A dataset of human and robot approach behaviors into small free-standing conversational groups

Abstract

The analysis and simulation of the interactions that occur in group situations is important when humans and artificial agents, physical or virtual, must coordinate when inhabiting similar spaces or even collaborate, as in the case of human-robot teams. Artificial systems should adapt to the natural interfaces of humans rather than the other way around. Such systems should be sensitive to human behaviors, which are often social in nature, and account for human capabilities when planning their own behaviors. A limiting factor relates to our understanding of how humans behave with respect to each other and with artificial embodiments, such as robots. To this end, we present CongreG8 (pronounced ‘con-gre-gate’), a novel dataset containing the full-body motions of free-standing conversational groups of three humans and a newcomer that approaches the groups with the intent of joining them. The aim has been to collect an accurate and detailed set of positioning, orienting and full-body behaviors when a newcomer approaches and joins a small group. The dataset contains trials from human and robot newcomers. Additionally, it includes questionnaires about the personality of participants (BFI-10), their perception of robots (Godspeed), and custom human/robot interaction questions. An overview and analysis of the dataset is also provided, which suggests that human groups are more likely to alter their configuration to accommodate a human newcomer than a robot newcomer. We conclude by providing three use cases that the dataset has already been applied to in the domains of behavior detection and generation in real and virtual environments. A sample of the CongreG8 dataset is available at https://zenodo.org/record/4537811.

Analysis of Postural Instability in the Upright Position on Narrow Platforms and the Interactions with Postural Constraints

“…The whole-body posture was measured using an optical motion capture system (OptiTrack, Natural Point, Corvallis, OR, USA) with 12 infrared cameras (Flex 3, Natural Point, Corvallis, OR, USA) and its software (Motive 1.8.0, Natural Point, Corvallis, OR, USA). Marker placements of 37 reflective markers, as shown by Yang et al [ 36 ], were used for tracking. The dynamic calibration was achieved by using an L-shaped fixed frame and a moving wand.…”

Smoothing method for unit quaternion time series in a classification problem: an application to motion data

“…The data considered are related to a behavioural study about small free-standing conversational groups. A sample of the dataset (called CongreG8) is available at the following link: https://zenodo.org/record/4537811 and it is described in 27 .…”

“…A sample of the dataset (called CongreG8) is available at the following link: https:// zenodo. org/ record/ 45378 11 and it is described in 27 .…”

SoGrIn: a Non-Verbal Dataset of Social Group-Level Interactions

“…The CongreG8 dataset [16] consists of 418 recordings of free-standing groups, with and without a robot, and specifically look into group joining: an external participant (or robot) joins the group, and the dataset records the resulting group motions using motion capture.…”