Design Principles for Signal Detection in Modern Job Application Systems: Identifying Fabricated Qualifications

• 成果类型: Article
• 署名作者: Twyman, Nathan W.; Pentland, Steven J.; Spitzley, Lee
• 署名单位: Brigham Young University; Boise State University; State University of New York (SUNY) System; University at Albany, SUNY
• 刊物名称: JOURNAL OF MANAGEMENT INFORMATION SYSTEMS
• ISSN/ISSBN: 0742-1222
• DOI: 10.1080/07421222.2020.1790201
• 发表日期: 2020
• 页码: 849-874
• 关键词: IMPRESSION MANAGEMENT; EMPLOYMENT INTERVIEW; deception detection; facial expressions; screening systems; SCIENCE RESEARCH; cues; indicators; selection; COMMUNICATION

摘要

Hiring a new employee is traditionally thought to be an uncertain investment. This uncertainty is lessened by the presence of signals that indicate job fitness. Ideally, job applicants objectively signal their qualifications, and those signals are correctly assessed by the hiring team. In reality, signal manipulation is pervasive in the hiring process, mitigating the reliability of signals used to make hiring decisions. To combat these inefficiencies, we propose and evaluate SIGHT, a theoretical class of systems affording more robust signal evaluation during the job application process. A prototypical implementation of the SIGHT framework was evaluated using a mock-interview paradigm. Results provide initial evidence that SIGHT systems can elicit and capture qualification signals beyond what can be traditionally obtained from a typical application and that SIGHT systems can assess signals more effectively than unaided decision-making. SIGHT principles may extend to domains such as audit and security interviews.