Qlik Gesture
The gestural interface for Qlik Sense represented a significant evolution in how users could physically interact with large-scale data environments. By integrating specialized hardware like the Leap Motion and Myo armband, the system enabled users to navigate complex datasets and isolate outliers through natural hand and arm movements. This interface allowed for a more visceral and embodied analytical experience, where the physical act of grabbing or pointing at data points replaced traditional mouse-based navigation. The demonstration highlights this immersive control, showcasing the seamless translation of physiological gestures into real-time data manipulations on massive video walls.
Developed during the first three months of my tenure at Qlik, this project served as an intensive exploration into new technology stacks and collaborative research. Despite the challenge of working with a new team and unfamiliar frameworks in a compressed timeframe, the resulting prototype garnered substantial acclaim within the broader community. Its success led to high-profile demonstrations at major industry events, including Qlik Qonnections 2014 in Orlando and Qlik Qonnections 2015 in Dallas. These presentations underscored the potential for gestural computing and immersive analytics to transform how decision-makers engage with information on a truly grand scale.
About Todd
My research represents a formal inquiry into the friction between users and data. By architecting novel hardware and algorithms, these projects establish new benchmarks for how we visualize and interact with massive, multi-dimensional datasets.
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