This test has been stewing since I wrote this 8 years ago… A lot has changed since then, but some parts still remain valid technologyreview.com/2017/11…
→ View original post on X — @petitegeek, 2025-08-06 13:19 UTC
@petitegeek
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Robot Form Study: How Appearance Affects Human Interaction Behavior
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We tested a robot form, human-like character, animals, and objects. People change how they interact depending on looks. RTT Test arxiv.org/abs/2507.10812 Full set of human behaviors ieeexplore.ieee.org/document… We are inspired by @mpshanahan's essays and others. Feedback welcome!
→ View original post on X — @petitegeek, 2025-08-06 13:14 UTC
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Robot Responses to Physical Stimuli and Gestural Communication
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…such as kicking (pain), and other affective stimuli 4. The robot's responses to higher level emblems, eg. waving or heart gestures 5. The robot's responses to pointing to things in context, like clothing 6. The robot's responses to roleplay, especially based on its looks
→ View original post on X — @petitegeek, 2025-08-06 13:14 UTC
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Testing Robot’s Sensing, Motor Abilities and Emotional Responses
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In our preliminary experiments, people tested: 1. The robot's sensing abilities, such as whether it could track them visually or respond to poking 2. The robot's motor abilities, or whether they could copy their movements 3. The robot's responses to smiling, aggression,…
→ View original post on X — @petitegeek, 2025-08-06 13:14 UTC
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React to This Test: Identifying Teleopererated Robots Through Movement
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You have one minute to interact with a robot through movement only. At the end, you need to say whether it's tele-operated or not. That's the React to This (RTT) Test – one of the robot Turing tests presented at activeself.de/movement-matte… Here's how initial tests went down 👇
→ View original post on X — @petitegeek, 2025-08-06 13:14 UTC
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Human Brain Dynamics: Feedback Loops Beyond Feed-Forward Neural Networks
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2/ The human brain is not a purely feed-forward network like an ANN. It's a dynamical system with feedback loops. For instance, a seizure involves a cycle of uncontrolled activation, which afaik can't happen in your typical ANN
→ View original post on X — @petitegeek, 2025-06-28 14:21 UTC
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Inhibitory Neurons in Biological vs Artificial Neural Networks
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3/ ANNs model excitatory neurons. But there also exist inhibitory neurons! These reduce the likelihood of firing. We don't model inhibitory neurons in typical artificial NNs. Glutamate is the neurotransmitter involved in excitatory processes, and GABA for inhibitory ones.
→ View original post on X — @petitegeek, 2025-06-28 14:21 UTC
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Temporal Synchronization in Biological vs Artificial Neural Networks
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1/ In humans, the timing of input into a neuron matters. If you have two action potentials entering a soma, arriving at the same time could cause it to fire. BUT the same inputs with some delay between each other might not. In a typical artificial NN, timing doesn't matter.
→ View original post on X — @petitegeek, 2025-06-28 14:21 UTC
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Dr. Angelica Lim’s Talk on Multimodal Learning for Embodied AI
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Come and join us listen to @petitegeek’s talk on Multimodal Learning for Interactive Embodied AI! Very cool demos!
→ View original post on X — @petitegeek, 2024-12-10 17:20 UTC
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Dr. Angelica Lim speaks at WiML panel discussion at NeurIPS
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Don’t miss @petitegeek, assistant professor at @SFU_CompSci, sharing their perspective at the panel discussion #WiML at #NeurIPS!
→ View original post on X — @petitegeek, 2024-12-05 02:11 UTC