[robotics-worldwide] [meetings] 1st CfP: Workshop on AI for Multimodal Human-Robot Interaction (AI-MHRI)
Elin Anna Topp
elin_anna.topp at cs.lth.se
Fri Apr 6 07:25:46 PDT 2018
*** apologies for cross-posting ***
CALL FOR PAPERS
Workshop on AI for Multimodal Human-Robot Interaction (AI-MHRI)
a FAIM workshop, Stockholm, Sweden, July 13-14 or 14-15
The Artificial Intelligence for Multimodal Human Robot Interaction (AI-MHRI) workshop offers a platform for researchers at the intersection of AI and Multimodal HRI. HRI research studies the interaction between humans and increasingly intelligent and autonomous machines, from the sensory to the physical modality, from problems of learning, social signals, collaboration, to design. Sophisticated AI models and implementations are critical in this endeavor but are not often explicitly addressed. AI models and implementations, on their part, are often developed without sufficiently considering how humans interact with them, whether they understand them, trust them, and are willing to collaborate with them. We thus believe that AI is a significant challenge in HRI research and HRI is a significant challenge in AI research, and this mutual significance motivates our workshop.
Because the AI-MHRI workshop takes place during the IJCAI/ECAI, AAMAS, and ICML meetings, researchers working on AI, Autonomous Systems, and Machine Learning have an opportunity to contribute to the emerging connection between AI and HRI. This workshop builds on previous AAAI Fall Symposia (AI-HRI 2014, 2015, 2016, and 2017, see https://urldefense.proofpoint.com/v2/url?u=http-3A__ai-2Dhri.github.io&d=DwIGaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=PZtTRCYZ1mx2CkSMY-tN9H0_fHLPQpl_JZYZyR1IJ3U&s=Y8DIcIUpnanfdj-11nRQXd1CRT6vcObPEYGLRv1mIz8&e=) and connects on previous workshops in the area of social signals in HRI (e.g., Vocal Interactivity in-and-between Humans, Animals and Robots; see https://urldefense.proofpoint.com/v2/url?u=http-3A__vihar-2D2017.vihar.org&d=DwIGaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=PZtTRCYZ1mx2CkSMY-tN9H0_fHLPQpl_JZYZyR1IJ3U&s=OcZyw3hUwl9WW2Kx9EWhJrEmqVAoPs1CBGqroXbWoTE&e=). The AI-MHRI workshop, however, puts a greater emphasis on discussions, joint research development, and identifying promising future directions of the intersection of these fields, rather than strictly adhering to the standard “mini-conference” format.
The two-day workshop will feature three to four invited talks that introduce major perspectives and components of the AI-MHRI interface. In addition, a significant part of the program on Day 1 will consist of themed sessions in which researchers present short position papers that feature particular perspectives, controversial findings and ideas, novel hypotheses, or future directions — all to provoke discussion and make progress in the exchange between AI and HRI. We particularly encourage pairs or groups of researchers to jointly write and present position papers that contrast or integrate different viewpoints. Day 1 will close with a poster session to give junior researchers a chance to present their innovative work. Day 2 will be reserved for paper authors to work with workshop attendees to strengthen, expand, or revise their ideas. The updated papers will be presented in the afternoon with discussions to inspire new line of research and development.
The workshop is dedicated to studying AI-based solutions to multimodal HRI, and to feeding AI with socially acceptable, trustworthy and effective multimodal HRI data. It is aimed at participants with diverse backgrounds ranging from AI, robotics, interaction and speech technology, machine learning, computer vision, social psychology, and multimodal interaction. The discussions in the workshop will be organised around specific themes, based on the participants' submissions. Please see our website (https://urldefense.proofpoint.com/v2/url?u=https-3A__ai-2Dmhri.github.io_&d=DwIGaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=PZtTRCYZ1mx2CkSMY-tN9H0_fHLPQpl_JZYZyR1IJ3U&s=zo0qhWFOJLhF2Y50irIYMsCun49YTEAUt2tU2A579bI&e=) for more information on the workshop themes.
We accept submissions of two forms: position papers (2-4 pages) that will form the basis of the themed sessions and discussions, and extended abstracts (2 pages) that will form the basis of the poster session.
*Position papers should offer a statement or illustration of how the authors' work connects, contrasts, or integrates aspects of AI and Multimodal HRI. Authors are also encouraged to speak more broadly about the role that their research can play in bringing together the individual contributions from the AI, Multimodal signal processing, and HRI communities into a cohesive view of AI-MHRI. Accepted position papers will be posted on the workshop website before the conference, and authors commit to updating these papers both during the workshop (in the writing sessions on Day 2) and after the workshop as possible submissions to a publication in a suitable journal.
*Extended abstracts for the poster session can feature theoretical, empirical, or technical contributions. Each accepted poster contributor will introduce their take-home message in a 1-minute lightning presentation just before the poster session.
Please see our website (https://urldefense.proofpoint.com/v2/url?u=https-3A__ai-2Dmhri.github.io_&d=DwIGaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=PZtTRCYZ1mx2CkSMY-tN9H0_fHLPQpl_JZYZyR1IJ3U&s=zo0qhWFOJLhF2Y50irIYMsCun49YTEAUt2tU2A579bI&e=) for further submission instructions.
Position paper submission deadline: May 7
Author notification: May 28 (tentative)
Camera-ready paper deadline: June 29
Gérard Bailly, GIPSA-Lab, Univ. of Grenoble-Alps, France
Laura Hiatt, Naval Research Laboratory, Washington DC, USA
Kristiina Jokinen, AIRC, AIST Tokyo Waterfront, Japan
Tatsuya Kawahara, Kyoto Univ., Japan
Bertram Malle, Brown Univ., USA
Roger Moore, Univ. of Sheffield, UK
Elin A. Topp, Lund Univ., Sweden
Elin Anna Topp, PhD
Associate Professor, Dept. of Computer Science, Lund University - LTH
Box 118, 22100 Lund, Sweden *** Phone: +46 (0)46 222 4249
https://urldefense.proofpoint.com/v2/url?u=http-3A__www.cs.lth.se_home_Elin-5FAnna-5FTopp&d=DwIGaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=PZtTRCYZ1mx2CkSMY-tN9H0_fHLPQpl_JZYZyR1IJ3U&s=_fEEncS6cYGHcQuXgDrWd1MkN9e8LAnVB_snv92669U&e= *** Skype: eat1974
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