An Electrophysiological Model for Assessing Cognitive Load in Tacit Coordination Games

Previously, it was shown that some people are better coordinators than others; however, the relative weight of intuitive (system 1) versus deliberate (system 2) modes of thinking in tacit coordination tasks is still not resolved. To address this question, we have extracted an electrophysiological index, the theta-beta ratio (TBR), from the Electroencephalography (EEG) recorded from participants while they were engaged in a semantic coordination task. Results have shown that individual coordination ability, game difficulty and response time are each positively correlated with cognitive load. These results suggest that better coordinators rely more on complex thought process and on more deliberate thinking while coordinating. The model we have presented may be used for the assessment of the depth of reasoning individuals engage in when facing different tasks requiring different degrees of allocation of resources. The findings as well as future research directions are discussed.

Level-K Classification from EEG Signals Using Transfer Learning

Tacit coordination games are games in which communication between the players is not allowed or not possible. In these games, the more salient solutions, that are often perceived as more prominent, are referred to as focal points. The level-k model states that players’ decisions in tacit coordination games are a consequence of applying different decision rules at different depths of reasoning (level-k). A player at Lk=0 will randomly pick a solution, whereas a Lk≥1 player will apply their strategy based on their beliefs regarding the actions of the other players. The goal of this study was to examine, for the first time, the neural correlates of different reasoning levels in tacit coordination games. To that end, we have designed a combined behavioral-electrophysiological study with 3 different conditions, each resembling a different depth reasoning state: (1) resting state, (2) picking, and (3) coordination. By utilizing transfer learning and deep learning, we were able to achieve a precision of almost 100% (99.49%) for the resting-state condition, while for the picking and coordination conditions, the precision was 69.53% and 72.44%, respectively. The application of these findings and related future research options are discussed.

The sociality of minimizing involvement in self-service shops in Denmark: Customers’ multi-modal practices of being, getting, and staying out of the way

For some customers, the corona pandemic has turned e-shopping into a fine alternative to shopping in brick-and-mortar shops. For other customers in quarantine e-shopping is the only alternative. The long-lasting pandemic, however, has reminded us of the importance of social contacts and interactions – even if it’s just to go the supermarket to ‘mingle’. This paper investigates what ‘mingle’ means when shopping in physical self-service shops amongst unacquainted others in Denmark. It describes customers’ practice of doing self-service by organizing interaction to minimize social involvement. It shows how they, as a matter of fact, co-ordinate their conduct in ways that hampers possibilities for engaging in even small ‘ritual’ exchanges of talk. The paper draws upon a corpus of video recordings of customers’ self-service practices in shops in Denmark. In addition, the customers’ gaze was recorded with the mobile Tobii Pro X3 eye tracker. The study falls within the realm of ethnomethodological and conversation analytic studies of multimodal interaction. It concludes that self-service is achieved through co-present customers’ tacit coordination of multimodal actions in social interaction and that their practices work to achieve ‘effortlessly’ and ‘spontaneously’ being, getting, and staying out of the way, which seems to be an ideal for self-service shopping. Talk and moreover having a conversation seems to be an impediment to it.

Using a Stochastic Agent Model to Optimize Performance in Divergent Interest Tacit Coordination Games

In recent years collaborative robots have become major market drivers in industry 5.0, which aims to incorporate them alongside humans in a wide array of settings ranging from welding to rehabilitation. Improving human–machine collaboration entails using computational algorithms that will save processing as well as communication cost. In this study we have constructed an agent that can choose when to cooperate using an optimal strategy. The agent was designed to operate in the context of divergent interest tacit coordination games in which communication between the players is not possible and the payoff is not symmetric. The agent’s model was based on a behavioral model that can predict the probability of a player converging on prominent solutions with salient features (e.g., focal points) based on the player’s Social Value Orientation (SVO) and the specific game features. The SVO theory pertains to the preferences of decision makers when allocating joint resources between themselves and another player in the context of behavioral game theory. The agent selected stochastically between one of two possible policies, a greedy or a cooperative policy, based on the probability of a player to converge on a focal point. The distribution of the number of points obtained by the autonomous agent incorporating the SVO in the model was better than the results obtained by the human players who played against each other (i.e., the distribution associated with the agent had a higher mean value). Moreover, the distribution of points gained by the agent was better than any of the separate strategies the agent could choose from, namely, always choosing a greedy or a focal point solution. To the best of our knowledge, this is the first attempt to construct an intelligent agent that maximizes its utility by incorporating the belief system of the player in the context of tacit bargaining. This reward-maximizing strategy selection process based on the SVO can also be potentially applied in other human–machine contexts, including multiagent systems.

The differential impact of friendship on cooperative and competitive coordination

Friendship is commonly assumed to reduce strategic uncertainty and enhance tacit coordination. However, this assumption has never been tested across two opposite poles of coordination involving either strategic complementarity or substitutability. We had participants interact with friends or strangers in two classic coordination games: the stag-hunt game, which exhibits strategic complementarity and may foster “cooperation”, and the entry game, which exhibits strategic substitutability and may foster “competition”. Both games capture a frequent trade-off between a potentially high paying but uncertain option and a low paying but safe alternative. We find that, relative to strangers, friends are more likely to choose options involving uncertainty in stag-hunt games, but the opposite is true in entry games. Furthermore, in stag-hunt games, friends “tremble” less between options, coordinate better and earn more, but these advantages are largely decreased or lost in entry games. We further investigate how these effects are modulated by risk attitudes, friendship qualities, and interpersonal similarities.

Focal Moments and Protests in Autocracies: How Pro-democracy Anniversaries Shape Dissent in China

Social scientists have long observed that focal points enable citizens to coordinate collective action. For antiregime protests in autocracies, however, focal points also enable repressive governments to prepare in advance. We propose a theory to explain when citizens are likely to employ focal points to organize antiregime protests. Our key insight is that tacit coordination is most critical when explicit coordination is costly. Empirically, we use our theory to identify a setting where focal points are likely to be salient and then argue that the anniversaries of failed pro-democracy movements satisfy conditions for focality. In China, we find that the anniversaries of failed pro-democracy movements occasion nearly 30 percent more protests than any other day. Protests during pro-democracy anniversaries are more likely to employ “rights-conscious” discourse, which scholars have argued is code for democratic resistance, and to be repressed by the government. We find no similar trends for other holidays.