Machine Learning Supported Assisted Travel

机器学习支持的辅助出行

• 批准号: 10059513
• 金额: $ 6.37万
• 依托单位: BIRMINGHAM OPEN MEDIA COMMUNITY INTEREST COMPANY
• 依托单位国家: 英国
• 项目类别: Grant for R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10059513
• 关键词: Machine; Learning; Supported; Assisted; Travel

Travel for work or education is a significant challenge for many people. There are one million young people aged 16 - 24 with anxiety, 3.5 million people with Sensory Processing Disorder and 700,000 who are autistic. Many of these people struggle to fully engage with society due to the difficulties they face on the journeys they must undertake to participate in work and education. BOM has created an app Hidden Kingdoms that uses spatialiszed audio and imaginary three dimensional worlds, where immersive Kingdoms 'mapped' onto travellers' journeys, support them as they experience anxiety or distress during commutes to work, school or college.Testing of the app has revealed a limitation to the approach, and a significant opportunity. The initial overhead required to configure journeys in the app is an inhibitor to app use. Our project aims to reduce this overhead by exploring the possibility of using mobile phone, smartwatch or fitness tracker data to infer emotional state. Mobile devices are capable of capturing a wide range of data from sensors such as GPS, accelerometer or photoplethysmography (PPG) sensors that can be used to determine the traveller's gait (pattern of walking), direction of travel or heart rate. Machine learning approaches can be used to identify patterns in this data that indicate anxiety or distress.Once identified the app can deliver relevant content, such as a friendly animal companion appearing and offering help, an invitation to view the Hidden Kingdom landscape on their phone screen, or therapeutic audio content being played back. The objective is to create an application that responds sensitively and appropriately to users' experience during their journeys, planned or otherwise.

工作或教育旅行对许多人来说是一个重大挑战。有100万16 - 24岁的年轻人患有焦虑症，350万人患有感觉处理障碍，70万人患有自闭症。这些人中的许多人努力充分参与社会，因为他们在参加工作和教育的旅程中面临困难。BOM开发了一款应用程序Hidden Kingdoms，它使用空间化的音频和想象中的三维世界，沉浸式的Kingdoms“映射”到旅行者的旅程中，当他们在上下班、上学或上大学的路上感到焦虑或痛苦时，可以为他们提供支持。对该应用程序的测试显示了这种方法的局限性，也是一个重要的机会。在应用程序中配置旅程所需的初始开销是应用程序使用的抑制剂。我们的项目旨在通过探索使用移动的手机、智能手表或健身追踪器数据来推断情绪状态的可能性来减少这种开销。移动的设备能够从诸如GPS、加速度计或光电体积描记（PPG）传感器之类的传感器捕获广泛的数据，这些数据可以用于确定旅行者的步态（行走模式）、行进方向或心率。机器学习方法可用于识别这些数据中表明焦虑或痛苦的模式。一旦识别出，应用程序就可以提供相关内容，例如友好的动物伴侣出现并提供帮助，邀请他们在手机屏幕上查看隐藏王国景观，或播放治疗音频内容。我们的目标是创建一个应用程序，敏感和适当地响应用户的经验，在他们的旅程，计划或其他。