Modern human-computer interaction systems use multiple perceptual dimensions to enhance intuition and efficiency of the user by improving their situational awareness. A signal processing and interaction framework is proposed for auralizing signal patterns and augmenting the visualization-focused analysis tasks of social media content analysis and annotations, with the goal of assisting the user in analyzing, retrieving, and organizing relevant information for marketing research. Audio signals are generated from video/audio signal patterns as an auralization framework, for example, using the audio frequency modulation that follows the magnitude contours of video color saturation. The integration of visual and aural presentations will benefit the user interactions by reducing the fatigue level and sharping the users’ sensitivity, thereby improving work efficiency, confidence, and satisfaction.
Nguyen, Nguyen Le Thanh; Lee, Hyunhwan; Johnson, Joseph; Ogihara, Mitsunori; Ren, Gang; Beauchamp, James W.
Affiliations: University of Miami, Coral Gables, FL, USA; University of Illinois at Urbana-Champaign, Urbana, IL, USA(See document for exact affiliation information.)
AES Convention: 147 (October 2019) eBrief:556
Publication Date: October 8, 2019
Subject: Audio Signal Processing
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