Adrianna Deptula’s research while affiliated with Purdue University West Lafayette and other places

This study investigates how chronic pain is represented in widely used pain assessment scales. Through a thematic analysis, four overarching themes are identified: pain is framed as a linear continuum, depicted as a progressive bodily obstacle, normalized to a baseline of zero, and characterized as a predictable condition. The design of these scales oversimplifies the complexities of chronic pain into a linear narrative that can potentially marginalize patient experiences and lead to treatment delays. This research advocates for a shift toward patient experience design (PXD) to develop more nuanced, human-centered assessment tools that better capture the fluidity of chronicity.

This article examines issues of authenticity involved in using generative AI to compose technical and professional communication (TPC) documents. Authenticity is defined through an Aristotelian understanding of ethos, which includes goodwill ( eunoia), practical wisdom ( phronesis), virtuousness ( arete), and Fromm's concepts of true self and pseudo self. The authors conducted an initial analysis of AI affordances that align with TPC concerns—genre, plain language, and grammatical/mechanical correctness. The preliminary results show that these affordances may be limited by issues of inauthenticity. The authors suggest that in order to address AI's limitations, writers should adopt a rhetoric of authenticity via real-world engagement, human centeredness, and personal style.