Evolutionary dynamics of group cooperation with asymmetrical environmental feedback

In recent years, there has been growing interest in studying evolutionary games with environmental feedback. Previous studies exclusively focus on two-player games. However, extension to multi-player game is needed to study problems such as microbial cooperation and crowdsourcing collaborations. Here, we study coevolutionary public goods games where strategies coevolve with the multiplication factors of group cooperation. Asymmetry can arise in such environmental feedback, where games organized by focal cooperators may have a different efficiency than the ones by defectors. Our analysis shows that co-evolutionary dynamics with asymmetrical environmental feedback can yield oscillatory convergence to persistent cooperation, if the relative changing speed of cooperators' multiplication factor is above a certain threshold. Our work provides useful insights into sustaining group cooperation in a changing world

APPLICATION OF PLACEBO EFFECT INTERFACE DESIGN IN IMPROVING THE USER EXPERIENCE

The Internet is a virtual architecture of the real world. Traditional designers often transplant real-life experiences into Internet product design to reduce learning costs. The user interface is the language of communication between the two worlds. The user experience can make the virtual world communicate more smoothly with the real world. It is difficult for designers to balance user needs with business needs if they rely solely on traditional life experiences. Because both are competing for users' time. Thus, we can balance the needs of both parties by using the placebo effect to reduce the anxiety of the user waiting. This article takes the loading method of APP startup page as an example, from the perspective of Internet interface design and user experience, to explore how to optimize the user experience and reduce anxiety. Using the questionnaire method and the sounding thinking method to obtain the user's data. The correlation between different requirements was obtained by using the Likert scale and One-factor dependent sample ANOVA. The Kano model was used to classify the data into different levels of requirements. This study has contributed to the study of user experience in optimizing the loading interface