Se‐heon Kim
Biographic Data
| ID | 4418439 |
|---|---|
| NAME | Se‐heon Kim |
| GIVEN NAMES | Se‐heon |
| FAMILY NAME | Kim |
| SIGNATURE | KIM S H |
| AFFILIATIONS | Hanbat National University |
| ORCID | 0009-0003-0456-8867 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
The Effects of Explainability and User Control on Algorithmic Transparency
As algorithms increasingly shape user experiences on digital platforms, concerns have emerged regarding their opacity and potential negative consequences. In response, platforms have introduced transparency features such as algorithm-based recommendation explanations and user control features. However, empirical research on the effects of these approaches and how they vary according to user characteristics remains limited. This study explores the…
Heterogeneity in inter-episode intervals for discretionary activities; covariate-dependent finite mixture models
Even though the importance of considering day-to-day variability in travel demand modeling has long been acknowledged in the field, most state-of-the-art activity-based models still only have a single-day prediction horizon. As such, bias arises from the aggregation to ‘an average’ day. A few which differentiate between days of the week (such as Albatross) still fail to incorporate dependencies between activities conducted in multiple days. Under…
Accommodating (non-)monotonically changing hazards in finite mixture models for the inter-episode duration of discretionary activities
Understanding the dynamics behind inter-episode durations of discretionary activities can lay the groundwork for expanding activity-based models beyond single-day representation to encompass multi-day forecasting. Although the field has long recognized the variability in day-to-day activities, many advanced activity-based models still neglect the interdependencies among activities spanning multiple days. This paper examines the intervals between …
Autonomous vehicle transportation service for people with disabilities
Autonomous vehicle transportation service for people with disabilities
The Effects of Explainability and User Control on Algorithmic Transparency
As algorithms increasingly shape user experiences on digital platforms, concerns have emerged regarding their opacity and potential negative consequences. In response, platforms have introduced transparency features such as algorithm-based recommendation explanations and user control features. However, empirical research on the effects of these approaches and how they vary according to user characteristics remains limited. This study explores the…
Heterogeneity in inter-episode intervals for discretionary activities; covariate-dependent finite mixture models
Even though the importance of considering day-to-day variability in travel demand modeling has long been acknowledged in the field, most state-of-the-art activity-based models still only have a single-day prediction horizon. As such, bias arises from the aggregation to ‘an average’ day. A few which differentiate between days of the week (such as Albatross) still fail to incorporate dependencies between activities conducted in multiple days. Under…
Accommodating (non-)monotonically changing hazards in finite mixture models for the inter-episode duration of discretionary activities
Understanding the dynamics behind inter-episode durations of discretionary activities can lay the groundwork for expanding activity-based models beyond single-day representation to encompass multi-day forecasting. Although the field has long recognized the variability in day-to-day activities, many advanced activity-based models still neglect the interdependencies among activities spanning multiple days. This paper examines the intervals between …
Psychology (3 works) · Bayesian Methods and Mixture Models (2 works) · Computer Science (2 works) · Covariate (2 works) · Fuzzy Systems and Optimization (2 works) · Perception (2 works) · Affect (linguistics (1 work) · Anxiety (1 work) · Artificial Intelligence (1 work) · Baseline (sea) (1 work)