Metrics for Time-to-Event Prediction of Gaze Events
| Title: | Metrics for Time-to-Event Prediction of Gaze Events |
|---|---|
| Authors: | Rolff, T. (Tim); Stein, N. (Niklas); Lappe, M. (Markus); Steinicke, F. (Frank); Frintrop, S. (Simone) |
| Contributors: | Universitäts- und Landesbibliothek Münster |
| Publication Year: | 2024 |
| Collection: | Münster University (WWU): miami |
| Subject Terms: | time-to-saccade prediction; gaze classification; time-to-event; metrics; ddc:005; info:eu-repo/classification/ddc/005; Computer programming; programs; data; ddc:150; info:eu-repo/classification/ddc/150; Psychology; ddc:006; info:eu-repo/classification/ddc/006; Special computer methods |
| Description: | In this paper, we explore metrics for the evaluation of time-to-saccade problems. We define a new sampling strategy that takes the temporal nature of gaze data and time-to-saccade problems into account, avoiding samples of the same event in different datasets. This allows us to define novel error metrics for a more intuitive evaluation of predicted durations. The metrics are defined to evaluate the consistency of a predictor and the evaluation of the error over time. We evaluate our method using a state-of-the-art method for time-to-saccade prediction along with an average baseline on three different datasets. |
| Document Type: | report |
| File Description: | application/pdf |
| Language: | English |
| Relation: | info:eu-repo/semantics/reference/url/https://openreview.net/forum?id=snClL0drE-A |
| DOI: | 10.17879/86928543531 |
| Availability: | https://nbn-resolving.org/urn:nbn:de:hbz:6-86928543388; https://doi.org/10.17879/86928543531; https://miami.uni-muenster.de/Record/3ec0af7a-d994-4981-bffd-065610469e0d; https://repositorium.uni-muenster.de/transfer/miami/3ec0af7a-d994-4981-bffd-065610469e0d |
| Rights: | CC BY 4.0 ; info:eu-repo/semantics/openAccess |
| Accession Number: | edsbas.E6CDC34A |
| Database: | BASE |