The article included many scenarios in which intelligent agents and bots undertook tasks on behalf of their human or corporate owners. Of course, shopbots auction abound the Web, but these are essentially handcrafted for particular tasks: they have little ability to interact with heterogeneous data information types. Because we haven't yet delivered large-scale, agent-based mediation, some commentators argue that semantic Web has failed deliver. We can only flourish when standards well...

Data-driven decision-making consequential to individuals raises important questions of accountability and justice. Indeed, European law provides limited rights 'meaningful information about the logic' behind significant, autonomous decisions such as loan approvals, insurance quotes, CV filtering. We undertake three experimental studies examining people's perceptions justice in algorithmic under different scenarios explanation styles. Dimensions previously observed response human appear...

The Web must be studied as an entity in its own right to ensure it keeps flourishing and prevent unanticipated social effects.

A project to extract value from open government data contributes the population of linked Web with high-value good provenance.

The Critical Decision Method (CDM) is an approach to cognitive task analysis. method involves multiple-pass event retrospection guided by probe questions. CDM has been used in the elicitation of expert knowledge diverse domains and for applications including system development instructional design. research illustrates sorts representation products that can arise from analysis (e.g., Situation Assessment Records, time lines, decision requirements). also shows how one methodological issues...

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The growth of information acquisition, storage and retrieval capacity has led to the development practice lifelogging, undiscriminating collection concerning one's life behaviour. There are potential problems in this practice, but equally it could be empowering for individual, provide a new locus construction an online identity. In paper we look at technological possibilities constraints lifelogging tools, set out some most important privacy, identity empowerment-related issues. We argue...

Many people struggle to control their use of digital devices. However, our understanding the design mechanisms that support user self-control remains limited. In this paper, we make two contributions HCI research in space: first, analyse 367 apps and browser extensions from Google Play, Chrome Web, Apple App stores identify common core features intervention strategies afforded by current tools for self-control. Second, adapt apply an integrative dual systems model self-regulation as a...

At the beginning of twenty-first century, before power online social networking became apparent, several studies speculated about likely structure organised cybercrime. In light new data on cybercriminal organisations, this paper sets out to revisit their claims. This examines cybercrime by analysing from underground markets previously in operation over Internet. order understand various structures which have manifested, theories are drawn psychology, crime and transaction cost economics...

Most users of smartphone apps remain unaware what data about them is being collected, by whom, and how these are used. In this mixed methods investigation, we examine the question whether revealing key collection practices may help people make more informed privacy-related decisions. To investigate question, designed prototyped a new class privacy indicators, called Data Controller Indicators (DCIs), that expose previously hidden information flows out apps. Our lab study DCIs suggests such...

Patient-generated data, such as data from wearable fitness trackers and smartphone apps, are viewed a valuable information source towards personalised healthcare. However, studies in specific clinical settings have revealed diverse barriers to their effective use. In this paper, we address the following question: there prevalent across distinct workflows using patient-generated data? We conducted two-part investigation: literature review of identifying barriers; interviews with specialists...

Children under 11 are often regarded as too young to comprehend the implications of online privacy. Perhaps a result, little research has focused on younger kids' risk recognition and coping. Such knowledge is, however, critical for designing efficient safeguarding mechanisms this age group. Through 12 focus group studies with 29 children aged 6-10 from UK schools, we examined how described privacy risks related their use tablet computers what information was used by them identify threats....

Tracking is a highly privacy-invasive data collection practice that has been ubiquitous in mobile apps for many years due to its role supporting advertising-based revenue models. In response, Apple introduced two significant changes with iOS 14: App Transparency (ATT), mandatory opt-in system enabling tracking on iOS, and Privacy Nutrition Labels, which disclose what kinds of each app processes. So far, the impact these individual privacy control not well understood. This paper addresses...

Abstract While many studies have looked at privacy properties of the Android and Google Play app ecosystem, comparatively much less is known about iOS Apple App Store, most widely used ecosystem in US. At same time, there increasing competition around between these smartphone operating system providers. In this paper, we present a study 24k apps from 2020 along several dimensions relating to user privacy. We find that third-party tracking sharing unique identifiers was widespread both...