Alle Publikationen

Erweiterte Suche öffnen

Treffer: 3

2018
Khoo, Tommy; Fu, Feng; Pauls, Scott (2018): Spillover modes in multiplex games. Double-edged effects on cooperation and their coevolution. In: Scientific reports 8 (1). DOI: 10.1038/s41598-018-25025-3

DOI: http://www.ncbi.nlm.nih.gov/pubmed/29720679

Abstract: In recent years, there has been growing interest in studying games on multiplex networks that account for interactions across linked social contexts. However, little is known about how potential cross-context interference, or spillover, of individual behavioural strategy impact overall cooperation. We consider three plausible spillover modes, quantifying and comparing their effects on the evolution of cooperation. In our model, social interactions take place on two network layers: repeated interactions with close neighbours in a lattice, and one-shot interactions with random individuals. Spillover can occur during the learning process with accidental cross-layer strategy transfer, or during social interactions with errors in implementation. Our analytical results, using extended pair approximation, are in good agreement with extensive simulations. We find double-edged effects of spillover: increasing the intensity of spillover can promote cooperation provided cooperation is favoured in one layer, but too much spillover is detrimental. We also discover a bistability phenomenon: spillover hinders or promotes cooperation depending on initial frequencies of cooperation in each layer. Furthermore, comparing strategy combinations emerging in each spillover mode provides good indication of their co-evolutionary dynamics with cooperation. Our results make testable predictions that inspire future research, and sheds light on human cooperation across social domains.

Keywords: COMMONS, Disziplin, EVOLUTIONARY GAMES, Favoriten, GRAPHS, Interaction, Interaktion, interference of social interaction, Kooperation, Mathematik, NETWORKS, Netzwerk, Observablen/Kriterien für sozial angemessenes Verhalten und dessen Bewertung, social interaction, Soziale Angemessenheit, Soziologie, spillover effects, Voraussetzungen für sozial angemessenes Verhalten
2017
Jungmann, Manuela; Cox, Richard (2017): Undesirable Consequences and Social Contexts of Technology Use. A Micro-analysis of Embodied User Interaction. In: Interacting with Computers 29 (4), S. 481-493. DOI: 10.1093/iwc/iwx002

Keywords: analytics, Computerwissenschaft, Disziplin, empirical studies in collaborative and social computing, fortgeschrittene interaktive Geräte, Im (wissenschaftlichen) Diskurs, interference of social interaction, Mensch-Technik-Relationen (MTR), novel interaction devices, Philosophie, Realtechnik, Reflexionen über MTR, social interaction, Technik, Technik-Nutzer Interaktion, Techniknutzung, Technikphilosophie, technological innovation, Technological innovations, Technologie und Soziales, techno-social framework, undesirable consequences, Volltreffer
Krishnan-Barman, Sujatha; Forbes, Paul A. G.; Hamilton, Antonia F. de C. (2017): How can the study of action kinematics inform our understanding of human social interaction?. In: Neuropsychologia 105, S. 101-110. DOI: 10.1016/j.neuropsychologia.2017.01.018

DOI: http://www.ncbi.nlm.nih.gov/pubmed/28119002

Abstract: The kinematics of human actions are influenced by the social context in which they are performed. Motion-capture technology has allowed researchers to build up a detailed and complex picture of how action kinematics vary across different social contexts. Here we review three task domains-point-to-point imitation tasks, motor interference tasks and reach-to-grasp tasks-to critically evaluate how these tasks can inform our understanding of social interactions. First, we consider how actions within these task domains are performed in a non-social context, before highlighting how a plethora of social cues can perturb the baseline kinematics. We show that there is considerable overlap in the findings from these different tasks domains but also highlight the inconsistencies in the literature and the possible reasons for this. Specifically, we draw attention to the pitfalls of dealing with rich, kinematic data. As a way to avoid these pitfalls, we call for greater standardisation and clarity in the reporting of kinematic measures and suggest the field would benefit from a move towards more naturalistic tasks.

Keywords: Favoriten, Imitation, Interaktion, interference of social interaction, Kinematics, kinematics and social interaction, Kinematik, kinematische Dimension, Kontext, Körperbewegungen / Kinematik, Modelle/Theorien, Motor, Observablen/Kriterien für sozial angemessenes Verhalten und dessen Bewertung, social, social interaction, Soziale Angemessenheit

2018

2017

poliTE