Table 3.

Types of BDSP.

Classification standard	Classification item	Explanations and examples
Psychological structure	Implicit BDSP	Implicit BDSP refer to the data sets that directly reflect safety psychological states of the worker, mainly composed of structured data, for example, blood pressure, heart rate, response time, fatigue, sensory, and other parameter data.
	Explicit BDSP	Explicit BDSP refer to the data sets that indirectly reflect safety psychological states of the worker, mainly composed of unstructured data, for example, behavioral photos, workplace video, and conversation audio.
Study object	Individual BDSP	Individual BDSP refer to the data sets related to individual psychological states, such as individual data of act, facial expressions and psychological indicators.
	Group BDSP	Group BDSP refer to the data sets related to group psychological states, such as job group data of blasters, transporters and miners.
	Industrial BDSP	Industrial BDSP refer to the data sets related to industrial psychological states, such as industrial data of chemical and mining industry.
Study area	Theatrical BDSP	Theatrical BDSP refer to the theoretical basis for the principles, laws, characteristics and methods of BDSP, such as the concept and rule of BDSP.
	Application BDSP	Application BDSP refer to the applied activity for the interpretation, prediction, intervention and management of BDSP, such as enterprise optimize employee work schedules based on excavating psychological relevance insights.
Study content	Factor-related BDSP	Factor-related BDSP refer to the data sets that can reveal the relationship between psychological factors (e.g., age, personality, experience) and the risk, for example, a large quantity of data in Twitter are analyzed to conclude the knowledge and rule of fatigue, mood, and attention, which can be applied in safety activities to interfere collective climate of unsafety.
	Countermeasures-related BDSP	Countermeasures-related BDSP refer to the data sets that can reveal psychological countermeasure prevent the risk. For example, machine design needs to analyze a large amount of data to satisfy the requirement of engineering psychology.
Update speed	Static BDSP	Raw data of static BDSP are updated slowly, such as psychological data manually collected by companies, institutions and organizations.
	Dynamic BDSP	Raw data of dynamic BDSP are updated real-time, such as automatic psychological data acquisition from sensor, Internet and smart device.
System boundary	Self-system BDSP	Self-system BDSP refer to the data sets that are obtained from psychological activities and behaviors of the individuals and groups, such as assessment data of employee psychological state.
	Other-system BDSP	Other-system BDSP refer to the data sets that are obtained from the impact external environment on psychological states, such as temperature, humidity, temperature and lighting.
Risk situation	High-risk BDSP	High-risk BDSP refer to the data sets that are obtained from industries with high-risk factors or high accident rate (e.g., mining industry, construction industry and chemical industry), which excavating psychological relevance insights for high-risk industry.
	Non-high-risk BDSP	Non-high-risk BDSP refer to the data sets that are obtained from industries with non-high-risk factors or relatively low accident rate (e.g., manufacturing industry and service industry), which excavating psychological relevance insights for non-high-risk industry.