IHSI 2021 Conference aims to provide a global forum for presenting and discussing novel approaches, design tools, methodologies, techniques, and solutions for integrating people, intelligent technologies and automation, and artificial cognitive systems in all areas of human endeavor in industry, economy, government, and education, including but not limited to energy, transportation, urbanization and infrastructure development, digital manufacturing, social development, human health, sustainability, new generation of service systems, as well as safety, risk assurance, autonomy, and cybersecurity in both civilian and military contexts.
IHSI 2021 Conference will focus on advancing the theory and applications of artificial cognitive systems and human-artificial systems collaboration by adopting a hybrid-centered design approach that utilizes and expands on the current knowledge of human-centered design and intelligent systems supported by cognitive software and engineering, smart data analytics, large scale socioeconomic simulations, and next generation computer visualization. This interdisciplinary conference will also expand the boundaries of the current state-of-the-art by investigating the pervasive complexity that underlies the most profound problems facing contemporary society today.
All submitted papers will be peer-reviewed by three independent referees from the International Editorial Board. Papers in the theoretical category should deal with theories, models, concepts, and structures; papers in the generic category should present research results of broad applicability; and papers in the applied category should show how research is translated into technological innovations for intelligent human-artificial systems collaboration.
Automotive design is the Human- Centred Design (HCD) development and refinement of the exteriors and interiors of automobiles, sport utility vehicles (SUVs), luxury cars, high performance cars and, to a lesser extent, motorcycles, trucks, buses, coaches, and vans.The conference also covers, in dedicated sessions, various topics of Autonomous and self-driving Vehicle and Artificial Intelligence to address the challenges and opportunities of developing AI and software platforms for autonomous and self-driving vehicles. Topics of interest include but are not limited to:
The term of Human-Autonomy Teaming (HAT) describes systems in which humans work with highly automated agents. Traditionally exclusively owned by the human, higher cognitive capabilities (e.g., situation assessment, planning, and decision-making) are now becoming an integral part of automated functions. The more capable suchlike agents become, the more essential the challenging issue of human-system functional allocation and integration turns out to be. This conference track shall address the issues of conceptual design, integration, and evaluation of HAT-systems. Design patterns for human-agent cooperation shall be investigated.
Topics of interest:
a. Adaptive Automation
b. Artificial Intelligent Agents
c. Delegation Systems
d. Human Mental State Estimation and Modelling
e. Mixed-Initiative Planning and Operation
f. Multi-Agent Systems
g. Operator Assistance
h. Teams and Swarms
i. Trust and Situation Awareness
j. Unmanned Systems
IHSI Applications and Future Trends track will focus on key research topics that are aligned with the concept of Human System Integration. Topics of interest include but are not limited to:
a. Visualizations to reveal system operation
b. Interface design for human control
c. Modular design and support for continuous system improvements
d. Systematic logging to support retrospective analyses of failures
e. Mechanism to enable reports of failures and near-failures
f. Continuous participation of experts to support improvements
g. Clarification of responsibility for failures and successes
h. Algorithmic accountability and transparency
i. Ethical concerns and considerations
Department of Architecture
"Enzo Ferrari" Department of Engineering
University Medical Center
CPMTESSA - Core Competence Center For Operations Research
FIPU - Faculty of Informatics