Lu Media reported that several mainland companies have begun to adopt a "sensing cap" that monitors employee sentiment and that the company has said that the sensing cap has improved the company's benefits, but a professor of biology at the University of California, Santa Barbara. Barry Giesbrecht, director of research at AttenTIon, said that the sensor cap may not be as effective as the business owners said.
Several companies have indicated that brainwave sensors have been installed in uniform caps or factory helmets to detect emotions such as depression, anxiety or anger, and to capture electronic signals and transmit them to algorithms. Algorithms can analyze different data and interpret employees. Emotional state.
According to the enterprises and scientists involved in the project, there is central government funding support behind this sensor cap. The companies that have been used include Hangzhou Zhongheng Electric, State Grid Zhejiang Electric Power, etc. Zhejiang Electric Power even stated that since 2014, let Since its 40,000 employees used the sensor cap, revenues grew by $315 million, but did not reveal more details.
The director of Ningbo Shenyang Logistics Company pointed out that they mainly use the sensing cap to train new employees. When the virtual reality (VR) is integrated, it is equivalent to raising the working environment to different realms, which can greatly reduce the mistakes made by employees because they can Promote mutual understanding between employees and companies, and estimate that the sensing cap has increased the company's revenue by $140 million over the past two years.
Giesbrecht said that it is not only the mainland that is trying this technology. In fact, many research institutes, new ventures or the US military have similar plans, but there are still huge obstacles. The electronic records of sensor records are very numerous and may not be able to Accurately interpret employees' psychological emotions.
The signal read by the sensor cap must be interpreted by an electroencephalogram (EEG). The EEG is connected to the electrode on the scalp to record the weak electronic signal emitted by the brain neurons, so that the pattern of brain activity can determine whether a person is in an abnormal state. However, the sensor not only records brain activity, but also records any physiologically slight electronic signals, so actions such as blinking, biting, and squatting can lead to erroneous interpretation.
Although in the experiment, the researcher can train the algorithm to let the algorithm know that the signal released by blink or small motion is useless, it will be more difficult to train thousands of employees on a large scale. Furthermore, EEG must use a "wet" sensor made of gel, but the hat itself is hard, and the hard sensor is more susceptible to unwanted noise.
Giesbrecht said that the method of interpreting EEG data by algorithm is not perfect. People don't have enough knowledge to accurately classify the emotional category of a brain activity model, but it is still difficult to meet the current technology. Perfect interpretation, if you don't talk about technology, the sensor cap has caused moral problems.
Is the sensory cap really reading the employee's abnormal emotions, or is the production line employee obeying because of fear? Companies should first worry about whether they will violate privacy rights, rather than sensing whether the cap can be correctly interpreted.
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