Can we say a cat is a cat? Understanding the challenges in annotating physiological signal-based emotion data
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866914843685027840 |
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| author | Singh, Pragya Kumar, Mohan Singh, Pushpendra |
| author_facet | Singh, Pragya Kumar, Mohan Singh, Pushpendra |
| contents | Artificial Intelligence (AI) algorithms, trained on emotion data extracted from physiological signals, provide a promising approach to monitoring emotions, affect, and mental well-being. However, the field encounters challenges because there is a lack of effective methods for collecting high-quality data in everyday settings that genuinely reflect changes in emotion or affect. This paper presents a position discussion on the current technique of annotating physiological signal-based emotion data. Our discourse underscores the importance of adopting a nuanced understanding of annotation processes, paving the way for a more insightful exploration of the intricate relationship between physiological signals and human emotions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_14908 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Can we say a cat is a cat? Understanding the challenges in annotating physiological signal-based emotion data Singh, Pragya Kumar, Mohan Singh, Pushpendra Human-Computer Interaction Artificial Intelligence (AI) algorithms, trained on emotion data extracted from physiological signals, provide a promising approach to monitoring emotions, affect, and mental well-being. However, the field encounters challenges because there is a lack of effective methods for collecting high-quality data in everyday settings that genuinely reflect changes in emotion or affect. This paper presents a position discussion on the current technique of annotating physiological signal-based emotion data. Our discourse underscores the importance of adopting a nuanced understanding of annotation processes, paving the way for a more insightful exploration of the intricate relationship between physiological signals and human emotions. |
| title | Can we say a cat is a cat? Understanding the challenges in annotating physiological signal-based emotion data |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2406.14908 |