| Key | Action |
|---|---|
| K or space | Play / Pause |
| M | Mute / Unmute |
| C | Select next subtitles |
| A | Select next audio track |
| V | Show slide in full page or toggle automatic source change |
| left arrow | Seek 5s backward |
| right arrow | Seek 5s forward |
| shift + left arrow or J | Seek 10s backward |
| shift + right arrow or L | Seek 10s forward |
| control + left arrow | Seek 60s backward |
| control + right arrow | Seek 60s forward |
| shift + down arrow | Decrease volume |
| shift + up arrow | Increase volume |
| shift + comma | Decrease playback rate |
| shift + dot or shift + semicolon | Increase playback rate |
| end | Seek to end |
| beginning | Seek to beginning |
Industrial applications of AI, IoT, augmented reality and digital twins in connected, distributed and scalable Factories of the Future bear the promise of new, more efficient and better optimized manufacturing. In the future, human workers and robots would no longer work in separation. Cobots would operate alongside humans with mobile robots assuming more and increasingly independent tasks on the shop floor. The expected optimization gains, however, would have to be balanced against the fundamental rights of workers. Indeed, the most promising use cases for human-robot collaboration entail also the most privacy-invasive practices, such as recognition of speech, gait analysis, and emotion detection. The rollout of these new scenarios would depend on balancing the values of human safety, IT and OT security and workplace privacy. In this talk, we push several selected use cases to their point of collision with EU privacy and data protection law and attempt to salvage as much as possible from the wreckage.