The Empathic Computing Laboratory is an academic research group exploring ways for technology to enable better understanding and better lives.

Joined November 2021
Should Aotearoa build its own public-sector language model? Two University of Auckland law and tech researchers argue yes, on price, auditability and access. auckland.ac.nz/en/news/2026/… [1/2]
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They cite Switzerland's Apertus and Singapore's SEA-LION, and Te Tiriti o Waitangi as a reason a local model would behave differently. A question we sit with too: who holds the data when sensing gets intimate? #AI #Aotearoa [2/2]
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OpenAI says more research is needed. Credit to them for reporting it openly, and a reminder that a more natural-sounding voice needs its own safety testing. [3/4]
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Making a system sound warmer makes it easier to talk to, and easier to lean on. For us, empathic systems should support connection between people, not replace it. [4/4]
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The spec sheet is nice, but the form factor is the interesting part. Heavy headsets shape how participants behave and cap how long a study session can run. [2/3]
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Lightweight glasses at this price make longer, in-the-wild AR collaboration studies much easier to imagine. What would you test first? [3/3]
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UoA celebrated its 2026 Research Excellence Awards last week — five medals, plus recognition for the professional staff who keep research running. auckland.ac.nz/en/news/2026/… [1/2]
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Our empathic computing studies run on that scaffolding — technicians, research support, the people who make participant sessions happen. Congratulations to everyone recognised this year. [2/2]
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The part we are watching isn't the benchmark race (results are still pending), it's the open weights. Running a capable model locally means sensitive physiological data from our studies can stay in the lab. [2/3]
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That changes what we can reasonably ask participants to share. One to revisit once the weights actually land. How much does open-weight access matter in your own work? [3/3]
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Congratulations to our ABI colleagues - the Heart Foundation has awarded $2.32m across eight University of Auckland heart research projects. auckland.ac.nz/en/news/2026/… [1/2]
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Two of them sit close to our own patch: a smartphone tool that reads tiny neck-skin movements to assess the pulse, and AI modelling to take manual work out of heart ultrasound analysis. Camera-based physiological sensing, put to clinical use. [2/2]
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ISMAR 2026 has wrapped in Bari — the 25th edition ran 5-9 October, and the recorded paper and poster talks are now up on the ISMAR YouTube channel. ieeeismar.net/2026/ [1/3]
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ISMAR has long been a home venue for research on AR collaboration and shared experience, and a lot of our lab's work has gone through it. The recordings are a good way to catch up on where mixed reality research sat this year. [2/3]
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Google has moved Gboard's federated learning into trusted execution environments, so its differential-privacy guarantees can be verified from outside the company rather than taken on trust. research.google/blog/toward-… [1/3]
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Access policies go into a public transparency log; operators see only anonymised weights and metrics. Attested rather than promised. A whitepaper is linked from the post. [2/3]
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We work with faces, voices, heart rate and gaze: data people share because they trust the setup. Verifiable rather than merely claimed feels like the right bar. Would you share physiological data if the guarantee were auditable? #EmpathicComputing #Privacy [3/3]
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