Deception is a common and essential behavior of social agents. By increasing the use of social robots, the need for robot deception is also growing to achieve more socially intelligent robots. It is a goal that robot deception should be used to benefit humankind. We define this type of benevolent deceptive behavior as other-oriented robot deception. In this paper, we explore an appropriate cont...

When humans attempt to detect deception, they perform two actions: looking for telltale signs of deception, and asking questions to attempt to unveil a deceptive conversational partner. There has been significant prior work on automatic deception detection that attempts to learn signs of deception. On the other hand, we focus on the second action, envisioning a dialogue system that asks questio...

Deception is commonly seen in everyday social interactions. However, most of the knowledge about the underlying neural mechanism of deception comes from studies where participants were instructed when and how to lie. To study spontaneous deception, we designed a guessing game modeled after Greene and Paxton (2009) "Proceedings of the National Academy of Sciences, 106(30), 12506-12511", in which...

Informational asymmetries abound in economic decision making and often provide an incentive for deception through telling a lie or misrepresenting information. In this paper I use a cheap-talk sender-receiver experiment to show that telling the truth should be classified as deception too if the sender chooses the true message with the expectation that the receiver will not follow the sender’s (...

Scholars from many disciplines have investigated selfdeception, but defining self-deception and establishing its possible benefits have been a matter of heated debate — a debate impoverished by a relative lack of empirical research. Drawing on recent research, we first classify three distinct definitions of self-deception, ranging from a view that selfdeception is synonymous with positive illus...

Almeshekah, Mohammed H. PhD, Purdue University, August 2015. Using Deception to Enhance Security: A Taxonomy, Model, and Novel Uses. Major Professors: Eugene H. Spafford and Mikhail J. Atallah. As the convergence between our physical and digital worlds continue at a rapid pace, securing our digital information is vital to our prosperity. Most current typi­ cal computer systems are unwittingly h...

Self-deception has long been the subject of speculation and controversy in psychology, evolutionary biology and philosophy. According to an influential 'deflationary' view, the concept is an over-interpretation of what is in reality an instance of motivationally biased judgement. The opposite view takes the interpersonal deception analogy seriously, and holds that some part of the self actively...

Both the ability to deceive others, and the ability to detect deception, has long been proposed to confer an evolutionary advantage. Deception detection has been studied extensively, and the finding that typical individuals fare little better than chance in detecting deception is one of the more robust in the behavioral sciences. Surprisingly, little research has examined individual differences...

The widespread use of deception in online sources has motivated the need for methods to automatically profile and identify deceivers. This work explores deception, gender and age detection in short texts using a machine learning approach. First, we collect a new open domain deception dataset also containing demographic data such as gender and age. Second, we extract feature sets including n-gra...

People are not very good at detecting deception in normal communication, and past efforts to train them to become better detectors have been mixed. This paper reports on a training study involving 177 military officers. In addition to developing and testing a training program to improve deception detection, this study also aimed to test different versions of a computer-based training system. Pa...