表紙:遠隔虚偽検出ソリューションの競合分析
市場調査レポート
商品コード
1377075

遠隔虚偽検出ソリューションの競合分析

Competitive Analysis of Remote Lie Detection Solutions

出版日: | 発行: Molfar Limited | ページ情報: 英文 | 納期: 2~5営業日

価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=160.10円
遠隔虚偽検出ソリューションの競合分析
出版日: 2023年08月01日
発行: Molfar Limited
ページ情報: 英文
納期: 2~5営業日
  • 全表示
  • 概要
  • 目次
概要

当レポートでは、世界の遠隔虚偽検出ソリューション市場について調査分析し、科学研究による遠隔虚偽検出のあらゆるツールと手法の情報を提供しています。

主なハイライト

  • 対象、価格リスト、主要財務データ、顧客による、すべての遠隔虚偽検出ツールの比較
  • 虚偽検出手法の科学研究、真陽性率と偽陽性率

目次

  • サマリー
  • 企業
  • 研究
目次

Lie detection is used in preemployment or preclearance screening in government agencies especially those involved in national security. This goes for potential as well as current employees. Another use is in investigations of specific events, for example, criminal cases. Commercial companies can benefit from lie detection solutions as well when hiring new staff for management positions, engaging in venture investment activities or signing important contracts. Researchers and scientists will also be interested in the current technological achievements to base further studies upon. Other potential customers include:

Legal Firms and Attorneys: Legal professionals will find value in the report to understand the capabilities and limitations of remote lie detection solutions, which could be relevant in courtrooms or during the discovery process in legal cases.

Corporate Security Departments: Large corporations and organizations may consider purchasing the report to assess the effectiveness of remote lie detection technologies in employee screening, internal investigations, and fraud detection.

Human Resources Professionals: HR departments may be interested in the report to evaluate remote lie detection solutions as part of employee vetting and integrity assessment processes.

Research Institutions and Academia: Researchers and academic institutions studying deception detection, human behavior, and technology applications might find the report useful for their studies and academic purposes.

Private Investigators: Private investigators could use the report to gain insights into remote lie detection technologies and their potential applications in their investigative work.

Technology Companies and Startups: Companies in the field of lie detection technology development might purchase the report to analyze the competitive landscape, identify market gaps, and explore potential partnerships or acquisitions.

Investors and Venture Capital Firms: Investors interested in the deception detection industry may find the report valuable in evaluating investment opportunities and assessing the growth potential of different companies offering lie detection solutions.

This report provides an overview of all tools and methods of remote lie detection with scientific researches.

Key Highlights:

  • Comparison of all remote lie detection tools by objects, price lists, key financial data, and clients;
  • Scientific researches of lie detection methods with true positive and false positive rates.

Reasons to Buy:

  • Determine the scientific base of remote lie detection methods;
  • Choose the effective tool for your needs;
  • Find out an investment opportunity of remote lie detection tools and methods.

All data in Excel file.

Competitive analysis of the top market players in the remote lie detection solutions market. Comparison of all types of detection - based on eyes, face, voice, and behavior - by scientific tests with links on studies.

12 companies providing remote lie testing services by different objects and one open-source software were found during the research.

According to the object of analysis, companies are divided by:

  • voice (50%). Parameters: intonation, tempo, and stress. It does not depend on the language of the speaker. Another name is layered voice analysis, voice stress analysis (VSA). VSA technology is represented by the CVSA method developed by the US NITV Federal Services;
  • behavior (34%). Analysis of gestures, behavior, and reactions to prepared images;
  • eyes (8%). Parameters: pupil dilation, answering accuracy, time of answering, fixation of gaze, blinking frequency;
  • face (8%). Analysis of facial microexpressions and facial expressions.

According to the needed additional devices and trainings, companies are divided by:

  • the need for additional training: 50% - of which 34% - analysis by voice, 8% - by eyes and 8% - by behavior;
  • the need for additional equipment: 16% - of which 8% - EyeDetect, an infrared camera is required, and 8% - Avatar - a set of sensors. Not suitable for remote hiring;
  • no need for additions: 33% - of which 16.5% - analyze the voice and 16.5% analyze the behavior.

Table Of Contents

  • Summary
  • Companies
  • Researches