"I think you need help! Here's why": Understanding the Effect of Explanations on Automatic Facial Expression Recognition
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866909347478503424 |
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| author | Nahulanthran, Sanjeev Vered, Mor Tian, Leimin Kulić, Dana |
| author_facet | Nahulanthran, Sanjeev Vered, Mor Tian, Leimin Kulić, Dana |
| contents | Facial expression recognition (FER) has emerged as a promising approach to the development of emotion-aware intelligent systems. The performance of FER in multiple domains is continuously being improved, especially through advancements in data-driven learning approaches. However, a key challenge remains in utilizing FER in real-world contexts, namely ensuring user understanding of these systems and establishing a suitable level of user trust towards this technology. We conducted an empirical user study to investigate how explanations of FER can improve trust, understanding and performance in a human-computer interaction task that uses FER to trigger helpful hints during a navigation game. Our results showed that users provided with explanations of the FER system demonstrated improved control in using the system to their advantage, leading to a significant improvement in their understanding of the system, reduced collisions in the navigation game, as well as increased trust towards the system. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_09743 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | "I think you need help! Here's why": Understanding the Effect of Explanations on Automatic Facial Expression Recognition Nahulanthran, Sanjeev Vered, Mor Tian, Leimin Kulić, Dana Human-Computer Interaction Facial expression recognition (FER) has emerged as a promising approach to the development of emotion-aware intelligent systems. The performance of FER in multiple domains is continuously being improved, especially through advancements in data-driven learning approaches. However, a key challenge remains in utilizing FER in real-world contexts, namely ensuring user understanding of these systems and establishing a suitable level of user trust towards this technology. We conducted an empirical user study to investigate how explanations of FER can improve trust, understanding and performance in a human-computer interaction task that uses FER to trigger helpful hints during a navigation game. Our results showed that users provided with explanations of the FER system demonstrated improved control in using the system to their advantage, leading to a significant improvement in their understanding of the system, reduced collisions in the navigation game, as well as increased trust towards the system. |
| title | "I think you need help! Here's why": Understanding the Effect of Explanations on Automatic Facial Expression Recognition |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2410.09743 |