The advances in machine and deep learning resulted in approaches where systems directly learn from human observations and input. The area is very wide and spans beyond the speech and vision modalities, to include, among others, human actions and emotions. This brings us to a myriad of possible cases such learning systems can be applied to. Systems learning by observing humans are meant to be utilized mainly for interaction with humans. Thus, the need for such systems in mature and emerging industries, including gaming, robotics, driverless cars, smart homes, etc, is urgent. The idea of the workshop is to bring together experts from related fields to discuss the current state of the art and most promising future research directions. Its general objective is to assist and encourage scientific transactions among researchers in the fields of robotics, computer vision, gaming, AAL technology and other disciplines that benefit from and contribute to Human Machine Interaction (HMI). The workshop will be hosted by the PETRA conference and will include oral and poster presentations and an expert panel about the advances and challenges in contemporary HMI systems.
The topics of the workshop include, but are not limited to:
The overall goal is to give the initial impetus for creating a community in Learning by and for HMI. To do so, the following actions are scheduled:
ACM will be the publisher of the proceedings of PETRA conference and workshops. The proceedings will be a volume in the ACM International Conference Proceedings Series in the ACM Digital Library. Authors must follow the same formatting guidelines as employed for the main conference paper submissions. Refer to the guidelines here. You can submit your paper using the main conference submission system by selecting the option Workshop Paper from the dropdown menu. To submit a paper, please visit the submission system.
The list of workshops and deadines are available at the main workshops page. All workshops have the same deadlines.