Spotting prejudice with nonverbal behaviours

Palazzi, Andrea; Calderara, Simone; Bicocchi, Nicola; Vezzali, Loris; Bernardo, Gian Antonio Di; Zambonelli, Franco; Cucchiara, Rita

doi:10.1145/2971648.2971703

Cited by 6 publications

(2 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The interaction, lasting 5 min, was recorded through the Microsoft Kinect device. The participants’ interpersonal distance from the child with disability was computed as the average distance between the centroids of the two interacting children, defined as the center of the mass of the tracked spatial coordinates of the participant (25 body joints; see Palazzi et al., 2016). The final index expresses the average distance in meters between the two persons involved in the interaction.…”

Section: Methodsmentioning

confidence: 99%

Let's stay close: An examination of the effects of imagined contact on behavior toward children with disability

et al. 2022

Self Cite

View full text Add to dashboard Cite

In line with current developments in indirect intergroup contact literature, we conducted a field study using the imagined contact paradigm among high‐status (Italian children) and low‐status (children with foreign origins) group members (N = 122; 53 females, mean age = 7.52 years). The experiment aimed to improve attitudes and behavior toward a different low‐status group, children with disability. To assess behavior, we focused on an objective measure that captures the physical distance between participants and a child with disability over the course of a five‐minute interaction (i.e., while playing together). Results from a 3‐week intervention revealed that in the case of high‐status children imagined contact, relative to a no‐intervention control condition, improved outgroup attitudes and behavior, and strengthened helping and contact intentions. These effects however did not emerge among low‐status children. The results are discussed in the context of intergroup contact literature, with emphasis on the implications of imagined contact for educational settings.

show abstract

Section: Methodsmentioning

confidence: 99%

Let's stay close: An examination of the effects of imagined contact on behavior toward children with disability

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…1 Alessandro Simoni, Stefano Pini and Roberto Vezzani are with the Department of Engineering "Enzo Ferrari", University of Modena and Reggio Emilia, Italy (alessandro.simoni@unimore.it, s.pini@unimore.it, roberto.vezzani@unimore.it) 2 Guido Borghi is with the Department of Computer Science and Engineering, University of Bologna, Italy (guido.borghi@unibo.it) the human prejudice and distrust against robots [7], [8]. In this context, a portable and autonomous setup that does not require any hardware access to the internal states of the robots is preferred.…”

Section: Introductionmentioning

confidence: 99%

Semi-Perspective Decoupled Heatmaps for 3D Robot Pose Estimation from Depth Maps

Simoni¹,

Pini²,

Borghi³

et al. 2022

Preprint

View full text Add to dashboard Cite

Knowing the exact 3D location of workers and robots in a collaborative environment enables several real applications, such as the detection of unsafe situations or the study of mutual interactions for statistical and social purposes. In this paper, we propose a non-invasive and light-invariant framework based on depth devices and deep neural networks to estimate the 3D pose of robots from an external camera. The method can be applied to any robot without requiring hardware access to the internal states. We introduce a novel representation of the predicted pose, namely Semi-Perspective Decoupled Heatmaps (SPDH), to accurately compute 3D joint locations in world coordinates adapting efficient deep networks designed for the 2D Human Pose Estimation. The proposed approach, which takes as input a depth representation based on XYZ coordinates, can be trained on synthetic depth data and applied to real-world settings without the need for domain adaptation techniques. To this end, we present the SimBa dataset, based on both synthetic and real depth images, and use it for the experimental evaluation. Results show that the proposed approach, made of a specific depth map representation and the SPDH, overcomes the current state of the art.

show abstract