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Innovations in user interfaces transform human-machine interaction

3rd September 2015


The evolution of innovative user interface (UI) technologies and applications is taking human-machine interaction to new heights. Present-day UI technologies have moved beyond the concept of just representing machines to users to enabling sophisticated interaction. These technologies have facilitated the successful transformation from traditional text- and graphics-based UIs to touch, touchless and voice-guided innovations.

New analysis from Frost & Sullivan, Future of Customer Experience with User Interface Technologies, finds that the future of UIs will largely rely on touchless, hands-free operations. Technologies like gesture recognition, image recognition, and natural language processing (NLP) will thus be increasingly used to design accessible UIs that enable secure, reliable and touchless interactions. 

“UI technologies are already radically simplifying the way humans interact with machines,” noted TechVision Senior Research Analyst Debarun Guha Thakurta. “Moreover, innovations in these technologies are facilitating the transition to an age of smart devices by making effortless and successful interactions with machines possible.” 

Currently, the prime focus among UI innovators is to overcome challenges pertaining to efficiency, conciseness, intelligence, responsiveness and attractiveness. Efforts are geared towards the development of UIs that are simple, accurate, clear, consistent and user-friendly for carrying out complex interactions.

“Technologies such as NLP, computer vision, machine learning and cloud computing could converge to fuel innovations aimed at improving the way humans interact with machines,” remarked Thakurta. “With the accelerating trend of making intelligent machines that can think and learn like humans, UIs that interact exactly like humans will soon surface.”

Essentially, UI technologies will offer a best-in-class and effortless customer experience that surpasses the traditional brick-and-mortar methods of human-machine interaction. This will boost the demand for these technologies and devices across industries.







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