About the PCJ Issue:
The Philippine Computing Journal (PCJ) is a peer-reviewed publication
of the Computing Society of the Philippines (CSP), committed to
publishing original high-quality papers on computing. It has two issues
annually covering articles related to computer science, computational
science and engineering, information and communication technology, computer
science education and allied discipline. The Philippine Computing Journal is included in the Asean Citation Index (ACI) list.
Notably, publication fees will be waived for all papers accepted for this issue.
Guidelines for Authors
The paper must describe original work and should be 8 - 15 pages in length,
including References. The ACM SIGConf two-column format in LaTeX should be
used as the template. Please see the attached file for the template. The
paper need not be anonymized for submission. An overleaf template can be
readily used from this link:
PCJ 2024
Template.
We invite submissions that contribute to the advancement of HCI research
in the Philippines. Scientific papers are research or projects that are
in a mature stage and present a contribution to HCI. They usually present
an exploration, an artifact, a survey, a dataset, empirical studies, or a
combination of any of these.
Papers submitted for review must not simultaneously be submitted to another
journal or conference. Each paper will undergo a review process by at least
two (2) reviewers to evaluate its fit to the journal.
AI Policy
To ensure the integrity of the scientific record, Generative
AI tools (e.g., ChatGPT, Claude, Gemini, Midjourney) SHALL
NOT be listed as authors on any submission. Authors SHALL
maintain full accountability for the accuracy, originality,
and validity of their work, including any content refined by
AI tools. While the use of AI for linguistic polishing and
formatting is permitted, the generation of core scientific ideas,
data fabrication, and the creation of entire manuscript sections
by AI is PROHIBITED. Authors SHALL explicitly disclose the use
of any generative AI tools in their submission. Reviewers SHALL
NOT upload manuscripts into public AI platforms to preserve
confidentiality.
- Authorship and Accountability Generative AI tools lack the
agency and legal personhood required for authorship. Therefore,
AI tools SHALL NOT be listed as an author or co-author on any
submission. The human authors listed on the paper SHALL accept
full responsibility for the veracity and correctness of all
material in their work, including text, code, images, and
citations generated or refined by AI. Authors are responsible
for verifying that AI outputs do not contain "hallucinations,"
fabricated citations, or biased content.
- Permissible Uses Authors are permitted to use generative AI
tools for the following tasks, provided human oversight is maintained:
- Linguistic Refinement: Improving grammar, spelling, and
readability, particularly for non-native English speakers.
- Editing and Formatting: Adjusting the structure or formatting
of the author's original text to meet submission standards.
- Summarization: Summarizing the author's own notes or data,
provided the original context is preserved and verified.
- Prohibited Uses To maintain scientific rigor, the following
uses are strictly prohibited:
- Idea Generation: AI SHALL NOT be the primary source of
the work’s core novel ideas or research questions.
- Data Fabrication: Authors SHALL NOT use AI to generate
synthetic data (e.g., fake survey responses or user study data)
unless the research explicitly focuses on the evaluation of
synthetic data methodologies and is clearly labeled as such.
- Review Generation: Reviewers SHALL NOT use generative
AI to write peer reviews or meta-reviews, as this violates the
requirement for independent human judgment.
- Disclosure Requirements Transparency is mandatory. If
generative AI tools were used for any purpose beyond basic
spell-checking, authors SHALL include a disclosure statement
in the Acknowledgements section or a dedicated "Generative AI Usage"
section. This statement SHALL include:
- The name and version of the tool used (e.g., "ChatGPT-4").
- The specific purpose of its use (e.g., "Used to refine the
abstract for clarity").
- A confirmation that the authors have verified the output.
- Confidentiality and Reviewing Submissions to CSP PCJ 2024 are
confidential documents. Reviewers SHALL NOT upload any portion of a
submitted manuscript (including text, figures, or code) into a public
generative AI tool. Doing so constitutes a violation of confidentiality
and data privacy, as these platforms may store or train on the input data.
Editorial Team
Ethel Ong PhD, De La Salle University
Editor-in-Chief
Nathaniel Oco, De La Salle University
Managing Editor
Jordan Aiko Deja PhD, De La Salle University
Briane Paul Samson PhD, De La Salle University
Guest Editors