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We present an alternate approach to smartwatch interactions using non-voice acoustic input captured by the device's microphone to complement touch and speech. <i>Whoosh</i> is an interaction technique that recognizes the type and length of acoustic events performed by the user to enable low-cost, hands-free, and rapid input on smartwatches. We build a(More)
While most smartphones today have a rich set of sensors that could be used to infer input (<i>.e.g.</i>, accelerometer, gyroscope, microphone), the primary mode of interaction is still limited to the front-facing touchscreen and several physical buttons on the case. To investigate the potential opportunities for interactions supported by built-in sensors,(More)
This paper reports on the theory, design, and implementation of an artistic computer colleague that improvises and collaborates with human users in real-time. Our system, Drawing Apprentice, is based on existing theories of art, creative cognition, and collaboration synthesized into an enactive model of creativity. The implementation details of the Drawing(More)
Based on the artificial neural networks and grey correlation analyze, this paper presents a model forecasting the infection rate of computer viruses according to the number of vulnerabilities, the percentage of viruses infecting via web browsing and downloading and the percentage of viruses infecting via portable storage media. The prediction is realized(More)
Most smartphones today have a rich set of sensors that could be used to infer input (e.g., accelerometer, gyroscope, microphone); however, the primary mode of interaction is still limited to the front-facing touchscreen and several physical buttons on the case. To investigate the potential opportunities for interactions supported by built-in sensors, we(More)
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