2007
DOI: 10.1007/978-3-540-74889-2_46
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Sound Design for Affective Interaction

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Cited by 14 publications
(7 citation statements)
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“…In this section we present the main results of a recent study in which a model for the synthesis of natural footstep sounds was developed (DeWitt and Bresin, 2007), and preliminarily assessed. The starting point was the model of natural walking and running footstep sounds on aggregate materials that presented in Section 3.3.…”
Section: Affective Footstep Soundsmentioning
confidence: 99%
“…In this section we present the main results of a recent study in which a model for the synthesis of natural footstep sounds was developed (DeWitt and Bresin, 2007), and preliminarily assessed. The starting point was the model of natural walking and running footstep sounds on aggregate materials that presented in Section 3.3.…”
Section: Affective Footstep Soundsmentioning
confidence: 99%
“…Affective Diary recorded the physiological state of the user using a wearable device, and the number of Bluetooth devices connected to the diary. DeWitt and Bresin [16] has shown that sonification can be used to enhance the visual representation of affective states of the user recorded by the diary throughout the day, but it is unclear from their work how sonification can be used to create or alter the mood of the user.…”
Section: A) Sonificationmentioning
confidence: 98%
“…to create mood and hopefully to have a positive affects on people who are isolated and lonely due to illness or old age. Sonification has been used to display affective state of a user using software called Affective Diary as illustrated by DeWitt and Bresin [16]. Affective Diary recorded the physiological state of the user using a wearable device, and the number of Bluetooth devices connected to the diary.…”
Section: A) Sonificationmentioning
confidence: 99%
“…2). The techniques adopted to render them at auditory level are illustrated in Sections 4,5,6. For the purpose of these experiments, two types of surfaces, one solid (wood) and one aggregate (gravel), were chosen. The reason for choosing two materials was to assess whether the surface type affected the quality of the results.…”
Section: Synthesis Of Footstep Soundsmentioning
confidence: 99%
“…Moreover, footstep sounds of a person walking on a wooden floor provide information about the gender, age, size, and emotional intention of the person, and hardness and material of both shoes and floor [3]. Other studies demonstrated the possibility of recognizing simulated surfaces subjects are walking upon [4], as well as emotional intentions of the walker [5,6].…”
Section: Introductionmentioning
confidence: 99%