Jesan Ahammed Ovi | Searcharxiv

arXiv2026

SPIRIT: A Design Framework To Support Technology Interventions for Spiritual Care Within and Beyond the Clinic

Despite its importance for well-being, spiritual care remains under-explored in HCI, while the adoption of technology in clinical spiritual care lags behind other healthcare fields. Prior work derived a definition of "spiritual support" through co-design workshops with stakeholders in online health communities. This paper contributes: (1) a revision of that definition through member checking with professional spiritual care providers (SCPs); (2) a novel design framework -- SPIRIT -- which can help to expand models of delivery for spiritual care using digital technologies. Through re-analysis of previous data and new interviews with SCPs, we identify three prerequisites for meaningful spiritual care: openness to care, safe space, and the ability to discern and articulate spiritual needs. We also propose six design dimensions: loving presence, meaning-making, appropriate degree of technology use, location, degree of relational closeness, and temporality. We discuss how SPIRIT offers guidance for designing impactful digital spiritual care intervention systems within and beyond clinical settings.

cs.HC↗

arXiv2025

Assessing Student Adoption of Generative Artificial Intelligence across Engineering Education from 2023 to 2024

Generative Artificial Intelligence (GenAI) tools and models have the potential to re-shape educational needs, norms, practices, and policies in all sectors of engineering education. Empirical data, rather than anecdata and assumptions, on how engineering students have adopted GenAI is essential to developing a foundational understanding of students' GenAI-related behaviors and needs during academic training. This data will also help formulate effective responses to GenAI by both academic institutions and industrial employers. We collected two representative survey samples at the Colorado School of Mines, a small engineering-focused R-1 university in the USA, in May 2023 ($n_1=601$) and September 2024 ($n_2=862$) to address research questions related to (RQ1) how GenAI has been adopted by engineering students, including motivational and demographic factors contributing to GenAI use, (RQ2) students' ethical concerns about GenAI, and (RQ3) students' perceived benefits v.s. harms for themselves, science, and society. Analysis revealed a statistically significant rise in GenAI adoption rates from 2023 to 2024. Students predominantly leverage GenAI tools to deepen understanding, enhance work quality, and stay informed about emerging technologies. Although most students assess their own usage of GenAI as ethical and beneficial, they nonetheless expressed significant concerns regarding GenAI and its impacts on society. We collected student estimates of ``P(doom)'' and discovered a bimodal distribution. Thus, we show that the student body at Mines is polarized with respect to future impacts of GenAI on the engineering workforce and society, despite being increasingly willing to explore GenAI over time. We discuss implications of these findings for future research and for integrating GenAI in engineering education.

cs.HC↗