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Developmental Machine Learning: From Human Learning to Machines and Back (Dagstuhl Seminar 22422)

Authors: James M. Rehg, Pierre-Yves Oudeyer, Linda B. Smith, Sho Tsuji, Stefan Stojanov, and Ngoc Anh Thai

Published in: Dagstuhl Reports, Volume 12, Issue 10 (2023)

Abstract

This interdisciplinary seminar brought together 18 academic and industry computer science researchers in artificial intelligence, computer vision and machine learning with 19 researchers from developmental psychology, neuroscience and linguistics. The objective was to catalyze connections between these communities, through discussions on both how the use of developmental insights can spur advances in machine learning, and how computational models and data-driven learning can lead to novel tools and insights for studying child development. The seminar consisted of tutorials, working groups, and a series of talks and discussion sessions. The main outcomes of this seminar were 1) The founding of DevelopmentalAI (http://www.developmentalai.com), an online research community to serve as a venue for communication and collaboration between develpomental and machine learning researchers, as well as a place collect and organize relevant research papers and talks; 2) Working group outputs - summaries of in-depth discussions on research questions at the intersection of developmental and machine learning, including the role of information bottlenecks and multimodality, as well as proposals for novel developmentally motivated benchmarks.

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James M. Rehg, Pierre-Yves Oudeyer, Linda B. Smith, Sho Tsuji, Stefan Stojanov, and Ngoc Anh Thai. Developmental Machine Learning: From Human Learning to Machines and Back (Dagstuhl Seminar 22422). In Dagstuhl Reports, Volume 12, Issue 10, pp. 143-165, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@Article{rehg_et_al:DagRep.12.10.143,
  author =	{Rehg, James M. and Oudeyer, Pierre-Yves and Smith, Linda B. and Tsuji, Sho and Stojanov, Stefan and Thai, Ngoc Anh},
  title =	{{Developmental Machine Learning: From Human Learning to Machines and Back (Dagstuhl Seminar 22422)}},
  pages =	{143--165},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2023},
  volume =	{12},
  number =	{10},
  editor =	{Rehg, James M. and Oudeyer, Pierre-Yves and Smith, Linda B. and Tsuji, Sho and Stojanov, Stefan and Thai, Ngoc Anh},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.12.10.143},
  URN =		{urn:nbn:de:0030-drops-178247},
  doi =		{10.4230/DagRep.12.10.143},
  annote =	{Keywords: developmental psychology, human learning, machine learning, computer vision, language learning}
}

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DOI: 10.4230/DagRep.6.1.160

Eyewear Computing – Augmenting the Human with Head-mounted Wearable Assistants (Dagstuhl Seminar 16042)

Authors: Andreas Bulling, Ozan Cakmakci, Kai Kunze, and James M. Rehg

Published in: Dagstuhl Reports, Volume 6, Issue 1 (2016)

Abstract

The seminar was composed of workshops and tutorials on head-mounted eye tracking, egocentric vision, optics, and head-mounted displays. The seminar welcomed 30 academic and industry researchers from Europe, the US, and Asia with a diverse background, including wearable and ubiquitous computing, computer vision, developmental psychology, optics, and human-computer interaction. In contrast to several previous Dagstuhl seminars, we used an ignite talk format to reduce the time of talks to one half-day and to leave the rest of the week for hands-on sessions, group work, general discussions, and socialising. The key results of this seminar are 1) the identification of key research challenges and summaries of breakout groups on multimodal eyewear computing, egocentric vision, security and privacy issues, skill augmentation and task guidance, eyewear computing for gaming, as well as prototyping of VR applications, 2) a list of datasets and research tools for eyewear computing, 3) three small-scale datasets recorded during the seminar, 4) an article in ACM Interactions entitled "Eyewear Computers for Human-Computer Interaction", as well as 5) two follow-up workshops on "Egocentric Perception, Interaction, and Computing" at the European Conference on Computer Vision (ECCV) as well as "Eyewear Computing" at the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp).

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Andreas Bulling, Ozan Cakmakci, Kai Kunze, and James M. Rehg. Eyewear Computing – Augmenting the Human with Head-mounted Wearable Assistants (Dagstuhl Seminar 16042). In Dagstuhl Reports, Volume 6, Issue 1, pp. 160-206, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@Article{bulling_et_al:DagRep.6.1.160,
  author =	{Bulling, Andreas and Cakmakci, Ozan and Kunze, Kai and Rehg, James M.},
  title =	{{Eyewear Computing – Augmenting the Human with Head-mounted Wearable Assistants (Dagstuhl Seminar 16042)}},
  pages =	{160--206},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2016},
  volume =	{6},
  number =	{1},
  editor =	{Bulling, Andreas and Cakmakci, Ozan and Kunze, Kai and Rehg, James M.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.1.160},
  URN =		{urn:nbn:de:0030-drops-58204},
  doi =		{10.4230/DagRep.6.1.160},
  annote =	{Keywords: Augmented Human, Cognition-Aware Computing, Wearable Computing, Egocentric Vision, Head-Mounted Eye Tracking, Optics, Displays, Human-Computer Interac}
}

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Documents authored by Rehg, James M.

Developmental Machine Learning: From Human Learning to Machines and Back (Dagstuhl Seminar 22422)

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Eyewear Computing – Augmenting the Human with Head-mounted Wearable Assistants (Dagstuhl Seminar 16042)

Abstract

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