Publications / Under Submission / Google Scholar Profile
Publications
2024
Mediating Culture: Cultivating Socio-cultural Understanding of AI in Children through Participatory Design.
Designing Interactive Systems (DIS) 2024.
Aayushi Dangol, Michelle Newman, Robert Wolfe, Jin Ha Lee, Jason Yip, Julie Kientz, & Caroline Pitt.
Summary: Introduces participatory approach to co-designing AI with kids in ways that facilitate an understanding of generative AI as a mediator of culture.
Representation Bias of Adolescents in AI: A Bilingual, Bicultural Study.
AI Ethics and Society (AIES) 2024
Robert Wolfe, Aayushi Dangol, Bill Howe, & Alexis Hiniker.
Summary: Study comparing biases about adolescents learned by AI to similar biases identified in traditional and news media sources in both the U.S. and Nepal. Conducts workshops with 13 U.S. teenagers and 18 Nepalese teenagers to understand how teenagers themselves view fair representation in media and AI.
Opportunities and Challenges for AI-Based Support for Speech-Language Pathologists.
Best Paper Honorable Mention, Human-Computer Interaction for Work (CHIWORK) 2024.
Hyewon Suh, Aayushi Dangol, Hedda Meadan, Carol Miller & Julie Kientz.
Summary: Study offers insights into how AI can be integrated to address Speech-Language Pathologists’ needs, increase their capacity, and improve job satisfaction.
Dataset Scale and Societal Consistency Mediate Facial Impression Bias in Vision-Language AI.
AIES 2024.
Robert Wolfe, Aayushi Dangol, Bill Howe, & Alexis Hiniker.
Summary: Study of the factors affecting the presence of facial impression bias in 43 multimodal CLIP models, as well as the reproduction of facial impression biases by generative multimodal models such as Stable Diffusion.
AI-Driven Support for People with Speech & Language Difficulties.
Human Factors in Computing Systems (CHI) 2024.
Aayushi Dangol, Yun Huang, Srirangaraj Setlur, Adele Smolansky, Hariharan Subramonyam, Hyewon Suh, Jinjun Xiong & Julie Kientz
Summary: Special Interest Group (SIG) to explore human-centered AI design for supporting individuals with speech and language difficulties through collaborative discussions among experts in AI, accessibility, speech pathology, ethics, and HCI.
TogetherTales RPG: Prosocial Skill Development Through Digitally Mediated Collaborative Role-Playing.
3rd Place in Research and Design Challenge, IDC 2024.
Riddhi Divanji, Aayushi Dangol, Ella Lombard, Katharine Chen & Jennifer Rubin.
Summary: Showcases an AR platform, ”TogetherTales RPG,” designed to foster prosocial behavior in children aged 4 to 6 through AI-driven, collaborative role-playing experiences.
Advancing Inclusive Education: AI-driven Technologies for Children with Speech and Language Difficulties.
ACM CHI 2024 Workshop on Transformative Technologies for Children: Going beyond Good.
Aayushi Dangol, Cecilia Hung, Hyewon Suh & Julie Kientz.
Summary: Proposes a Value Sensitive Design approach for advancing the design of AI-driven tools for children.
2023
Constructionist approaches to critical data literacy: A review.
Interaction Design and Children (IDC) 2023.
Aayushi Dangol & Sayamindu Dasgupta.
Summary: Study examines the importance of teaching critical data literacy to children using constructionist approaches that emphasize power, equity, and justice in engagement with data.
Concepts, practices, and perspectives for developing computational data literacy: Insights from workshops with a new data programming system.
IDC 2023.
Ruijia Cheng, Aayushi Dangol, Frances Marie Tabio Ello, Lingyu Wang & Sayamindu Dasgupta
Summary: Introduces a visual block-based programming system for children to process, analyze, and visualize data.
Human Centered Design of AI Technology for Children with Speech and Language Difficulties.
IDC 2023 Workshop on Designing AI Interfaces for Children with Special Needs in Educational Contexts.
Julie Kientz, Yun Huang, Aayushi Dangol, Hyewon Suh & Qingxiao Zheng.
Summary: Introduces the National AI Institute for Exceptional Education, a $20 million initiative aimed at developing AI tools to enhance speech-language pathologists’ ability to screen and deliver interventions for children aged 3-5.
2022
Culturally responsive storytelling across content areas using American Indian ledger art and physical computing.
American Society for Engineering Education (ASEE) 2022.
Joseph Chipps, Aayushi Dangol, Brittany Terese Fasy, Stacey Hancock, Mengying Jiang, Aubrey Rogowski, Kristin Searle & Colby Tofel-Grehl
Summary: Presents an integrated unit for teaching Computer Science and Indian Education through physical computing and ledger art.
Under Submission in Peer-Reviewed Venues
Broadening the Scope of Support: Designing for AI-Supported Home Practice in Speech Therapy.
*Aayushi Dangol, Aaleyah Lewis, Hyewon Suh, Cecilia Hung, James Fogarty & Julie Kientz
Summary: Explores AI-based solutions to support Speech & Language Pathologists in providing equitable care to culturally and linguistically diverse children with disabilities.
Exploring AI-Based Support in Speech-Language Pathology for Culturally and Linguistically Diverse Children.
Aaleyah Lewis, Aayushi Dangol, Hyewon Suh, Abbie Olszewski, James Fogarty & Julie Kientz
Summary: Introduces a culturally and linguistically diverse framework for AI-supported speech practice to help families with home practice activities.
Designing with ARC Puzzles: Helping Children Grasp the Strengths and Limitations of Generative AI.
Aayushi Dangol, Runhua Zhang, Robert Wolfe, Trushaa Ramanan, Jaewon Kim, Jason Yip & Julie Kientz
Summary: Introduces the interactive AI Puzzlers system designed to help children understand the capabilities and limitations of generative AI.
Toward Nonviolent Design: Co-Designing a Human-Centered Framework for AI-Mediated Communication.
Robert Wolfe, Aayushi Dangol, Jaewon Kim, and Alexis Hiniker.
Summary: Introduces a human-centered framework for AI-mediated communication that builds on the principles of Nonviolent Communication (NVC).
Reading AI and Reading the World: Using an Interactive AI System to Promote Children’s Understanding of AI Bias.
Aayushi Dangol, Robert Wolfe, Akeiylah Dewitt, Ben Chickadel, Julie Kientz, and Sayamindu Dasgupta.
Summary: Introduces the interactive CLIP4KIDS system and studies how students understand AI biases in terms of “assumptions” and “stereotypes,” drawing connections between historical injustices and present implicit biases in AI models.