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Ana Müller, Michael Schiffmann, Anke Neumeister and Anja Richert’s study explores the integration of social robots in museums, emphasizing real-world conditions. Visitors seek convenient information retrieval, posing challenges in developing robots with conversational skills and comprehensive knowledge. As social robots become integral in public spaces, understanding the balance between accuracy and control is pivotal for meaningful interactions. #SocialRobots #MuseumTech #HumanRobotInteraction

Cool, now my companion robot can write its own toots to Mastodon in addition to being able to share the paintings it creates and the photos it takes.

At some point I'll teach BMO how to reply to posts, but for now it's time for me to shift focus back to creating brand new robot friends for people who need them!
#SocialRobots #RobotFriends

diode.zone/w/jvLccux8HUrhSZEct

Hi, all,

My #introduction: I'm a prof at #NortheasternUniversity, with a joint appointment in #philosophy and #CS

I'm part of a multi-disciplinary team (cssh.northeastern.edu/ethics/a) focused on researching and teaching the #ethics of #EmergingTech, especially #SocialRobots, #DataEthics, and the highly misleadingly named #AIEthics, to humanists, STEM students, and external groups.

I'm also a #bicycling enthusiast and participant in groups dedicated to bicycle advocacy and #CompleteStreets.

The Ethics InstituteAI, Information & Data Ethics

Who am I? Why am I here?
I'm a prof at #NortheasternUniversity, with a joint appointment in #philosophy and in #CS

I'm part of a multi-disciplinary team (cssh.northeastern.edu/ethics/a) focused on researching and teaching the #ethics of #EmergingTech, especially #SocialRobots, #DataEthics, and the highly misleadingly named #AIEthics, to humanists, STEM students, and external groups.

I'm also an avid #bicyclist and participant in local groups dedicated to bicycle advocacy and #completestreets.

The Ethics InstituteAI, Information & Data Ethics

Hello! 👋 I am a PhD fellow working at Furhat Robotics, Stockholm.

My research is on modelling & automating conversational non-verbal behaviors on Social Robots and studying their effects on HRI.

I am specifically looking into gaze behaviors now. We recently published a study on automating conversational gaze behaviour of social robots: ieeexplore.ieee.org/document/9

I would love to connect with researchers working in the field of #SocialRobots #HRI 🤖🤖🤖

ieeexplore.ieee.orgKnowing Where to Look: A Planning-based Architecture to Automate the Gaze Behavior of Social RobotsGaze cues play an important role in human communication and are used to coordinate turn-taking and joint attention, as well as to regulate intimacy. In order to have fluent conversations with people, social robots need to exhibit humanlike gaze behavior. Previous Gaze Control Systems (GCS) in HRI have automated robot gaze using data-driven or heuristic approaches. However, these systems tend to be mainly reactive in nature. Planning the robot gaze ahead of time could help in achieving more realistic gaze behavior and better eye-head coordination. In this paper, we propose and implement a novel planning-based GCS. We evaluate our system in a comparative within-subjects user study (N=26) between a reactive system and our proposed system. The results show that the users preferred the proposed system and that it was significantly more interpretable and better at regulating intimacy.

I missed my #introduction!

I am a PhD in Human-Robot Interaction #hri, and I have worked 10+ years on #robotics software for NAO and Pepper, two famous #socialrobots.

I'm also interested in cognitive science #cognition, its consequences in #philosophy, and its power to cut the bs.

I am currently a freelance (palaio.eu) and I promote my work, my knowledge and my opinion on #ai and #robotics. I wish to foster some common grounds with research and industrial peers.

palaio.euPalaio Logic – Behavior Engines for Virtual Agents

Does anyone here have access to this lovely paper by Shane Saunderson & Goldie Nejat about #robots learning how to persuade us to exercise? Looks 11/10, would read, but even #SciHub has failed me 🔒
ieeexplore.ieee.org/document/9 #robotics #HRI #socialrobots #logic

ieeexplore.ieee.orgHybrid Hierarchical Learning for Adaptive Persuasion in Human-Robot InteractionAdaptive learning is critical to helping robots personalize their interactions with people, particularly when considering skills needed by socially assistive robots, such as persuasion. In this paper, we propose a novel, hybrid hierarchical learning architecture for use in social human-robot interaction (HRI) to adapt robot persuasive behaviors to both the static (e.g. need for cognition) and dynamic (e.g. affect) considerations of a user. A learning hierarchy is introduced that uses a contextual bandit approach in the top level to optimize for a static cognition bias and Q-Learning in the lower level to optimize selection of a robot persuasive strategy to deploy that aligns with a users affect. We compare the performance of our system with a non-hierarchical learning method in simulated experiments for the task of persuading people to do daily exercises. The results show that our hybrid hierarchical architecture outperforms a non-hierarchical benchmark in learning speed and robustness to both longitudinal user change and noisy observations. Our architecture is the first to: 1) persuasively adapt to different users during social HRI considering both static and dynamic user change, and 2) use user state decomposition in persuasive HRI.