Appleton Institute, Central Queensland University, Rockhampton, Queensland, Australia.
Department of Sport, Physical Education and Health, Faculty of Social Sciences, Hong Kong Baptist University, Hong Kong, China.
Appl Psychol Health Well Being. 2024 Nov;16(4):2362-2380. doi: 10.1111/aphw.12594. Epub 2024 Sep 13.
Artificially intelligent physical activity digital assistants that use the full spectrum of machine learning capabilities have not yet been developed and examined. This study aimed to explore potential users' perceptions and expectations of using such a digital assistant. Six 90-min online focus group meetings (n = 45 adults) were conducted. Meetings were recorded, transcribed and thematically analysed. Participants embraced the idea of a 'digital assistant' providing physical activity support. Participants indicated they would like to receive notifications from the digital assistant, but did not agree on the number, timing, tone and content of notifications. Likewise, they indicated that the digital assistant's personality and appearance should be customisable. Participants understood the need to provide information to the digital assistant to allow for personalisation, but varied greatly in the extent of information that they were willing to provide. Privacy issues aside, participants embraced the idea of using artificial intelligence or machine learning in return for a more functional and personal digital assistant. In sum, participants were ready for an artificially intelligent physical activity digital assistant but emphasised a need to personalise or customise nearly every feature of the application. This poses challenges in terms of cost and complexity of developing the application.
目前尚未开发和检验出能运用机器学习所有功能的人工智能体力活动数字助理。本研究旨在探索潜在使用者对使用此类数字助理的看法和期望。我们开展了 6 次时长 90 分钟的在线焦点小组会议（n=45 位成年人）。会议全程录音、记录并进行主题分析。参与者认可“数字助理”提供体力活动支持的想法。参与者表示他们希望收到数字助理的通知，但对通知的数量、时间、语气和内容未达成一致。同样，他们表示数字助理的个性和外观应该是可定制的。参与者理解需要向数字助理提供信息以实现个性化，但他们愿意提供的信息范围相差很大。除隐私问题外，参与者赞成在人工智能或机器学习方面进行投资，以换取功能更强大且更个性化的数字助理。总之，参与者已经准备好使用人工智能体力活动数字助理，但强调需要对应用程序的几乎每个功能进行个性化或定制。这在开发应用程序的成本和复杂性方面带来了挑战。
