News (2021/01/06): The workshop venue is W25 - Blue Wing South 1. You can use the calendar icon to enable navigation path and follow along. You can also use the shortcut features explained in the IJCAI website.
News (2021/01/05): Link to the venue has been posted HERE. At least one day before the workshop, you can access it to get familiar with the interface. Zoom session will only be available on the day.
News (2020/12/23): Final workshop schedule has been posted.
Recent advances in AI help improving our understanding on dynamic human crowd motion and behavior. These advances provide essential grounds for modeling and simulating human crowd under various environmental conditions such as architectural structures (e.g. buildings, stations, stadiums, museums, airports). There is a growing recent interest in identifying relationship between human (crowd) behavior and the built environmental structures, utilizing recent developments in AI and machine learning techniques as well as incorporating findings from perceptual, cognitive principles.
This inaugural IJCAI-PRICAI 2020 Workshop aims to initiate the first-of-its-kind gathering of multidisciplinary experts interested in this area. This multidisciplinary approach combines cognitive principles and many different areas of machine learning to study the relationship between human behavior and the spaces they inhabit. It will also provide a platform for discussion on collecting appropriate data and challenges in the future gatherings.
Program Schedule
The inaugural event is scheduled as a half-day workshop, but the presentations are spreaded to meet the presenters’ time zone preferences. The following is the finalized schedule. Each talk is 20 min long and there will be 10 min for questions and answers (also used for transitions).
- Oral Session 1: Friday, January 8, 12:00am-5am UTC
- Welcome Message
- 12:00am (UTC): Learning To Move - Reinforcement Learning in Navigation [extended abstract]
- Brandon Haworth (Univ. of Victoria)
- 12:30am (UTC): Environment Optimization using Different Measures [extended abstract]
- Glen Berseth (Univ. of California, Berkeley)
- 01:00am (UTC): Learning Pedestrian Crowd as Clusters using Abstracted Features [extended abstract]
- Yasunori Yokojima (Siemens K.K.), Tatsuhide Sakai (Daihatsu Motor Co. Ltd.)
- 01:30am (UTC): Break (30 min)
- 02:00am (UTC): Analyzing Human-Building Interactions in Virtual Environments using Crowd Simulations [extended abstract]
- Muhammad Usman (York Univ.)
- 02:30am (UTC): Measuring the Effects of Autonomous Mobile Robot on Pedestrian Behavior [extended abstract]
- Carolina Minami Oguchi (AIST), Ryo Nishida (AIST, Tohoku Univ.), Shusuke Shigenaka (AIST, Univ. of Tsukuba), Masaki Onishi (AIST)
- Oral Session 2: Friday, January 8, 8am-1pm UTC
- 08:00am (UTC): Cognitive Modeling of Information Sources for Human Wayfinding Under Uncertainty [extended abstract]
- Rohit Dubey (ETH Zurich), Mubbasir Kapadia (Rutgers Univ.), Christoph Hoelscher (ETH Zurich)
- 08:30am (UTC): Responsive Environments with Virtual Reality Experiments and Simulations [extended abstract]
- Hantao Zhao (Disney Research & ETH Zurich)
- 09:00am (UTC): Break (30 min)
- 09:30am (UTC): Challenges in Using Digital Twins for Modelling Human Behaviour in Environments [extended abstract]
- Hadi Banaee (AASS), Franziska Klügl (AASS), Amy Loutfi (AASS)
- 10:00am (UTC): Measure Task-Level Inter-Agent Interaction Difficulty in Decentralized Scenarios [extended abstract]
- Gang Qiao (Rutgers Univ.), Kaidong Hu (Rutgers Univ.), Seonghyeon Moon (Rutgers Univ.), Sejong Yoon (The College of New Jersey), Mubbasir Kapadia (Rutgers University), Vladimir Pavlovic (Rutgers Univ.)
- 08:00am (UTC): Cognitive Modeling of Information Sources for Human Wayfinding Under Uncertainty [extended abstract]
Time Zone conversion table for your convenience (Also see here):
| JST | CET | UTC | EST | PST |
|---|---|---|---|---|
| 9am | 1am | 12am | 7pm^ | 4pm^ |
| 2pm | 6am | 5am | 12am | 9pm^ |
| 5pm | 9am | 8am | 3am | 12am |
| 10pm | 4pm | 1pm | 8am | 5am |
Please note that “^” mark indicates Thursday, January 7, 2021, local time.
Call for Contributions
We are looking for submissions of position papers and work-in-progress extended abstracts (2 pages) on the relevant topics, including but not limited to:
- Identifying existing challenges in the modeling of humans and environments
- Identifying and analyzing the relationships between human (crowd) and various environments
- Novel neuro-cognitive models for human (crowd) motion and behavior
- Deep learning-based models
- Reinforcement learning-based models
- Graph-based representation learning models
- Applications of neuro-cognitive models for human (crowd) and environment
- Datasets for studying human (crowd) and environment relationships
How to Submit
Papers must be written in English, and no longer than 2 pages in IJCAI-PRICAI format. Only the list of references may go beyond this page limit. Optionally, you may submit supplementary materials (e.g. videos) up to 20 MB.
The reviewing process will follow the double blind policy. Position papers, forwarding looking work (work yet to be done), and summaries of recently published work are all welcome.
The official template can be downloaded from here.
The link to the submission CMT site is here.
IMPORTANT DATES
Round 1 Submission deadline: May 11, 2020Round 1 Acceptance notification: May 25, 2020-
Round 1 Camera ready deadline: June 15, 2020 Round 2 Submission deadline: September 10, 2020 September 17, 2020Round 2 Acceptance notification: September 24, 2020-
Round 2 Camera ready deadline: September 29, 2020 - Workshop date: January, 8, 2021
Organizing Committee
- Vladimir Pavlovic (Rutgers University, Samsung AI Center)
- Mubbasir Kapadia (Rutgers University)
- Sejong Yoon (The College of New Jersey)
Sejong is the primary contact for the organizing committee. Please send your questions to yoons@tcnj.edu.