Matthew Turk

Professor Emeritus, UC Santa Barbara · 1 appearance on the record.

computed by AI from the episodes · how this works → · full disclaimer →

academicscientistfounderexecutivesites.cs.ucsb.edu/~mturk ↗Wikipedia ↗

He is widely known for co-developing the foundational Eigenfaces method for facial recognition alongside Alex Pentland at MIT. He co-directed UCSB's Four Eyes Lab, served as President of TTIC, and co-founded an augmented reality remote telecollaboration startup acquired by PTC.

9statements → 3claims → 0claims resolved → 4/5average certainty → 1.56/5average debate potential →

3 not checkable as stated how the 3 claims stand · each chip opens the sources

3 assertions · 3 opinions · 3 insights · every statement was checked. The predictions and assertions are the 3 claims: statements the public record can support or contradict. 0 are resolved, and 3 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Matthew argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

How they sound: speaking style how? →

245 words/min while actually speaking · 25.6 um and uh per 1k words

No argument clarity score for Matthew Turk: no usable question→answer exchanges on raw tape (a fair score needs 8+). We do not score a sample that small. Roundtable and news formats yield far fewer direct exchanges than interviews.

Measured by listening to the audio itself: 4,148 words across 1 episode of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →

What they said9 Episodes1

Everything Matthew Turk said on the a16z Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Insight

Matthew Turk defines AR by human experience, not hardware

“My definition of AR is, is not really a technical definition. It's an experiential definition, which is integrating digital information into real world experiences in real time. Ok, it's not fundamentally about technology. It's fundamentally about people and t…”

Matthew Turk Jul 28, 2017 ▶ 2:11 Matthew Turk

Insight

Matthew Turk: Remote AR collaboration requires independent viewpoints

“If you're just stuck with my viewpoint, seeing through my eyes, that's not really the same as if you were standing here with me and we were looking at something together. So the ability to have a independent viewpoint and the ability to independently explore t…”

Matthew Turk Jul 28, 2017 ▶ 7:31 Matthew Turk

Opinion

Matthew Turk: AR telecollaboration outperforms Skype for physical tasks

“So the two of these two people can collaborate quite successfully on this physical task in a way that's hard to do, again, with just telephone or Skype or something like that.”

Matthew Turk Jul 28, 2017 ▶ 12:57 Matthew Turk

Assertion Not checkable as stated

Matthew Turk: AR achieves X-ray vision, invisibility, and teleportation

“So all of those things are done these days. X-ray vision, seeing the invisible, changing size, teleportation, done in the area of augmented reality.”

Matthew Turk Jul 28, 2017 ▶ 1:48 Matthew Turk

Opinion

Matthew Turk: The spray paint model for AR annotations is trash

“But this is what the spray paint model gives us. It's complete trash.”

Matthew Turk Jul 28, 2017 ▶ 21:29 Matthew Turk

Assertion Not checkable as stated

Matthew Turk: Augmented reality can give users virtual superpowers

“So what I ended up doing eventually is creating technologies, ah, for superpowers. So, you know, maybe I don't have super strength, but, you know, I can give people superpowers through certain technologies.”

Matthew Turk Jul 28, 2017 ▶ 1:10 Matthew Turk

Opinion

Matthew Turk: Dentistry is a strong practical application for AR

“And so I think I can add to my list dentistry as being, you know, a really good application of AR.”

Matthew Turk Jul 28, 2017 ▶ 5:51 Matthew Turk

Assertion Not checkable as stated

Matthew Turk: Real-time mobile 3D models are inherently noisy

“Now, it's not going to be some, you know, beautiful, pristine, nice three-D model. It's kind of messy, it's kind of noisy and we have to deal with what we're given there.”

Matthew Turk Jul 28, 2017 ▶ 14:36 Matthew Turk

Insight

Matthew Turk: AR annotations require inferring intent from 2D gestures

“So we have to figure out a way to make two D annotations on a screen be rendered correctly from different perspectives? Because we have two different people, you know, looking at things from different perspectives. So, what did the user intend is the real ques…”

Matthew Turk Jul 28, 2017 ▶ 20:20 Matthew Turk

Appearances (1)

Episode	Date	Speaking time
Matthew Turk	Jul 28, 2017	21m

Matthew Turk

The record, in short

How they sound: speaking style how? →

Appearances (1)

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