Martina Mara

schoolJohannes Kepler Universitybar_chart#2840 Global Rank

Total Papers

HCI Rank

#2840

Research Areas

Years Active

Recent Publications

Framing 'Collaboration': How Human-Human Principles Translate into Human-AI Realities

The recent advancement of AI has shifted terminology: humans "use" computers but "collaborate with" AI. This anthropomorphic framing shapes expectations of system capabilities. Despite the large body of research adopting "human-AI collaboration" as a term, there seems to be little consensus on a definition of the conc…

CHI '261st AuthorAgent Personality & Anthropomorphism +2

Beyond Disposition: AI Knowledge Predicts Anthropomorphization of a Language Model Better Than Personality Traits in Lay and Expert Populations

Anthropomorphizing Artificial Intelligence (AI), i.e., ascribing human-like mind or emotions to it, is widespread but varies across individuals. We tested three proposed dispositional predictors of anthropomorphism (need for cognition, need for structure, loneliness) in a general population (N = 307) and an AI expert…

CHI '26CorrespondingForce Feedback & Pseudo-Haptic Weight +2

What Users Like and Don’t Like About Occupational Exoskeletons: Experiences and Implications From a Focus Group Study

Occupational exoskeletons are designed to support workers in strenuous tasks and to promote health, yet their implementation and use often present challenges due to the close interaction between wearer and device. This study explored user perceptions of occupational exoskeletons through qualitative focus groups conduc…

CHI '232nd AuthorAI Ethics, Fairness & Accountability +1

Show me a "Male Nurse"! How Gender Bias is Reflected in the Query Formulation of Search Engine Users

Biases in algorithmic systems have led to discrimination against historically disadvantaged groups, including the reinforcement of outdated gender stereotypes. While a substantial body of research addresses biases in algorithms and underlying data, in this work, we study if and how users themselves reflect these bias…

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