I examine how interactive systems shape communication, privacy decisions, and people’s ability to participate on their own terms.
Research / Human–Computer Interaction
Research grounded in context.
I study how people interpret and experience technology, with a particular focus on conversational AI, privacy, accessibility, and cross-cultural communication.
Technology can miss the cultural and personal context people bring to an interaction. I want to understand where those gaps appear and who is most affected.
I use mixed-methods HCI research, qualitative coding, thematic analysis, and cultural theory to connect system behavior with lived experience.
Questions I return to
Three threads connecting the work.
Where does meaning get lost?
Cultural expectations can shape how people interpret directness, politeness, silence, and intent. Understanding these differences is a starting point for designing communication support.
What could a chatbot contribute?
A conversational system might offer alternative interpretations or help someone reconsider a message. The design question is how to offer that support without presenting cultural assumptions as facts.
What would better understanding look like?
A smoother exchange does not necessarily mean that people understand each other. Evaluation needs to consider the people involved and what they want from the conversation.
Selected work
Research in progress and in print.
Chatbots for cross-cultural communication
A mixed-methods investigation of how large language models might help detect or mitigate intercultural misunderstandings.
PRISM
A scenario-driven social-media privacy education program designed for young autistic adults.
Persuasiveness of Conversational Agents for Targeted Advertising
Research on autism, generative-AI chatbots, and vulnerability to persuasive advertising.