activity
20242026
collaborators

12 papers

cs.CR2026

Who Falls for SMiSh? Learning Through Survey Data Where to Best Target Awareness Training for Mobile Messaging Attacks

Cori Faklaris, Sarah Tabassum, Heather Richter Lipford

As mobile phone adoption has surged, so have scams involving these devices. One such scam, known as SMiShing (or smishing) after Short Message Service (SMS), involves fraudsters se…

cs.LG2026

Learning to model pediatric asthma exacerbation from multiple risk factors: a case study in coastal Virginia

Jonathan Colen, Eric Werner, Maryam Golbazi +6

Childhood asthma is a common illness exacerbated by air pollution as well as meteorological and neighborhood-level socioeconomic factors. Modeling asthma exacerbation (AE) in large…

cs.HC2025

Beyond the Legal Lens: A Sociotechnical Taxonomy of Lived Privacy Incidents and Harms

Kirsten Chapman, Garrett Smith, Kaitlyn Klabacka +8

To understand how privacy incidents lead to harms, HCI researchers have historically leveraged legal frameworks. However, these frameworks expect acute, tangible harms and thus may…

cs.CR2025

The Everyday Security of Living with Conflict

Jessica McClearn, Reem Talhouk, Rikke Bjerg Jensen

When `cyber' is used as a prefix, attention is typically drawn to the technological and spectacular aspects of war and conflict -- and, by extension, security. We offer a different…

cs.AI2025

Proof-of-TBI -- Fine-Tuned Vision Language Model Consortium and OpenAI-o3 Reasoning LLM-Based Medical Diagnosis Support System for Mild Traumatic Brain Injury (TBI) Prediction

Ross Gore, Eranga Bandara, Sachin Shetty +10

Mild Traumatic Brain Injury (TBI) detection presents significant challenges due to the subtle and often ambiguous presentation of symptoms in medical imaging, making accurate diagn…

cs.HC2025

Examining Caregiving Roles to Differentiate the Effects of Using a Mobile App for Community Oversight for Privacy and Security

Mamtaj Akter, Jess Kropczynski, Heather Lipford +1

We conducted a 4-week field study with 101 smartphone users who self-organized into 22 small groups of family, friends, and neighbors to use ``CO-oPS,'' a mobile app for co-managin…