Cosic Kresimir, Kopilas Vanja, Jovanovic Tanja
Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia.
University of Zagreb Faculty of Croatian Studies, Zagreb, Croatia.
Front Psychol. 2024 Aug 2;15:1394045. doi: 10.3389/fpsyg.2024.1394045. eCollection 2024.
During the war time dysregulation of negative emotions such as fear, anger, hatred, frustration, sadness, humiliation, and hopelessness can overrule normal societal values, culture, and endanger global peace and security, and mental health in affected societies. Therefore, it is understandable that the range and power of negative emotions may play important roles in consideration of human behavior in any armed conflict. The estimation and assessment of dominant negative emotions during war time are crucial but are challenged by the complexity of emotions' neuro-psycho-physiology. Currently available natural language processing (NLP) tools have comprehensive computational methods to analyze and understand the emotional content of related textual data in war-inflicted societies. Innovative AI-driven technologies incorporating machine learning, neuro-linguistic programming, cloud infrastructure, and novel digital therapeutic tools and applications present an immense potential to enhance mental health care worldwide. This advancement could make mental health services more cost-effective and readily accessible. Due to the inadequate number of psychiatrists and limited psychiatric resources in coping with mental health consequences of war and traumas, new digital therapeutic wearable devices supported by AI tools and means might be promising approach in psychiatry of future. Transformation of negative dominant emotional maps might be undertaken by the simultaneous combination of online cognitive behavioral therapy (CBT) on individual level, as well as usage of emotionally based strategic communications (EBSC) on a public level. The proposed positive emotional transformation by means of CBT and EBSC may provide important leverage in efforts to protect mental health of civil population in war-inflicted societies. AI-based tools that can be applied in design of EBSC stimuli, like Open AI Chat GPT or Google Gemini may have great potential to significantly enhance emotionally based strategic communications by more comprehensive understanding of semantic and linguistic analysis of available text datasets of war-traumatized society. Human in the loop enhanced by Chat GPT and Gemini can aid in design and development of emotionally annotated messages that resonate among targeted population, amplifying the impact of strategic communications in shaping human dominant emotional maps into a more positive by CBT and EBCS.
在战争时期，恐惧、愤怒、仇恨、沮丧、悲伤、羞辱和绝望等负面情绪的失调会颠覆正常的社会价值观和文化，危及全球和平与安全以及受影响社会中的心理健康。因此，负面情绪的范围和力量在考虑任何武装冲突中的人类行为时可能发挥重要作用，这是可以理解的。战时主导负面情绪的估计和评估至关重要，但却受到情绪神经心理生理学复杂性的挑战。目前可用的自然语言处理（NLP）工具拥有全面的计算方法，可用于分析和理解受战争影响社会中相关文本数据的情感内容。融合机器学习、神经语言程序设计、云基础设施以及新型数字治疗工具和应用的创新人工智能驱动技术，具有提升全球心理健康护理水平的巨大潜力。这一进步可使心理健康服务更具成本效益且更易获得。由于精神科医生数量不足，以及应对战争和创伤造成的心理健康后果的精神科资源有限，由人工智能工具和手段支持的新型数字治疗可穿戴设备可能是未来精神病学中一种有前景的方法。可以通过在个体层面同时进行在线认知行为疗法（CBT）以及在公共层面使用基于情感的战略传播（EBSC）来实现负面主导情绪图谱的转变。通过CBT和EBSC实现的拟议积极情绪转变，可能为保护受战争影响社会中平民的心理健康提供重要助力。可应用于EBSC刺激设计的基于人工智能的工具，如Open AI Chat GPT或Google Gemini，通过更全面地理解受战争创伤社会可用文本数据集的语义和语言分析，可能具有显著增强基于情感的战略传播的巨大潜力。由Chat GPT和Gemini增强的人在回路方法，可协助设计和开发能在目标人群中产生共鸣的情感注释信息，通过CBT和EBCS将战略传播在塑造人类主导情绪图谱方面的影响放大，使其变得更加积极。
