Uber has submitted a patent for a feature that uses artificial intelligence to detect if its customers are drunk, simply by the way they use their smartphone.
近日,优步公司提交了一项专利申请,该专利的功能仅仅是通过用户使用智能手机的方式,采用人工智能手段来检测客户是否喝醉。
The 'Predicting User State Using Machine Learning' patent aims to identify people in an "abnormal state" from factors including number of typos made, walking speed, and who precisely1 a customer clicks on buttons and links on their phones.
这项“评估使用手机时用户的状态”的专利,旨在通过包括拼写错误的量、行走速度以及界面交互行为等因素,来识别这些处于“异常状态”的人。
"The user behaviour may be compared against the user's prior2 behaviour to determine differences in the user behaviour for this request and normal behaviour of prior requests," the patent states.
该专利申明:“通过将用户行为与用户先前的行为进行比较,我们会评估用户在使用手机叫车时与正常状态下的差异。”
"The system can alter the parameters3 of a service based on the prediction about the state of the user requesting the service."
“系统可以根据请求服务的用户状态对服务进行调整。”
This means that Uber drivers could theoretically refuse to accept passengers deemed to be in an inebriated4 state.
这就意味着,优步司机理论上可以拒绝接受这些被视为处于醉酒状态的乘客。
1 precisely [prɪˈsaɪsli] 第8级 | |
adv.恰好,正好,精确地,细致地 | |
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2 prior [ˈpraɪə(r)] 第7级 | |
adj.更重要的,较早的,在先的;adv.居先;n.小修道院院长;大修道院副院长 | |
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3 parameters [pə'ræmɪtəz] 第7级 | |
因素,特征; 界限; (限定性的)因素( parameter的名词复数 ); 参量; 参项; 决定因素 | |
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4 inebriated [ɪˈni:brieɪtɪd] 第12级 | |
adj.酒醉的 | |
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