As climate change continues to impact disabled communities around the world disproportionately, there is an urgent call to design accessible climate change interventions.However, there is a need first to understand the lived experiences of disabled populations experiencing the effects of climate change.In this poster, we analyze a diverse range of source documents (N = 168) to characterize these experiences.We highlight five themes embedded in the source documents, including the inaccessibility of the climate movement and the compounding toll on mental and physical health.Finally, we present an open call to the community as initial steps toward designing accessible climate change interventions. CCS Concepts• Human-centered computing → Accessibility; • Social and professional topics → People with disabilities; • General and reference → Surveys and overviews.

In this session, we aim to foster a community of computer science faculty across many primarily undergraduate institutions. We will foster an inclusive environment through activities that allow for multiple forms of engagement (e.g. shows of hands, small group introductions, and full group discussion). We will facilitate discussions about ways computer science is changing at PUIs and continue to brainstorm ways that our community can be sustained outside of the SIGCSE TS.

In this session, we aim to foster a community of computer science faculty across many primarily undergraduate institutions. We will foster an inclusive environment through activities that allow for multiple forms of engagement (e.g. shows of hands, small group introductions, and full group discussion). We will facilitate discussions about ways computer science is changing at PUIs and brainstorm ways that our community can be sustained outside of the SIGCSE TS.

Virtual assistants, vacuum robots, security systems, and other smart home technologies are rapidly advancing, evolving, and gaining popularity. This raises questions of how people envision future interactions with smart home systems and how they imagine the future roles of such technologies in society. We deployed an online study that collected fictional short stories from 60 participants about smart home interactions. We identified themes regarding the roles of smart home technologies, social interactions with AI, and concerns about data privacy in the context of the home. We describe our method, discuss insights from the stories that explicitly reflect possible futures and implicitly reflect the present, and make design recommendations based on our findings.

There is considerable effort within the HCI community to explore, document, and advocate for the lived experiences of persons with disabilities (PWDs). However, PWDs from the Global South, particularly Africa, are underrepresented in this scholarship. We contribute to closing this gap by investigating the unmet transit needs and characterization of technology within the disability community in Kampala, Uganda. We investigated transportation due to the increase in ride-share solutions created by widespread mobile computing and the resulting disruption of transportation worldwide. We hosted co-design sessions with disability advocates and adapted the stakeholder tokens method from the value-sensitive design framework to map the stakeholder ecosystem. Our key insight is the identification of a new group of non-traditional core stakeholders who highlight the values of inclusion, mobility, and safety within the ecosystem. Finally, we discuss how our findings engage with concepts of disability justice and perceptions of power.

How are people using current smart home technologies, and how do they conceptualize future ones that are more interconnected and more capable than those available today? We deployed an online survey study to 150 participants to investigate use of and opinions about smart speakers, home robots, virtual assistants, and other smart home devices. We also gauged how impressions of connected smart home devices are shaped by the way the devices interact with one another. Through a mixed-methods qualitative and quantitative approach, we found that people mostly use single devices for single functions, and have simple and brief interactions with virtual assistants. However, they imagine their future devices to have more control over the physical environment (i.e., interact with each other) and envision them interacting with people in more socially complex ways. These findings motivate design considerations and research directions for connected smart home technologies.

The COVID-19 pandemic has forced institutions to rapidly alter their behavior, which typically has disproportionate negative effects on people with disabilities as accessibility is overlooked. To investigate these issues, we analyzed Twitter data to examine accessibility problems surfaced by the crisis. We identified three key domains at the intersection of accessibility and technology: (i) the allocation of product delivery services, (ii) the transition to remote education, and (iii) the dissemination of public health information. We found that essential retailers expanded their high-risk customer shopping hours and pick-up and delivery services, but individuals with disabilities still lacked necessary access to goods and services. Long-experienced access barriers to online education were exacerbated by the abrupt transition of in-person to remote instruction. Finally, public health messaging has been inconsistent and inaccessible, which is unacceptable during a rapidly-evolving crisis. We argue that organizations should create flexible, accessible technology and policies in calm times to be adaptable in times of crisis to serve individuals with diverse needs.

Smart technologies have recently come under scrutiny for automating inequality. Given the current push towards developing and implementing smart cities policies that affect transportation systems in places like Kampala and Kigali, it is important to examine how the different modes of transportation meet the needs of diverse passengers and identify opportunities for technology to address any inequities. Prior studies have focused on the impact of informal public transportation on government policy and examined drivers' perspectives, but they largely overlooked the experiences of passengers and other industry stakeholders. In this study, we conducted interviews and surveys with public transportation riders with different disabilities as well as other stakeholders, including transport and financial technology creators. Our findings illuminate inequities in the transportation system surrounding discrimination and harassment, influence of ability on preferred transportation modes despite inaccessible interfaces, and influence of perceived social hierarchical structures on innovation. We present insights into how passengers appropriate technology to overcome challenges, and we uncover opportunities for technology to fill additional gaps. Lastly, we discuss how these findings support emergent frameworks such as aspiration-based design, and we present potential envisioned futures of technology for informal public transportation.

Personalization of user experience has a long history of success in the HCI community. More recently the community has focused on adaptive user interfaces, supported by machine learning, that reduce interaction efforts and improves user experience by collapsing transactions and pre-filtering results. However, generally, these more recent results have only been demonstrated in the laboratory environment. In this paper, we share the case of a deployed mobile transit app that adapts based on users’ previous usage. We examine the impact of adaptation, both good and bad, and user abandonment rates. We conducted an 18-month assessment where 2,616 participants (with and without vision impairments) were recruited and participated in an A/B study. Finally, we draw some insights on some unusual effects that appear over the long term.