The 2025 ACM Symposium on Eye Tracking Research & Applications (ETRA) will be held in Tokyo, Japan from May 26 to May 29, 2025. The aim of ETRA is to bring together researchers and practitioners from across fields with the common goal of continuing to move eye tracking research forward. Join us in Tokyo for ETRA, attend co-located workshops, and participate in exciting discussions.
The symposium presents advances and innovations in oculomotor research, gaze tracking systems, eye tracking applications, gaze-based interaction, and eye movement data analysis. We invite high-quality papers in all areas of eye tracking research and applications and welcome submissions from all domains, including visuomotor neuroscience, perception, and cognition.
Papers must be original and not accepted previously for publication or under review elsewhere. At least one author must register and present accepted work at the conference.
We are excited to announce that accepted full papers will be published as journal articles in special issues of either PACM CGIT or PACM HCI with the authors’ choice.
ACM ETRA 2025 is co-sponsored by the ACM Special Interest Group on Computer-Human Interaction (SIGCHI) and the ACM Special Interest Group on Computer Graphics and Interactive Techniques (SIGGRAPH).
Details on the submission process can be found here:
https://etra.acm.org/2025/submissionprocess.html
Required this year: With burgeoning technological and social applications of eye-tracking research, we now require authors to discuss the potential societal risks that might result from its publication. Authors are required to include a privacy and ethics statement of two to three sentences related to their study findings or new advancements made possible by their developed methods. The privacy and ethics statement should clearly address the broader impacts of their work as it relates to the authors' interpretation of privacy, fairness, safety, human rights, data sovereignty, or future misuse and any benefit/risk trade-off resulting from this research. We acknowledge that some papers may have minimal societal risks beyond those considered by institutional review boards, and the dimensions considered by any review of the user study design or dataset licenses could be provided in this statement.