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

Joined November 2021
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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The question underneath it - who governs the data a system learns from - sits close to our own work. We build systems that read faces, voices and physiological signals. About as personal as data gets. [2/3]
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Which is why consent and governance cannot be an afterthought for us. What should a lab like ours be doing differently? #DataSovereignty #EmpathicComputing [3/3]
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IEEE ISMAR turns 25 this week. The 25th International Symposium on Mixed and Augmented Reality opens today in Bari, Italy, running 5-9 October. ieeeismar.net/2026/ [1/2]
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ISMAR has shaped a quarter-century of AR and MR research, and much of our lab's work on shared AR workspaces and social presence grew out of it. ACM SUI follows in Bari 10-11 Oct. Which paper or demo should we all be reading? #EmpathicComputing #XR [2/2]
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NZ academics are calling for a national AI office, as Australia, the UK, Canada, Singapore and Japan have — to coordinate work here and give Aotearoa a voice in international AI governance. itbrief.co.nz/story/new-zeal… [1/2]
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The line that stuck with us: New Zealanders are among the heaviest users of AI assistants and among the most distrusting of it. That gap is a research question as much as a policy one. What should such an office work on first? [2/2]
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Eye tracking is the part we'll watch. Gaze and physiological signals are how our lab makes a collaborator's attention visible to the people working with them — consumer sensing brings those consent questions along too. What are you hoping to see? [2/2]
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