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Background <p>Emotional responses of a single individual or a group (team) of inter-connected individuals can be viewed as a multi-dimensional nonlinear dynamic system, continuously developing in time, rather than just a discretized catalogue of scenarios. Emotional dynamics encompasses theoretical, experiential and physiological qualitative aspects. Emotions can be conceptualized as physiological, perceptual, and behavioral reactions to certain personally relevant circumstances within the consensual, multi-componential paradigm.</p> New method <p>Current investigation regards the human emotional dynamic system as affected by various kinds of emotion-evoking stimuli (covariates), linked to consistent and distinct human response patterns, as well as how those response trajectories can be quantified.</p> Results <p>This case study explores multi-modal relationships between measured bio-signals + correlated emotion expressions by employing professional actors. The latter facilitated the investigation of intrinsic physiological multi-modal patterns. Current research advocates a state-of-art hypersurface multi-variate human reliability approach, that can contribute to e.g., human error diagnostics, Health, Safety &amp; Environment (HSE) studies within a wide range of industries, affected by human-related (emotional) risks.</p> Comparison with existing methods <p>Advocated method outperforms existing reliability methods as it is able to treat systems with dimensionality above 2.</p> Conclusions <p>The presented multi-modal hypersurface reliability methodology possesses a generic nature, thus it is not limited to the specific case, presented in this case study.</p>

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Human collective emotional excess by novel Gaidai hypersurface risk prognostics methodology

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年5月20日

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  • Oleg Gaidai,
  • Shicheng He,
  • Jiayao Sun,
  • Jinlu Sheng

摘要

Background

Emotional responses of a single individual or a group (team) of inter-connected individuals can be viewed as a multi-dimensional nonlinear dynamic system, continuously developing in time, rather than just a discretized catalogue of scenarios. Emotional dynamics encompasses theoretical, experiential and physiological qualitative aspects. Emotions can be conceptualized as physiological, perceptual, and behavioral reactions to certain personally relevant circumstances within the consensual, multi-componential paradigm.

New method

Current investigation regards the human emotional dynamic system as affected by various kinds of emotion-evoking stimuli (covariates), linked to consistent and distinct human response patterns, as well as how those response trajectories can be quantified.

Results

This case study explores multi-modal relationships between measured bio-signals + correlated emotion expressions by employing professional actors. The latter facilitated the investigation of intrinsic physiological multi-modal patterns. Current research advocates a state-of-art hypersurface multi-variate human reliability approach, that can contribute to e.g., human error diagnostics, Health, Safety & Environment (HSE) studies within a wide range of industries, affected by human-related (emotional) risks.

Comparison with existing methods

Advocated method outperforms existing reliability methods as it is able to treat systems with dimensionality above 2.

Conclusions

The presented multi-modal hypersurface reliability methodology possesses a generic nature, thus it is not limited to the specific case, presented in this case study.