Camilla Longden

Senior Applied Scientist

出版物

表示方法:

- Engaging Communities Meaningfully in Defining Disability Representation for AI Image Generation
  
  Anja Thieme, Rita Faia Marques, Martin Grayson, Sidhika Balachandar, Cameron Tyler Cassidy, Madiha Zahrah Choksi, Camilla Longden, Reeda Shimaz Huda, Nicholas Ileve Kalovwe, Christina Mallon, Courtney Mansperger, Daniela Massiceti, Bhaskar Mitra, Ruth Mueni Nzioka, Ioana Tanase, Yuzhe You, Cecily Morrison
  
  April 2026
  
  Publication
- Explaining CLIP’s performance disparities on data from blind/low vision users
  
  Daniela Massiceti, Camilla Longden, Agnieszka Slowik, Samuel Wills, Martin Grayson, Cecily Morrison
  
  2024 Computer Vision and Pattern Recognition | June 2024
  
  Publication 動画動画プロジェクト
- Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision
  
  Linda Yilin Wen, Cecily Morrison, Martin Grayson, Rita Faia Marques, Daniela Massiceti, Camilla Longden, Edward Cutrell
  
  Extended Abstracts of the CHI Conference on Human Factors in Computing Systems | May 2024, pp. 403:1-403:6
  
  PDF DOI 動画プロジェクト
- Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision
  
  Cecily Morrison, Rita Faia Marques, Martin Grayson, Daniela Massiceti, Camilla Longden, Linda Yilin Wen, Ed Cutrell
  
  ASSETS 2023 | October 2023
  
  PDF DOI Author's Version プロジェクト
- Enabling meaningful use of AI-infused educational technologies for children with blindness: learnings from the development and piloting of the PeopleLens curriculum
  
  Cecily Morrison, Ed Cutrell, Martin Grayson, Elisabeth RB Becker, Vasiliki Kladouchou, Linda Pring, Katherine Jones, Rita Faia Marques, Camilla Longden, Abigail Sellen
  
  ASSETS 2021 | October 2021
  
  Best Paper Nominee
  
  Publication プロジェクト
- Social Sensemaking with AI: Designing an Open-ended AI experience with a Blind Child
  
  Cecily Morrison, Ed Cutrell, Martin Grayson, Anja Thieme, Alex S Taylor, Geert Roumen, Camilla Longden, Rita Faia Marques, Abigail Sellen, Sebastian Tschiatschek
  
  The CHI Conference on Human Factors in Computing Systems | April 2021
  
  Publication プロジェクトプロジェクト

- Engaging Communities Meaningfully in Defining Disability Representation for AI Image Generation
  
  Anja Thieme, Rita Faia Marques, Martin Grayson, Sidhika Balachandar, Cameron Tyler Cassidy, Madiha Zahrah Choksi, Camilla Longden, Reeda Shimaz Huda, Nicholas Ileve Kalovwe, Christina Mallon, Courtney Mansperger, Daniela Massiceti, Bhaskar Mitra, Ruth Mueni Nzioka, Ioana Tanase, Yuzhe You, Cecily Morrison
  
  April 2026
  
  Publication
- Explaining CLIP’s performance disparities on data from blind/low vision users
  
  Daniela Massiceti, Camilla Longden, Agnieszka Slowik, Samuel Wills, Martin Grayson, Cecily Morrison
  
  2024 Computer Vision and Pattern Recognition | June 2024
  
  Publication 動画動画プロジェクト
- Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision
  
  Linda Yilin Wen, Cecily Morrison, Martin Grayson, Rita Faia Marques, Daniela Massiceti, Camilla Longden, Edward Cutrell
  
  Extended Abstracts of the CHI Conference on Human Factors in Computing Systems | May 2024, pp. 403:1-403:6
  
  PDF DOI 動画プロジェクト
- Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision
  
  Cecily Morrison, Rita Faia Marques, Martin Grayson, Daniela Massiceti, Camilla Longden, Linda Yilin Wen, Ed Cutrell
  
  ASSETS 2023 | October 2023
  
  PDF DOI Author's Version プロジェクト
- Social Sensemaking with AI: Designing an Open-ended AI experience with a Blind Child
  
  Cecily Morrison, Ed Cutrell, Martin Grayson, Anja Thieme, Alex S Taylor, Geert Roumen, Camilla Longden, Rita Faia Marques, Abigail Sellen, Sebastian Tschiatschek
  
  The CHI Conference on Human Factors in Computing Systems | April 2021
  
  Publication プロジェクトプロジェクト
- Engaging Communities Meaningfully in Defining Disability Representation for AI Image Generation
  
  Anja Thieme, Rita Faia Marques, Martin Grayson, Sidhika Balachandar, Cameron Tyler Cassidy, Madiha Zahrah Choksi, Camilla Longden, Reeda Shimaz Huda, Nicholas Ileve Kalovwe, Christina Mallon, Courtney Mansperger, Daniela Massiceti, Bhaskar Mitra, Ruth Mueni Nzioka, Ioana Tanase, Yuzhe You, Cecily Morrison
  
  April 2026
  
  Publication
- Explaining CLIP’s performance disparities on data from blind/low vision users
  
  Daniela Massiceti, Camilla Longden, Agnieszka Slowik, Samuel Wills, Martin Grayson, Cecily Morrison
  
  2024 Computer Vision and Pattern Recognition | June 2024
  
  Publication 動画動画プロジェクト
- Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision
  
  Linda Yilin Wen, Cecily Morrison, Martin Grayson, Rita Faia Marques, Daniela Massiceti, Camilla Longden, Edward Cutrell
  
  Extended Abstracts of the CHI Conference on Human Factors in Computing Systems | May 2024, pp. 403:1-403:6
  
  PDF DOI 動画プロジェクト
- Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision
  
  Cecily Morrison, Rita Faia Marques, Martin Grayson, Daniela Massiceti, Camilla Longden, Linda Yilin Wen, Ed Cutrell
  
  ASSETS 2023 | October 2023
  
  PDF DOI Author's Version プロジェクト
- Enabling meaningful use of AI-infused educational technologies for children with blindness: learnings from the development and piloting of the PeopleLens curriculum
  
  Cecily Morrison, Ed Cutrell, Martin Grayson, Elisabeth RB Becker, Vasiliki Kladouchou, Linda Pring, Katherine Jones, Rita Faia Marques, Camilla Longden, Abigail Sellen
  
  ASSETS 2021 | October 2021
  
  Best Paper Nominee
  
  Publication プロジェクト
- Social Sensemaking with AI: Designing an Open-ended AI experience with a Blind Child
  
  Cecily Morrison, Ed Cutrell, Martin Grayson, Anja Thieme, Alex S Taylor, Geert Roumen, Camilla Longden, Rita Faia Marques, Abigail Sellen, Sebastian Tschiatschek
  
  The CHI Conference on Human Factors in Computing Systems | April 2021
  
  Publication プロジェクトプロジェクト
- Explaining CLIP’s performance disparities on data from blind/low vision users
  
  Daniela Massiceti, Camilla Longden, Agnieszka Slowik, Samuel Wills, Martin Grayson, Cecily Morrison
  
  2024 Computer Vision and Pattern Recognition | June 2024
  
  Publication 動画動画プロジェクト
- Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision
  
  Linda Yilin Wen, Cecily Morrison, Martin Grayson, Rita Faia Marques, Daniela Massiceti, Camilla Longden, Edward Cutrell
  
  Extended Abstracts of the CHI Conference on Human Factors in Computing Systems | May 2024, pp. 403:1-403:6
  
  PDF DOI 動画プロジェクト
- Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision
  
  Cecily Morrison, Rita Faia Marques, Martin Grayson, Daniela Massiceti, Camilla Longden, Linda Yilin Wen, Ed Cutrell
  
  ASSETS 2023 | October 2023
  
  PDF DOI Author's Version プロジェクト
- Enabling meaningful use of AI-infused educational technologies for children with blindness: learnings from the development and piloting of the PeopleLens curriculum
  
  Cecily Morrison, Ed Cutrell, Martin Grayson, Elisabeth RB Becker, Vasiliki Kladouchou, Linda Pring, Katherine Jones, Rita Faia Marques, Camilla Longden, Abigail Sellen
  
  ASSETS 2021 | October 2021
  
  Best Paper Nominee
  
  Publication プロジェクト
- Social Sensemaking with AI: Designing an Open-ended AI experience with a Blind Child
  
  Cecily Morrison, Ed Cutrell, Martin Grayson, Anja Thieme, Alex S Taylor, Geert Roumen, Camilla Longden, Rita Faia Marques, Abigail Sellen, Sebastian Tschiatschek
  
  The CHI Conference on Human Factors in Computing Systems | April 2021
  
  Publication プロジェクトプロジェクト

- Engaging Communities Meaningfully in Defining Disability Representation for AI Image Generation
  
  Anja Thieme, Rita Faia Marques, Martin Grayson, Sidhika Balachandar, Cameron Tyler Cassidy, Madiha Zahrah Choksi, Camilla Longden, Reeda Shimaz Huda, Nicholas Ileve Kalovwe, Christina Mallon, Courtney Mansperger, Daniela Massiceti, Bhaskar Mitra, Ruth Mueni Nzioka, Ioana Tanase, Yuzhe You, Cecily Morrison
  
  April 2026
  
  Publication
- Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision
  
  Linda Yilin Wen, Cecily Morrison, Martin Grayson, Rita Faia Marques, Daniela Massiceti, Camilla Longden, Edward Cutrell
  
  Extended Abstracts of the CHI Conference on Human Factors in Computing Systems | May 2024, pp. 403:1-403:6
  
  PDF DOI 動画プロジェクト
- Explaining CLIP’s performance disparities on data from blind/low vision users
  
  Daniela Massiceti, Camilla Longden, Agnieszka Slowik, Samuel Wills, Martin Grayson, Cecily Morrison
  
  2024 Computer Vision and Pattern Recognition | June 2024
  
  Publication 動画動画プロジェクト
- Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision
  
  Cecily Morrison, Rita Faia Marques, Martin Grayson, Daniela Massiceti, Camilla Longden, Linda Yilin Wen, Ed Cutrell
  
  ASSETS 2023 | October 2023
  
  PDF DOI Author's Version プロジェクト
- Enabling meaningful use of AI-infused educational technologies for children with blindness: learnings from the development and piloting of the PeopleLens curriculum
  
  Cecily Morrison, Ed Cutrell, Martin Grayson, Elisabeth RB Becker, Vasiliki Kladouchou, Linda Pring, Katherine Jones, Rita Faia Marques, Camilla Longden, Abigail Sellen
  
  ASSETS 2021 | October 2021
  
  Best Paper Nominee
  
  Publication プロジェクト
- Social Sensemaking with AI: Designing an Open-ended AI experience with a Blind Child
  
  Cecily Morrison, Ed Cutrell, Martin Grayson, Anja Thieme, Alex S Taylor, Geert Roumen, Camilla Longden, Rita Faia Marques, Abigail Sellen, Sebastian Tschiatschek
  
  The CHI Conference on Human Factors in Computing Systems | April 2021
  
  Publication プロジェクトプロジェクト

Camilla Longden

出版物

Engaging Communities Meaningfully in Defining Disability Representation for AI Image Generation

Explaining CLIP’s performance disparities on data from blind/low vision users

Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision

Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision

Enabling meaningful use of AI-infused educational technologies for children with blindness: learnings from the development and piloting of the PeopleLens curriculum

Social Sensemaking with AI: Designing an Open-ended AI experience with a Blind Child

Engaging Communities Meaningfully in Defining Disability Representation for AI Image Generation

Explaining CLIP’s performance disparities on data from blind/low vision users

Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision

Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision

Social Sensemaking with AI: Designing an Open-ended AI experience with a Blind Child

Engaging Communities Meaningfully in Defining Disability Representation for AI Image Generation

Explaining CLIP’s performance disparities on data from blind/low vision users

Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision

Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision

Enabling meaningful use of AI-infused educational technologies for children with blindness: learnings from the development and piloting of the PeopleLens curriculum

Social Sensemaking with AI: Designing an Open-ended AI experience with a Blind Child

Explaining CLIP’s performance disparities on data from blind/low vision users

Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision

Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision

Enabling meaningful use of AI-infused educational technologies for children with blindness: learnings from the development and piloting of the PeopleLens curriculum

Social Sensemaking with AI: Designing an Open-ended AI experience with a Blind Child

Engaging Communities Meaningfully in Defining Disability Representation for AI Image Generation

Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision

Explaining CLIP’s performance disparities on data from blind/low vision users

Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision

Enabling meaningful use of AI-infused educational technologies for children with blindness: learnings from the development and piloting of the PeopleLens curriculum

Social Sensemaking with AI: Designing an Open-ended AI experience with a Blind Child

お問い合わせ Camilla Longden

Microsoft Research Lab – Cambridge