This paper examines the cascading effects of technical failures in transit, focusing on the challenges faced by bus operators when communication, passenger-facing, and mechanical technologies fail.Through a diary study, we gather operator accounts of critical tools like radios, mobile data terminals (MDTs), payment systems, and ramps, alongside their failures.Issues like radio outages, GPS malfunctions, and broken fare systems lead to operational delays, safety risks, and increased stress.Triaging breakdowns becomes crucial to operations and drivers adapt by using personal phones in emergencies, highlighting gaps in system integration.As transit electrifies its fleets and considers a wider range of innovations, these failures offer key insights into the challenges ahead, emphasizing the need for robust, adaptable systems that ensure operational continuity and protect worker well-being amid rapid technological change.

Taking notes quickly while effectively capturing key information can be challenging, especially when watching videos that present simultaneous visual and auditory streams. Manually taken notes often miss crucial details due to the fast-paced nature of the content, while automatically generated notes fail to incorporate user preferences and discourage active engagement with the content. To address this, we propose an interactive system, NoTeeline, for supporting real-time, personalized notetaking. Given micronotes, NoTeeline automatically expands them into full-fledged notes using a Large Language Model (LLM). The generated notes build on the content of micronotes by adding relevant details while maintaining consistency with the user's writing style. In a within-subjects study (n=12), we found that NoTeeline creates high-quality notes that capture the essence of participant micronotes with 93.2% factual correctness and accurately align with participant writing style (8.33% improvement). Using NoTeeline, participants could capture their desired notes with significantly reduced mental effort, writing 47.0% less text and completing their notes in 43.9% less time compared to a manual notetaking baseline. Our results suggest that NoTeeline enables users to integrate LLM assistance in a familiar notetaking workflow while ensuring consistency with their preferences - providing an example of how to address broader challenges in designing AI-assisted tools to augment human capabilities without compromising user autonomy and personalization.

In North America, bus operators are essential but undervalued public servants — the ''human infrastructure'' of public transit. Transit workers face a range of largely invisible health and safety issues that have worsened in recent years. As more attention is directed toward new technologies being commercialized in the sector these operational challenges remain largely unaddressed. Our paper contributes to a turn ''back to labor'' and describes issues bus operators face on the job. Through a diary study of bus operators' working conditions we detail how punctuated moments of workplace violence, inhumane scheduling, and unsafe operational conditions become prolonged infrastructural failure. We outline how CSCW researchers and practitioners can contribute to the design of transit systems that enhance worker dignity and contribute to ongoing efforts to address urgent health and safety concerns.

This paper describes how the circumstances bus operators manage presents unique challenges to the feasibility of high-level automation in public transit. Avoiding an overly rationalized view of bus operators’ labor is critical to ensure the introduction of automation technologies does not compromise public wellbeing, the dignity of transit workers, or the integrity of critical public infrastructure. Our findings from a group interview study show that bus operators take on work — undervalued by those advancing automation technologies — to ensure the well-being of passengers and communities. Notably, bus operators are positioned to function as shock absorbers during social crises in their communities and in moments of technological breakdown as new systems come on board. These roles present a critical argument against the rapid push toward driverless automation in public transit. We conclude by identifying opportunities for participatory design and collaborative human-machine teaming for a more just future of transit.