Brainstorming interfaces for unfamiliar technology like AVs can be challenging for non-designers. In this study, I built AV-Sketch, an in-situ (on-site) simulator that allows the creation of automotive interfaces while immersed in virtual reality (VR) to actively participate in the design process. I conducted a participatory design study (n=15) using PICTIVE (Plastic Interface for Collaborative Technology) to conceptualize human-machine interfaces for AV passengers. The findings led to the design of AV-Sketch, which I further tested in a design session (n=10), assessing users’ design experiences.
AV-Sketch enabled better contextualization of design ideas in real-world scenarios, with improved spatial considerations and dynamic aspects of in-vehicle HMI interfaces.
Academic Contributions:
[1] Introducing AV-Sketch: An Immersive Participatory Design Tool for Automated Vehicle — Passenger Interaction [AutoUI'24]
Many developing countries in the Global South face unique transportation challenges, including inadequate infrastructure, high traffic congestion levels, and limited public transportation access. Additionally, women and girls face significant safety risks (e.g., sexual harassment and assaults) when using public transportation, which is a significant barrier to women's mobility.
In this research, I conducted a mixed-methods study (focus groups and co-design) with Bangladeshi women (n=23) to study their daily struggles and concerns in public transportation. The qualitative findings led to the potential design of autonomous vehicles (AVs) to ensure greater mobility and enhanced safety in the Global South and other marginalized communities.
Academic Contributions:
[1] “Shotitwo First!”: Unraveling Global South Women’s Challenges in Public Transport to Inform Autonomous Vehicle Design [DIS'24]
[2] [GI 2023] Poster: A Cross-Cultural Exploration of Autonomous Vehicle Interactions with Female Passengers
AV-Older Adult Communication: (a) interview session, (b) in-car interface prototypes, (c) virtual reality simulation testing.
Older adults (aged 65 or over) are expected to be one of the largest user cohorts of autonomous vehicles as they support aging in place through freedom of mobility. As aging is associated with sensory and cognitive declines, such as poor vision, hearing impairment, and dementia, they have unique needs and challenges while interacting with AVs as passengers.
I led all project milestones, including the literature review, study design, VR prototyping (Unity, C#), study execution, data analysis, and translating findings into actionable interface design insights. Through this work with older adults (N=25), I distilled user input into inclusive design recommendations for AV interiors to easily access and ride autonomous vehicles without experiencing anxiety and frustration.
Selected Publications and Activities:
[1] [DIS 2023] Designing Inclusive Interaction with Autonomous Vehicles for Older Passengers [Video]
[2] [Growing Older, Growing Smarter Event 2022] Poster: Designing Inclusive Interaction with Autonomous Vehicles
Despite widespread attention from academia, industry, and policymakers, Islamophobic posts are increasing online. There are significant advances in content moderation within HCI; however, social computing scholarship in this area remains constrained by Western interpretations of justice. This research aims to understand the issues of Islamophobia in social media and explores effective technology and policy solutions to address this problem.
In this work, we developed an online tool for reporting and moderating Islamophobic tweets using HCI theories and readily available NLP techniques. I led the user-centred study design and conducted usability studies, contextual inquiries, and interviews with 32 participants to assess the tool’s effectiveness in addressing Islamophobic content.
Selected Publications and Activities:
[1] Combating Islamophobia: Compromise, Community, and Harmony in Mitigating Harmful Online Content [TSC 2023]
[2] [CHI 2022 Workshop] Detecting and Mitigating Islamophobic Posts Online
This research investigates the emerging new domain of interaction between pedestrians and AVs to design accessible interfaces for vulnerable road users. This includes pedestrians with reduced mobility, like wheelchair users, and individuals with hearing impairments. My work has pioneered accessibility research for pedestrian safety within the automotive domain.
I conducted participatory design studies with interaction design experts to explore potential interface ideas. Later, I performed iterative co-design sessions with wheelchair and hearing aid users to understand their unique perspectives and challenges in making crossing decisions as pedestrians. Based on the findings from the qualitative analysis, I developed VR prototypes (Unity, C#) simulating human-machine interfaces (HMIs) to establish a better communication medium between AVs and road users.
Selected Publications and Activities:
[1] [CHI 2022 Workshop] Towards Designing Audio Interactions with Autonomous Vehicles: A Hearing-Enhanced Pedestrian Story
[2] [DIS 2021] Co-Designing Interactions between Pedestrians in Wheelchairs and Autonomous Vehicles [Video]
[3] [CHI 2020 LBW] Views from the wheelchair: Understanding interaction between autonomous vehicle and pedestrians with reduced mobility [Video]
External Automotive Display Design: sketches from design study, and example of VR prototypes
This project introduces External Automotive Displays (EADs) to provide visualizations that can share context and user-specific information and offer opportunities for direct and mediated interaction between users and automobiles. I conducted a study with interaction designers to explore design opportunities on EADs. Based on the design study, I prototyped four EADs in virtual reality and presented a preliminary design critique of the prototypes.
Selected Publications:
[AutoUI 20]: Designing external automotive displays: VR prototypes and analysis