Machine Intelligence and the Social Web: How to Get a Cognitive Upgrade

The World Wide Web (Web) provides access to a global space of information assets and computational services. It also, however, serves as a platform for social interaction (e.g., Facebook) and participatory involvement in all manner of online tasks and activities (e.g., Wikipedia). There is a sense, therefore, that the advent of the Social Web has transformed our understanding of the Web. In addition to viewing the Web as a form of information repository, we are now able to view the Web in more social terms. In particular, it has become possible to see the Web as providing access to the human social environment. This is important, because issues of social embedding and social interaction have been seen to contribute to the emergence of human cognitive capabilities. The ability of the Web to provide access to the human social environment thus raises an important question: Can humanity play a productive role in the emergence of advanced forms of machine intelligence by virtue of their interactions and engagements with the online realm? The present paper attempts to show why this question is worth asking. It also attempts to highlight someof the ways in which Web-based forms of contact with the human social environment may be relevant to research into machine intelligence

Characterising Volunteers' Task Execution Patterns Across Projects on Multi-Project Citizen Science Platforms

Citizen science projects engage people in activities that are part of a scientific research effort. On multi-project citizen science platforms, scientists can create projects consisting of tasks. Volunteers, in turn, participate in executing the project's tasks. Such type of platforms seeks to connect volunteers and scientists' projects, adding value to both. However, little is known about volunteer's cross-project engagement patterns and the benefits of such patterns for scientists and volunteers. This work proposes a Goal, Question, and Metric (GQM) approach to analyse volunteers' cross-project task execution patterns and employs the Semiotic Inspection Method (SIM) to analyse the communicability of the platform's cross-project features. In doing so, it investigates what are the features of platforms to foster volunteers' cross-project engagement, to what extent multi-project platforms facilitate the attraction of volunteers to perform tasks in new projects, and to what extent multi-project participation increases engagement on the platforms. Results from analyses on real platforms show that volunteers tend to explore multiple projects, but they perform tasks regularly in just a few of them; few projects attract much attention from volunteers; volunteers recruited from other projects on the platform tend to get more engaged than those recruited outside the platform. System inspection shows that platforms still lack personalised and explainable recommendations of projects and tasks. The findings are translated into useful claims about how to design and manage multi-project platforms.Comment: XVIII Brazilian Symposium on Human Factors in Computing Systems (IHC'19), October 21-25, 2019, Vit\'oria, ES, Brazi

Situating machine intelligence within the cognitive ecology of the Internet

The Internet is an important focus of attention for the philosophy of mind and cognitive science communities. This is partly because the Internet serves as an important part of the material environment in which a broad array of human cognitive and epistemic activities are situated. The Internet can thus be seen as an important part of the 'cognitive ecology' that helps to shape, support and (on occasion) realize aspects of human cognizing. Much of the previous philosophical work in this area has sought to analyze the cognitive significance of the Internet from the perspective of human cognition. There has, as such, been little effort to assess the cognitive significance of the Internet from the perspective of 'machine cognition'. This is unfortunate, because the Internet is likely to exert a significant influence on the shape of machine intelligence. The present paper attempts to evaluate the extent to which the Internet serves as a form of cognitive ecology for synthetic (machine-based) forms of intelligence. In particular, the phenomenon of Internet-situated machine intelligence is analyzed from the perspective of a number of approaches that are typically subsumed under the heading of situated cognition. These include extended, embedded, scaffolded and embodied approaches to cognition. For each of these approaches, the Internet is shown to be of potential relevance to the development and operation of machine-based cognitive capabilities. Such insights help us to appreciate the role of the Internet in advancing the current state-of-the-art in machine intelligence

The Cognitive Ecology of the Internet

In this chapter, we analyze the relationships between the Internet and its users in terms of situated cognition theory. We first argue that the Internet is a new kind of cognitive ecology, providing almost constant access to a vast amount of digital information that is increasingly more integrated into our cognitive routines. We then briefly introduce situated cognition theory and its species of embedded, embodied, extended, distributed and collective cognition. Having thus set the stage, we begin by taking an embedded cognition view and analyze how the Internet aids certain cognitive tasks. After that, we conceptualize how the Internet enables new kinds of embodied interaction, extends certain aspects of our embodiment, and examine how wearable technologies that monitor physiological, behavioral and contextual states transform the embodied self. On the basis of the degree of cognitive integration between a user and Internet resource, we then look at how and when the Internet extends our cognitive processes. We end this chapter with a discussion of distributed and collective cognition as facilitated by the Internet

Extended cognition and the Internet: a review of current issues and controversies

The Internet is an important focus of attention for those concerned with issues of extended cognition. In particular, the application of active externalist theorizing to the Internet gives rise to the notion of Internet-extended cognition: the idea that the Internet can (on occasion) form part of an integrated nexus of material elements that serves as the realization base for human mental states and processes. The current review attempts to survey a range of issues and controversies that arise in respect of the notion of Internet-extended cognition. These include the issue of whether the Internet, as a technological system, is able to support real-world cases of cognitive extension. It also includes issues concerning the cognitive and epistemic impacts of the Internet. Finally, the review highlights a range of issues and concerns that have not been the focus of previous philosophical attention. These include issues of 'network-extended cognitive bloat', 'conjoined minds', and an entirely new form of cognitive extension that goes under the heading of 'human-extended machine cognition'. Together, these issues serve to highlight the value and importance of Internet-extended cognition to contemporary philosophical debates about the extended mind. In particular, the notion of Internet-extended cognition has the potential to highlight points of philosophical progress that are not easily revealed by the kind of technologically low-grade cases that tend to animate the majority of philosophical discussions in this area

A sociotechnical system approach to virtual citizen science: an application of BS ISO 27500:2016

We discuss the potential application to virtual citizen science of a recent standard (BS ISO 27500:2016 "The human-centred organisation") which encourages the adoption of a sociotechnical systems perspective across a wide range of businesses, organizations and ventures. Key tenets of the standard concern taking a total systems approach, capitalizing on individual differences as a strength, making usability and accessibility strategic objectives, valuing personnel and paying attention to ethical and values-led elements of the project in terms of being open and trustworthy, social responsibility and health and wellbeing. Drawing upon our experience of projects in our laboratory and the wider literature, we outline the principles identified in the standard and offer citizen science themed interpretations and examples of possible responses

An investigation into the role of crowdsourcing in generating information for flood risk management

Flooding is a major global hazard whose management relies on an accurate understanding of its risks. Crowdsourcing represents a major opportunity for supporting flood risk management as members of the public are highly capable of producing useful flood information. This thesis explores a wide range of issues related to flood crowdsourcing using an interdisciplinary approach. Through an examination of 31 different projects a flood crowdsourcing typology was developed. This identified five key types of flood crowdsourcing: i) Incident Reporting, ii) Media Engagement, iii) Collaborative Mapping, iv) Online Volunteering and v) Passive VGI. These represent a wide range of initiatives with radically different aims, objectives, datasets and relationships with volunteers. Online Volunteering was explored in greater detail using Tomnod as a case study. This is a micro-tasking platform in which volunteers analyse satellite imagery to support disaster response. Volunteer motivations for participating on Tomnod were found to be largely altruistic. Demographics of participants were significant, with retirement, disability or long-term health problems identified as major drivers for participation. Many participants emphasised that effective communication between volunteers and the site owner is strongly linked to their appreciation of the platform. In addition, the feedback on the quality and impact of their contributions was found to be crucial in maintaining interest. Through an examination of their contributions, volunteers were found to be able to ascertain with a higher degree of accuracy, many features in satellite imagery which supervised image classification struggled to identify. This was more pronounced in poorer quality imagery where image classification had a very low accuracy. However, supervised classification was found to be far more systematic and succeeded in identifying impacts in many regions which were missed by volunteers. The efficacy of using crowdsourcing for flood risk management was explored further through the iterative development of a Collaborative Mapping web-platform called Floodcrowd. Through interviews and focus groups, stakeholders from the public and private sector expressed an interest in crowdsourcing as a tool for supporting flood risk management. Types of data which stakeholders are particularly interested in with regards to crowdsourcing differ between organisations. Yet, they typically include flood depths, photos, timeframes of events and historical background information. Through engagement activities, many citizens were found to be able and motivated to share such observations. Yet, motivations were strongly affected by the level of attention their contributions receive from authorities. This presents many opportunities as well as challenges for ensuring that the future of flood crowdsourcing improves flood risk management and does not damage stakeholder relationships with participants

A sociotechnical system approach to virtual citizen science: an application of BS ISO 27500:2016

We discuss the potential application to virtual citizen science of a recent standard (BS ISO 27500:2016 "The human-centred organisation") which encourages the adoption of a sociotechnical systems perspective across a wide range of businesses, organizations and ventures. Key tenets of the standard concern taking a total systems approach, capitalizing on individual differences as a strength, making usability and accessibility strategic objectives, valuing personnel and paying attention to ethical and values-led elements of the project in terms of being open and trustworthy, social responsibility and health and wellbeing. Drawing upon our experience of projects in our laboratory and the wider literature, we outline the principles identified in the standard and offer citizen science themed interpretations and examples of possible responses