@andycarolan@social.lol2024-04-01 16:59:39
Grab my badge pack for FREE (or pay as much as you want to help fund future stuff)
Show visitors to your site that your content is human made and doesn't use AI!
The pack contains 64 88x31px PNG and SVG badges in 8 colors and phrases “made by a human, drawn by a human, human content, written by a human, I am not a robot, never by ai, human content, there's no ai here!”
Finnish version upon request!
@servelan@newsie.social2024-03-31 14:53:14
New Research Provides Clear Evidence of a Human “Fingerprint” on Climate Change
https://scitechdaily.com/new-research-provides-clear-evidence-of-a-human-fingerprint-on-climate-change/
@grifferz@social.bitfolk.com2024-03-01 12:49:14
I'm thinking instead to have a little chat window that pops up and lets visitors know when I am available for a Voight-Kampff test
https://social.lol/@andycarolan/112015952361980159
@andycarolan@social.lol2024-02-29 17:29:48
Want to show visitors to your site that your content is human made and doesn't use AI? Grab my badge pack for FREE (or pay as much as you want)
The pack contains 64 88x31px PNG and SVG badges in 8 colors and phrases “made by a human, drawn by a human, human content, written by a human, I am not a robot, never by ai, human content, there's no ai here!”
#free
@arXiv_csHC_bot@mastoxiv.page2024-05-01 07:17:21
Dynamic Human Trust Modeling of Autonomous Agents With Varying Capability and Strategy
Jason Dekarske (University of California, Davis), Zhaodan Kong (University of California, Davis), Sanjay Joshi (University of California, Davis)
https://arxiv.org/abs/2404.19291 https://arxiv.org/pdf/2404.19291
arXiv:2404.19291v1 Announce Type: new
Abstract: Objective We model the dynamic trust of human subjects in a human-autonomy-teaming screen-based task.
Background Trust is an emerging area of study in human-robot collaboration. Many studies have looked at the issue of robot performance as a sole predictor of human trust, but this could underestimate the complexity of the interaction.
Method Subjects were paired with autonomous agents to search an on-screen grid to determine the number of outlier objects. In each trial, a different autonomous agent with a preassigned capability used one of three search strategies and then reported the number of outliers it found as a fraction of its capability. Then, the subject reported their total outlier estimate. Human subjects then evaluated statements about the agent's behavior, reliability, and their trust in the agent.
Results 80 subjects were recruited. Self-reported trust was modeled using Ordinary Least Squares, but the group that interacted with varying capability agents on a short time order produced a better performing ARIMAX model. Models were cross-validated between groups and found a moderate improvement in the next trial trust prediction.
Conclusion A time series modeling approach reveals the effects of temporal ordering of agent performance on estimated trust. Recency bias may affect how subjects weigh the contribution of strategy or capability to trust. Understanding the connections between agent behavior, agent performance, and human trust is crucial to improving human-robot collaborative tasks.
Application The modeling approach in this study demonstrates the need to represent autonomous agent characteristics over time to capture changes in human trust.
@netzschleuder@social.skewed.de2024-02-29 13:00:05
interactome_stelzl: Stelzl human interactome (2005)
A network of human proteins and their binding interactions. Nodes represent proteins and an edge represents an interaction between two proteins, as inferred via high-throughput Y2H experiments using bait and prey methodology.
This network has 1706 nodes and 6207 edges.
Tags: Biological, Protein interactions, Unweighted
@cdarwin@c.im2024-04-01 17:23:30
@aral@mastodon.ar.al2024-02-29 08:54:48
“There are no more words to speak about what’s going on in Gaza. There are no more laws to break. No more appeals… The hypocrisy is obvious. Our collective [humanity] has failed. Human rights have a skin colour and the darker you are the less human rights you have. [They have tried to silence us], they have tried to make us look like antisemites…all of that to make it possible to kill more Palestinians.”
– Abir Al-Sahlani MEP
@andycarolan@social.lol2024-02-29 17:29:48
Want to show visitors to your site that your content is human made and doesn't use AI? Grab my badge pack for FREE (or pay as much as you want)
The pack contains 64 88x31px PNG and SVG badges in 8 colors and phrases “made by a human, drawn by a human, human content, written by a human, I am not a robot, never by ai, human content, there's no ai here!”
#free
@netzschleuder@social.skewed.de2024-03-01 02:00:06
interactome_stelzl: Stelzl human interactome (2005)
A network of human proteins and their binding interactions. Nodes represent proteins and an edge represents an interaction between two proteins, as inferred via high-throughput Y2H experiments using bait and prey methodology.
This network has 1706 nodes and 6207 edges.
Tags: Biological, Protein interactions, Unweighted
