測謊抗制措施與偵測技術分析——以網路公開情資為例

An examination of polygraph countermeasures and detection technologies–taking the website open source intelligence as an example

測謊抗制措施一直是測試過程中需要特別注意之重點，但因屬於關鍵技術，因此一般民眾無法隨意取得完整資訊並事先充分練習。為要了解當事人在資訊不足下可能採取之措施，本研究收集網路公開來源資訊中具完整生理訊號圖譜，共17人，134處抗制措施，就形成原因、起始時間、起始秒數、持續秒數、資訊來源等進行分析，了解當事人可能採用策略。結果顯示，一、以單一次之生理反制做法最多，心理與藥物反制較少出現，二、常在第一次比對問題開始時即試行各種可能手段，三、漸熟悉使用方式後，延續時間逐次縮短，四、呼吸訊號最慢出現且持續時最長。根據前述結果，建議測試中可由圖譜推論抗制手段並配合適當詢問與調查措施重複確認，另可增加更多抗動偵測設備以偵測不同部位出現之訊號。

Polygraph countermeasures have long been an issue that requires special attention during the testing process, but because it is one of the core technologies, the examinee is unable to obtain complete instruction or practice thoroughly in advance. The research data were gathered from open intelligence sources on the Internet, including identifying charts comprising entire physiological signals for 17 people and 134 countermeasure signals. The signals' causes, onset times, start times, durations, and information sources were investigated. The results indicate that: 1. Single physiological countermeasures are more common, whereas psychological and pharmacological countermeasures are less common. 2. Examinees often attempt with different strategies throughout the first round of comparison questions. 3. When people become more familiar with the strategy, the time required to execute it decreases. 4. The pneumograph signal appears slowly and persists the longest. Based on the previous findings, it is recommended that when the countermeasures appear on the polygraph chart, the examiner confirm it by employing appropriate inquiry and investigation measures during the test. In addition, more anti-motion detecting equipment can be added to detect signals in various body areas.