Bridging Social Sciences and AI for Understanding Child Behaviour
ICMI ’20, October 25–29, 2020, Virtual Event, Netherlands
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
ACM|Proceedings of the 2020 International Conference on Multimodal Interaction
2025
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| Online Access: | https://hdl.handle.net/1721.1/158235 |
| _version_ | 1824458234690273280 |
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| author | Kaya, Heysem Hessels, Roy Najafian, Maryam Hanekamp, Sandra Safavi, Saeid |
| author_facet | Kaya, Heysem Hessels, Roy Najafian, Maryam Hanekamp, Sandra Safavi, Saeid |
| author_sort | Kaya, Heysem |
| collection | MIT |
| description | ICMI ’20, October 25–29, 2020, Virtual Event, Netherlands |
| first_indexed | 2025-02-19T04:22:39Z |
| format | Article |
| id | mit-1721.1/158235 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2025-02-19T04:22:39Z |
| publishDate | 2025 |
| publisher | ACM|Proceedings of the 2020 International Conference on Multimodal Interaction |
| record_format | dspace |
| spelling | mit-1721.1/1582352025-02-18T18:29:52Z Bridging Social Sciences and AI for Understanding Child Behaviour Kaya, Heysem Hessels, Roy Najafian, Maryam Hanekamp, Sandra Safavi, Saeid ICMI ’20, October 25–29, 2020, Virtual Event, Netherlands Child behaviour is a topic of wide scientific interest among many different disciplines, including social and behavioural sciences and artificial intelligence (AI). In this workshop, we aimed to connect researchers from these fields to address topics such as the usage of AI to better understand and model child behavioural and developmental processes, challenges and opportunities for AI in large-scale child behaviour analysis and implementing explainable ML/AI on sensitive child data. The workshop served as a successful first step towards this goal and attracted contributions from different research disciplines on the analysis of child behaviour. This paper provides a summary of the activities of the workshop and the accepted papers and abstracts. 2025-02-18T18:29:51Z 2025-02-18T18:29:51Z 2020-10-21 2025-02-01T08:47:16Z Article http://purl.org/eprint/type/ConferencePaper 978-1-4503-7581-8 https://hdl.handle.net/1721.1/158235 Kaya, Heysem, Hessels, Roy, Najafian, Maryam, Hanekamp, Sandra and Safavi, Saeid. 2020. "Bridging Social Sciences and AI for Understanding Child Behaviour." PUBLISHER_POLICY en https://doi.org/10.1145/3382507.3419745 Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The author(s) application/pdf ACM|Proceedings of the 2020 International Conference on Multimodal Interaction Association for Computing Machinery |
| spellingShingle | Kaya, Heysem Hessels, Roy Najafian, Maryam Hanekamp, Sandra Safavi, Saeid Bridging Social Sciences and AI for Understanding Child Behaviour |
| title | Bridging Social Sciences and AI for Understanding Child Behaviour |
| title_full | Bridging Social Sciences and AI for Understanding Child Behaviour |
| title_fullStr | Bridging Social Sciences and AI for Understanding Child Behaviour |
| title_full_unstemmed | Bridging Social Sciences and AI for Understanding Child Behaviour |
| title_short | Bridging Social Sciences and AI for Understanding Child Behaviour |
| title_sort | bridging social sciences and ai for understanding child behaviour |
| url | https://hdl.handle.net/1721.1/158235 |
| work_keys_str_mv | AT kayaheysem bridgingsocialsciencesandaiforunderstandingchildbehaviour AT hesselsroy bridgingsocialsciencesandaiforunderstandingchildbehaviour AT najafianmaryam bridgingsocialsciencesandaiforunderstandingchildbehaviour AT hanekampsandra bridgingsocialsciencesandaiforunderstandingchildbehaviour AT safavisaeid bridgingsocialsciencesandaiforunderstandingchildbehaviour |