CyborgCrowd: Flexible and Scalable Aggregation of Human-Machine IntelligenceThis page is a tentative version and to be updated.
May 3rd, 2017: We will have the JST CREST Three Project Joint Symposium "Better Future of People and AI" at University of Tsukuba on the 2nd of June
In this project, we conduct research on theory and implementation of middleware that achieves flexible integration of crowdsourced processing, machine processing and any combination of them, taking the availability of people and algorithms into consideration. We also conduct feasibility studies in various application domains including disaster response, aiming to establish flexible and scalable infrastructure that aggregates human and machine intelligence. This project is conducted as a part of the "Intelligent Information Processing Systems Creating Co-Experience Knowledge and Wisdom with Human-Machine Harmonious Collaboration" research area under the supervision of Dr. Norihiro Hagita (Board Director, Director, Intelligent Robotics and Communication Laboratories, Advanced Telecommunications Research Institute International) The grant period starts on the 1st of Dec., 2016 and ends on the 31st of March, 2022.
Research Group Leaders
Research Participants and Collaborators
3. Collaborating Organizations(to appear)
4. Research Groups
Middleware Research Group: University of TsukubaThis group conducts research on (1) the CyborgCrowd computation model and (2) the requirements, design, and implementation of the CyborgCrowd middleware, collaborating with top leaders of real-world appllication domains. The model must be carefully designed taking into consideration the tradeoff between its expressive power and usability, while middleware must be extensible so that it can handle solutions required in the real-world problems.
Society Implementation Research Group: Shizuoka UniversityThis group conducts research on CyborgCrowd from the viewpoint of real-world applications, focusing on the requirements to the CyborgCrowd middleware and its deployment into various applications. In particular, the group addresses applications that require geographical maps and aerial shoots in order to develop Common Operational Picture which is necessary for effective disaster response, because such applications require humans' cognitive ability and thus are a promising domain where crowdsourcing is effective. For achievement of applicating CyborgCrowd to such complicated real-world, we have to re-design work-flow of information management integrating human-resources and machines rationally. The group identifies the requirements for the middleware and benchmark scenarios for its evaluation, so that the project can design the CyborgCrowd middleware in an appropriate way and make the middleware meet the required level of real-world applications.
Theory Research Group: Kyoto UniversityThis group conducts theoretical research on (1) the solution space including human-based, machine-based and hybrid solutions, and (2) optimization of solutions in the space. Examples for the first issue include theoretical analysis of the expressibility and completeness of the CyborgCrowd computation model. Examples for the second issue include extending database optimimization techniques so that they can deal with data processing conducted by crowds, aiming at improving the data quality and performance of execution plans with complex data flows involving people.
5. Projects with Application-Domain Top LeadersTo make our research results meaningful, we always assume real-world applications when conducing our research. Our project has research participants and collaborators who are top leaders of important domains and conduct research projects toghther with researchers on fundermental issues.
Note: This list is under construction and incomplete.
Journal & Conference Papers (reviewed)