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COMP 278 Emerging Technologies And Innovation
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COMP 278 Emerging Technologies And Innovation
0 Download5 Pages / 1,174 Words
Course Code: COMP 278
University: Georgian College
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Country: Canada
Question:
Part 1
Write a critical reflection of at least 450 words in which you introduce and critically reflect on an emerging technology listed in Gartner’s 2017 Hype Cycle. Communicate the following:• Describe the technology• State its current use• State its innovation potential. Include your personal thoughts and also that of others.
Part 2
Write a critical reflection of at least 450 words in which you answer the following questions:• What is an online community? What characteristics do they have? Where do they occur? Provide examples, including communities you are part of (if you are part of communities)• Pick an online community site (a real community, not the idea you used in your workshop). Introduce the community and it’s purpose and explain how your selected site encourages commitment from the users. Focus on the most important affective, normative, and needs based strategies used.
Answer:
Part 1
Brain-computer interface
A brain-computer interface is defined as an interface system that provides a platform to communicate with your brain system. We can use this technology for communication between the brain and peripheral devices like computer systems and other electronic devices (Ang, Chua, Phua, Wang, Chin, Kuah, & Guan, 2015). This is an advanced technology through which we can interact with our human body systems and we can control our peripheral devices through brain system. The main objective of this technology is to restoring damaged parts of our body systems, movement, and sight. We are living in this modern generation and computer generation is growing day by day and we are moving towards new technologies because we are surrounded by many technologies and brain-computer interface is also latest technology through which we can restore our damaged parts. In this technology signal or data transferred in our brain system after that, we communicate with our brain and controlled by another peripheral device. Our brain systems are completely filled with many neurons and individual neuron connected with another neuron cell through axons. Any time we work, we feel, and we move from one location to another all these things are controlled by our neurons. The main application of this technology is in medical fields for the prevention of neuronal rehabilitation for grim damages and disease. In this technology, signals are transferred into our body system by using neuromuscular function and to read these signals we use an array of neurons and other computer chips or devices. this technology can be used for controlling and monitoring purpose for example if I am suffering from paralysis problem and I am not able to read and write then doctors can use this technology and they can transfer signal into my brain system and after that, I can read and write anything. So this is very biggest innovation in the field of medicine we are using this technology in many medicals for reducing injuries and restores our body systems (Wolpaw, Bedlack, Reda, Ringer, Banks, Vaughan, & McFarland, 2018).
There are many applications of this advanced technology such as in medicals for finding the problem, to restore damaged parts, to control our brain system, use as a prevention method, for detection and investigation, for diagnosis, for restoration purpose, and for communication purpose between brain and computer device. At that time we are using this technology in the medical field to identify any problem in our body system and to restore our body parts by communicating with our brain and other body parts Yin, E., (Zhou, Jiang, Yu, & Hu, 2015).
Figure: Brain-computer interface
(Source: Zhou, Jiang, Yu, & Hu, 2015)
This is one of the best innovations for our brain because through which we can communicate with our brain system and we can restore any damaged part of our body. In the future, we can use this technology for image processing, for controlling purpose, and we can improve overall efficiency and performance (Zhou, Jiang, Yu, & Hu, 2015).
Part 2
Online community
An online community is defined as an internet community in which we communicate with each other primarily through the internet connection. There are many communities you may feel like your friends and family because they provide many services for your daily life. An online organization also provides an information system where you can comment, post and where you can give your advice and suggestion. Generally, we communicate through many social websites, e-mails, and social media (Ngenye, & Wright, 2018).
There are many characteristics of online community successful communities have a strategy and plan, successful communities are run by individuals, designed for the customers, culture, data drive system, metrics, transparency, engagement, value, and conversations. There are many examples of online communities such as the community of Sweden, SK-gaming, police one, Haringey online, Texans talk, gamers’ voice, prisoner life, 4chan, and prisoner life. These all online communities provide online services in which we can play, we can give advice and can transfer data or information (Burnap, Rana, Avis, Williams, Housley, Edwards, & Sloan, 2015).
Bebo was one of the best online communities which were established in 2005 and the main purpose of this social network is to provide online services to users through which we can share our knowledge and data from one person to another. The owner of this organization is Michael Birch and we can use this website for communication purpose. We can communicate with Babo through e-mails and messages and this online community works on internet connection, therefore, we can operate this website from anywhere. This is one of the best organizations that provide a communication facility for all users and customers and we can use it by online and if any problem occurs then we can communicate by e-mails and contact numbers. We are using many online communities for communication purpose and Bebo is also provided many services such as sharing photos and videos, data or any information, comment, and we can share our knowledge (Ngenye, & Wright, 2018).
An ecological view is used to understand the success of any online community and we describe the relation of Bebo online community with other community and we know that online communities communicate through e-mails and messages so we can easily find the relation of one community with other community. There are main four key points are used to find the relation of Bebo social network with other communities such as topic overlap, shared members, transferred offline community affiliation and content linking. We can utilize a mixed method process to combine quantitative analysis of online communities and we can also interact with community members and employees. Therefore we can analyze data or information of all online communities by using quantitative research strategies (Zhu, Chen, Matthews, Pal, Badenes, & Kraut, 2014).
References
Ang, K. K., Chua, K. S. G., Phua, K. S., Wang, C., Chin, Z. Y., Kuah, C. W. K., & Guan, C. (2015). A randomized controlled trial of EEG-based motor imagery brain-computer interfaces robotic rehabilitation for stroke. Clinical EEG and neuroscience, 46(4), 310-320.
Burnap, P., Rana, O. F., Avis, N., Williams, M., Housley, W., Edwards, A., & Sloan, L. (2015). Detecting tension in online communities with computational Twitter analysis. Technological Forecasting and Social Change, 95, 96-108.
Ngenye, L., & Wright, K. (2018). Online Social Support Groups/Communities: Implications of Theoretical and Empirical Findings for Individuals Coping With Health Concerns. In Global Perspectives on Health Communication in the Age of Social Media (pp. 1-27). IGI Global.
Wolpaw, J. R., Black, R. S., Reda, D. J., Ringer, R. J., Banks, P. G., Vaughan, T. M., & McFarland, D. J. (2018). Independent home use of a brain-computer interface by people with amyotrophic lateral sclerosis. Neurology, 91(3), e258-e267.
Yin, E., Zhou, Z., Jiang, J., Yu, Y., & Hu, D. (2015). A dynamically optimized SSVEP brain-computer interface (BCI) speller. IEEE Transactions on Biomedical Engineering, 62(6), 1447-1456.
Zhu, H., Chen, J., Matthews, T., Pal, A., Badenes, H., & Kraut, R. E. (2014). Selecting an effective niche: an ecological view of the success of online communities. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 12, 301-310.
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