[AUDITORY] Call for papers - Theme track 04 on Sound and Design at DRS2022 Bilbao Conference

[Stefano Delle Monache <stefano.dellemonache@xxxxxxxxx>]

    Apologies for cross-posting.
    
    Dear All, 
    
    We are pleased to inform you that the DRS2022 BILBAO Conference is
    now welcoming submissions. The Theme Track 4 on Sound & Design aims at
    exploring human and machine listening as design material.
    
    The call for papers can be found via the following link: https://www.drs2022.org/theme-tracks/
    
    Deadline for paper submission: November
      24th, 2021
    
    The track is co-chaired by Stefano Delle Monache, Monica Porteanu,
    Kevin Hamilton, Nicolas Misdariis, and Elif Özcan and supported by
    the H2020-MSCA-IF-2019 PaDS.
    
      Abstract
    Either intentionally designed or as by-products of mechanisms and
    processes, sounds and soundscapes are an essential presence in our
    contemporary environments, from notification and alarms to machinery
    and voice-based virtual assistants. Sound design entails a variety
    of practices, dealing at large with the design and craft of auditory
    displays to convey functions and information with aesthetic
    requirements. Listening is the context-dependent, human-centered,
    active behaviour by which we use sound to make sense of the
    experience with products, services, and ecosystems.
    A socio-technological, sound-driven approach to design is concerned
    about the meaning and understanding of the experience driven by
    listening, rather than by sound. In this paradigm shift, sound acts
    both as issue and opportunity for innovative design solutions.
    Hence, sound-driven design is inherently embodied, situated, and
    human-centered. Establishing the role of listening in the design
    process will inform whether designers design the sound, for sound, against sound or with sound.
    
    The Sound and Design track welcomes papers on:
    
    A. Sound-driven design: Designing
      for, through, and about listening 
    Contact person - Stefano Delle Monache | s.dellemonache@xxxxxxxxxx
    Leveraging the established distinction about design research
    strategies (for, through, about design), we invite submissions on:

• Designing for listening (clinical), including sound- and evidence-based case studies and interventions with specific impact, e.g., from product sounds to soundscapes, in healthcare, automotive, and the lived environment in general;
• Designing through listening (applied), including design studies that investigate how sound and action intertwine to shape dynamic relationships between humans and objects, e.g. from sound-driven experience and design methodologies, to the effect of sound on listeners, such as emotions and alarm fatigue;
• Designing about listening (basic), including inquiries on the fundamentals of design and audition, formgiving and cognition, research methods, the role of sound-based representations and creativity.

    B. Design of artificial intelligence
      (AI) for perceiving and interpreting sound 
    Contact person -  Monica Porteanu | monicap2@xxxxxxxxxxxx
    Sound opens doors to designing for inclusiveness, wellbeing, and
    many more. Meanwhile, sound-enabled technology creates commercial
    opportunities at exponential speed. However, the commercial
    enthusiasm outpaces our understanding of the implications this
    situation creates, e.g., considering that voice is a biometric
    identifier. 
    We have yet to become aware of how sound travels and is perceived
    and interpreted across devices, platforms, clouds, and algorithms.
    The design mindset and practice are slowly catching up, but they are
    still more focused on the commercial aspect (e.g., conversation
    design, voice user interface). However, design research could
    significantly contribute to raising awareness and developing the
    necessary body of knowledge to address the gap. We invite
    submissions on topics such as:

• Algorithmic hearing and interpretation, incl. voice-based AI for sentiment analysis
• Inclusive AI applications related to sound perception, interpretation, and feedback, e.g., sound therapy, rehabilitation, food design for wellness
• Design methods for sensemaking related to sound data, e.g., sonification, visualization 
• Sound-based AI literacy, e.g., privacy, decision-making
• Objects that listen, interpret, or provide feedback (esp. to other than the sound producer)