Rostislav Yavorskiy. Designing Hybrid Teams of Virtual Assistants, Robots, and Humans

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Transcript

1. International Summer School on Data Science in Software Engineering Hybrid Teams of Virtual Assistants, Robots, and Humans Rostislav Yavorskiy Tomsk Polytechnic University 12 July 2021 1
2. Skills profile of a computer engineer 2
3. 3 https://resume.io/
4. Evolution of Computer Engineering: Hardware 4
5. Evolution of Computer Engineering: Mathematics 5
6. Evolution of Computer Engineering: Networks 6
7. Evolution of Computer Engineering: Architectures 7
8. Evolution of Computer Engineering: Big Data 8
9. Evolution of Computer Engineering: Robots and Virtual Assistants 9
10. Human-robot interaction • Robot’s personality • Physical embodiment of robots • Multimodal human-computer interaction • Socially interactive robots • Human-robot collaboration 10
11. Virtual Agents • Models of conversations • Situation awareness • Expression of emotions and mood states • Autobiography and self-perception • Visual presence and appearance • Building close and harmonious relationship • Research and development tools 11
12. Teams of human, robots and virtual agents • Integration architecture and team dynamics • Models of of perception, belief and intention • Trust in hybrid teams • Navigation in a group • Coordination of tasks • Multi-cultural hybrid teams • Hybrid team efficiency 12
13. Specific applications • Urban disaster recovery ◦ overview of the situation ◦ rescue teams • Sea robot-assisted inspection for ◦ military ◦ environmental ◦ disaster-response 13
15. Systematic analysis of team performance • Task characteristics ◦ depend on the mechanical and intellectual abilities of robots and VAs • Work structure ◦ new communication structure ◦ role differentiation • Team member characteristics ◦ should be re-implemented for robots and VAs 15
16. • Team characteristics ◦ rearranged power distribution ◦ new levels of member diversity and the team climate • Team processes ◦ based on human-robot collaboration • Team interventions ◦ trainings for humans ◦ calibration or update procedures for robots and VAs • Measurement of outputs ◦ team member satisfaction ◦ team viability 16
17. Computer autonomy: from Device to Master 1. Computer offers a complete set of action alternatives 2. Computer narrows the selection down to a few choices 3. Computer suggests a single action 4. Computer executes that action if human approves 5. Computer allows the human limited time to veto before automatic execution 6. Computer executes automatically then informs the human 7. Computer decides everything and acts autonomously, ignoring the human 17
18. Computer autonomy: from Device to Master 1. Computer offers a complete set of action alternatives 2. Computer narrows the selection down to a few choices 3. Computer suggests a single action 4. Computer executes that action if human approves 5. Computer allows the human limited time to veto before automatic execution 6. Computer executes automatically then informs the human 7. Computer decides everything and acts autonomously, ignoring the human 18
19. Computer decides everything means computer engineer decides everything 19
20. Thank you! Questions? 20