Encouraging accessible conversations using sound scene monitoring and IoT-based nudging

使用声音场景监控和基于物联网的推动来鼓励无障碍对话

• 批准号: ES/X006131/1
• 负责人: Alastair Moore
• 金额: $ 6.4万
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FX006131%2F1
• 关键词: Encouraging; accessible; conversations; using; sound

The impact of hearing loss can be devastating, both for the individual and their family and friends. Hearing aids can help by amplifying quiet sounds enough to be heard, which works well for watching TV and having a one-to-one conversation in a quiet place. However, many everyday environments are inherently noisy. Hearing aid technology is advancing all the time, but it is not yet sufficient to solve the "speech-in-noise" problem. Struggling to follow a group conversation in a café or restaurant is frustrating and leads to a sense of social exclusion. This can often result in an individual opting out of social situations altogether, causing isolation, loneliness and even accelerating the onset of dementia.The project aims to develop technology-assisted strategies which will help hearing impaired people to fully participate in group conversations. The difficulty of hearing well in a listening situation is affected by several factors, including the acoustics of the room, the locations of noise sources, the spatial configuration of the conversation participants and their group dynamics. The project will create easy-to-use tools which enable anyone to choose a good venue, sit in the best seat and provide real-time assistance to the group to help them talk in a manner which is accessible to the hearing-impaired person.The project will exploit recent advances in machine learning and readily-available Internet-of-Things devices to understand sound scenes. Through user engagement and rapid design iterations it will develop appropriate "nudge" interventions which subtly guide the conversation participants to adopt more inclusive behaviour.

听力损失的影响对于个人及其家人和朋友来说都是毁灭性的，助听器可以通过放大足够小的声音来提供帮助，这对于看电视和在安静的情况下进行一对一交谈非常有效。然而，许多日常环境本质上都是嘈杂的，助听器技术一直在进步，但还不足以解决咖啡馆或餐厅中的“噪音中的语音”问题。令人沮丧和领导这通常会导致个人选择完全退出社交场合，从而导致孤立、孤独，甚至加速痴呆症的发病。该项目旨在开发技术辅助策略，帮助听力受损的人充分了解自己的情况。参与小组对话。在聆听环境中听清楚的难度受到多种因素的影响，包括房间的声学效果、噪声源的位置、对话参与者的空间配置及其小组动态。 -使用任何人都可以选择好的场地的工具，坐在最好的座位上，为小组提供实时帮助，帮助他们以听力障碍者可以理解的方式进行交谈。该项目将利用机器学习和现成的物联网设备的最新进展通过用户参与和快速设计迭代，它将开发适当的“推动”干预措施，巧妙地引导对话参与者采取更具包容性的行为。