A poster session complements the plenary sessions that make up the AI symposium.
Deadline extended to September 22
Prizes for Best Student Posters
Two $100 prizes per track (four prizes in total)
Call for Abstracts
The AI and Digital Health Symposium will be held on October 18, 2024, and is open to anyone. The event will include a poster session.
Authors whose posters have been selected will be asked to accept to attend the symposium in person. Presenting authors will be required to register for the event before the registration deadline (October 4, 2024). If a presenting author is unable to attend, a coauthor must register and attend to present the abstract on their behalf.
General Instructions and requirements
Languages: Abstracts may be submitted in English or French.
Format: PDF
Track: Refer to the specific submission requirements for each track below (Behavioural and Health Science, or Machine Learning/Computer Science) below.
Submission Deadline: EXTENDED to September 22, 2024, 11:59pm (Eastern Time)
Presenting authors whose abstracts are accepted are expected to present their posters on October 18, 2024, from 4pm to 6pm.
Authors whose abstracts have been accepted must submit their poster in advance to symposium organizers (in a PDF format) no later than October 4, 2024. Posters will be published on the symposium website.
Posters will be selected through a peer-review process.
Machine Learning Track
The Machine Learning Track concerns contributions made around machine learning learning methods with applications in affective computing based on image, video, audio, or other signals used, e.g. for emotion recognition and gesture recognition. Its broad scope includes advances in signaling processing, pattern recognition, and machine learning techniques relevant to the design of systems that recognize, interpret, and simulate human emotions.
Topics of interest include but are not limited to:
Recognition and synthesis of human affect
Multimodal modeling of cognitive and affective states
Affective Speech Analysis, Recognition, and Synthesis
Affective text processing and sentiment analysis
Multimodal Data Fusion for Affect Recognition
Face analysis and synthesis
Body action and activity recognition
Gesture recognition, analysis, and synthesis
Affective computing and multi-modal interaction
Psychological and behavioral analysis
Perceptual and cognitive aspects of non-verbal interaction
Affective, Social, and Inclusive Robotics and Virtual Agents
Affect and Group Emotions
Databases and tools for affective computing
Open Resources for Affective Computing: datasets, benchmarks, and tools
Affective computing technologies and applications
Fairness, privacy, and ethical issues
There will be no proceedings for this venue. Therefore, published, new or ongoing works are all welcome.
Guidelines:
Length: No more than 2 pages (excluding references and acknowledgements) in 10pt font.
Template: Authors are required to use the LaTeX Template
Author Information:
The presenting author's name must be underlined.
The name of the corresponding author must be indicated with an asterisk (*)
Each author is required to provide their name, affiliation, and email.
Content: The submission should cover the following aspects:
A brief introduction: this section motivates the work, gives a quick review of the literature, and positions the proposed method with respect to existing works while highlighting its novelty.
A second section should be dedicated to present sufficient details of the proposed method.
A third last section should present relevant results to support the proposed method and compare to state-of-the-art works. When possible, it is better to provide a link to public code of the proposed method.
Behavioural and Health Science Track
Behavioural medicine is a field of research and practice that builds on collaboration among multiple disciplines. These disciplines are concerned with the development and integration of behavioural and biomedical knowledge relevant to health and disease. Behavioural knowledge refers to psychosocial, societal, economic, cultural, existential, and environmental processes of health- and disease-related behaviour, and biomedical knowledge refers to physiological, pathological, and medical processes. This knowledge is applied to prevention, health promotion, diagnosis, treatment (including digital interventions), rehabilitation, and care. The scope of behavioural medicine is broadly inclusive of behavioural and biomedical science as well as clinical and public health practice.
Guidelines:
Length: The total length should not exceed 1 page, 2 cm margins, 1.5 spacing, and 10 point Calibri font (excluding references and acknowledgements).
Protocols: All abstracts presenting a protocol must include the word “Protocol” in their title, and have the name of the trial registry and the trial registration number included at the bottom of the abstract submission page. Unless they are registered protocols, abstracts need to include at least preliminary results. Non-registered protocols or abstracts without any results will not be accepted.
Author Designations:
The name of the Presenting Author must be underlined
The name of the Corresponding Author must be indicated with an asterisk (*) at the top and bottom of the page.
Author Names: Names should be listed as “First Name” and “Last Name” followed by superscript numbers to refer to their affiliations, followed by their degree.
Affiliations: Must contain the following information in this exact order:
Name of the university department, research center, and/or hospital center, Name of the university, City, Province/Country
Headings: The abstract must include the following clearly identified headings:
Abstract Title
Authors, Author Titles and Affiliations
Background
Objectives
Methods
Results
Conclusion
Character Length: The total length of the abstract should not exceed 1,750 characters (including spaces and excluding the authors and their affiliations).
Sample: Download template to help you prepare your submission.