All Outputs (3)

How does explainability affect perceived transparency, trust, acceptance and usefulness? (2024)
Conference Proceeding
Ding, Y., & Hermawati, S. (2024). How does explainability affect perceived transparency, trust, acceptance and usefulness?.

The effects of explainability on perceived trust, transparency, acceptance and usefulness were explored in a within subjects study (n=15) using an online shopping recommender system as a context. The study investigated three levels of explainability... Read More about How does explainability affect perceived transparency, trust, acceptance and usefulness?.

Supporting Domain Characterization in Visualization Design Studies With the Critical Decision Method (2022)
Conference Proceeding
Cibulski, L., Dimara, E., Hermawati, S., & Kohlhammer, J. (2022). Supporting Domain Characterization in Visualization Design Studies With the Critical Decision Method. . https://doi.org/10.1109/VisGuides57787.2022.00007

While domain characterization has become an integral part of visualization design studies, methodological prescriptions are rare. An underrepresented aspect in existing approaches is domain expertise. Knowledge elicitation methods from cognitive scie... Read More about Supporting Domain Characterization in Visualization Design Studies With the Critical Decision Method.

Towards Using the Critical Decision Method for Studying Visualisation-Based Decision-Making (2021)
Conference Proceeding
Hermawati, S., Cibulski, L., & Lawson, G. (2021). Towards Using the Critical Decision Method for Studying Visualisation-Based Decision-Making

Visualisations provide significant support for effective reasoning and decision-making processes. Its value mainly lies in its ability to turn raw data into actionable insights that lead to a decision. This requires appropriate visual representations... Read More about Towards Using the Critical Decision Method for Studying Visualisation-Based Decision-Making.