Authors :
Pawan Pandey; Kiranpreet Kaur; Surendra Thakhur; Shubham Negi; Devam
Volume/Issue :
Volume 9 - 2024, Issue 4 - April
Google Scholar :
https://tinyurl.com/y64vpvxy
Scribd :
https://tinyurl.com/3hvhf7hx
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24APR2358
Abstract :
As cloud computing continues to revolutionize
the landscape of modern computing, the intersection of
human-computer interaction (HCI) within cloud systems
has become increasingly vital. This study aims to explore
and analyze the evolving relationship between HCI
principles and cloud computing environments. It
investigates the various dimensions of HCI in cloud
systems, encompassing user experience design, interface
usability, accessibility, and collaboration paradigms. The
paper begins by providing a comprehensive overview of
HCI fundamentals, emphasizing their significance in the
context of cloud computing. It delves into the unique
challenges and opportunities presented by cloud
environments, such as distributed computing,
virtualization, and scalability concerns, and examines
their implications forHCI design. Furthermore, the study
investigates contemporary HCI methodologies and
techniques tailored specifically for cloud systems,
including adaptive interfaces, multi-platform
compatibility, and responsive design principles. It
discusses how these approaches aim to optimize user
interaction, enhance productivity, and facilitate seamless
user experiences across diverse devices and
environments.
Keywords :
Human-Computer Interaction, Cloud Computing, user Experience (UX), Humans.
References :
- Greenpeace (2010). Make IT Green: cloud computing and its Contribution to Climate Change. The Netherlands: Greenpeace International.
- Gutiérrez, F., Htun, N. N., Schlenz, F., Kasimati, A., & Verbert, K. (2019). A review of visualisations in agricultural decision support systems: An HCI perspective. Computers and Electronics in Agriculture,163,104844. https://doi.org/10.1016/j.compag.2019.05.053
- Ahmad, N., Riaz, N., & Hussain, M. (2011). Ad hoc wireless sensor network architecture for disaster survivor detection. International Journal of Advanced Science and Technology, 34(9), 16. [PDF] Retrieved from https://citeseerx.ist.psu.edu/viewdoc/download? doi=10.1.1.359.7416& rep=rep1&type=pdf
- Al Mahdi, Z., Naidu, V. R., & Kurian, P. (2019). Analyzing the Role of Human Computer Interaction Principles for E-Learning Solution Design. In Smart Technologies and Innovation for a Sustainable Future (pp. 41-44). Springer. https://doi.org/10.1007/978-3-030-01659-3_6
- Bernonville, S., Kolski, C., Leroy, N., & Beuscart-Zéphir, M.-C. (2010). Integrating the SE and HCI models in the human factors engineering cycle for reengineering Computerized Physician Order Entry systems for medications: Basic principles illustrated by a case study. International Journal of Medical Informatics, 79(4), e35-e42. https://doi.org/10.1016/ j.ijmedinf.2008.04.003
- Brhel, M., Meth, H., Maedche, A., & Werder, K. (2015). Exploring principles of user-centered agile software development: A literature review. Information and Software Technology, 61, 163-181. https://doi.org/10.1016/j.infsof.2015.01.004
- Dwivedi, Y. K., Wastell, D., Laumer, S., Henriksen, H. Z., Myers, M. D., Bunker, D., ... Srivastava, S. C. (2015). Research on information systems failures and successes: Status update and future directions. Information Systems Frontiers, 17(1), 143-157. https://doi.org/10.1007/s10796-014-9500-y
- Kupiainen, E., Mäntylä, M. V., & Itkonen, J. (2015). Using metrics in Agile and Lean Software Development–A systematic literature review of industrial studies. Information and Software Technology, 62, 143- 163. https://doi.org/10.1016/ j.infsof.2015.02.005
- Chepken, C. (2016). The Absence of One-Size-Fits-All in the Day Labour Organisations ICT4D Designs Human Development and Interaction in the Age of Ubiquitous Technology (pp. 308-333). IGI Global. https://doi.org/10.4018/978-1-5225-0556-3.ch013
- Blandford, A. (2019). HCI for health and wellbeing: challenges and opportunities. International Journal of Human-Computer Studies, 131, 41-51. https://doi.org/ 10.1016/j.ijhcs.2019.06.007
- J. Gupta, M. Ahuja and N. Garg, "A Review on Human-Computer Interaction (HCI)," 2022 2nd International Conference on Innovative Sustainable Computational Technologies (CISCT), Dehradun, India, 2022, pp. 1-6, doi: 10.1109/CISCT55310.2022. 10046656.
- W. Li and H. Cheng, "Requirements and Architecture Design of Human Computer Interaction System for Manned Spacecraft Based on Deep Space Exploration Mission," 2021 2nd International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI), Shenyang, China,2021, pp. 204-208, doi: 10.1109/ICHCI54629.2021.00050.
- Amandeep Kaur, Gurpreet Kaur(2018) Early Prediction of Human- Computer Interaction Problems Using Mouse Movement Features https://ieeexplore.ieee.org/document/8672631
- Day, K., Humphrey, G., & Cockcroft, S. (2017). How do the design features of health hackathons contribute to participatory medicine? Australasian Journal of Information Systems, 21. https://doi.org/10.3127/ajis. v21i0.1383
- Dziak, D., Jachimczyk, B., & Kulesza, W. J. (2017). IoT-based information system for healthcare application: design methodology approach. Applied Sciences, 7(6), 596. https://doi.org/10.3390/app7060 596
- Eide, A. W., Pickering, J. B., Yasseri, T., Bravos, G., Følstad, A., Engen, V, Lüders, M. (2016). Human-machine networks: towards a typology and profiling framework. In Proceedings of the International Conference on Human-Computer Interaction (pp. 11- 22). https://doi.org/10.1007/978-3-319-39510-4_2
- Esposito, A., Esposito, A. M., & Vogel, C. (2015). Needs and challenges in human computer interaction for processing social emotional information. Pattern Recognition Letters, 66, 41-51. https://doi.org/ 10.1016/j.patrec.2015.02.013
- Gandhi, N., Petkar, O., & Armstrong, L. J. (2016). Rice crop yield prediction using artificial neural networks. In 2016 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR). https://doi.org/10.1109/tiar.2016.7801222
- Gonçalves, T. G., Oliveira, K. M., & Kolski, C. (2018). Identifying HCI approaches to support CMMI-DEV for interactive system development. Computer Standards & Interfaces, 58, 53-86. https://doi.org/ 10.1016/j.csi.2017.12.003
- Gottschalk, P. (2020). E-government interoperability and information resource integration: Frameworks for aligned development. Information Systems, 193. https://doi.org/10.4018/978-1-60566-648-8
- Gray, C. M. (2016). "It's More of a Mindset Than a Method" UX Practitioners' Conception of Design Methods. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (pp. 4044-4055). https://doi.org/10.1145/2858036.2858410
- Hsu, H.-C., Chang, S., Chen, C.-C., & Wu, I.-C. (2020). Knowledge-based system for resolving design clashes in building information models. Automation in Construction, 110, 103001. https://doi.org/10.1016/j.autcon.2019.103001
- Hsu, Y.-C., & Nourbakhsh, I. (2020). When human-computer interaction meets community citizen science. Communications of the ACM, 63(2), 31-34. https://doi.org/10.1145/3376892
- Jacucci, G., Spagnolli, A., Freeman, J., & Gamberini, L. (2015). Symbiotic interaction: a critical definition and comparison to other human-computer paradigms. In International Workshop on Symbiotic Interaction (pp. 3-20). https://doi.org/10.1007/978-3- 319-13500-7_1
- Jeon, M., Fiebrink, R., Edmonds, E. A., & Herath, D. (2019). From rituals to magic: Interactive art and HCI of the past, present, and future. International Journal of Human-Computer Studies, 131, 108-119. https://doi.org/10.1016/j.ijhcs.2019.06.005
- Keramati, H., & Mirian-Hosseinabadi, S.-H. (2008). Integrating software development security activities with agile methodologies. In 2008 IEEE/ACS International Conference on Computer Systems and Applications (pp. 749-754). IEEE. https://doi.org/ 10.1109/aiccsa.2008.4493611
- Kocsis, D. (2019). A conceptual foundation of design and implementation research in accounting information systems. International Journal of Accounting Information Systems, 34, 10024. https://doi.org/10.1016/j.accinf.2019.06.003
- Kumar, P., Verma, J., & Prasad, S. (2012). Hand data glove: a wearable real-time device for human-computer interaction. International Journal of Advanced Science and Technology, 43. https://doi.org/10.1109/rait.2012.6194548
- A Review of Human-Computer Interaction Design Approaches Towards Information Systems Development (2017) by A. Sharma andS.Jain https://www.researchgate.net/publication/351706327_A_Review_of_HumanComputer_Interaction_Design_Approaches_Towards_Information_Systems_Develop
- AI Assistance for UX: A Literature Review Through Human-Centered AI (2024) by A. Karypis, D. Guo, Z. Li, Q. V. Nguyen, and J. Zhang https://arxiv.org/ html/2402.06089v1
- HCI in CLOUD COMPUTING. Connecting Human and Computer through the Cloud Interface Paradigm by Isha Choudhary [https://medium.com/ @dincloudofficial/hyper-converged-infrastructure-hci-streamlining-your-it-operations-19394007de96]
- Andrea Janes, Nazim H. Madhavji, Daniela Damian . Predicting Human–Computer Interaction Problems in Cloud Computing: A Systematic Literature Review Predicting Human–Computer Interaction Problems in Cloud Computing
- Y. You and X. Yi, "Research and Implementation of Human-Computer Interaction System Based on Human Body Attitude Recognition Algorithm," 2023 2nd International Conference on 3D Immersion, Interaction and Multi-sensory Experiences (ICDIIME), Madrid, Spain, 2023, pp. 249-252, doi: 10.1109/ICDIIME59043.2023.00053.
As cloud computing continues to revolutionize
the landscape of modern computing, the intersection of
human-computer interaction (HCI) within cloud systems
has become increasingly vital. This study aims to explore
and analyze the evolving relationship between HCI
principles and cloud computing environments. It
investigates the various dimensions of HCI in cloud
systems, encompassing user experience design, interface
usability, accessibility, and collaboration paradigms. The
paper begins by providing a comprehensive overview of
HCI fundamentals, emphasizing their significance in the
context of cloud computing. It delves into the unique
challenges and opportunities presented by cloud
environments, such as distributed computing,
virtualization, and scalability concerns, and examines
their implications forHCI design. Furthermore, the study
investigates contemporary HCI methodologies and
techniques tailored specifically for cloud systems,
including adaptive interfaces, multi-platform
compatibility, and responsive design principles. It
discusses how these approaches aim to optimize user
interaction, enhance productivity, and facilitate seamless
user experiences across diverse devices and
environments.
Keywords :
Human-Computer Interaction, Cloud Computing, user Experience (UX), Humans.