THE EVOLUTION OF HUMAN-COMPUTER INTERACTION IN THE AI ERA
Keywords:
Human-Computer Interaction, Collaborative AI, Autonomous AI, Workplace Efficiency, Employee Wellbeing, Human-Machine Partnership, Healthcare, Finance, Human AgencyAbstract
This comprehensive article examines the evolution of human-computer interaction in the age of artificial intelligence, tracking the transformation from early chess computers to modern collaborative systems. The article explores how AI has progressed from being a competitor to becoming a collaborative partner across various industries, particularly in healthcare, finance, and professional workspaces. It investigates the development of sophisticated interfaces that enable natural interaction between humans and machines, the emergence of autonomous AI systems, and the impact of these technologies on workplace efficiency and employee wellbeing. Leveraging multiple studies and real-world case implementations, this article demonstrates how AI is reshaping professional environments, while highlighting the importance of maintaining human agency in human-machine partnerships.
References
Grand View Research, "Artificial Intelligence Market Size, Share & Trends Analysis Report By Solution, By Technology (Deep Learning, Machine Learning, NLP, Machine Vision, Generative AI), By Function, By End-use, By Region, And Segment Forecasts, 2024 - 2030." [Online]. Available: https://www.grandviewresearch.com/industry-analysis/artificial-intelligence-ai-market
Larry Greenemeier, "20 Years after Deep Blue: How AI Has Advanced Since Conquering Chess," Scientific American, June 2, 2017. https://www.scientificamerican.com/article/20-years-after-deep-blue-how-ai-has-advanced-since-conquering-chess/
George Fragiadakis, Christos Diou, et al., "Evaluating Human-AI Collaboration: A Review and Methodological Framework,” D arXiv:2407.19098 [cs.HC], 9 Jul 2024. [Online]. Available: https://arxiv.org/abs/2407.19098, 2024.
Bebei Yue, Hu Li, "The impact of human-AI collaboration types on consumer evaluation and usage intention: a perspective of responsibility attribution,” School of Business, Qingdao University, Qingdao, Shandong, China. [Online]. Available: https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2023.1277861/full, 2023.
Keshav Marda, Nirupama Babu et al., "The Impact of Artificial Intelligence in the Workplace and its Effect on the Digital Wellbeing of Employees," Journal for studies in management & planning, April 2024.[Online].Availablehttps://www.researchgate.net/publication/379640568_The_Impact_of_Artificial_Intelligence_in_the_Workplace_and_its_Effect_on_the_Digital_Wellbeing_of_Employees, 2024.
Desta Hagos, Danda Rawat., "Recent Advances in Artificial Intelligence and Tactical Autonomy: Current Status, Challenges, and Perspectives," PMC Articles, [Online] Available: https://pmc.ncbi.nlm.nih.gov/articles/PMC9782095/, 2023.
Rajesh Dangi, "Shaping the Future of AI Benchmarking – Trends & Challenges," Express computer, [Online] Available: https://www.expresscomputer.in/guest-blogs/shaping-the-future-of-ai-benchmarking-trends/119609/,2024.
John Canny, "The Future of Human-Computer Interaction," ACM Queue,[Online] Available: https://queue.acm.org/detail.cfm?id=1147530, 2007.
Matthew Turk "Multimodal interaction: A review," Science direct, [Online] Available: https://www.sciencedirect.com/science/article/abs/pii/S0167865513002584, 15 January, 2015.