Ultimatum Game
Ultimatum Game - Related Videos
14:02
Measuring Engagement of Spectators of Social Digital Games
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2021
We propose a methodology that enables measuring engagement of spectators in a social digital game combining physiological and self-reported data. As this digital game involves a group of freely moving people, the experience is filmed using a synchronizing technique that links physiological data with events in the game.
01:21
Sequential Games
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2025
Sequential games involve players making decisions one after another, with each player considering the prior decisions of other players before deciding their own strategy. The order of these decisions is crucial, as each decision influences subsequent ones, affecting the overall outcome. Decision trees are valuable tools in illustrating these games, helping visualize each possible decision and its consequences, allowing players to anticipate and plan strategies effectively. Consider two coffee...
05:52
Mobile Game-based Virtual Reality Program for Upper Extremity Stroke Rehabilitation
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Cited by 102 •
2018
Here, we present a protocol to develop and apply a mobile game-based virtual reality program for the recovery of upper limb dysfunction in patients with stroke. The present study shows that the mobile program is feasible and effectively promotes upper limb recovery in stroke patients.
13:40
Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking
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Cited by 11 •
2010
Procedures for recording high-density EEG and gaze data during computer game-based cognitive tasks are described. Using a video game to present cognitive tasks enhances ecological validity without sacrificing experimental control.
01:30
Introduction to Game Theory
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2025
Game theory examines how individuals and groups make strategic decisions when the actions of others influence their outcomes. It helps identify the best strategies by considering all participants' potential choices and reactions to the choices of others. This approach is helpful in gaining insights into many competitive situations where understanding the behavior of others can impact decision-making. For example, two retail stores are deciding whether to extend their business hours. If only one...
FAQs
The responder’s choice reveals how decision-making weighs a guaranteed material outcome against the perceived fairness of the proposed division. Acceptance preserves the offered share, whereas rejection sacrifices that share to oppose an inequitable arrangement. This structure lets investigators examine whether behavior reflects simple payoff maximization or the influence of social preferences and fairness judgments.
Reward processing concerns the value of receiving the proposed share, while emotion can shape reactions to an apparently unfair division. Cognitive control may influence how people manage the conflict between accepting a material benefit and rejecting an inequitable offer. Examining these influences together helps explain why social decisions do not depend on financial value alone.
An offer may provide a material benefit yet conflict with the responder’s judgment about equitable treatment. Rejection then carries a direct economic cost because the responder gives up the proposed share, but it also expresses a response to the social meaning of the division. This tension makes the task useful for studying fairness and social preferences.
Researchers present the bargaining task while collecting brain-imaging or physiological data, then relate those measurements to proposals and acceptance or rejection decisions. The behavioral record identifies how participants respond to divisions, whereas the accompanying measures provide information about reward processing, emotion, and cognitive control during those choices. Together, these data connect behavior with underlying decision processes.
The task provides behavioral information about proposed divisions and whether responders accept or reject them. Researchers can compare these decisions with brain-imaging or physiological measures to investigate how reward, emotional reactions, cognitive control, and social preferences correspond to bargaining behavior. The resulting patterns help characterize the processes involved in economic and interpersonal judgment.
Its built-in conflict between material gain and perceived equity creates a controlled setting for examining social choice. Neuroscience researchers can use the task to study how people evaluate rewards, respond emotionally to another person’s proposal, and regulate competing considerations. These findings contribute to broader accounts of bargaining behavior and the neural basis of interpersonal judgment.