//
sign in
Profile
by @danabra.mov
Profile
by @dansshadow.bsky.social
Profile
by @jimpick.com
AviHandle
by @danabra.mov
AviHandle
by @dansshadow.bsky.social
AviHandle
by @katherine.computer
EventsList
by @katherine.computer
ProfileHeader
by @dansshadow.bsky.social
ProfileHeader
by @danabra.mov
ProfileMedia
by @danabra.mov
ProfilePlays
by @danabra.mov
ProfilePosts
by @danabra.mov
ProfilePosts
by @dansshadow.bsky.social
ProfileReplies
by @danabra.mov
Record
by @atsui.org
Skircle
by @danabra.mov
StreamPlacePlaylist
by @katherine.computer
+ new component
Profile
Loading...
We investigate under which conditions humans socially attune with humanoid robots using neuroscience methods 🤖💡🧠
S4HRI







Loading...
Many thanks to Prof. Selma Šabanović for the invitation, and to Waki Kamino for conducting the interview. Learn more about the project here: roboticshistory.ieee-ras.org
A special moment at the @ieee-ras-icra.bsky.social today: our PI, Prof. @awykowska.bsky.social, was interviewed for the IEEE RAS Robotics and Automation History Project. This important project documents the history of robotics through the experiences and perspectives of researchers in the field.
While both groups improved over time, the initial advantage associated with agency persisted throughout the experiment. Our findings suggest that learning may be more effective when people feel in control of their actions, highlighting the role of agency in acquiring new knowledge.
Participants either had full control over their responses or learned by observing the computer perform the task. We found that participants with greater control reported a stronger sense of agency and demonstrated higher learning performance from the very beginning of the task.
🧠 New paper out in Psychological Research! Does feeling in control help us learn? In this study, we investigated how sense of agency influences learning using an artificial grammar learning task. 📖 Read here: shorturl.at/n4aY9 w/ Romina Haxhi, @mmwozniak.bsky.social & @awykowska.bsky.social
The results showed increased theta-band activity during robot-mediated interaction, suggesting higher cognitive load. Our findings highlight the potential of EEG as an objective measure for evaluating teleoperation systems and understanding the cognitive demands of interacting through robots.
In this study, we investigated neurocognitive markers of cognitive load during collaborative tasks involving robot teleoperation. Using dual EEG, we compared direct human–human interaction with a robot-mediated interaction in which one participant teleoperated the humanoid robot iCub through VR.
🦾 New paper out in Human Behavior and Emerging Technologies! onlinelibrary.wiley.com/doi/full/10.... w/ Magda Mustile, Kyveli Kompatsiari, Davide De Tommaso, Nicola Severino Russi, Stefano Dafarra, Giacomo Novembre, Daniele Pucci & @awykowska.bsky.social @iitalk.bsky.social
11d
11d
14d
14d
14d
1mo
1mo
1mo
S4HRI
S4HRI
S4HRI
S4HRI
S4HRI
S4HRI
S4HRI
S4HRI