Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/29765| Title: | RankTrace : relative and unbounded affect annotation |
| Authors: | Lopes, Phil Yannakakis, Georgios N. Liapis, Antonios |
| Keywords: | Human-computer interaction Galvanic skin response Computer games -- Physiological aspects Computer games -- Psychological aspects |
| Issue Date: | 2017-10 |
| Publisher: | Institute of Electrical and Electronics Engineers Inc. |
| Citation: | Lopes, P., Yannakakis, G. N., & Liapis, A. (2017). RankTrace : relative and unbounded affect annotation. Seventh International Conference on Affective Computing and Intelligent Interaction (ACII) IEEE, San Antonio. |
| Abstract: | How should annotation data be processed so that it can best characterize the ground truth of affect? This paper attempts to address this critical question by testing various methods of processing annotation data on their ability to capture phasic elements of skin conductance. Towards this goal the paper introduces a new affect annotation tool, RankTrace, that allows for the annotation of affect in a continuous yet unbounded fashion. RankTrace is tested on first-person annotation lines (traces) of tension elicited from a horror video game. The key findings of the paper suggest that the relative processing of traces via their mean gradient yields the best and most robust predictors of phasic manifestations of skin conductance. |
| URI: | https://www.um.edu.mt/library/oar//handle/123456789/29765 |
| Appears in Collections: | Scholarly Works - InsDG |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| RankTrace_relative_and_unbounded_affect_annotation_2017.pdf | 1.23 MB | Adobe PDF | View/Open |
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