Shari Lieblich

University of Pennsylvania

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Lily A. Brown

University of Pennsylvania

Edna B. Foa

University of Pennsylvania

Keith Bredemeier

University of Pennsylvania

Wenting Mu

Tsinghua University

Antonia N. Kaczkurkin

Vanderbilt University

Anu Asnaani

University of Utah

Samantha G. Farris

Rutgers, The State University of New Jersey

Jeremy Tyler

University of Pennsylvania

Kevin Narine

William James College

Cobb Scott

California University of Pennsylvania

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University of Pennsylvania

California University of Pennsylvania

Center for Anxiety and Depression

Temple University

Brown University

Hospital of the University of Pennsylvania

The University of Texas Health Science Center at Houston

University of Southern California

USC Institute for Creative Technologies

Creative Technologies (United States)

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The association of obsessive-compulsive disorder, anxiety disorders, and posttraumatic stress disorder with impairment related to eating pathology

Journal of Obsessive-Compulsive and Related Disorders (2021)

Antonia N. Kaczkurkin Wenting Mu Thea Gallagher Shari Lieblich Jeremy Tyler

Perfectionism

Depression

10.1016/j.jocrd.2021.100685

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Citations (3)

Trust me: multimodal signals of trustworthiness

Gale Lucas Giota Stratou Shari Lieblich Jonathan Gratch

This paper builds on prior psychological studies that identify signals of trustworthiness between two human negotiators. Unlike prior work, the current work tracks such signals automatically and fuses them into computational models that predict trustworthiness. To achieve this goal, we apply automatic trackers to recordings of human dyads negotiating in a multi-issue bargaining task. We identify behavioral indicators in different modalities (facial expressions, gestures, gaze, and conversational features) that are predictive of trustworthiness. We predict both objective trustworthiness (i.e., are they honest) and perceived trustworthiness (i.e., do they seem honest to their interaction partner). Our experiments show that people are poor judges of objective trustworthiness (i.e., objective and perceived trustworthiness are predicted by different indicators), and that multimodal approaches better predict objective trustworthiness, whereas people overly rely on facial expressions when judging the honesty of their partner. Moreover, domain knowledge (from the literature and prior analysis of behaviors) facilitates the model development process.

Trustworthiness

Modalities

Honesty

10.1145/2993148.2993178

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Citations (31)

Pretreatment levels of rumination predict cognitive-behavioral therapy outcomes in a transdiagnostic sample of adults with anxiety-related disorders

Journal of Anxiety Disorders (2020)

Keith Bredemeier Shari Lieblich Edna B. Foa

10.1016/j.janxdis.2020.102277

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Citations (13)