Teachable AI Experiences (Tai X)

Publications

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- The ORBIT India Dataset: Understanding the Challenges of Collecting a Disability-First AI Dataset in Low-Resource Environments
  
  Gesu India, Martin Grayson, Cecily Morrison, Daniela Massiceti, Simon Robinson, Jennifer Pearson, Matt Jones
  
  CHI Conference on Human Factors in Computing Systems | April 2026
  
  Publication
- Collective Agency in Art-making: Towards Community-centric Design of Text-to-Image (T2I) AI Tools
  
  Abdullah Hasan Safir, Noshin Tahsin, Pratyasha Saha, Dipannita Nandi, Zulkarin Jahangir, Cecily Morrison, Syed Ishtiaque Ahmed, Nusrat Jahan Mim
  
  2025 Conference on AI, Ethics and Society | August 2025
  
  Publication
- Position: To Make Text-to-Image Models that Work for Marginalized Communities, We Need New Measurement Practices for the Long Tail
  
  Nari Johnson, Hamna ., Deepthi Sudharsan, Theo Holroyd, Samantha Dalal, Siobhan Mackenzie Hall, Jennifer Wortman Vaughan, Daniela Massiceti, Cecily Morrison
  
  July 2025
  
  Preprint
- “Put Your Hands Up”: How Joint Attention Is Initiated Between Blind Children And Their Sighted Peers
  
  Katherine Jones, Cecily Morrison, Martin Grayson, Ute Leonards, Oussama Metatla
  
  CHI Conference on Human Machine Interaction | April 2025
  
  Publication
- Exploring the Experiences of Individuals Who are Blind or Low-Vision Using Object-Recognition Technologies in India
  
  Cecily Morrison
  
  CHI 2025 | April 2025
  
  Publication
- Weaving Sound Information to Support Deaf and Hard of Hearing People’s Real-time Sensemaking of Auditory Environments: Co-designing with a DHH User
  
  Jeremy Zhengqi Huang, Jaylin Herskovitz , Liang-Yuan Wu, Cecily Morrison, Dhruv Jain
  
  2025 CHI Conference on Human Computer Interaction | February 2025
  
  Author's Version
- 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 Video Video
- 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 Video
- Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
  
  S. Basu, Daniela Massiceti, S. Hu, S. Feizi
  
  AAAI Conference on Artificial Intelligence | February 2024
  
  Publication
- 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
- Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
  
  Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti
  
  2023 International Conference on Learning Representations | May 2023
  
  Publication
- NP-Match: When Neural Processes meet Semi-Supervised Learning
  
  Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Daniela Massiceti, Vladimir Pavlovic, Alexandros Neophytou
  
  ICML 2022 | July 2022
  
  Publication Project
- Memory Efficient Meta-Learning with Large Images
  
  John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Richard Turner
  
  NeurIPS 2021 | December 2021
  
  Publication Github
- Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors
  
  Lida Theodorou, Daniela Massiceti, Luisa Zintgraf, Simone Stumpf, Cecily Morrison, Ed Cutrell, Matthew Tobias Harris, Katja Hofmann
  
  International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) | October 2021
  
  Publication Project
- ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
  
  Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Ed Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
  
  ICCV 2021 | October 2021
  
  Publication Github Project
- 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
- 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 Project
- “I can do everything but see!” — How People with Vision Impairments Negotiate their Abilities in Social Contexts
  
  Anja Thieme, Cynthia L. Bennett, Cecily Morrison, Ed Cutrell, Alex S. Taylor
  
  2018 Human Factors in Computing Systems | April 2018
  
  DOI PDF Project

- The ORBIT India Dataset: Understanding the Challenges of Collecting a Disability-First AI Dataset in Low-Resource Environments
  
  Gesu India, Martin Grayson, Cecily Morrison, Daniela Massiceti, Simon Robinson, Jennifer Pearson, Matt Jones
  
  CHI Conference on Human Factors in Computing Systems | April 2026
  
  Publication
- Collective Agency in Art-making: Towards Community-centric Design of Text-to-Image (T2I) AI Tools
  
  Abdullah Hasan Safir, Noshin Tahsin, Pratyasha Saha, Dipannita Nandi, Zulkarin Jahangir, Cecily Morrison, Syed Ishtiaque Ahmed, Nusrat Jahan Mim
  
  2025 Conference on AI, Ethics and Society | August 2025
  
  Publication
- Position: To Make Text-to-Image Models that Work for Marginalized Communities, We Need New Measurement Practices for the Long Tail
  
  Nari Johnson, Hamna ., Deepthi Sudharsan, Theo Holroyd, Samantha Dalal, Siobhan Mackenzie Hall, Jennifer Wortman Vaughan, Daniela Massiceti, Cecily Morrison
  
  July 2025
  
  Preprint
- “Put Your Hands Up”: How Joint Attention Is Initiated Between Blind Children And Their Sighted Peers
  
  Katherine Jones, Cecily Morrison, Martin Grayson, Ute Leonards, Oussama Metatla
  
  CHI Conference on Human Machine Interaction | April 2025
  
  Publication
- Weaving Sound Information to Support Deaf and Hard of Hearing People’s Real-time Sensemaking of Auditory Environments: Co-designing with a DHH User
  
  Jeremy Zhengqi Huang, Jaylin Herskovitz , Liang-Yuan Wu, Cecily Morrison, Dhruv Jain
  
  2025 CHI Conference on Human Computer Interaction | February 2025
  
  Author's Version
- 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 Video Video
- 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 Video
- Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
  
  S. Basu, Daniela Massiceti, S. Hu, S. Feizi
  
  AAAI Conference on Artificial Intelligence | February 2024
  
  Publication
- 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
- Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
  
  Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti
  
  2023 International Conference on Learning Representations | May 2023
  
  Publication
- NP-Match: When Neural Processes meet Semi-Supervised Learning
  
  Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Daniela Massiceti, Vladimir Pavlovic, Alexandros Neophytou
  
  ICML 2022 | July 2022
  
  Publication Project
- Memory Efficient Meta-Learning with Large Images
  
  John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Richard Turner
  
  NeurIPS 2021 | December 2021
  
  Publication Github
- ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
  
  Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Ed Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
  
  ICCV 2021 | October 2021
  
  Publication Github Project
- 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 Project
- The ORBIT India Dataset: Understanding the Challenges of Collecting a Disability-First AI Dataset in Low-Resource Environments
  
  Gesu India, Martin Grayson, Cecily Morrison, Daniela Massiceti, Simon Robinson, Jennifer Pearson, Matt Jones
  
  CHI Conference on Human Factors in Computing Systems | April 2026
  
  Publication
- Position: To Make Text-to-Image Models that Work for Marginalized Communities, We Need New Measurement Practices for the Long Tail
  
  Nari Johnson, Hamna ., Deepthi Sudharsan, Theo Holroyd, Samantha Dalal, Siobhan Mackenzie Hall, Jennifer Wortman Vaughan, Daniela Massiceti, Cecily Morrison
  
  July 2025
  
  Preprint
- Exploring the Experiences of Individuals Who are Blind or Low-Vision Using Object-Recognition Technologies in India
  
  Cecily Morrison
  
  CHI 2025 | April 2025
  
  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 Video Video
- 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 Video
- Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
  
  S. Basu, Daniela Massiceti, S. Hu, S. Feizi
  
  AAAI Conference on Artificial Intelligence | February 2024
  
  Publication
- 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
- Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
  
  Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti
  
  2023 International Conference on Learning Representations | May 2023
  
  Publication
- NP-Match: When Neural Processes meet Semi-Supervised Learning
  
  Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Daniela Massiceti, Vladimir Pavlovic, Alexandros Neophytou
  
  ICML 2022 | July 2022
  
  Publication Project
- ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
  
  Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Ed Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
  
  ICCV 2021 | October 2021
  
  Publication Github Project
- 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
- 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 Project
- The ORBIT India Dataset: Understanding the Challenges of Collecting a Disability-First AI Dataset in Low-Resource Environments
  
  Gesu India, Martin Grayson, Cecily Morrison, Daniela Massiceti, Simon Robinson, Jennifer Pearson, Matt Jones
  
  CHI Conference on Human Factors in Computing Systems | April 2026
  
  Publication
- Collective Agency in Art-making: Towards Community-centric Design of Text-to-Image (T2I) AI Tools
  
  Abdullah Hasan Safir, Noshin Tahsin, Pratyasha Saha, Dipannita Nandi, Zulkarin Jahangir, Cecily Morrison, Syed Ishtiaque Ahmed, Nusrat Jahan Mim
  
  2025 Conference on AI, Ethics and Society | August 2025
  
  Publication
- Position: To Make Text-to-Image Models that Work for Marginalized Communities, We Need New Measurement Practices for the Long Tail
  
  Nari Johnson, Hamna ., Deepthi Sudharsan, Theo Holroyd, Samantha Dalal, Siobhan Mackenzie Hall, Jennifer Wortman Vaughan, Daniela Massiceti, Cecily Morrison
  
  July 2025
  
  Preprint
- Exploring the Experiences of Individuals Who are Blind or Low-Vision Using Object-Recognition Technologies in India
  
  Cecily Morrison
  
  CHI 2025 | April 2025
  
  Publication
- “Put Your Hands Up”: How Joint Attention Is Initiated Between Blind Children And Their Sighted Peers
  
  Katherine Jones, Cecily Morrison, Martin Grayson, Ute Leonards, Oussama Metatla
  
  CHI Conference on Human Machine Interaction | April 2025
  
  Publication
- Weaving Sound Information to Support Deaf and Hard of Hearing People’s Real-time Sensemaking of Auditory Environments: Co-designing with a DHH User
  
  Jeremy Zhengqi Huang, Jaylin Herskovitz , Liang-Yuan Wu, Cecily Morrison, Dhruv Jain
  
  2025 CHI Conference on Human Computer Interaction | February 2025
  
  Author's Version
- 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 Video Video
- 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 Video
- 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
- Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors
  
  Lida Theodorou, Daniela Massiceti, Luisa Zintgraf, Simone Stumpf, Cecily Morrison, Ed Cutrell, Matthew Tobias Harris, Katja Hofmann
  
  International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) | October 2021
  
  Publication Project
- ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
  
  Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Ed Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
  
  ICCV 2021 | October 2021
  
  Publication Github Project
- 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
- 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 Project
- “I can do everything but see!” — How People with Vision Impairments Negotiate their Abilities in Social Contexts
  
  Anja Thieme, Cynthia L. Bennett, Cecily Morrison, Ed Cutrell, Alex S. Taylor
  
  2018 Human Factors in Computing Systems | April 2018
  
  DOI PDF Project
- “Put Your Hands Up”: How Joint Attention Is Initiated Between Blind Children And Their Sighted Peers
  
  Katherine Jones, Cecily Morrison, Martin Grayson, Ute Leonards, Oussama Metatla
  
  CHI Conference on Human Machine Interaction | April 2025
  
  Publication

- The ORBIT India Dataset: Understanding the Challenges of Collecting a Disability-First AI Dataset in Low-Resource Environments
  
  Gesu India, Martin Grayson, Cecily Morrison, Daniela Massiceti, Simon Robinson, Jennifer Pearson, Matt Jones
  
  CHI Conference on Human Factors in Computing Systems | April 2026
  
  Publication
- Collective Agency in Art-making: Towards Community-centric Design of Text-to-Image (T2I) AI Tools
  
  Abdullah Hasan Safir, Noshin Tahsin, Pratyasha Saha, Dipannita Nandi, Zulkarin Jahangir, Cecily Morrison, Syed Ishtiaque Ahmed, Nusrat Jahan Mim
  
  2025 Conference on AI, Ethics and Society | August 2025
  
  Publication
- Exploring the Experiences of Individuals Who are Blind or Low-Vision Using Object-Recognition Technologies in India
  
  Cecily Morrison
  
  CHI 2025 | April 2025
  
  Publication
- “Put Your Hands Up”: How Joint Attention Is Initiated Between Blind Children And Their Sighted Peers
  
  Katherine Jones, Cecily Morrison, Martin Grayson, Ute Leonards, Oussama Metatla
  
  CHI Conference on Human Machine Interaction | April 2025
  
  Publication
- Weaving Sound Information to Support Deaf and Hard of Hearing People’s Real-time Sensemaking of Auditory Environments: Co-designing with a DHH User
  
  Jeremy Zhengqi Huang, Jaylin Herskovitz , Liang-Yuan Wu, Cecily Morrison, Dhruv Jain
  
  2025 CHI Conference on Human Computer Interaction | February 2025
  
  Author's Version
- 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 Video Video
- Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
  
  S. Basu, Daniela Massiceti, S. Hu, S. Feizi
  
  AAAI Conference on Artificial Intelligence | February 2024
  
  Publication
- 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
- Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
  
  Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti
  
  2023 International Conference on Learning Representations | May 2023
  
  Publication
- NP-Match: When Neural Processes meet Semi-Supervised Learning
  
  Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Daniela Massiceti, Vladimir Pavlovic, Alexandros Neophytou
  
  ICML 2022 | July 2022
  
  Publication Project
- Memory Efficient Meta-Learning with Large Images
  
  John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Richard Turner
  
  NeurIPS 2021 | December 2021
  
  Publication Github
- Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors
  
  Lida Theodorou, Daniela Massiceti, Luisa Zintgraf, Simone Stumpf, Cecily Morrison, Ed Cutrell, Matthew Tobias Harris, Katja Hofmann
  
  International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) | October 2021
  
  Publication Project
- ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
  
  Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Ed Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
  
  ICCV 2021 | October 2021
  
  Publication Github Project
- 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
- 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 Project
- “I can do everything but see!” — How People with Vision Impairments Negotiate their Abilities in Social Contexts
  
  Anja Thieme, Cynthia L. Bennett, Cecily Morrison, Ed Cutrell, Alex S. Taylor
  
  2018 Human Factors in Computing Systems | April 2018
  
  DOI PDF Project
- Position: To Make Text-to-Image Models that Work for Marginalized Communities, We Need New Measurement Practices for the Long Tail
  
  Nari Johnson, Hamna ., Deepthi Sudharsan, Theo Holroyd, Samantha Dalal, Siobhan Mackenzie Hall, Jennifer Wortman Vaughan, Daniela Massiceti, Cecily Morrison
  
  July 2025
  
  Preprint
- 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 Video

Teachable AI Experiences (Tai X)

Publications

The ORBIT India Dataset: Understanding the Challenges of Collecting a Disability-First AI Dataset in Low-Resource Environments

Collective Agency in Art-making: Towards Community-centric Design of Text-to-Image (T2I) AI Tools

Position: To Make Text-to-Image Models that Work for Marginalized Communities, We Need New Measurement Practices for the Long Tail

“Put Your Hands Up”: How Joint Attention Is Initiated Between Blind Children And Their Sighted Peers

Exploring the Experiences of Individuals Who are Blind or Low-Vision Using Object-Recognition Technologies in India

Weaving Sound Information to Support Deaf and Hard of Hearing People’s Real-time Sensemaking of Auditory Environments: Co-designing with a DHH User

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

Strong Baselines for Parameter Efficient Few-Shot Fine-tuning

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

Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks

NP-Match: When Neural Processes meet Semi-Supervised Learning

Memory Efficient Meta-Learning with Large Images

Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors

ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition

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

“I can do everything but see!” — How People with Vision Impairments Negotiate their Abilities in Social Contexts

The ORBIT India Dataset: Understanding the Challenges of Collecting a Disability-First AI Dataset in Low-Resource Environments

Collective Agency in Art-making: Towards Community-centric Design of Text-to-Image (T2I) AI Tools

Position: To Make Text-to-Image Models that Work for Marginalized Communities, We Need New Measurement Practices for the Long Tail

“Put Your Hands Up”: How Joint Attention Is Initiated Between Blind Children And Their Sighted Peers

Weaving Sound Information to Support Deaf and Hard of Hearing People’s Real-time Sensemaking of Auditory Environments: Co-designing with a DHH User

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

Strong Baselines for Parameter Efficient Few-Shot Fine-tuning

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

Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks

NP-Match: When Neural Processes meet Semi-Supervised Learning

Memory Efficient Meta-Learning with Large Images

ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition

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

The ORBIT India Dataset: Understanding the Challenges of Collecting a Disability-First AI Dataset in Low-Resource Environments

Position: To Make Text-to-Image Models that Work for Marginalized Communities, We Need New Measurement Practices for the Long Tail

Exploring the Experiences of Individuals Who are Blind or Low-Vision Using Object-Recognition Technologies in India

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

Strong Baselines for Parameter Efficient Few-Shot Fine-tuning

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

Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks

NP-Match: When Neural Processes meet Semi-Supervised Learning

ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition

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

The ORBIT India Dataset: Understanding the Challenges of Collecting a Disability-First AI Dataset in Low-Resource Environments

Collective Agency in Art-making: Towards Community-centric Design of Text-to-Image (T2I) AI Tools

Position: To Make Text-to-Image Models that Work for Marginalized Communities, We Need New Measurement Practices for the Long Tail

Exploring the Experiences of Individuals Who are Blind or Low-Vision Using Object-Recognition Technologies in India

“Put Your Hands Up”: How Joint Attention Is Initiated Between Blind Children And Their Sighted Peers

Weaving Sound Information to Support Deaf and Hard of Hearing People’s Real-time Sensemaking of Auditory Environments: Co-designing with a DHH User

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

Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors

ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition

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

“I can do everything but see!” — How People with Vision Impairments Negotiate their Abilities in Social Contexts

“Put Your Hands Up”: How Joint Attention Is Initiated Between Blind Children And Their Sighted Peers

The ORBIT India Dataset: Understanding the Challenges of Collecting a Disability-First AI Dataset in Low-Resource Environments

Collective Agency in Art-making: Towards Community-centric Design of Text-to-Image (T2I) AI Tools

Exploring the Experiences of Individuals Who are Blind or Low-Vision Using Object-Recognition Technologies in India

“Put Your Hands Up”: How Joint Attention Is Initiated Between Blind Children And Their Sighted Peers

Weaving Sound Information to Support Deaf and Hard of Hearing People’s Real-time Sensemaking of Auditory Environments: Co-designing with a DHH User

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

Strong Baselines for Parameter Efficient Few-Shot Fine-tuning

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

Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks

NP-Match: When Neural Processes meet Semi-Supervised Learning

Memory Efficient Meta-Learning with Large Images

Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors

ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition

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

“I can do everything but see!” — How People with Vision Impairments Negotiate their Abilities in Social Contexts

Position: To Make Text-to-Image Models that Work for Marginalized Communities, We Need New Measurement Practices for the Long Tail

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