Technical Understanding from IML Hands-on Experience: A Study through a Public Event for Science Museum Visitors
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2023
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| _version_ | 1866913240584290304 |
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| author | Kawabe, Wataru Nakao, Yuri Shitara, Akihisa Sugano, Yusuke |
| author_facet | Kawabe, Wataru Nakao, Yuri Shitara, Akihisa Sugano, Yusuke |
| contents | While AI technology is becoming increasingly prevalent in our daily lives, the comprehension of machine learning (ML) among non-experts remains limited. Interactive machine learning (IML) has the potential to serve as a tool for end users, but many existing IML systems are designed for users with a certain level of expertise. Consequently, it remains unclear whether IML experiences can enhance the comprehension of ordinary users. In this study, we conducted a public event using an IML system to assess whether participants could gain technical comprehension through hands-on IML experiences. We implemented an interactive sound classification system featuring visualization of internal feature representation and invited visitors at a science museum to freely interact with it. By analyzing user behavior and questionnaire responses, we discuss the potential and limitations of IML systems as a tool for promoting technical comprehension among non-experts. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2305_05846 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Technical Understanding from IML Hands-on Experience: A Study through a Public Event for Science Museum Visitors Kawabe, Wataru Nakao, Yuri Shitara, Akihisa Sugano, Yusuke Human-Computer Interaction While AI technology is becoming increasingly prevalent in our daily lives, the comprehension of machine learning (ML) among non-experts remains limited. Interactive machine learning (IML) has the potential to serve as a tool for end users, but many existing IML systems are designed for users with a certain level of expertise. Consequently, it remains unclear whether IML experiences can enhance the comprehension of ordinary users. In this study, we conducted a public event using an IML system to assess whether participants could gain technical comprehension through hands-on IML experiences. We implemented an interactive sound classification system featuring visualization of internal feature representation and invited visitors at a science museum to freely interact with it. By analyzing user behavior and questionnaire responses, we discuss the potential and limitations of IML systems as a tool for promoting technical comprehension among non-experts. |
| title | Technical Understanding from IML Hands-on Experience: A Study through a Public Event for Science Museum Visitors |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2305.05846 |