Social BRIDGES Archive
SOCIAL BRIDGES 1: SOCIETY, PSYCHOLOGY AND BEHAVIOUR DURING AND POST COVID-19 LOCKDOWN (22-24 JULY 2020)
The present COVID-19 pandemic is challenging each of us and society in unique ways. One positive outcome, however, is the extraordinary effort being made to try and bridge the physical gap as a result of lockdown measures. So too in academia, where international teams of researchers from universities and institutes across the globe are collaborating to try better understand the effect of self-isolation and distancing during the current COVID-19 pandemic.
The two-day virtual exchange event on 22-24 July 2020 provided news from up-to-date research investigating how society, behaviour and psychology are being affected by the COVID-19 pandemic.
Studies about the disruptive energies of the pandemic and the collective worldwide steps into the new normal were presented in three main sections: individual behaviour during and after lockdown;
doing things together during and after lockdown; mental health care: challenges and proposed solutions.
SOCIAL BRIDGES 2: ALIGNMENT IN GROUPS, NETWORKS AND TEAMS (18-20 NOVEMBER, 2020)
In this event, the second in our series of social BRIDGES e-conferences, we present an interdisciplinary forum where researchers in social psychology, sports psychology, philosophy, and neuroscience come together to discuss how and why we become aligned with others in body and mind. For our purposes, alignment can capture everything from how footballers and dancers physically coordinate to create movement patterns that score goals and enchant audiences but also how groups of individuals collectively make decisions or act together as one. During this three-day virtual event on November 18-20, 2020, we have done our best to answer questions like:
- Are two (or more heads) always better than one?
- What are the best computational methods for describing the ways individuals coordinate?
- Are we talking about the same phenomenon when we describe alignment in crowds, musicians or a team of football players?
- How is alignment in humans special or can we learn something from fish?
What stops us from becoming aligned with others?
SOCIAL BRIDGES 3: THE NEAR-FUTURE OF AI: HOW WILL HUMANS AND AI INTERACT IN 5 YEARS? (21-23 APRIL, 2021)
Theme 1
AI beyond tools: Cooperating and competing with artificial non-human agents
When computer scientists develop a machine-learning application or even an AI system, they do so to solve a specific problem: driving a car, recognising faces, or finding game-winning strategies. In these circumstances AI systems are nothing more than tools. We, the users of machines, have goals and machines are there to help us meet them. But when it comes to human-AI cooperative contexts, should we treat AI as more than tools and when is it beneficial or even necessary to include a ‘human-in-the-loop’?
Examples of research questions:
- How does the make-up of human and non-human groups change how we coordinate our actions?
- Will we trust, expose ourselves to risk, and cooperate with artificial agents as much as we do with fellow humans?
- What challenges do we face in ensuring that the introduction of AI systems into our society is as smooth and efficient as possible?
- Are there obstacles to our cooperation with machines and are there ways to overcome them?
- How to foster our trust in AI systems? Are there reasons not to trust them? Can these worries be overcome and how?
- We want AI systems and their use to be unconditionally benevolent, explainable, and fully transparent. Is that achievable? Are there contexts in which we would not want that?
Theme 2
Extending the senses: Learning and perceiving in human and non-human agents
Given adequate training data and time to learn, current machine learning applications can rival human performance. However, while the performance outputs like in visual object recognition are comparable, the underlying sensory processing is not. Machine learning performance is stifled when objects are rotated or some pixels are altered, whereas human perception is vulnerable to optical illusions. Here, we discuss the similarities and differences in learning and perceiving in human and non-human agents.
Examples of research questions:
- Can we couple artificial sensors and computation with human perception?
- Should we think of, and can we design AI perception to be like human perception?
- Can human perception and cognition be enhanced with the use of smart technologies?
- Can we use AI technologies to apply our senses in contexts in which we have not used them before?
Theme 3
Robots like us: Machines that look and think like humans
While this could be the sequel to Ian McEwan’s ‘Machines like me’, here we want to turn our attention to issues of embodied cognition: Are these robots capable of social interaction? Possible application areas of robotic AI systems involve care-homes, the military and the modern workforce. But should we use them for this purpose and, if so, what should we be thinking about as we do so?
Examples of research questions:
- Do robots have to think and look like us for us to be able to coordinate actions effectively?
- Why and when do we (want to) anthropomorphize machines?
- Is it enough for us to believe that machines are similar to us in order for us to trust and welcome their use, or do we have to know that they are in fact similar to us too?
- In human-machine interaction, can we nudge people into believing that they interact with someone “like” them? Are there contexts in which we should or should not do that?
SOCIAL BRIDGES 4: SOCIAL DISTANCING AND TOUCH
Theme 1
Changes in social touch during COVID
What has been the effect of social distancing on how we interact?
We explore, via a number of large, online studies, the effects that the COVID health crisis and the following social distancing have had on our well-being and behavior.
Theme 2
Bodily changes in and touch interactions during COVID
How have our interactions changed during COVID?
Advice tells us to avoid touching any object or surface in public and to wash and/or sanitize our hands afterwards, which has impacts on how we interact with the world and with others.
We explore how this has changed us, impacted our lives, and how it makes us feel.
SOCIAL BRIDGES 5: DO-RE-MI DNA: THE BIOLOGICAL BASES OF MUSIC
Theme 1
Universal features of musical systems and behavior and measurable biological correlates
- neural networks
- perception-action coupling
- cross-cultural / cross-species comparisons
- volutionary perspective
Theme 2
Functions and uses of music, advantages and costs of music making
- social bonding
- learning / prediction
- creativity
SOCIALBRIDGES 6: WOMEN IN SOCIAL NEUROSCIENCE
SOAP BOX: During the soap box sessions, senior researchers will give insight into their experiences and challenges in making a research career in the field of social neuroscience.
FISH BOWL: Fish bowl sessions will be dedicated to young researchers who will give short presentations followed by feedback from senior researchers and bidirectional Q&A.
ROUNDTABLE DISCUSSION: Led by the pioneers Prof. Uta Frith and Prof. Simone Shamay-Tsoory, the roundtable discussion will bring together female scientists in the field of social neuroscience to meet and discuss issues pertinent to women in science.
GATHER TOWN: Gather Town will give attendees the opportunity to re-visit the poster videos from the Fish Bowl sessions and interact with other researchers.
SOCIALBRIDGES 7: TRUST: SOCIAL BRIDGE BETWEEN HUMANS AND TECHNOLOGY
A substantial part of our everyday life consists in relying on other people or technologies to go beyond one's limits, overcome obstacles, solve problems, achieve goals that one would not be able to handle alone. Trust has gained relevance for understanding the human interaction with various kinds of technical systems (e.g., AI-based text generator, social robot, automated driving). It is an open question how theories, methods, and findings from the area of interpersonal trust can be transferred to the situation in which technology becomes a trustee. Some suggest that we rely only on the functionality, utility, and accuracy of non-human others. Conversely, technologies are increasingly social, in the sense they have human-like characteristics (as in social robotics and artificial intelligence) or enable human-to-human interaction (as in telecommunication and telepresence).
The purpose of this conference was to bring together interdisciplinary researchers to explore the mechanisms and functions of trust in people and technologies and to deepen our understanding of the similarities and differences of human-to-human or human-technology trust, and the downstream effects they may have on social interaction in everyday life.
We welcomed contributions from engineering, cognitive, organizational, computational, clinical, developmental, social psychology and neuroscience, HCI, computer science, haptics, robotics and other areas or disciplines. We covered key themes such as:
- Definitions and underpinnings of trust: when do we trust another party for their functional or personal characteristics?
- Dimensionality, structure and subfacets of trust
- Neural, physiological, and behavioral correlates of trust
- Trust in technologies and/or other people in the context of social exchanges
- Individual differences in trusting technologies and/or other people (e.g., socio demographic variables, age, culture, user dispositions, expertise, clinical conditions)
- Design principles and use cases of social technologies that we can trust
- Measurement of trust
- Relation of trust to behavioral outcomes, its mediators and moderators
- (Cognitive) modelling of trust
- Transparency of technology, XAI and trust
Click here for the programme and here for the recorded talks.