Danyang Fan
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Danyang Fan has a total of 49 co-authors. Here are the top co-authors by number of shared publications:
- Sean Follmer
Stanford University, Stanford, California, USA
7 shared publications - Gene Sung-Ho Kim
Stanford University, Stanford, USA
4 shared publications - Shloke Nirav Patel
Stanford University, Stanford, California, USA
3 shared publications - Sile O'Modhrain
University of Michigan, Ann Arbor, Michigan, USA
3 shared publications - Victor R. Lee
Stanford University, Stanford, USA
3 shared publications - Aya Mouallem
Stanford University, Stanford, California, USA
2 shared publications
Latest Publications
- Open Access
- 25 April 2025
- Published by Association for Computing Machinery (ACM)
- p. 1-18
IncluSim: An Accessible Educational Electronic Circuit Simulator for Blind and Low-Vision Learners
- 25 April 2025
- Published by Association for Computing Machinery (ACM)
- p. 1-18
Open AccessIncluSim: An Accessible Educational Electronic Circuit Simulator for Blind and Low-Vision Learners
- Open Access
- 25 April 2025
- Published by Association for Computing Machinery (ACM)
- p. 1-7
Computational Modeling of Non-Visual Vibrotactile Touchscreen Exploration
- 25 April 2025
- Published by Association for Computing Machinery (ACM)
- p. 1-7
Open AccessComputational Modeling of Non-Visual Vibrotactile Touchscreen Exploration
- Open Access
- 25 April 2025
- Published by Association for Computing Machinery (ACM)
- p. 1-6
Assembling 3D-Printed Objects Without Vision: Challenges, Strategies, and Opportunities
3D-printing can benefit blind and low-vision (BLV) users by offering tactile access to information typically conveyed visually. Complex printed models often require users to assemble multiple components, a process that relies on visual cues for sighted individuals, while the assembly experiences of BLV users remain poorly understood. In this work, we investigate how BLV users experience and navigate 3D-printed object assembly. We conducted a user study with six BLV participants under three conditions: (1) unassisted, (2) assisted by a sighted mediator, and (3) guided by step-by-step verbal instructions. Verbal instructions helped participants identify, confirm, orient, and fasten components; but challenges locating and distinguishing joints persisted. Co-designing with BLV users identified uses for tactile markers to complement verbal cues and support spatially relevant aspects of the assembly process. Our results highlight the need for assembly instructions tailored to BLV users, and we conclude with recommendations for future research and development.
- 25 April 2025
- Published by Association for Computing Machinery (ACM)
- p. 1-6
Open AccessAssembling 3D-Printed Objects Without Vision: Challenges, Strategies, and Opportunities
3D-printing can benefit blind and low-vision (BLV) users by offering tactile access to information typically conveyed visually. Complex printed models often require users to assemble multiple components, a process that relies on visual cues for sighted individuals, while the assembly experiences of BLV users remain poorly understood. In this work, we investigate how BLV users experience and navigate 3D-printed object assembly. We conducted a user study with six BLV participants under three conditions: (1) unassisted, (2) assisted by a sighted mediator, and (3) guided by step-by-step verbal instructions. Verbal instructions helped participants identify, confirm, orient, and fasten components; but challenges locating and distinguishing joints persisted. Co-designing with BLV users identified uses for tactile markers to complement verbal cues and support spatially relevant aspects of the assembly process. Our results highlight the need for assembly instructions tailored to BLV users, and we conclude with recommendations for future research and development.
- Open Access
- 25 April 2025
- Published by Association for Computing Machinery (ACM)
- p. 1-20
Promoting Comprehension and Engagement in Introductory Data and Statistics for Blind and Low-Vision Students: A Co-Design Study
- 25 April 2025
- Published by Association for Computing Machinery (ACM)
- p. 1-20
Open AccessPromoting Comprehension and Engagement in Introductory Data and Statistics for Blind and Low-Vision Students: A Co-Design Study
- Open Access
- 2 May 2024
- Published by Association for Computing Machinery (ACM)
- p. 1-9
Tangible Stats: An Embodied and Multimodal Platform for Teaching Data and Statistics to Blind and Low Vision Students
- 2 May 2024
- Published by Association for Computing Machinery (ACM)
- p. 1-9
Open AccessTangible Stats: An Embodied and Multimodal Platform for Teaching Data and Statistics to Blind and Low Vision Students
- Open Access
- 14 April 2024
- Published by Center for Open Science in OSF Preprints
Tangible Stats: An Embodied and Multimodal Platform for Teaching Data and Statistics to Blind and Low Vision Students
Interactive data learning tools provide explorable ways for students to build intuitions about data, data representations, and statistical parameters. However, these tools rely on visual consumption and are not accessible to blind and low vision (BLV) students. In this work, we investigate opportunities to leverage active exploration, enriched with multimodal feedback and embodied interaction, to foster an understanding of the relationships among individual data values, data representations, and statistical measures. We explore these opportunities in the form of an accessible learning platform that allows students to hear and feel how statistical measures are changing in real time as they construct and manipulate physicalized data representations. We introduced the platform to four teachers of students with visual impairments (TVIs) through a two-hour-long focus group. TVIs embraced the platform's exploratory nature and universality and recommended the consideration of additional auditory and texture-based interactions to enhance engagement.
- 14 April 2024
- Published by Center for Open Science in OSF Preprints
Open AccessTangible Stats: An Embodied and Multimodal Platform for Teaching Data and Statistics to Blind and Low Vision Students
Interactive data learning tools provide explorable ways for students to build intuitions about data, data representations, and statistical parameters. However, these tools rely on visual consumption and are not accessible to blind and low vision (BLV) students. In this work, we investigate opportunities to leverage active exploration, enriched with multimodal feedback and embodied interaction, to foster an understanding of the relationships among individual data values, data representations, and statistical measures. We explore these opportunities in the form of an accessible learning platform that allows students to hear and feel how statistical measures are changing in real time as they construct and manipulate physicalized data representations. We introduced the platform to four teachers of students with visual impairments (TVIs) through a two-hour-long focus group. TVIs embraced the platform's exploratory nature and universality and recommended the consideration of additional auditory and texture-based interactions to enhance engagement.
- Open Access
- 22 October 2023
- Published by Association for Computing Machinery (ACM)
- p. 1-16
Improving the Accessibility of Screen-Shared Presentations by Enabling Concurrent Exploration
- 22 October 2023
- Published by Association for Computing Machinery (ACM)
- p. 1-16
Open AccessImproving the Accessibility of Screen-Shared Presentations by Enabling Concurrent Exploration
- Top Cited PapersOpen Access
- 29 March 2023
- Published by Association for Computing Machinery (ACM) in ACM Transactions on Accessible Computing
- Vol. 16 (1) , 1-29
The Accessibility of Data Visualizations on the Web for Screen Reader Users: Practices and Experiences During COVID-19
Data visualization has become an increasingly important means of effective data communication and has played a vital role in broadcasting the progression of COVID-19. Accessible data representations, however, have lagged behind, leaving areas of information out of reach for many blind and visually impaired (BVI) users. In this work, we sought to understand (1) the accessibility of current implementations of visualizations on the web; (2) BVI users’ preferences and current experiences when accessing data-driven media; (3) how accessible data representations on the web address these users’ access needs and help them navigate, interpret, and gain insights from the data; and (4) the practical challenges that limit BVI users’ access and use of data representations. To answer these questions, we conducted a mixed-methods study consisting of an accessibility audit of 87 data visualizations on the web to identify accessibility issues, an online survey of 127 screen reader users to understand lived experiences and preferences, and a remote contextual inquiry with 12 of the survey respondents to observe how they navigate, interpret, and gain insights from accessible data representations. Our observations during this critical period of time provide an understanding of the widespread accessibility issues encountered across online data visualizations, the impact that data accessibility inequities have on the BVI community, the ways screen reader users sought access to data-driven information and made use of online visualizations to form insights, and the pressing need to make larger strides towards improving data literacy, building confidence, and enriching methods of access. Based on our findings, we provide recommendations for researchers and practitioners to broaden data accessibility on the web.
- 29 March 2023
- Published by Association for Computing Machinery (ACM) in ACM Transactions on Accessible Computing
- Vol. 16 (1) , 1-29
Top Cited PapersOpen AccessThe Accessibility of Data Visualizations on the Web for Screen Reader Users: Practices and Experiences During COVID-19
Data visualization has become an increasingly important means of effective data communication and has played a vital role in broadcasting the progression of COVID-19. Accessible data representations, however, have lagged behind, leaving areas of information out of reach for many blind and visually impaired (BVI) users. In this work, we sought to understand (1) the accessibility of current implementations of visualizations on the web; (2) BVI users’ preferences and current experiences when accessing data-driven media; (3) how accessible data representations on the web address these users’ access needs and help them navigate, interpret, and gain insights from the data; and (4) the practical challenges that limit BVI users’ access and use of data representations. To answer these questions, we conducted a mixed-methods study consisting of an accessibility audit of 87 data visualizations on the web to identify accessibility issues, an online survey of 127 screen reader users to understand lived experiences and preferences, and a remote contextual inquiry with 12 of the survey respondents to observe how they navigate, interpret, and gain insights from accessible data representations. Our observations during this critical period of time provide an understanding of the widespread accessibility issues encountered across online data visualizations, the impact that data accessibility inequities have on the BVI community, the ways screen reader users sought access to data-driven information and made use of online visualizations to form insights, and the pressing need to make larger strides towards improving data literacy, building confidence, and enriching methods of access. Based on our findings, we provide recommendations for researchers and practitioners to broaden data accessibility on the web.
- 8 September 2022
- Published by Springer Nature
- p. 97-108
Accessibility of Linked-Node Diagrams on Collaborative Whiteboards for Screen Reader Users: Challenges and Opportunities
- 8 September 2022
- Published by Springer Nature
- p. 97-108
Accessibility of Linked-Node Diagrams on Collaborative Whiteboards for Screen Reader Users: Challenges and Opportunities
- 21 January 2019
- Published by Wiley in Journal of Turbomachinery
- Vol. 141 (6)
Experimental Study of Periodic Free Stream Unsteadiness Effects on Discrete Hole Film Cooling in Two Geometries
Discrete hole film cooling is widely employed to protect turbine blades and vanes from hot combustion gases entering the high-pressure turbine stage. Accurate prediction of the heat transfer near film cooling holes is critical, and high-fidelity experimental data sets are needed for validation of new computational models. Relatively few studies have examined the effects of periodic main flow unsteadiness resulting from the interaction of turbine blades and vanes, with a particular lack of data for shaped hole configurations. Periodic unsteadiness was generated in the main flow over a laidback, fan-shaped cooling hole at a Strouhal number (St = fD/U) of 0.014 by an airfoil oscillating in pitch. Magnetic resonance imaging (MRI) with water as the working fluid was used to obtain full-field, phase-resolved velocity and scalar concentration data. Operating conditions consisted of a hole Reynolds number of 2900, channel Reynolds number of 25, 000, and blowing ratio of unity. Both mean and phase-resolved data are compared to the previous measurements for the same hole geometry with steady main flow. Under unsteady freestream conditions, the flow separation pattern inside the hole was observed to change from an asymmetric separation bubble to two symmetric bubbles. The periodic unsteadiness was characterized by alternating periods of slow main flow, which allowed the coolant to penetrate into the freestream along the centerplane, and fast, hole-impinging main flow, which deflected coolant toward the laidback wall and caused ejection of coolant from the hole away from the centerplane. Mean adiabatic surface effectiveness was reduced up to 23% inside the hole, while mean laterally averaged effectiveness outside the hole fell 28–36% over the entire measurement domain. A brief comparison to a round jet with and without unsteadiness is included; for the round jet, no disturbance was observed inside the hole, and some fluctuations directed coolant toward the wall, which increased mean film cooling effectiveness. The combined velocity and concentration data for both cases are suitable for quantitative validation of computational fluid dynamics predictions for film cooling flows with periodic freestream unsteadiness.
- 21 January 2019
- Published by Wiley in Journal of Turbomachinery
- Vol. 141 (6)
Experimental Study of Periodic Free Stream Unsteadiness Effects on Discrete Hole Film Cooling in Two Geometries
Discrete hole film cooling is widely employed to protect turbine blades and vanes from hot combustion gases entering the high-pressure turbine stage. Accurate prediction of the heat transfer near film cooling holes is critical, and high-fidelity experimental data sets are needed for validation of new computational models. Relatively few studies have examined the effects of periodic main flow unsteadiness resulting from the interaction of turbine blades and vanes, with a particular lack of data for shaped hole configurations. Periodic unsteadiness was generated in the main flow over a laidback, fan-shaped cooling hole at a Strouhal number (St = fD/U) of 0.014 by an airfoil oscillating in pitch. Magnetic resonance imaging (MRI) with water as the working fluid was used to obtain full-field, phase-resolved velocity and scalar concentration data. Operating conditions consisted of a hole Reynolds number of 2900, channel Reynolds number of 25, 000, and blowing ratio of unity. Both mean and phase-resolved data are compared to the previous measurements for the same hole geometry with steady main flow. Under unsteady freestream conditions, the flow separation pattern inside the hole was observed to change from an asymmetric separation bubble to two symmetric bubbles. The periodic unsteadiness was characterized by alternating periods of slow main flow, which allowed the coolant to penetrate into the freestream along the centerplane, and fast, hole-impinging main flow, which deflected coolant toward the laidback wall and caused ejection of coolant from the hole away from the centerplane. Mean adiabatic surface effectiveness was reduced up to 23% inside the hole, while mean laterally averaged effectiveness outside the hole fell 28–36% over the entire measurement domain. A brief comparison to a round jet with and without unsteadiness is included; for the round jet, no disturbance was observed inside the hole, and some fluctuations directed coolant toward the wall, which increased mean film cooling effectiveness. The combined velocity and concentration data for both cases are suitable for quantitative validation of computational fluid dynamics predictions for film cooling flows with periodic freestream unsteadiness.