Call for Late Breaking Results

Late-Breaking Results describe preliminary results of ongoing research or incremental work that present new ideas, concepts, systems or approaches that focuses on methods, techniques and tools that support designing and developing interactive systems.

LBR are intended for eliciting useful feedback on early-stage or incremental work, that can benefit from discussions with colleagues in the EICS community. We welcome papers that are suitable for demonstration at the conference and supplementary video showing the system in action is encouraged.

LBR will be published in the conference's companion proceedings and made available in the ACM DL.

Format

LBR papers are published as a 6-page paper. We ask authors to submit using the TAPS process and the single column template that is provided here (Section 2). Please, don't use the old double-column format but the new one-column format.

Anonymization policy

The papers review process is based on reviewing where the identities of both the authors and reviewers are kept hidden (but ACs know these details). Authors are expected to remove author and institutional identities from the title and header areas of the paper, as noted in the submission instructions (Note: changing the text color of the author information is not sufficient). Also, please make sure that identifying information does not appear in the document’s meta-data (e.g., the ‘Authors’ field in your word processor’s ‘Save As’ dialog box). In addition, we require that the acknowledgments section be left blank as it could also easily identify the authors and/or their institution.

Further suppression of identity in the body of the paper is left to the authors’ discretion. We do expect that authors leave citations to their previous work unanonymized so that reviewers can ensure that all previous research has been taken into account by the authors. However, authors are required to cite their own work in the third person, e.g., avoid “As described in our previous work [10], ... ” and use instead “As described by [10], ...”

If you for some very specific reasons have challenges with writing the paper in an anonymous way, please contact the track chairs you are planning to submit to and ask for advice. In order to ensure the fairness of the reviewing process, we use a review process where external reviewers don’t know the identity of authors, and authors don’t know the identity of external reviewers. In the past few years, some authors have decided to publish their submissions in public archives prior to or during the review process. These public archives have surpassed in reach and publicity what used to happen with tech reports published in institutional repositories. The consequence is that well-informed external reviewers may know, without searching for it, the full identity and institutional affiliation of the authors of a submission they are reviewing. While reviewers should not actively seek information about author identity, complete anonymization is difficult and can be made more so by publication and promotion of work during the review process. While publication in public archives is becoming standard across many fields, authors should be aware that unconscious biases can affect the nature of reviews when identities are known. CHI does not discourage non-archival publication of work prior to or during the review process but recognizes that complete anonymization becomes more difficult in that context.

Submission Information

Submissions to this track should follow the TAPS process and the single column template that is provided here (Section 2). Please, don't use the old double-column format but the new one-column format.

Submissions must be annonymized.

Submissions can be done through (SIGCHI | EICS 2022)
http://new.precisionconference.com

Important dates

11/03/2022 - Submission deadline

08/04/2022 - Notifications of reviews

29/04/2022 – Camera ready

LBR chairs

Davide Spano - Università di Cagliari, Italy

Stéphane Huot - INRIA Lille-Nord Europe, France

lbr2022@eics.acm.org

Sponsors

INRIA logo    Université Côte d'Azur logo      CNRS logo     Laboratoire I3S logo       Association Francophone d'Interaction Humain-Machine