Autoethnography is a valuable methodological approach bridging the gap between personal experiences and academic inquiry, enabling researchers to gain deep insights into various dimensions of technology use and design. While its adoption in Human-Computer Interaction (HCI) continues to grow, a comprehensive investigation of its function and role within HCI research is still lacking. This paper examines the evolving landscape of autoethnographies within HCI over the past two decades through a systematic literature review. We identify prevalent themes, methodologies, and contributions emerging from autoethnographies by analysing a corpus of 31 HCI publications. Furthermore, we detail data collection techniques and analysis methods and describe reporting standards. Our literature review aims to inform future (HCI) researchers, practitioners, and designers. It encourages them to embrace autoethnography’s rich opportunities by providing examples across domains (e.g., embodiment or health and wellbeing) to advance our understanding of the complex relationships between humans and technology.

Intensive Care Unit (ICU) professionals have to make lifesaving therapy decisions promptly under high stress and uncertainty. Clinical Decision Support Systems (CDSS) can improve the quality of healthcare by identifying complex statistical connections between patients' parameters and by rapidly presenting the statistically most promising treatment options to physicians. However, HCI aspects are rarely considered when developing CDSSs. This paper describes a field study conducted in three ICUs investigating how physicians and nurses form (volume) therapy decisions and monitor their success. Our findings reveal a continuous decision cycle in which nurses and physicians collaborate synchronously and asynchronously to provide optimal care. Furthermore, the desire to understand how a CDSS generated recommendations varies depending on the user's goals and other contextual factors such as workload. These findings show that CDSSs for ICUs need to (1) specifically facilitate collaboration and (2) support adaptation of the interface to both context and users.