IRC log of smartagents-1 on 2026-02-27

Timestamps are in UTC.

18:55:10 [RRSAgent]
RRSAgent has joined #smartagents-1
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logging to https://www.w3.org/2026/02/27-smartagents-1-irc
18:55:47 [kaz]
meeting: Breakout - Do we need real-time processing capabilities on voiceagents?
18:56:22 [kaz]
ck: (shows a research paper)
18:56:46 [kaz]
... (about s
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s/ s/ speech recognizer)
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@@@
18:57:20 [kaz]
ck: there are 3 operations
18:58:11 [kaz]
... example of hypothesis revision
18:58:29 [kaz]
s/@@@/aclanthology.org/E09-1081.pdf
18:59:20 [kaz]
present+ KazAshimura, plh, Casey_Kennington, EmmettCoin, RajTumuluri, GerardChollet, PatriciaLee, RlrikeStiefelhagen, YashGhelani
19:00:41 [kaz]
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19:00:51 [kaz]
rt: (lefts)
19:01:17 [kaz]
ec: backtrack some sort of semantics?
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... vector of meaning
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ck: recognizer doesn't detect meaning itself
19:02:02 [kaz]
... there is no need for revoking or updating
19:02:12 [kaz]
... the next step is understanding
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... some map for specific task
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... models for tasks
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... then semantics model
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... hypothesis applied
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... the problem with recurrent networks
19:04:17 [kaz]
... with larger context
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... the other problem is taking a lot of time for training
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... memory errors, etc.
19:06:04 [kaz]
ec: in some way biased
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ck: bias is there
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... but understanding is no
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s/no/not
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... generalization is a bias
19:07:19 [kaz]
... none of the language models here is incremental
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... output is incremental
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... and input can be
19:08:20 [kaz]
... kind of R&D stage now
19:08:36 [kaz]
ec: an agent listening to me
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ck: fairly well research question
19:09:42 [kaz]
ec: we did studies about similar situation (about car environment)
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s/question/question. Frankie was talking about car environment./
19:10:22 [kaz]
ck: people are chatting with AI agents
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... worth speaking with humans
19:10:53 [kaz]
ec: have zero recollection about what was done while driving
19:11:16 [kaz]
ck: drivers paying attention for driving
19:11:26 [kaz]
... that's kind of another direction
19:11:39 [kaz]
... the model should interrupt you depending on the situation
19:11:50 [kaz]
... the work by Koji Inoue
19:11:57 [kaz]
... doing turn-taking
19:12:24 [kaz]
... 4 duplex microphones
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... feedback model has signal
19:12:59 [kaz]
... good starting point for interruption model
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ec: who is speaking is a key
19:13:53 [kaz]
ck: we have two speaker dialization
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... (describes a model)
19:15:12 [kaz]
ec: Amazon, etc., handles different speakers at home, for example
19:15:29 [kaz]
ck: dialization is a question at the moment
19:15:40 [kaz]
ec: talking to Agents is interesting
19:15:57 [kaz]
... learning conversation style might be a bit different
19:16:14 [kaz]
ck: think that's a feature of bug
19:16:23 [kaz]
... it's not having state information
19:16:54 [kaz]
... maybe language model should handle this
19:17:45 [kaz]
... (problem with in-car system)
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... what's on my calendar today?
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... need a safe place to listen the response
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... want some sort of introductory
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... hard thing is difficulty with lane change, etc.
19:19:17 [kaz]
ec: agree that's important
19:20:13 [kaz]
kaz: which part to be standardized within W3C?
19:20:23 [kaz]
ck: not at the moment
19:20:27 [kaz]
... but streaming?
19:20:37 [kaz]
... for agentic architecture
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... streaming language model
19:22:00 [kaz]
kaz: there are many related standards already
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... as possible pieces
19:22:19 [kaz]
... should dive into actual use cases and see what is still missing
19:22:31 [kaz]
ck: robot should be a promising use case
19:22:47 [kaz]
... human's expectation is much high
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... maybe LLM can do something
19:23:13 [kaz]
... interactive quality of understanding feedback
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... I utter something, then robot responds
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... but that's flustrating
19:24:27 [kaz]
... if robots could not just hook up APIs but could work for natural communication, would be great
19:24:49 [kaz]
kaz: tx
19:25:36 [kaz]
ec: @@@
19:26:01 [kaz]
ck: people treat robot as having some emotion/human quality
19:26:59 [kaz]
... using a robot like Wally
19:28:43 [kaz]
... should use appropriate vocabulary for users' age
19:28:58 [kaz]
ec: what is your future?
19:29:06 [kaz]
ck: very different topic
19:29:13 [kaz]
... emotion
19:29:25 [kaz]
ec: read Minsky's book?
19:29:36 [kaz]
ck: not that but interesting research papers
19:29:57 [kaz]
... some funding for emotion for robots
19:31:06 [kaz]
ec: note actors act emotional
19:31:31 [kaz]
ck: there are a lot of culture-specific emotions
19:32:14 [kaz]
ec: think "disgust" is one of the universal emotion
19:32:19 [kaz]
s/emotion/emotions/
19:34:25 [kaz]
kaz: (mentions generic format to handle emotion information, EmotionML)
19:34:26 [kaz]
https://www.w3.org/TR/emotionml/
19:34:35 [kaz]
rrsagent, make log public
19:34:51 [kaz]
ec: @@@
19:35:02 [kaz]
ck: there are researchers on that
19:35:12 [kaz]
... check ACL
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... Microsoft research, etc.
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... multi user attention engagement
19:35:28 [kaz]
rrsagent, draft minutes
19:35:29 [RRSAgent]
I have made the request to generate https://www.w3.org/2026/02/27-smartagents-1-minutes.html kaz
19:36:06 [kaz]
[breakout 1 ends]
19:39:45 [kaz]
s/flust/frust/