| Title | Situational Trust in Self-aware Collaborating Systems |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Papadopoulos, A. V., Esterle, L. |
| Conference Name | 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) |
| Keywords | autonomous system, autonomous systems, autonomy, Biology, Collaboration, Conferences, Ethics, groupware, Human Behavior, human trust, integrating systems, interaction, pubcrawl, Runtime, self-aware collaborating systems, self-awareness, situational trust, Task Analysis, Trust, Trusted Computing |
| Abstract | Trust among humans affects the way we interact with each other. In autonomous systems, this trust is often predefined and hard-coded before the systems are deployed. However, when systems encounter unfolding situations, requiring them to interact with others, a notion of trust will be inevitable. In this paper, we discuss trust as a fundamental measure to enable an autonomous system to decide whether or not to interact with another system, whether biological or artificial. These decisions become increasingly important when continuously integrating with others during runtime. |
| DOI | 10.1109/ACSOS-C51401.2020.00037 |
| Citation Key | papadopoulos_situational_2020 |
Situational Trust in Self-aware Collaborating Systems