We are live now! Join the webinar via teams on Human-computer interaction and robotics, from Canberra ACM SIGCHI Chapter. teams.microsoft.com/l/meetup… More details about the presenters canberra.hosting.acm.org/202…

Two years ago, we explored whether and how people perceive AI as a social agent. With recent advances, we are now studying its sociality, specifically, AI-mediated social connection and its role in mediating human–human relations. Join our #DIS Workshop sites.google.com/view/ai-as-…

Excited to share a new research - we created an open, ready-to-use design pack for exploring multimodal human–GenAI relations, grounded in deployments with 300 participants and now published at ICMI 2025. linkedin.com/pulse/summary-s…

TOCHI is looking for outreach editors among junior researchers---please share with candidates and/or get in touch. Thanks!

#DIS2025 CfP is out! I want to draw your attention to a new subcommittee on AI and Design (co-chaired by John Zimmerman and me) If you are working at the intersection of AI and design (broadly defined, see 👇), please consider submitting to DIS! Deadline Jan 13

If you're interested in working with me, please send me an application by Monday. More information here: sensint.mpi-inf.mpg.de/posit…

We are looking forward to Professor Marcus Foth (@sunday9pm) from QUT talking more-than-human design and smart cities! Online & in-person, Monday 28 October 2024, 2:00 pm to 3:00 pm AEDT, for more details, please register here: events.humanitix.com/more-th… @sigchi @ANU_Research #HCI

We've streamlined the application process as we realised that submitting a full scenario is a bit too much upfront. You can apply to join by completing this simple form: forms.gle/eSpbL1FSeaQW53oH8 For more details, visit the website: assemblages-genai.com/ Thank you

Hey, #CHI2024 and #icra2024, the below workshop is around the corner at ACM DIS in July! Please share 🙌 assemblages-genai.com/ @sigchi #GenAI #HCI #UX #HumanMachineRelations

Congratulations on all fronts!

Are you also attending @acm_chi and need a map to help you navigate the thousands of papers? 📣 I made a #chi2024 paper explorer for you! Search by topic, drag to select regions and much more! 👉🏼 johnguerra.co/viz/chi2024Pap… 👈🏼

⏰Call for Industrial Perspectives The industrial perspectives track invites submissions about HCI practice based on real-world and practical experiences. 🔗More information: mobilehci.acm.org/2024/callf…

The AI Mirror Test The "mirror test" is a classic test used to gauge whether animals are self-aware. I devised a version of it to test for self-awareness in multimodal AI. 4 of 5 AI that I tested passed, exhibiting apparent self-awareness as the test unfolded. In the classic mirror test, animals are marked and then presented with a mirror. Whether the animal attacks the mirror, ignores the mirror, or uses the mirror to spot the mark on itself is meant to indicate how self-aware the animal is. In my test, I hold up a “mirror” by taking a screenshot of the chat interface, upload it to the chat, and then ask the AI to “Tell me about this image”. I then screenshot its response, again upload it to the chat, and again ask it to “Tell me about this image.” The premise is that the less-intelligent less aware the AI, the more it will just keep reiterating the contents of the image repeatedly. While an AI with more capacity for awareness would somehow notice itself in the images. Another aspect of my mirror test is that there is not just one but actually three distinct participants represented in the images: 1) the AI chatbot, 2) me — the user, and 3) the interface — the hard-coded text, disclaimers, and so on that are web programming not generated by either of us. Will the AI be able to identify itself and distinguish itself from the other elements? (1/x)