On the Impact of a Simulated Cognitive Augmentation to Detect Deception on Decision-making Confidence
Author:
Affiliation:
1. HIT Lab NZ, University of Canterbury, New Zealand
2. School of Psychology, Speech and Hearing, University of Canterbury, New Zealand
Publisher
ACM
Reference7 articles.
1. Michael G. Aamodt and Heather Custer. 2006. Who can best catch a liar?: A meta-analysis of individual differences in detecting deception.The Forensic Examiner 15, 1 (2006), 6–11.
2. Wizard of Oz Prototyping for Machine Learning Experiences
3. Neurotechnologies for Human Cognitive Augmentation: Current State of the Art and Future Prospects
4. The Emotion Deception Model: A Review of Deception in Negotiation and the Role of Emotion in Deception
5. Construction and Evaluation of a User Experience Questionnaire
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