Concept Design for Inclusive and Engaging Augmented Reality Assisted Disaster Prevention Guidelines

• Item type: Symposium(1)
• 公開日: 2022-10-17
• タイトル: Concept Design for Inclusive and Engaging Augmented Reality Assisted Disaster Prevention Guidelines
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: user interface, disaster prevention, augmented reality, object detection models
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_5794
• 資源タイプ: conference paper
• 著者所属: Nara Institute of Science and Technology
• 著者所属: Nara Institute of Science and Technology
• 著者所属: Nara Institute of Science and Technology
• 著者所属(英): en
• 著者所属(英): Nara Institute of Science and Technology
• 著者所属(英): en
• 著者所属(英): Nara Institute of Science and Technology
• 著者所属(英): en
• 著者所属(英): Nara Institute of Science and Technology
• 著者名: De, Leon Aguilar Sergio; Matsuda, Yuki; Yasumoto, Keiichi
• 著者名(英): De, Leon Aguilar Sergio; Matsuda, Yuki; Yasumoto, Keiichi
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Disaster prevention guidelines are media aimed at the general public, that provide instructions to create safer environments and improve people’s attitude during disasters, through graphics and easy to understand language. Previous work has documented that the citizenry usually do not read them or follow their advice, specifically, in cases when a user considers them hard to follow. Research in educational contexts have found Augmented Reality (AR) technologies to be effective in capturing students’ attention. While in industrial contexts, AR technologies have been able to significantly reduce mistakes while workers follow instructions for maintenance processes. To increase public participation in disaster prevention activities, and produce better results while following its guidelines, this paper proposes a novel AR-assisted disaster prevention guideline interface design. Consisting of a simplified checklist interface; with gamification elements to provide an easier-to-follow and more engaging guideline. Furthermore, a machine learning object detection model is used to reduce the subjective judgment of the user while recognizing the targets of interest of guidelines’ instructions. Our work contributes new insight into the practical performance of AR and object recognition models, and what they are able to achieve under the restrictions of commercial mobile platforms. Also, since this targets a broad demographic, from young to elder adults, this interface also will able to survey the effectiveness of accessibility design and gamification features in AR application interfaces from an approach applicable to multidisciplinary contexts.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Disaster prevention guidelines are media aimed at the general public, that provide instructions to create safer environments and improve people’s attitude during disasters, through graphics and easy to understand language. Previous work has documented that the citizenry usually do not read them or follow their advice, specifically, in cases when a user considers them hard to follow. Research in educational contexts have found Augmented Reality (AR) technologies to be effective in capturing students’ attention. While in industrial contexts, AR technologies have been able to significantly reduce mistakes while workers follow instructions for maintenance processes. To increase public participation in disaster prevention activities, and produce better results while following its guidelines, this paper proposes a novel AR-assisted disaster prevention guideline interface design. Consisting of a simplified checklist interface; with gamification elements to provide an easier-to-follow and more engaging guideline. Furthermore, a machine learning object detection model is used to reduce the subjective judgment of the user while recognizing the targets of interest of guidelines’ instructions. Our work contributes new insight into the practical performance of AR and object recognition models, and what they are able to achieve under the restrictions of commercial mobile platforms. Also, since this targets a broad demographic, from young to elder adults, this interface also will able to survey the effectiveness of accessibility design and gamification features in AR application interfaces from an approach applicable to multidisciplinary contexts.
• 書誌情報: 第30回マルチメディア通信と分散処理ワークショップ論文集; p. 181-185, 発行日 2022-10-17
• 出版者 / 言語: ja
• 出版者: 情報処理学会