Cognitive Technologies in Enhancing Human Efficiency - Research Paper Example

Cognitive Technologies in Enhancing Human Efficiency ID Number Western Governors Cognitive Technologies in Enhancing Human Efficiency The introduction of cognitive technologies mostly in the 20th century has changed the overall concept within all fields that touches on human experiences. Cognitive technologies play significant roles through extending the power of information technology where such roles were traditionally performed by individuals. They assist in ensuring organizations break existing trade-offs found between speed, cost as well as quality within the overall organization structure. It is important to understand the concept behind cognitive technologies and their relationship with human beings through cross examining specific issues. For example, computers do not possess the ability to think, but increasingly, they ensure performance of tasks that only individuals managed to do with accuracy, efficiency and limited time. Currently, automating tasks that depend on the perceptual skills of individuals is achievable through the use of cognitive technologies. These tasks may include handwriting recognition, face identification as well as other cognitive skills. Examples of cognitive skills relate to planning, reasoning from partial or unclear information and learning. Thesis Statement: Research shows that cognitive technologies enhance human efficiency as a result of dynamic access to information as well as redistributing between people and intelligence tools while also ensuring efficiency and effectiveness. Al-Azmi, A. A. R. (2013). Data, text and web mining for business intelligence: a survey. International Journal of Data Mining & Knowledge Management Process, 3 (2) The author of the above journal discuses how intelligent data management and analysis applications aid individuals in finding about trends as well as relationships. These issues are achieved through implementation of various techniques among them text mining as well as web mining among others. Scholars currently possess capability of understanding how there exists continuous relationships and interactions setting across huge data base and diverse social media platforms. Al-Azmi (2013) provides a lot of information relating to how user behaviors, expectations, as well as needs get studied. The work of Al-Azmi serves as a reference since the work presents an excellent literature review that is essential in assisting the reader to understand the power of cognitive technologies in a deeper context. The significant focus examined by the author aims at examining how cognitive technologies play a significant role in ensuring interactions among individuals from various realms. While Al-Azmi presents the importance of cognitive technology in enhancing relationships across individuals, the next article presents a different perspective that focuses on how cognitive technology adoption enhances user satisfaction and performance. Bentivoglio, C. A., Bonura, D., Cannella, V., Carletti, S., Pipitone, A., Pirrone, R., .Rossi, P.G. & Russo, G. (2010). Intelligent Agents supporting user interactions within self regulated learning processes. Journal of e-Learning and Knowledge Society, 6, 27-36. In the presented journal article, the authors present clear statements that guide the reader in understanding how cognitive technologies have proved instrumental in ensuring improvements of user satisfaction and performance. The approach is attributed to the concept of efficiency and effectiveness from the part of the user of these cognitive technologies as opposed to relying on human mind while performing every task. Therefore, Bentivoglio et al (2010) present an opinion that indicates how developments of cognitive tools as well as techniques that possess self-regulatory capabilities ensure better outcomes. The use of a computer as a major example that resulted from the aspect of cognitive technology and the role it plays in handling calculation issues is provided by the author. Computers are fed with programs that enhance effective and efficient calculations while at the same time detecting errors while performing the calculations. The programs fed within the system helps in recognizing the right procedures without making errors a challenging issue for humans. Therefore, individuals rely on computers to ensure effective results while performing calculations and end up with satisfaction with the performance. It is also important to note the time factor that is associated with computational work and manual work and cognitive technologies presents an upper hand. Therefore, selection of the article resulted from the authors’ use of real examples of cognitive technologies. However, while the authors of the article present the application of cognitive technology in ensuring satisfaction and performance, they fail to account for demands of the cognitive technologies in the modern world. The next article therefore, explores how and the reason behind the demand of cognitive technologies. Dascal, M., & Dror, I. E. (2005). The impact of cognitive technologies. Pragmatics and Cognition, 13, 451-457. In their journal article, Dascal and Dror (2005) successfully examine cognitive technologies as per the demands of contemporary world. The authors show that the cognitive tools can be put in use to improve user performance by the means of process redistributions and semantic understanding of things among others. The paper is selected for present research because it contains an exhaustive coverage of the topic that explores how people can benefit most from intelligence tools and cognitive methods. The next journal explores an area that the current journal fails to discus on issues relating to the role of cognitive technology in assisting in improving the cognitive abilities across different individuals. Gillespie, A., Best, C., & ONeill, B. (2012). Cognitive function and assistive technology for cognition: A systematic review. Journal of the International Neuropsychological Society, 18, 1-19. The journal article presents a significant work in assisting the reader to understand how cognitive tools and techniques can be used to enhance the physical and mental abilities of persons with disability. Gillespie et al (2012) illustrate that cognitive functions involve various activities that stems from calculation, self consciousness, attention as well as memorization among others. Even mentally retarded and handicapped persons may gain considerable help through assistance in conducting the key cognitive functions. The authors provide a developed framework of ATC that proves that technology possesses the capability of effectively improving human efficiency even in the case of physical and/or mental impairments. The paper is thus selected since the authors explain the conception of assistive technology in improving cognitive abilities. The next article derived from a book chapter presents a new version that the previous articles fail to discuss through examining the capability of cognitive technology in capturing human behavior. Lenk, J. C., Droste, R., Sobiech, C., Lüdtke, A., & Hahn, A. (2012). Towards cooperative cognitive models in multi-agent systems. In COGNITIVE 2012, The Fourth International Conference on Advanced Cognitive Technologies and Applications (pp. 67-70). The work derived from a chapter of an edited book comprises of important theoretical information relating to cognitive technology. The authors hold that cognitive models possess the capability of capturing the different patterns of human behavior. Subsequently, they allow for risk assessments and forecasting. Hence, the authors presents a view that portrays how a shared paradigm of bottom-up organization modeling can effectively supplement novel work-process redistribution blueprints. The paper is selected as a reference because the research has been supported by strong academic correlation around developing a deeper understanding of the role of cognitive technologies in improving organizational performance. Cognitive behavior of individuals is related to the scientific concept with the next article presenting an interrelationship between cognitive technologies and cognitive science. Pinker, S. (2010). The cognitive niche: Co-evolution of intelligence, sociality, and language. Proceedings of the National Academy of Sciences, 107, 8993-8999. In this paper, the author attempts to explore the theoretical basics of cognitive sciences. Instead of using the Darwinian conception of human intelligence, the author has stressed on the approach of co-evolution as formulated by Alfred Russell. Hence, less explored ways of human reasoning have been analyzed in the paper along with lots of scholarly references. Although the approach of the work is rather scientific than technical, it serves the purpose of theoretical research and conceptual analysis. With reference to the proposed research, the paper is essential in elucidating the basic concepts around human intelligence and the process of abstraction in the context of cognitive reasoning and other similar activities. The importance of cognitive technology in the modern societal setup is also a major consideration as systems do not work alone whether in the scientific field or in real life and the next article examines the approach of cognitive technology towards modernization. The next article puts into consideration the aspect of cognitive technology in relation to internet usage an indication of the importance of cognitive technology in enhancing municipal services provision. Vlacheas, P., Giaffreda, R., Stavroulaki, V., Kelaidonis, D., Foteinos, V., Poulios, G., Demestichas, P., Somov, A., Biswas, A.R. & Moessner, K. (2013). Enabling smart cities through a cognitive management framework for the internet of things. Communications Magazine, IEEE, 51, 102-111. Dynamic accessibility of data is emerging as a standard necessity for Internet users. In the article under discussion, Vlacheas et al (2013) shows that powerful Internet applications aided by cognitive technologies remain useful in integrated municipal services. In urban life, it is the starting point of building smart cities. The infrastructure of such an urban landscape would culminate at creating Internet of Things or IoT. The IoT will provide the users with a more intelligent edition of communication networks. The paper can be utilized for showing that high level integration of different kinds of technologies will eventually help us in providing much better municipal and infrastructure-related services. The use of cognitive technology in data accessing is essential but the article fails to expound further on the importance of the data to the major users of such data mostly businesses. Therefore, the last article examines the importance of cognitive technology around business economics. Wieder, B., Chamoni, P., & Ossimitz, M. L. (2012). The Impact of Business Intelligence Tools on Performance: A User Satisfaction Paradox? International Journal of Economic Sciences and Applied Research, 3, 7-32. The journal article is useful in explaining how cognitive intelligence can help in improving user activities around business economics. By using the example of Australian Stock Exchange, the authors attempt to establish the usefulness of key cognitive models in the realm of technology integration and business intelligence. The task of transforming crude data into actionable policy pointers is an example of people’s interaction with intelligence tools. At the micro-level of enterprise resource planning and analytical business process management, importance of cognitive understanding is widely accepted. Wieder et al (2012) conclusively state that there exists an urgent need of expanding our understanding of and acceptance toward more technology usage and adoption. Woods, D. D. (1985). Cognitive technologies: The design of joint human-machine cognitive systems. AI Magazine, 6, 86-92. In the above paper, the author works around developing a hypothetical but ideal computer consultant specialist in human-computer interaction. However, the hypothetical approach helps on exploring the various scholarly perspectives on cognitive technology itself. According to Woods (1985), certain problems occur in designing an optimal cognitive system. For example, solutions provided and/or decisions made by a machine may not always be compatible with the level of human intelligence, where more intuitive implications might be required at least on certain occasions. The paper is important because it has ample material for understanding the history of the development of cognitive systems. In conclusion, cognitive technologies play a significant role in enhancing human efficiency through dynamic access to information and sharing between individuals and intelligence tools while also ensuring efficiency and effectiveness. Cognitive technologies evolvement continues to occur over time duration as emphasized by the articles of various scholars presented in the paper. While many attributes are linked with the impact of cognitive technologies on human life and the society, what the studies present relates to too much beneficial aspects from the part of the human species. It is therefore important to note that cognitive technology has enhanced in changing the life of human beings in all aspects of life through enhancing efficiency in every undertaking. References Al-Azmi, A. A. R. (2013). Data, text and web mining for business intelligence: a survey. International Journal of Data Mining & Knowledge Management Process, 3 (2). Bentivoglio, C. A., Bonura, D., Cannella, V., Carletti, S., Pipitone, A., Pirrone, R., .Rossi, P.G. & Russo, G. (2010). Intelligent Agents supporting user interactions within self regulated learning processes. Journal of e-Learning and Knowledge Society, 6, 27-36. Dascal, M., & Dror, I. E. (2005). The impact of cognitive technologies. Pragmatics and Cognition, 13, 451-457. Gillespie, A., Best, C., & ONeill, B. (2012). Cognitive function and assistive technology for cognition: A systematic review. Journal of the International Neuropsychological Society, 18, 1-19. Lenk, J. C., Droste, R., Sobiech, C., Lüdtke, A., & Hahn, A. (2012). Towards cooperative cognitive models in multi-agent systems. In COGNITIVE 2012, The Fourth International Conference on Advanced Cognitive Technologies and Applications (pp. 67-70). Pinker, S. (2010). The cognitive niche: Co-evolution of intelligence, sociality, and language. Proceedings of the National Academy of Sciences, 107, 8993-8999. Vlacheas, P., Giaffreda, R., Stavroulaki, V., Kelaidonis, D., Foteinos, V., Poulios, G., Demestichas, P., Somov, A., Biswas, A.R. & Moessner, K. (2013). Enabling smart cities through a cognitive management framework for the internet of things. Communications Magazine, IEEE, 51, 102-111. Wieder, B., Chamoni, P., & Ossimitz, M. L. (2012). The Impact of Business Intelligence Tools on Performance: A User Satisfaction Paradox? International Journal of Economic Sciences and Applied Research, 3, 7-32. Woods, D. D. (1985). Cognitive technologies: The design of joint human-machine cognitive systems. AI Magazine, 6, 86-92. Read More