Morrison, Cecily

The evolution of mobile apps for asthma: an updated systematic assessment of content and tools

Huckvale, K., Morrison, C., Ouyang, J., Ghaghda, A., & Car, J. (2015) · BMC Medicine

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 166

Electronic patient record use during ward rounds: a qualitative study of interaction between medical staff

Morrison, C., Jones, M., Blackwell, A., & Vuylsteke, A. (2008) · Critical Care

Electronic Health Records SystemsNursing Diagnosis and Documentation

Cited by 71

Imagining Artificial Intelligence Applications with People with Visual Disabilities using Tactile Ideation

Morrison, C., Cutrell, E., Dhareshwar, A., Doherty, K., Thieme, A., & Taylor, A. (2017) · Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility

Assistive Technology in Communication and MobilityInnovative Human-Technology Interaction

Cited by 69

A Mobile App for the Self-Report of Psychological Well-Being During Pregnancy (BrightSelf): Qualitative Design Study

Doherty, K., Barry, M., Marcano-Belisario, J., Arnaud, B., Morrison, C., Car, J., & Doherty, G. (2018) · JMIR Mental Health

Maternal Mental Health During Pregnancy and PostpartumMobile Health and mHealth Applications

Cited by 67

Analyzing Engagement in a Web-Based Intervention Platform Through Visualizing Log-Data

Morrison, C., & Doherty, G. (2014) · Journal of Medical Internet Research

Digital Mental Health InterventionsData Visualization and Analytics

Cited by 62

mHealth for Maternal Mental Health: Everyday Wisdom in Ethical Design

Barry, M., Doherty, K., Marcano Belisario, J., Car, J., Morrison, C., & Doherty, G. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 57

The Clinical Application of Mobile Technology to Disaster Medicine

Case, T., Morrison, C., & Vuylsteke, A. (2012) · Prehospital and Disaster Medicine

Disaster Response and ManagementMobile Health and mHealth Applications

Cited by 47

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

Theodorou, L., Massiceti, D., Zintgraf, L., Stumpf, S., Morrison, C., Cutrell, E., Harris, M. T., & Hofmann, K. (2021) · Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility

Assistive Technology in Communication and MobilityDigital Accessibility for Disabilities

Cited by 42

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

Morrison, C., Grayson, M., Marques, R. F., Massiceti, D., Longden, C., Wen, L., & Cutrell, E. (2023) · The 25th International ACM SIGACCESS Conference on Computers and Accessibility

Digital Accessibility for DisabilitiesAssistive Technology in Communication and Mobility

Cited by 38

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

Massiceti, D., Zintgraf, L., Bronskill, J., Theodorou, L., Harris, M. T., Cutrell, E., Morrison, C., Hofmann, K., & Stumpf, S. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 33

Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology

Thieme, A., Rajamohan, A., Cooper, B., Groombridge, H., Simister, R., Wong, B., Woznitza, N., Pinnock, M. A., Wetscherek, M. T., Morrison, C., et al. (2024) · arXiv

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 10

Enable Blind Users’ Experience in 3D Virtual Environments: The Scene Weaver Prototype

Balasubramanian, H., Morrison, C., Grayson, M., Makhataeva, Z., Marques, R. F., Gable, T., Perez, D., & Cutrell, E. (2023) · Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

Digital Accessibility for DisabilitiesTactile and Sensory Interactions

Cited by 10

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

Massiceti, D., Longden, C., Słowik, A., Wills, S., Grayson, M., & Morrison, C. (2023) · arXiv

Multimodal Machine Learning ApplicationsAssistive Technology in Communication and Mobility

Cited by 1

Engaging Communities Meaningfully in Defining Disability Representation for AI Image Generation

Thieme, A., Faia Marques, R., Grayson, M., Balachandar, S., Tyler Cassidy, C., Choksi, M. Z., Longden, C., Huda, R. S., Ileve Kalovwe, N., Mallon, C., et al. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIDisability Rights and Representation

Cited by 1