To do: recode all looking/eye-tracking

[lottiegasp]

in spec.yaml and datasets, change all response_mode=eye-tracking to gaze_manual or gaze_automatic

[christinabergmann]

Hi, this is an issue in the video-based gaze following dataset contributed by @priyasilverstein. To not lose the encoded info, we decided to already implement this distinction, is it able to pass validation?

[lottiegasp]

@christinabergmann perhaps could we add a column called _responsemode2 which is a copy of _responsemode, and in this column have the levels _gazemanual and _gazeautomatic. And in the original _responsemode column just have eye-tracking so that it passes the validation.

See columns J and K in the langdiscrim dataset

Eventually I will go through all the datasets and do the same, then when they are all complete I will delete the column _responsemode, rename _responsemode2 to _responsemode, and change spec.yaml so the validator accepts _gazemanual and _gazeautomatic but not eye-tracking

Does that sound okay?

[lottiegasp]

Datasets to switch from response_mode = eye-tracking to manual or gaze_manual and gaze_automatic"

• [x] Abstract rule learning
• [x] Categorization bias
• [x] Cross-sit word learning
• [x] Familiar word rec
• [ ] Function word seg
• [x] Gaze following (live)
• [x] Gaze following (video)
• [x] IDS pref
• [x] Label advantage concept learn
• [x] Lang discrim and pref
• [x] Mispronunci sensi
• [x] Mutual exclus
• [ ] Natural speech pref
• [ ] Online word rec
• [ ] Phonotac learn
• [x] Point and vocab current
• [x] Point and vocab longi
• [x] Prosocial agents
• [x] Simple arithm competen
• [ ] Sound symbolism
• [ ] Statistical sound cat learn
• [x] Statistical word seg
• [x] Switch task
• [x] Symbolic play
• [x] Syntactic boot
• [x] Video deficit
• [ ] Vowel discrim (nat)
• [ ] Vowel discrim (non-nat)
• [ ] Word seg (behav)
• [x] Word seg (neuro)

[lottiegasp]

PS Does it seem reasonable for me to contact all curators and ask them to make these changes to gaze_auto and gaze_manual as far as they have capacity and then I will finish off the rest for them? From my knowledge of my own dataset, I can imagine many might already know off the top of their heads in many cases so it would save a lot of time

[shotsuji]

Hi Lottie,

Yes, I think you can try - if some curators are willing, this would indeed significantly reduce your workload.

Best, Sho

Am Do., 21. Jan. 2021 um 06:06 Uhr schrieb Loretta (Lottie) Gasparini < notifications@github.com>:

PS Does it seem reasonable for me to contact all curators and ask them to make these changes to gaze_auto and gaze_manual as far as they have capacity and then I will finish off the rest for them? From my knowledge of my own dataset, I can imagine many might already know off the top of their heads in many cases so it would save a lot of time

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[priyasilverstein]

Thanks for this Lottie!

On 21 Jan 2021, at 05:52, Sho Tsuji notifications@github.com wrote:

 Hi Lottie,

Yes, I think you can try - if some curators are willing, this would indeed significantly reduce your workload.

Best, Sho

Am Do., 21. Jan. 2021 um 06:06 Uhr schrieb Loretta (Lottie) Gasparini < notifications@github.com>:

PS Does it seem reasonable for me to contact all curators and ask them to make these changes to gaze_auto and gaze_manual as far as they have capacity and then I will finish off the rest for them? From my knowledge of my own dataset, I can imagine many might already know off the top of their heads in many cases so it would save a lot of time

— You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub https://github.com/langcog/metalab/issues/22#issuecomment-764337438, or unsubscribe https://github.com/notifications/unsubscribe-auth/AD4RHGYRNHXVKZCUYJKRZFDS26Y5XANCNFSM4TRLZ25A .

-- Assistant Professor The University of Tokyo International Research Center for Neurointelligence (IRCN) Personal website: https://sites.google.com/site/tsujish/home Lab website: https://babylab.ircn.jp/ Blog: https://cogtales.wordpress.com/ — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or unsubscribe.