心理學研究
Psychological Studies

為了解答這個疑問，我們邀請了 48 位正面對家庭壓力的香港成年人參與一項雙盲交叉研究。他們分別聆聽由真人錄製以及由 AI 生成的催眠錄音，確保在交錯的測試順序中，能夠公平且精準地比較兩者的實際效能。

To address this question, we conducted a blinded crossover study involving 48 Hong Kong adults experiencing family-related stress. Participants listened to both human-recorded and AI-generated hypnosis audio sessions in a randomized sequence, allowing us to fairly and accurately compare their practical effectiveness.

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兩次催眠體驗帶來了非常顯著的減壓效果。參與者在催眠前的壓力平均分數為 2.52 分，處於中度壓力水平；完成體驗後，分數大幅降至 1.79 分，減幅接近三成。其中，原本處於高壓力狀態的人數比例由接近三成急跌至不足一成，而低壓力人數則由不足一半飆升至七成半。數據清晰反映，催眠介入能有效舒緩家庭帶來的心理負擔。

Both hypnosis experiences yielded highly significant stress-reducing effects. The average stress score before the intervention was 2.52, indicating a moderate level of stress. Following the sessions, this score dropped substantially to 1.79, reflecting a nearly thirty percent reduction. The proportion of individuals in a high-stress state plummeted from nearly thirty percent to under ten percent, while those in a low-stress state surged from less than half to seventy-five percent. The data clearly demonstrates the efficacy of hypnotic intervention in alleviating family-induced psychological burdens.

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為了進一步了解背後機制，我們將參與者劃分為視覺、聽覺和觸覺三大感官族群，並量身設計對應的催眠稿件。結果發現，儘管所有族群的壓力中位數均有一致改善，AI 在處理特定感官暗示時卻展現出驚人的優勢。參與者對 AI 催眠的整體有效程度評分比真人高出百分之十二，而這個差距在觸覺族群中最為明顯。特別是在先聽真人、後聽 AI 的測試順序中，觸覺組對 AI 的評分甚至比真人高出九成。這意味著 AI 在生成如肌肉放鬆與身體感受等具體觸覺引導時，比人類更為精準細膩。

To better understand the underlying mechanisms, participants were categorized into visual, auditory, and tactile sensory groups, with scripts tailored to each modality. While the median stress levels improved consistently across all groups, AI demonstrated an astonishing advantage in handling specific sensory cues. Participants rated the overall helpfulness of the AI sessions twelve percent higher than the human sessions, a gap most pronounced within the tactile group. Specifically, when participants experienced the human guide prior to the AI, the tactile group rated the AI's effectiveness ninety percent higher. This implies that AI is far more precise and nuanced than humans when generating concrete tactile cues, such as muscle relaxation and imagined bodily sensations.

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在不同人口特徵的反應上，年輕群組的減壓幅度最為突出，特別是 26 至 35 歲的參與者，壓力改善比例超過三成半。相比之下，雖然年長一輩的減壓幅度較小，但 46 歲以上的參與者卻對 AI 生成的音頻展現出更強烈的偏好。而在性別差異方面，佔整體樣本近八成的女性參與者，其減壓效果明顯優於男性。不過，男性在接受 AI 應用於催眠治療，以及對演算法處理個人資料私隱的安全感上，反而比女性表現得更加從容。

Regarding demographic responses, the younger cohorts experienced the most prominent stress reduction, particularly participants aged 26 to 35, whose stress levels improved by over thirty-five percent. In contrast, although older adults showed a more modest reduction in stress, participants aged 46 and above exhibited a much stronger preference for AI-generated audio. In terms of gender, female participants, who comprised nearly eighty percent of the sample, achieved noticeably better stress relief than their male counterparts. However, men were more receptive to the application of AI in hypnotherapy and felt significantly more secure regarding data privacy when engaging with the algorithms.

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是次研究最具啟發性的發現，在於大眾對 AI 態度的戲劇性轉變。在體驗開始前，有接近三成的參與者對 AI 催眠抱持懷疑態度。然而經過盲測後，超過六成參與者最終選擇了 AI 錄音。最令人意外的是，最初那些持懷疑態度的人當中，有高達九成在盲測下將票投給了 AI。這種親身體驗帶來的觀感逆轉，證明了技術的實際表現遠勝於主觀預期。

The most enlightening discovery of this study lies in the dramatic shift in public perception towards AI. Prior to the experience, nearly thirty percent of participants harbored doubts about AI-led hypnosis. Yet, following the blind test, over sixty percent ultimately favored the AI recordings. Most surprisingly, ninety percent of those initial skeptics ended up voting for the AI option during the blinded evaluation. This reversal in attitude, driven by firsthand experience, proves that the technology's practical performance far exceeds subjective expectations.

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這並不代表 AI 將會取代專業催眠師，而是預示著一種全新的混合模式正在成形。AI 能夠提供穩定且高度個人化的輔助，讓治療師專注於更深層的臨床評估，全面提升心理健康服務的效率與普及性。

This does not suggest that AI will replace professional hypnotists; rather, it foreshadows a new hybrid therapeutic model. AI can provide stable and highly personalized clinical assistance, allowing practitioners to focus on deeper clinical assessments and comprehensively enhancing the efficiency and accessibility of mental health services.