Nonverbal Behavior Observation: Collaborative Gaming Method for Prediction of Conflicts during Long-Term Missions

Abstract

Abstract. This paper presents a method for monitoring mental state of small isolated crews during long-term missions (such as space mission, polar expeditions, submarine crews, meteorological stations, and etc). It combines the records of negotiation game with monitoring of the nonverbal behavior of the players. We analyze the records of negotiation game that has taken place between the crew members who were placed in isolated environment for 105 days during the Mars-500 experiment. The outcomes of the analysis, differently from the previously made conclusions, show that there was not a significant deviation of the rational choice of the players. We propose an extension of the method that includes monitoring of the nonverbal behavior of the players next to recording the game records. The method is focused on those aspects of psychological and sociological states that are crucial for the performance of the crew. In particular, we focus on measuring of emotional stress, initial signs of conflicts, trust, and ability to collaborate.

Off-World Mental Health: Considerations for the Design of Well-being–Supportive Technologies for Deep Space Exploration

“…Due to the additional burden imposed by active input requirements, efforts have focused on developing passive monitoring tools for space. Passive monitoring methods include detecting signs of stress in speech [ 22 , 23 ] and nonverbal behavior [ 24 ], wearable devices to monitor sleep [ 25 , 26 ] and team cohesion [ 27 , 28 ], and techniques for the real-time sampling of stress biomarkers [ 29 ].…”

Offworld Mental Health: Considerations For The Design Of Well-Being Supportive Technologies For Deep Space Exploration

“…Due to the additional burden imposed by active input requirements, efforts have focused on developing passive monitoring tools for space. Passive monitoring methods include detecting signs of stress in speech 22,23 and non-verbal behavior 24 , wearable devices to monitor sleep 25,26 and team cohesion 27,28 , and techniques for real-time sampling of stress biomarkers 29 .…”

Automatic Interpretation of Affective Facial Expressions in the Context of Interpersonal Interaction

“…Every second week, the participants were required to interact with each other through a computer environment for approximately 30 min as a part of our experiment. During these sessions, the participants were seated in front of the computers, performing different learning tasks and playing the modified CT game with one another [9], [10]. The frontal video records of facial expressions were made by the cameras located on the personal computers of the participants.…”