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Register a new userLinguistic Complexity Loss in Text-Based Therapy
فقدان التعقيد اللغوي في العلاج القائم على النص
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وقد لوحظت مفارقة خسارة التعقيد، التي توضح أن الأفراد الذين يعانون من الأمراض من مرض ديناميات سلوكية يمكن التنبؤ بها بشكل مدهش، وقد لوحظ في مجموعة متنوعة من النظم الفسيولوجية البشرية والحيوانية. يعرض ظهور العلاج المستند عبر الإنترنت حديثا فرصة جديدة لتحليل مفارقة فقدان التعقيد في التشغيل الجديد: فقدان التعقيد اللغوي في محادثات العلاج بالنصوص. في هذه الورقة، نقوم بتحليل التعقيد اللغوي يرتبط بالصحة العقلية في رسائل العلاج عبر الإنترنت المرسلة بين المعالجين و 7170 عملاء قدموا 30،437 ردود للمسح المقابلة على قلقهم. وجدنا أنه عندما أبلغ العملاء المزيد من القلق، أظهروا انخفاض التنوع المعجمي على النحو الذي يقدر بمتوسط نسبة TECE-TECEN المتوسطة. يستخدم المعالجون، من ناحية أخرى، لغة صعوبة في القراءة، التعقيد النحوي، وعمر الاستحواذ عندما كان العملاء أكثر قلقا. أخيرا، وجدنا أن العملاء، وإلى حد كبير، المعالجين، عرضوا مستويات متسقة من العديد من تدابير التعقيد اللغوي. توضح هذه النتائج كيفية الاستفادة من التحليل اللغوي للاتصالات القائمة على النص كعلامة للقلق، وهو احتمال مثير في وقت زيادة الاتصال عبر الإنترنت وزيادة قضايا الصحة العقلية.
The complexity loss paradox, which posits that individuals suffering from disease exhibit surprisingly predictable behavioral dynamics, has been observed in a variety of both human and animal physiological systems. The recent advent of online text-based therapy presents a new opportunity to analyze the complexity loss paradox in a novel operationalization: linguistic complexity loss in text-based therapy conversations. In this paper, we analyze linguistic complexity correlates of mental health in the online therapy messages sent between therapists and 7,170 clients who provided 30,437 corresponding survey responses on their anxiety. We found that when clients reported more anxiety, they showed reduced lexical diversity as estimated by the moving average type-token ratio. Therapists, on the other hand, used language of higher reading difficulty, syntactic complexity, and age of acquisition when clients were more anxious. Finally, we found that clients, and to an even greater extent, therapists, exhibited consistent levels of many linguistic complexity measures. These results demonstrate how linguistic analysis of text-based communication can be leveraged as a marker for anxiety, an exciting prospect in a time of both increased online communication and increased mental health issues.
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