Kenan Bektaş
Biographic Data
| ID | 6746663 |
|---|---|
| NAME | Kenan Bektaş |
| GIVEN NAMES | Kenan |
| FAMILY NAME | Bektaş |
| SIGNATURE | BEKTAŞ K |
| AFFILIATIONS | University of Zurich |
| ORCID | 0000-0003-2937-0542 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Legally compliant personalised prioritisation of privacy policy information shows no effect on user engagement, comprehension, or workload
Privacy policies function as both legal documents and information sources for users, but their length and complexity often discourage engagement. In this paper, we investigate whether a personalised approach can address this issue by prioritising information that concerns individual users most while maintaining a policy’s legal compliance on disclosure. We first explored whether personal characteristics can be used to predict a person’s most conc…
Measured and perceived visual complexity
We present a study on human perception of map complexity, with the objective of better understanding design decisions that may lead to undesirable levels of complexity in web maps. We compare three complexity metrics to human ratings of complexity obtained through a user survey. Specifically, we use two algorithmic approaches published by others, which measure feature congestion (FC) and subband entropy (SE), as well as our own approach of counti…
Measured and perceived visual complexity
We present a study on human perception of map complexity, with the objective of better understanding design decisions that may lead to undesirable levels of complexity in web maps. We compare three complexity metrics to human ratings of complexity obtained through a user survey. Specifically, we use two algorithmic approaches published by others, which measure feature congestion (FC) and subband entropy (SE), as well as our own approach of counti…
Measured and perceived visual complexity
We present a study on human perception of map complexity, with the objective of better understanding design decisions that may lead to undesirable levels of complexity in web maps. We compare three complexity metrics to human ratings of complexity obtained through a user survey. Specifically, we use two algorithmic approaches published by others, which measure feature congestion (FC) and subband entropy (SE), as well as our own approach of counti…
Legally compliant personalised prioritisation of privacy policy information shows no effect on user engagement, comprehension, or workload
Privacy policies function as both legal documents and information sources for users, but their length and complexity often discourage engagement. In this paper, we investigate whether a personalised approach can address this issue by prioritising information that concerns individual users most while maintaining a policy’s legal compliance on disclosure. We first explored whether personal characteristics can be used to predict a person’s most conc…
Artificial Intelligence (1 work) · Behavioral Health and Interventions (1 work) · Categorization, perception, and language (1 work) · Computer Science (1 work) · Confidentiality (1 work) · Data mining (1 work) · Data science (1 work) · Entropy (arrow of time (1 work) · Ethics and Social Impacts of AI (1 work) · Geographic Information Systems Studies (1 work)