Reviewer Guidelines

Guidelines for the Review Process

Overall Process

Each submitted paper will be reviewed by at least three experts in the field. Submissions will be judged on the following criteria.

Submitted papers of the general and special session tracks will undergo a double-blind review process. Only the dataset & tools track will follow a single-blind review process as authors need to include a link to the dataset or tool which will be evaluated by the reviewers.

Each paper is assigned a Meta-Reviewer who is responsible for coordinating the reviews of the paper and helping the TPC chairs in the decision process . The Meta-Reviewer is selected by the TPC chairs, and part of the program committee. The responsibility of the Meta-Reviewer, assigned 3-4 full papers, is as follows:


For short and full papers, there will be a paper bidding phase in order to ensure a good match between an individual reviewer’s expertise/interests and her/his review assignments. The online TPC meeting for full papers will take place on April 18th-19th, 2023, and is organized by the TPC Chairs. Details will be provided later. All TPC Members are invited to participate in the TPC meeting.

For short papers, an online TPC meeting will be hosted on May 16, 2023. All TPC Members are invited to participate in that TPC meeting.

The TPC members are invited by the TPC chairs to cover all topics as mentioned in the Call for Papers. In particular, the domains of QoE and UX are reflected in the technical program committee.

For TPC Members and Reviewers

Important information related to the paper assignment and review process:

High quality reviews are of utmost importance to QoMEX 2023 and critical for the advancement of the field. For this reason, please keep the following review guidelines in mind:

Full papers

Submitted full papers of the general and special session tracks will undergo a double-blind review process. Submitted full papers must not exceed six (6) pages, including figures, tables and references. Please see the paper submission instructions.

Reviewers should consider the following in their evaluation: suitability, originality, significance/contribution, validity of the work, related work, thoroughness, replicability, presentation clarity. Please note that we also invite to submit position papers as full papers which describe a novel or bold idea; in that case experimental results may not be existing, but the paper should be nevertheless scientifically valid and convincing, and contribute to QoMEX overall.

Short papers

Submitted short papers of the general and special session tracks will undergo a double-blind review process. Submitted short papers must not exceed three (3) pages, including figures, tables and references. Short paper submissions must describe original and unpublished work. Please see the paper submission instructions.

Reviewers should consider the following in their evaluation: suitability, originality, significance/contribution, validity of the work, related work, thoroughness, replicability, presentation clarity. While a short paper is not a shortened long paper, the characteristics of short papers may include one or more of the following:

The timeline for the short papers is as follows.

Dataset & Tools track

Full and short paper submissions to the dataset & tools track are single-blind. The authors need to provide a link to the dataset or tool which will be elaborated by the reviewers as part of the submission. The data and tool must be made available to the reviewers upon submission and will have to be published upon acceptance.

Reviewers should consider the specific features of papers submitted to the dataset & tools track and evaluate the submissions as follows:


References

Papers submitted to QoMEX 2023 should refer to peer-reviewed publications. References to non-peer-reviewed publications (including public repositories such as arXiv, Preprints, software, and personal communications) should only be made if there is no peer-reviewed publication available, should be kept to a minimum, and should appear as footnotes in the text (i.e., not in the references list). Reviewers should comment on the suitability of references.