Abstract:A novel interaction style is presented, allowing in-pocket music selection by tapping a song's rhythm on a device's touchscreen or body. We introduce the use of rhythmic queries for music retrieval, employing a trained generative model to improve query recognition. We identify rhythm as a fundamental feature of music which can be reproduced easily by listeners, making it an effective and simple interaction technique for retrieving music. We observe that users vary in which instruments they entrain with and our… Show more
We explore relationships between habits and technology interaction by reporting on older people's experience of the Kinect for Xbox. We contribute to theoretical and empirical understandings of habits in the use of technology to inform understanding of the habitual qualities of our interactions with computing technologies, particularly systems exploiting natural user interfaces. We situate ideas of habit in relation to user experience and usefulness in interaction design, and draw on critical approaches to the concept of habit from cultural theory to understand the embedded, embodied, and situated contexts in our interactions with technologies. We argue that understanding technology habits as a process of
reciprocal habituation
in which people and technologies adapt to each other over time through design, adoption, and appropriation offers opportunities for research on user experience and interaction design within human-computer interaction, especially as newer gestural and motion control interfaces promise to reshape the ways in which we interact with computers.
This paper contributes novel measures of user engagement in mobile music retrieval, linking these to work in music psychology, and illustrating resulting design guidelines in a demonstrator system. The large music collections available to users today can be overwhelming in mobile settings, they offer 'too-much-choice' to users, who often resort to shufflebased playback. Work in music psychology has introduced the concept of music engagement -listeners vary in their desired control over their music listening, and engagement varies with listening context. We develop a series of metrics to capture music listening behaviour from users' interaction logs. In a survey of 94 music listeners, we show significant correlations between music engagement from questionnaires and the presented quantitative metrics. We show how music retrieval can adapt to this engagement, developing a tabletbased demonstrator system, with an exploratory evaluation.
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