From physical to digital: A theoretical-methodological primer on designing hyperscanning investigations to explore remote exchanges.

As individuals increasingly engage in social interactions through digital mediums, understanding the neuroscientific underpinnings of such exchanges becomes a critical challenge and a valuable opportunity. In line with a second-person neuroscience approach, understanding the forms of interpersonal syntonisation that occur during digital interactions is pivotal for grasping the mechanisms underlying successful collaboration in virtual spaces. The hyperscanning paradigm, involving the simultaneous monitoring of the brains and bodies of multiple interacting individuals, seems to be a powerful tool for unravelling the neural correlates of interpersonal syntonisation in social exchanges. We posit that such approach can now open new windows on interacting brains' responses even to digitally-conveyed social cues, offering insights into how social information is processed in the absence of traditional face-to-face settings. Yet, such paradigm shift raises challenging methodological questions, which should be answered properly to conduct significant and informative hyperscanning investigations. Here, we provide an introduction to core methodological issues dedicated to novices approaching the design of hyperscanning investigations of remote exchanges in natural settings, focusing on the selection of neuroscientific devices, synchronization of data streams, and data analysis approaches. Finally, a methodological checklist for devising robust hyperscanning studies on digital interactions is presented.

Designing digital nature for older adults: A mixed method approach.

Objective: Loneliness and social isolation are pressing issues that can seriously impact the mental health and well-being of older adults. Interacting with nature can stimulate a feeling of connectedness. However, for older adults, access to nature is often troublesome because of physical limitations and mobility restrictions. Methods: In the present mixed-method study, 37 older adults (62-99 years old) with varying care needs and mobility restrictions watched a video presenting a walkthrough of a simulated digital nature landscape. Results: Quantitative results show a significant increase in social connectedness scores and enhanced peacefulness after experiencing a digital nature. Qualitative results stress the importance of variations in nature scenery and highlight the influence of contextual and person-related factors including nature experiences throughout the life span and mobility constraints that older adults may face. Conclusion: These findings testify to the potential of using digital nature as a complementary strategy when interactions with outdoor nature become increasingly difficult due to old age.

Quality of Life and the Digital Service Landscape: The Moderating Role of Customer Complaining Effort.

The last decade, and more specifically the COVID-19 pandemic, has created a favorable environment for digitalization, which has become a necessary condition in the context of how everyday life is conducted. Even if digital communication and services have become a trend and help brand-customer relationships, brands still have more gaps to close. The purpose of this study was to investigate how consumers' behaviors and digital interactions impact their shopping well-being and quality of life, and how the level of customer complaining effort affects the relationship between digital behavior and quality of life. This research provides practical implications for companies and marketers that offer digital services and technologies, helping them design and deliver more effective and customer-centric digital experiences. Additionally, it contributes to the growing interest in how digital services and technologies can improve consumer experiences and quality of life. This study surveyed 331 respondents in Romania. Results show that digital behavior influences consumers' shopping well-being and comes with insights that strengthen the importance of reducing consumers' cognitive and procedural effort in order to increase their quality of life. The paper discusses the implications for brands that must design easy experiences to gain more loyal customers, the study's implications and novelty for the warranty area.

Smart city perspectives in post-pandemic governance: Externalities reduction policy.

Background: The ongoing COVID-19 quarantine restrictions have caused multiple sharp decreases in activities associated with the movement of large masses of people. The economies of regions and cities that are critically dependent on tourist flows related to various segments have suffered. This research aims to provide an economic-mathematical model of smart cities externalities' impact from the point of view of achieving social and environmental goals Methods: The objective of this study was to develop an algorithm for supporting decision-makers. Methods of mathematical modeling, statistical processing of data received in real-time, as well as methods for finding solutions by expansion into dynamic series are used, and the theory of mathematical games is applied. The theoretical mathematical model presented considers the statistical processing of data provided in real time referring to the performance indicators of megacities. Results: The activities of administrations and governments aimed at maintaining stability over the past two years have been aimed at reducing the negative impact of the pandemic. The prospect of returning to normal conditions is complicated by a number of factors. The proposed approach allows the development of the fundamental basis for making administrative decisions within individual megapolises and in environmental policy on a territory of any scale. The developed mathematical model is abstract by definition and is applied by taking into account specific tasks and criteria. Since the tasks of the administration differ depending on the region and country, the choice of criteria is set individually. Conclusions: During the period of isolation, the volume of services in the Hotel - Restaurant- Catering/Café (HORECA) segment has decreased, and personnel has also been lost. The reduced pressure on public infrastructure and the departure of migrants means that, in the long term, this work cannot be restored within a short period of time.

Sustainable development of smart cities and smart territories based on the model of minimizing externalities.

The development of conceptual models of a digital city poses numerous challenges for developers. The public sector concept model has become one of the most difficult models to use. When developing algorithms to find a solution, the multidirectional interests of businesses and public institutions are combined. This type of model reflects the most acute and urgent problems faced by megapolises with regard to combining numerous localized services provided to the community in a limited territory. The administrations of both cities and regions (the scale of the smart territories) must make decisions concerning overcoming the barriers existing between the profits of commercial structures, the negative externalities generated by their activities, and the social benefits to the population in the territory under their control. It is necessary to solve this problem to achieve the effective management of enterprises belonging to the segment of long-term participants in various business activities, interacting with the surrounding social and business environment in a complex. This study takes into account the complex structures of the economic processes characteristic of megacities. The periodicity of economic processes is also taken into account. When choosing an optimization criterion, functions reflecting the level of internalization of responsibility for external effects were considered. The authors propose a mathematical model that can be used as part of the management decision support systems software, aiming at taking into account the externalities of a wide range of national, institutional, business, and social activities.

A Data-Driven Approach to Quantify and Measure Students' Engagement in Synchronous Virtual Learning Environments.

In face-to-face learning environments, instructors (sub)consciously measure student engagement to obtain immediate feedback regarding the training they are leading. This constant monitoring process enables instructors to dynamically adapt the training activities according to the perceived student reactions, which aims to keep them engaged in the learning process. However, when shifting from face-to-face to synchronous virtual learning environments (VLEs), assessing to what extent students are engaged to the training process during the lecture has become a challenging and arduous task. Typical indicators such as students' faces, gestural poses, or even hearing their voice can be easily masked by the intrinsic nature of the virtual domain (e.g., cameras and microphones can be turned off). The purpose of this paper is to propose a methodology and its associated model to measure student engagement in VLEs that can be obtained from the systematic analysis of more than 30 types of digital interactions and events during a synchronous lesson. To validate the feasibility of this approach, a software prototype has been implemented to measure student engagement in two different learning activities in a synchronous learning session: a masterclass and a hands-on session. The obtained results aim to help those instructors who feel that the connection with their students has weakened due to the virtuality of the learning environment.

Digital localisation in an illicit market space: interactional creation of a psychedelic assemblage in a darknet community of exchange.

Sociology of drugs and digital sociology-albeit for different reasons-need the analysis of interactions, an approach underdeveloped in current scholarship. We address this gap by providing a specific analytical framework for the analysis of digital interactions which enables an ethnomethodological account of micro-interactional dynamics within a cryptomarket: an anonymous darknet market of  illicit drugs. As a case study we chose the 'PsychForumMarket' which is unusual in that it operates as a forum based market space and explicitly rejects centralised technical market solutions such as escrow and encryption systems. Instead, it emphasises personal relationships between buyers and vendors as the basis of trust. Hence it forms a community of exchange, both material and cultural. The data were collected through a process of manual scraping from the forum from 2017 to 2020. The data was purposefully sampled to construct a 'thick data' set, and analysed thematically to examine the micro interactional turn taking, sanctioning and norming processes by which the market culture is normalized and embedded. This market is a laboratory  to investigate the constitutive nature of digital group interactions. Due to the very nature of this market the disciplining process cannot lie with external authorities. Interactions between community members are permeated with mutual monitoring and policing. We find that in and through digital communication a particular culture emerges to which individuals who wish to join this community have to ascribe. We refer to this particular culture as a 'psychedelic assemblage,' i.e., a local constellation of cultural constructs which frames the experience of drug using and trading. Our investigation reveals the constitutive methods which enable the norming of members' practices and underpin the emergence of a shared lifeworld which in turn ensures the operability of this cryptomarket.