and Techniques, 2nd ed., Morgan Kaufmann Publishers, 2006. Arun K Pujari, â€Å"Data mining techniques†, University Press (India) Private Limited. David Hand, Heikki Mannila adhraic Smyth, â€Å"Principles of Data Mining†, MIT Press, 2001. Anderson, J.R, ‘The Architecture of Cognition’, Harvard University Press, Cambridge (1983). 7.2 Journal Article [5] Richard E.Clark, â€Å"Cognitive Task Analysis†, October 14, 2006. [6] Chipman, S. F., Schraagen, J. M., Shalin, V. L., â€Å"Introduction to Cognitive task analysis† [7] David H. Jonassen, â€Å"Analysis of Task Procedures†, Copyright [emailprotected] 1986. 7.3 Conference Proceedings [8] Bainbridge, L. â€Å"The change in concepts needed to account for human behaviour in complex  dynamic tasks†, IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and  Humans, 27, 351–359. [9] Arbi Ghazarian, â€Å"Pauses in man-machine interactions: a clue to users â€Å" Skill levels and their user  interface requirements†, Int. J. Cognitive Performance Support, Vol. 1, No. 1, 2013. [10] Sheikh,L Tanveer B. and Hamdani,S., Interesting Measures for Mining Association Rules.  IEEE-INMIC Conference December. 2004. [11] M. O. Mansur, M.Sap and M. Noor, â€Å"Outlier Detection Technique in Data mining: A Research  Perceptive†, In Postgraduate Annual Research Seminar, 2005. 1

Findings Analysis Essay

I have found out my primary information about the idea of ‘slim-line kitchen electrical appliances ‘ by doing a quota sampling, which meant dividing the population into various age groups and backgrounds and carrying out questionnaires. In my results in source 14, which is my questionnaire, the first question shows the gender of the amount of people that help fill in the questionnaire. Out of 150 people that I questioned only 36.6% were males and females a greater percentage of 63.6(%). This shows that on average most of the people I questioned were females. Source 2 also supports this idea as it states that the majority of people living in England are females at 51%. Also the details in source 6 show the gender of people that purchase brown and white goods, the larger percentage goes towards the women at 54%. Also an evidence of this statement that there are more women than men in GB is illustrated in source 2, it shows that in 2003 there were more women than men- and that I think has increased during recent years because source 2 shows that women are at 51% of the population in UK, then source 6 shows women are at 54 and source 14 [the questionnaire] shows they are at 63 percent (you can see that in the chart below that shows these results), and I predict this is going to escalate far more in a years or so time; which means if S and S plc was to choose their target group then in my opinion women should be targeted not only for their percentage as a whole but as for the person that makes decisions about where the kitchen appliances go and what should be bought. The second question in the questionnaire asks for the age groups of the person that is filling in the questionnaire; the most widely held answer is the 45-54 age group. On a percentage out of 150 people 48% of the people come in that particular age group. Although my source 2 says that the majority of the people living in Great Britain are either between the age group of 35-44 or above 65, however my source is over 3 years old, which could make big difference as related to new market, but maybe the area that I was doing the questionnaire in; the majority of the people were between 45 and 54. The rest of the questionnaire still supports the idea of what S and S plc is trying to introduce. This means they have now got an idea of what the population’s wants and needs are. S and S plc need to confirm the target age group and then plan sale strategies. Question 4 asks the people what newspapers they read. Out of a variety of newspapers most of the people wrote their answer as ‘The Daily Telegraph’, 62% out of 150 people. This question is not completely pointless as it is a method of advertising for many companies including electrical stores such as Dixons, Comet and Currys. According to my source 12 quite a big percentage of the expenditure that a business is ready to pay for advertising belongs to the press area /newspapers. Out of 10 different electrical stores 76% of the money they spend on advertising is in the press column. Therefore it would be very beneficial for S and S plc to put their ads into the two top particular newspapers ‘Daily Telegraph’ being the top. Another quite high percentage of the advertising goes into the radio, which is also another method for S and S plc to attain more awareness. The next question asks the people how many people live in their household, majority of the people answered ‘4’ to the question. Out of 150 people 30% said ‘4’. Source 4 of my secondary data illustrates that 13.2% of the people out of 25,220 people have 4 persons living in their household and the majority of the people answered ‘2 persons’ out of the same audience 34.9% to be exact, however we know that my secondary information is about 2 years old which only shows me old data that is not accurate but as we know now the majority of the people have 4 persons in their household, because as times go on people make more decisions. This means that there are more people living in a single household now as opposed to 2 years ago, therefore white goods will be necessary for them in their daily life unlike single people living alone don’t need as much white goods because they won’t use it a lot. So if S and S plc were to get targets then goi ng for the more colonized houses because they will be a god idea and these will be their ideal customers. Question six asks the people what circumstances will aid them to consider buying slim white goods to replace them with the old. The choices included from ‘new models introduced’, ‘moving house’, ‘changing their kitchens’ and/or ‘when their old goods break down’. The majority of the people answered as when they move houses, 62.6% out of 150 people agreed to that. This gives S and S plc the opportunity to sell their products, if they know how many people are moving houses on average they can work out the amount of the kitchen electrical appliances that they need to produce, this will maintain the sale of the slim-line white goods as the results in source 5 show the statistics that, there are increasingly more people that either move or as a result separation move to another home alone. If S and S plc want to boost their sales they have to advertise it to the people that are moving houses [as white goods are very important in a househo ld, it is almost a necessity]. Source 3 also shows that the majority of the people in 1 household are 2 persons. And as more people move into the same house there is an even greater need of white goods, and as some houses are quite cramped slim-line white goods is the best option so that sort of people should be target to the S and S plc. Question seven enquires the people how long ago was the last time that they purchased/changed their white good. The majority of the people answered this question as last 5 years which sums up to be 48% out of the total of 150 people. This shows that the majority of people will not spend frequently on white goods as they are only replaced when they are damaged or too much out of date, this is simply because that the people are already used to the way that that particular white good works. Also another reason for people not to change their white goods purchased in last 5 years is that the white goods technology hasn’t changed much in the last 5 years so no reason to change their white goods, but as source 8 of my raw information shows that there is an increasing demand of new technology therefore sale for the slim-line white goods will produce profit to S and S plc as the â€Å"savvy consumers† is the prime driver of the market. The pie chart in the same source reveals th at the second highest percentage of consumers spending on electricals belongs to the household appliances this is a 23% of the expenditure. Question eight asks the people where they purchase their kitchen appliances; the applicants were given four choices out of which 3 were specialist retailers and one non-specialist. However you would expect a specialist such as Curry or Dixon’s to rule this sort of market, but the majority of the people’s answer was ‘other specialist retailer’ as these two retailers I mentioned are not experts and do not sell all brands that the people might be looking for. Some people have had good experiences with some brands that they wish to keep with. I predicted the majority of the shares should be owned by Dixon’s; this is also what my sources show namely source 11; it shows that the majority of the shares in the market belonged to these retailers in 2004. Source 9 of my raw information states that non-specialist such as ASDA and Tesco have a more constant product offering which is a step beyond WIGIG [when its gone its gone offer] that specialist retailers use as their sale strategies. These non-specialists sell varieties of brands and at a low cost too, thus increasing their sales. Source 9 also shows the statistics in the electrical retail market that this has caused. It has attracted customers from other markets such as PC and Audio-Visual markets because people would rather buy the same thing cheaper. This means that S and S plc should also increase and expand the variety of electrical goods the sell and do not necessarily have to be a specialist retailer for white/slim-line goods. This will increase their sales and give them a higher reputation in the electrical retail market. The ninth question in the questionnaire enquires if changes in the circumstances were to occur; [including those mentioned in question six], would they consider buying i.e. replacing them with slim-line versions of the goods. The majority of the people out of 150 answered â€Å"Yes†, this concluded to 86% the rest 14% answered â€Å"No†. People don’t find the urge to replace their existing electrical appliances as quick as any other item in the household, this is because these can be shared and it is only going to be a waste if you used it once and then dispose of it especially when it costs a lot. So as seen in question 6, most people will only replace their kitchen electrical goods when they move house. The idea of slim line appliances in kitchen is new so many people will not be too comfortable with using these, therefore sales for these will not increase soon after the promotion. According to the results I for this question it looks like quite a high percenta ge of people want to try it out and have a vision of what they will be when they buy them, because they know this will save space in their house no matter what the amount of people in the household. There are a number of reasons why people would want to purchase slim-line kitchen electrical goods. One that I think is different than any other is efficiency of the goods. If it saves the customers money, they will defiantly choose this item to last for a long time. Source 7 states ‘The largest amounts of customer spending go on housing/electricity/gas & other fuels’, so slim-line kitchen electrical goods were to decrease the money spent they would be able to buy more goods as they get more ‘disposable income’ SAY SOME STUFF ABOUT THE NEWSPAPER ARTICLE !!. What S and S plc needs to do is to advertise their product so that it illustrates that it is efficient and takes less space they need to take this measurement in the plotting of the sale strategy, this could be S and S plc’s unique selling point, something that distinguishes S and S plc from other retailers. In source 7 [i.e. fig.11] you can see the statistics as to how much people spend on the men tioned factors. From the graph above you can see that even though the expenditures are increasing slowly if not very swiftly. This you can see in the tale where in the %change column you can see that even though expenditures were increasing as a percentage in midyear intervals for many years, it is slowly levelling out/decreasing. Question 10 asks the people if they were given a choice to own a slim-line kitchen electrical good would the replace it with their existing ones. 59.3% of the people answered yes. As I said, for replacement of kitchen electrical goods slim-line kitchen electrical appliances are best suited as they as well as being efficient this will also be more modern and will take less space, so this offers the customers an opportunity to work more efficiently and in a better/ bigger space. HELP!!! Question eleven is entitled to find out what the motivation is that leads the sales of kitchen electrical appliances in the market. The question was ‘ What motivates you to buy a new kitchen electrical appliance?’ We provided them with four possible answers these included the price, its capacity, brand name or energy efficient. A high percentage of people were motivated by looking at the appliance’s capacity, which is vital because if it has to be shared it must be sufficiently big. This added up to 21.3% of the people out of 150 that help fill the questionnaire. The higher percentage [48%] of the people said they were motivated by the price, so if it was cheap and had a big capacity more customers would purchase the product. Not much of the credit went to the brand name, although I would have guessed this would be a bigger motivation to the people because when many people have had experience with one brand they stick to it and pass on their reviews, then again it isn’t very often that people buy kitchen electrical appliances and it’s models changes from year to year. This means that when S and S plc rules the JnK plc companies in Asia, they won’t have much difficulty with introducing new products into the market and sell as much as possible. However more credibility goes to energy efficiency, so some people are interested in saving money per annual rather than once, at the purchase time, this answer was chosen by 12% of the total. This question too links to source 7 as it shows that more people are decreasing the amount of money spent on electricity, gas, & water etc. It shows that less people are ready to pay a lot of money for these appliances. The last question finishes off the questionnaire with asking the people if slim-line kitchen electrical appliances were in the market would the people buy them. The majority of the people chose to buy their goods only if their circumstances were to change. This means that even though slim-line kitchen electrical goods are a big success they will only be purchased when they need to replace them because people don’t want to change their kitchen appliances too frequently, only when they move or if the old one is broken. 42.3% of people chose this for an answer. This means that people are not desperate to own one but they reckon it is a good idea to own one Well this questionnaire gave S and S plc a good guidance on what the market is like and if slim-line kitchen electrical appliances would sell in that market and to choose their target and unique selling point.

Md. Al Amin Essay

Tree plantation, trees are generally one of the many elements which constitute our own surrounding. Tree planting, In case within a granted spot, woods tend not to really exist inside ample ratio to be able to males, earth, creatures, atmosphere as well as normal water, this ecological equilibrium receives disturbed and living gets to be complicated or maybe not possible. There are many types of fruit trees exist in the world like, banana trees, bonsai trees, paulownia tree, palm trees, almond tree, mango tree, rubber tree, neem trees. Tree plantation, they provide hardwood for various uses and give shade and protection to the individuals. These people catch the attention of confuses and result in rainwater which stops desertification method. One of the main resources from where many of us fulfill our own requirement of heat energy will be fire-wood given by woods. Trees cover quite a lot of our own foods deficiency by giving fruit and vitamin products by tree planting. Tree Plantation, These people avoid earth erosion and produce this territory fertile. These people produce marvelous moments and precede all of us along with pleasure and joy by Tree Plantation. Thus woods are generally our own great close friends plus they are beneficial to all of us in several ways. Moreover they present barks and foliage required for creating medications. Your negative effects on the scarcity associated with woods have already been turning up. You will find individuals who have no idea of the truly great positive aspects that people gain via woods. Tree Plantation, These people thoughtlessly kill woods and vegetation a great deal so that our own do parts have grown to be blank. Thus tree planting or planting associated with woods in order to cover this hole is crucial for our everyday living Tree Plantation, Thus eve year within the stormy season it can be declared from the applicable functionaries on the federal government which vegetation can belted within the towns and towns on a specific period-called Tree Sugar plantation Fortnight’. Tree Plantation, Our own federal government is fairly knowledgeable to the circumstance that is certainly within the offing. Tree Plantation, hat motion associated with a forestation features, by now, accumulated any impetus. Tree Plantation, in the week these applicable sections on the federal government present a lot associated with vegetation associated with unique types to the individuals for planting. People get notice this utility associated with woods and their monetary benefit. Tree  Plantation, Every person associated with Bangladesh not only Bangladesh ought to carry desire for properly woods. Not simply within the countryside, inside towns and metropolitan areas in addition should individuals occur ahead to join this particular motion. Your woods planting motion must be created profitable. Every residence, college, medical center, higher education, along with other organizations should be way up and accomplishing to be able to vegetable different kinds associated with woods the many year round of their back yards and property. So everybody should plant for the planet by Tree Plantation.

Argument Of Galileo Dialogue Summary - 1965 Words

Galileo’s Dialogue on the Two Chief World Systems uses powerful logic and simply described concepts to overcome the Aristotelian bias of the populous and argue in favor of Copernicus’ heliocentric view of the universe. Copernicus theorized that the earth, along with the other planets in the sky, is in motion around the sun. The Aristotelian’s geocentric worldview, that the earth is the motionless center of the universe, was deeply ingrained into the minds of the people and the teachings of the church. Galileo’s argument had to be not only incisive and logical to have any sway, but it also had to avoid offending or denying the ancient principles of thought proposed by Aristotle. He walked this delicate line between educating the public and†¦show more content†¦In parroting the principles of Aristotle, they â€Å"do not notice how much damage they do to his reputation, how much discredit they bring him, and how much they diminish his authority inst ead of increasing it† (199). These men take Aristotle’s good name and drag it through the mud by claiming that every one of his sayings is absolute truth, rather than the best possible hypothesis he could have made with his level of technology. By undermining the arguments of his opponents in this way, Galileo frees himself up to defer to Aristotle’s logical principles without invoking quotations of his conclusions. While Galileo holds little respect for those who take Aristotle’s theories at face value, he shows no lack of respect for the great philosopher himself. Galileo applauds the fact that Aristotle’s works are examined and closely studied, and â€Å"only blame(s) submitting to him in such a way that one blindly subscribes to all his assertions and accepts them as unquestionable dictates† (200). Galileo’s arguments for heliocentrism would convince any layman of their truth, but his opponents are so set in their ways that they would be unwilling to even listen to his concepts. When an opponent relies on ancient words and does not use ration to come to their beliefs, it is impossible to use ration to convince them otherwise. Galileo, in his effort to contest what his opponents consider incontestable,Show MoreRelatedGalileo1646 Words   |  7 PagesPueblo Community College Galileo Life after punishment Joe Davalos History 102 Western Civilization II Mr. Richard L. Rollins May 1, 2014 Joseph Davalos Mr. Richard Rollins History 102 Western Civilization II April 10, 2014 Galileo: life after punishment Galileo Galilei, born February 15, 1564 was a mathematics professor a scientist, astronomer and physisist. He attended the University of Pisa to study medicine in 1583. He was fascinated with many subjects, particularlyRead MoreGalileo And The Scientific Revolution1549 Words   |  7 Pages Quick Facts Name Galileo Occupation Astronomer, Scientist Birth Date February 15, 1564 Death Date January 8, 1642 Did You Know? 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