Good Research Proposal About Human Computer Interaction: Innovative Interactive Technology

During the past century, the changes in technology increasing human computer interactions (HCI) can be considered fantastic. The variety of HCI ranges from smarter homes and businesses to innovative ways to improve in health care.
Virtual reality allows online businesses to sell items; shopping online is turning into a completely immersive buying experience. Education is turning into an “immersive reality environment” for young children who learn from computer lessons. Gesture Description Language (GDL) technology makes interacting with the computer easy and inexpensive. GDL allows the computer to understand what the user wants by analyzing the user’s body movements. The innovation of Natural User Interface (NUI) makes HCI easy for users and fun. NUI is used for online games and education; avatars are being developed to use with “immersive projection” and virtual reality helments. Researchers develop better HCIs by studying how users use their avatars in games like Whyville.
Robots are a reality due to HCI. Robots are able to assist people who cannot carry out daily tasks by themselves and elderly can live alone but stay in constant touch with their health providers from home. Health care providers can send instructions to patients over long distances; one study learned that people were more likely to follow the instructions if a robot was used to communicate instead of having to read a tablet. Hospitals use HCI for better delivery of health care services like making appointments for tests by interacting with a multi-modal computer system over the phone, NUI allowed doctors to carry out urological surgery by touchless interfacing, using only gestures to view an interactive image of the patient’s health problem. People suffering from depression and other mental health problems can soon use HCI to keep in touch with their therapists when they need help.

Works Cited

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1 Pantano and Servidio 1
2 Hacahj and Baraniewicz 2
3 21.4.043017Hachaj, T., & Ogiela, M. R. (2014, February). Rule-based approach to recognizinghuman body poses and gestures in real time. Multimedia Systems, 20(1), 81–99.http://dx.doi.org/10.1007/s00530-013-0332-2
4 Ogiela, M. R., & Hachaj, T. (2015). Natural user interfaces in medical image analysis.Berlin, Heidelberg: Springer Verlag. ISBN 978-3-319-07799-4
5 zde Bruin, E. D., Schoene, D., Pichierri, G., & Smith, S. T. (2010, August). Use of virtualreality technique for the training of motor control in the elderly. Zeitschrift fürGerontologie und Geriatrie, 43(4), 229–234.
6 Fominykh,. Prasolova
7 Feldon, D. F., & Kafai, Y. B. (2008, December). Mixed methods for mixed reality:Understanding users’ avatar activities in virtual worlds. Educational TechnologyResearch and Development, 56(5–6), 575–593.
8 Ying
9 Middleton, K. K., Hamilton, T., Tsai, P. C., Middleton, D. B., Falcone, J. L., & Hamad, G.(2013, November). Improved nondominant hand performance on a laparoscopicvirtual reality simulator after playing the Nintendo Wii. Surgical Endoscopy,27(11), 4224–4231.
10 Mann
11 (Gibbanini, Burzagli, and Emilani
12 7Ruppert, G. C., Reis, L. O., Amorim, P. H., de Moraes, T. F., & da Silva, J. V. (2012,October). Touchless gesture user interface for interactive image visualiza-tion in urological surgery. World Journal of Urology, 30(5), 687–691. http://dx.doi.org/10.1007/s00345-012-0879-0
13 Sánchez