The growth of machine learning and artificial intelligence has made it possible for automatic
lie detection systems to emerge. These can be based on a variety of cues, such as facial …

Deception often takes place during everyday conversations, yet conversational dialogues
remain largely unexplored by current work on automatic deception detection. In this paper …

An empathetic car that is capable of reading the driver's emotions has been envisioned by
many car manufacturers. Emotion inference enables in-vehicle applications to improve …

Abstract Machine intelligence methods originated as effective tools for generating learning
representations of features directly from the data and have indicated usefulness in the area …

Artificial intelligence-enabled deception detection is an emerging tool for identifying
dishonest behavior in a wide range of applications, from security and forensics to politics …

Deception detection in conversational dialogue has attracted much attention in recent years.
Yet existing methods for this rely heavily on human-labeled annotations that are costly and …

Many social interactions rely on the premise of mutual trust, but deception violates trust and
poses risk. Empirically examining trust and deception, particularly in high-stakes situations …

Automated systems that detect deception in high-stakes situations can enhance societal well-
being across medical, social work, and legal domains. Existing models for detecting high …

Despite a revolution in the pervasiveness of video cameras in our daily lives, one of the most
meaningful forms of nonverbal affective communication, interpersonal eye gaze, ie, eye …

Computer mediated conversations (eg, videoconferencing) is now the new mainstream
media. How would credibility be impacted if one could change their race on the fly in these …