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      <title-group>
        <article-title>Music Personalization for Cochlear Implant Users</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Lloyd May</string-name>
          <email>lloyd@ccrma.stanford.edu</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Aaron Hodges</string-name>
          <email>athodges@stanford.edu</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>So Yeon Park</string-name>
          <email>syjpark@stanford.edu</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Blair Kaneshiro</string-name>
          <email>blairbo@ccrma.stanford.edu</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Jonathan Berger</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="editor">
          <string-name>Accessibility, Aural Diversity, Music Personalization</string-name>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>D/deaf and Disabled joy</institution>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Stanford University</institution>
          ,
          <addr-line>CCRMA, 660 Lomita Drive, Stanford, California, USA, 94305</addr-line>
          ,
          <country country="US">USA</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>Listening experiences among people using assistive hearing technologies, such as hearing aids and/or Cochlear Implants (CIs), are diverse and impacted by various physiological and social factors. Given individual diferences in such factors and in subjective preferences related to music enjoyment, there is a need for personalized, customizable solutions to improve music listening experiences for CI users. In this vision paper, we present methods and initial results of an exploratory study designed to gain insights into the empathetic processes involved in audio mixing and listening. Ten expert listeners (ELs) (each of whom has used a CI for over one year), and ten professional audio engineers (AEs) were recruited. AEs were then asked to mix and process audio under various conditions including using a CI-simulator as well as with written feedback from an EL or peer AE. All participants completed multiple interviews and surveys to better understand the nuances of this customization and listening process. Findings from this initial study will inform the creation of a web-based tool to empower CI users to customize their music listening experience.</p>
      </abstract>
      <kwd-group>
        <kwd>tion</kwd>
        <kwd>therefore experiences of complex auditory stimuli</kwd>
      </kwd-group>
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      <title>-</title>
      <p>lored to CI users [4]. While there are certainly merits to
from various genres (folk, hip-hop, electronic dance
muthese approaches, they neither fully enable CI listeners to
sic, soft pop, and funk) and a speech-in-noise excerpt
customize their experiences nor account for the diversity
were given to the AEs to mix in four stages: (1) A
baseof listening experiences, strategies, and goals.</p>
      <p>line mix, as if mixing for commercial release, (2) Re-mix</p>
      <p>A potential site of exploration to develop a tool for “Mix 1” through a CI simulation plug-in 2, (3) Re-mix
CI users to customize their experience is the manipu- “Mix 2” after receiving written feedback from an EL with
Joint Proceedings of the ACM IUI Workshops 2023, March 2023, Sydney, a peer AE who is aware of all the details of the study.
Australia
∗Corresponding author.
nEvelop-O
1Stem or multi-track representations refer to a piece of recorded
music where each audio element, instrument, or group of instruments
is available on their own track that can be individually manipulated
before being summed into the final piece.
2While there is mixed evidence supporting the eficacy of disability
simulation in empathy generation among non-disabled people, the
efect of context and contact with people with disabilities has led
to increased empathy generation [5].</p>
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