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Doctoral Colloquium program of the AutoUI conference (deadline July 6th)

  • 1.  Doctoral Colloquium program of the AutoUI conference (deadline July 6th)

    Posted 06-15-2022 10:27
    Dear STTG members,

    Please see a posting below from Dr. Jing Feng.

    Yusuke

    AutomotiveUI'22 - Call for Doctoral Colloquium position papers (deadline: July 6, 2022)


    We apologize for any cross-postings.

    ************************************************************************

    Call for Position Papers
    DOCTORAL COLLOQUIUM at AutomotiveUI'22
    Seoul, South Korea # Saturday, September 17, 2022

    Submissions due: July 6th, 2022 AoE

    ************************************************************************


    *** GOALS (FOR PARTICIPANTS) ***
    1. To improve research in the field of automotive user  interfaces UI by
       providing PhD students with feedback on proposed dissertations.
    2. To  provide  opportunities for  PhD  students to  network  with peers
       & facilitate  professional development by sharing research interests.


    *** WHEN AND HOW? ***
    The  AutomotiveUI'22 doctoral  colloquium (DC) will be held on Saturday,
    17 September  2022 (the day before the  main conference). This way,  PhD
    students selected  for the  DC may participate in all  other  conference
    formats  (e.g. attend   workshops, tutorials, and  enjoy all of the main
    conference). Depending on the number and origin of accepted applications
    the  DC will  run in one or two sessions. The  DC is by invitation only.
    Those invited to present their PhD project  or review  presentations are
    permitted  to attend  the doctoral colloquium to comply with confidenti-
    ality constraints.


    *** WHAT IS THE DOCTORAL COLLOQUIUM? ***
    The DC aims to bring  together PhD students working on topics related to
    automotive  user  interfaces  and  interactive  vehicular  applications,
    providing  them  with  an  opportunity  to  present  and  discuss  their
    research with their peers and senior faculty.
    Each participant  will be allocated a dedicated  time slot, split into a
    presentation  part and a feedback  part with oral  feedback by at  least
    three senior  faculty or researchers. The presentation  will be intimate
    to encourage interaction with only the session organizer, reviewers, and
    other student DC presenters  in attendance. Reviewer feedback will cover
    all aspects of the  proposal (choice of  topic, how it  is investigated,
    etc.). Students are expected to attend all  other presentations in their
    session, take  notes  for their peers, and provide  those notes to other
    students  in their  session. In 2022, we will  also try to make the DC a
    rich experience for  participants by (1) connecting  PhD students before
    the conference, and (2) using  technology during the meeting to document
    suggestions/comments from  reviewers (e.g., video recording of sessions,
    documentation in Google Docs, etc.).

    The topics of the AutomotiveUI'22 doctoral colloquium are identical with
    the main conference, see https://www.auto-ui.org/22/authors for details.


    *** ELIGIBILITY AND SELECTION ***
    The  AutomotiveUI'22  doctoral  colloquium  welcomes  contributions from
    doctoral  students  currently  registered    in  a  PhD   program. Ideal
    candidates should have worked on their  dissertation  for  some  months;
    they should have chosen a research topic  and  possibly  have  also made
    progress in  identifying the relevant theories and their  research plan.
    A number of seats at the DC  are  reserved for  recurring students. They
    are welcome to submit PhD progress proposals in which they should draw a
    clear picture on how previous DCs have helped to reshape their PhD work.
    Selection of participants will be based on the quality of the submission
    and its  relevance to the  conference  topics, as well as the likelihood
    of DC benefit to the participant.


    *** SUBMISSION FORMAT ***
    Submissions  must be  single-author,  but the  name  of  the  supervisor
    must be  mentioned in the submission. The  conversation language  of the
    colloquium  is English  and  all  submissions  must  be also in English.
    To apply to the DC, describe your proposed dissertation topic in up to 6
    pages (including figures/tables and the 150-word abstract) but excluding
    literature reference using the publication format of the main conference
    (single-column ACM SIGCHI format).

    The research proposal should:
    + give a crisp introduction to the field/problem domain,
    + present  key  related  work (current  status of the problem domain and
      related solutions, applicable norms/standards),
    + clearly formulate the research questions/approaches [Hint:  Presenting
      those  questions as who, what, when, where, and why questions is often
      helpful.],
    + point out significance and innovation (expected contributions),
    + describe the research method that is planned or has been applied,
    + outline your  contribution to  the  problem  domain and  highlight the
      uniqueness of your approach,
    + pose questions and issues (that you would like to discuss at the DC)

    In  addition, submit a one-page  biographical  sketch (CV), including  a
    paragraph stating what  you hope to get out of  participating in the DC.

    Please submit  your research  proposal and  biographical  sketch via the
    PCS conference management system (https://new.precisionconference.com/).
    If you have any  questions, do not  hesitate to  contact us  any time at
    <dc@auto-ui.org>. All submissions will be reviewed by  the international
    doctoral colloquium program committee.


    *** IMPORTANT DATES ***
    All deadlines are AoE (anywhere on earth) on the date shown.
    * Submission deadline: July 6th, 2022
    * Decision notification: July 27th, 2022
    * Camera-ready version: August 12th, 2022
    * Doctoral colloquium: September 17th, 2022

    We are looking forward to receiving your application!
    Andreas Riener, Jing Feng
    dc@auto-ui.org
     
    Best,
    Jing 
     


    ------------------------------
    Yusuke Yamani
    Old Dominion University
    ------------------------------