Browsing by Author "Nurse, Jason R. C."

Now showing 1 - 7 of 7
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    Behind the scenes: a cross-country study into third-party website referencing and the online advertising ecosystem
    (Springer, 2017-11-02) Nurse, Jason R. C.; Buckley, O.
    The ubiquitous nature of the Internet provides an ideal platform for human communication, trade, information sharing and learning. Websites play a central role in these activities as they often act as a key point of interaction for individuals in navigating through cyberspace. In this article, we look beyond the visual interface of websites to consider exactly what occurs when a webpage is visited. In particular, we focus on the various web scripts that are often programmatically executed, to explore the extent to which third-party sites are referenced. Our aim is to study these references and the ecosystem that they create. To gain maximal impact while also allowing for a cross-country comparison, our study is scoped to an assessment of the top 250 sites in the UK, USA, Germany, Russia and Japan. From our analysis, there are various novel contributions of note. These include the empirical identifcation of a vast ecosystem of third-party information processing sites, especially advertisement networks, and the evidential discovery of a few signifcant players irrespective of country and locale. Through a user study, we also fnd that while individuals do have some knowledge of the prevalence of advertisements in websites, their understanding of the variety of activities that occur upon visiting websites, is not widely known. Going forward, we therefore advocate for increased transparency in such activities and the wider online advertisement ecosystem.
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    An investigation into the sensitivity of personal information and implications for disclosure: a UK perspective
    (Frontiers, 2022-06-30) Belen-Saglam, Rahime; Nurse, Jason R. C.; Hodges, Duncan
    The perceived sensitivity of information is a crucial factor in both security and privacy concerns and the behaviors of individuals. Furthermore, such perceptions motivate how people disclose and share information with others. We study this topic by using an online questionnaire where a representative sample of 491 British citizens rated the sensitivity of different data items in a variety of scenarios. The sensitivity evaluations revealed in this study are compared to prior results from the US, Brazil and Germany, allowing us to examine the impact of culture. In addition to discovering similarities across cultures, we also identify new factors overlooked in the current research, including concerns about reactions from others, personal safety or mental health and finally, consequences of disclosure on others. We also highlight a difference between the regulatory perspective and the citizen perspective on information sensitivity. We then operationalized this understanding within several example use-cases exploring disclosures in the healthcare and finance industry, two areas where security is paramount. We explored the disclosures being made through two different interaction means: directly to a human or chatbot mediated (given that an increasing amount of personal data is shared with these agents in industry). We also explored the effect of anonymity in these contexts. Participants showed a significant reluctance to disclose information they considered “irrelevant” or “out of context” information disregarding other factors such as interaction means or anonymity. We also observed that chatbots proved detrimental to eliciting sensitive disclosures in the healthcare domain; however, within the finance domain, there was less effect. This article's findings provide new insights for those developing online systems intended to elicit sensitive personal information from users.
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    Personal information: perceptions, types and evolution
    (Elsevier, 2022-03-26) Saglam, Rahime Belen; Nurse, Jason R. C.; Hodges, Duncan
    Advances in technology have made us as a society think more about cyber security and privacy, particularly how we consider and protect personal information. Such developments have introduced a temporal dimension to the definition of personal information and we have also witnessed new types of data emerging (e.g., phone sensor data, stress level measurements). These rapid technological changes introduce several challenges as legislation is often inadequate, and therefore questions regularly arise pertaining whether information should be considered personal or sensitive and thereby better protected. In this paper, therefore, we look to significantly advance research into this domain by investigating how personal information is regarded in governmental legislations/regulations, privacy policies of applications, and academic research articles. Through an assessment of how personal information has evolved and is perceived differently (e.g., in the context of sensitivity) across these key stakeholders, this work contributes to the understanding of the fundamental disconnects present and also the social implications of new technologies. Furthermore, we introduce a series of novel taxonomies of personal information which can significantly support and help guide how researchers and practitioners work with, or develop tools to protect, such information.
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    Privacy concerns in chatbot interactions: when to trust and when to worry
    (Springer, 2021-07-03) Belen Saglam, Rahime; Nurse, Jason R. C.; Hodges, Duncan
    Through advances in their conversational abilities, chatbots have started to request and process an increasing variety of sensitive personal information. The accurate disclosure of sensitive information is essential where it is used to provide advice and support to users in the healthcare and finance sectors. In this study, we explore users’ concerns regarding factors associated with the use of sensitive data by chatbot providers. We surveyed a representative sample of 491 British citizens. Our results show that the user concerns focus on deleting personal information and concerns about their data’s inappropriate use. We also identified that individuals were concerned about losing control over their data after a conversation with conversational agents. We found no effect from a user’s gender or education but did find an effect from the user’s age, with those over 45 being more concerned than those under 45. We also considered the factors that engender trust in a chatbot. Our respondents’ primary focus was on the chatbot’s technical elements, with factors such as the response quality being identified as the most critical factor. We again found no effect from the user’s gender or education level; however, when we considered some social factors (e.g. avatars or perceived ‘friendliness’), we found those under 45 years old rated these as more important than those over 45. The paper concludes with a discussion of these results within the context of designing inclusive, digital systems that support a wide range of users.
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    Remote working pre- and post-COVID-19: an analysis of new threats and risks to security and privacy
    (Springer, 2021-07-03) Nurse, Jason R. C.; Williams, Nikki; Collins, Emily; Panteli, Niki; Blythe, John; Koppelman, Ben
    COVID-19 has radically changed society as we know it. To reduce the spread of the virus, millions across the globe have been forced to work remotely, often in make-shift home offices, and using a plethora of new, unfamiliar digital technologies. In this article, we critically analyse cyber security and privacy concerns arising due to remote working during the coronavirus pandemic. Through our work, we discover a series of security risks emerging because of the realities of this period. For instance, lack of remote-working security training, heightened stress and anxiety, rushed technology deployment, and the presence of untrusted individuals in a remote-working environment (e.g., in flatshares), can result in new cyber-risk. Simultaneously, we find that as organisations look to manage these and other risks posed by their remote workforces, employee’s privacy (including personal information and activities) is often compromised. This is apparent in the significant adoption of remote workplace monitoring, management and surveillance technologies. Such technologies raise several privacy and ethical questions, and further highlight the tension between security and privacy going forward.
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    Sharing secrets with agents: improving sensitive disclosures using chatbots
    (Springer, 2021-07-03) Buckley, Oliver; Nurse, Jason R. C.; Wyer, Natalie; Dawes, Helen; Hodges, Duncan; Earl, Sally; Belen Saglam, Rahime
    There is an increasing shift towards the use of conversational agents, or chatbots, thanks to their inclusion in consumer hardware (e.g. Alexa, Siri and Google Assistant) and the growing number of essential services moving online. A chatbot allows an organisation to deal with a large volume of user queries with minimal overheads, which in turn allows human operators to deal with more complex issues. In this paper we present our work on maximising responsible, sensitive disclosures to chatbots. The paper focuses on two key studies, the first of which surveyed participants to establish the relative sensitivity of a range of disclosures. From this, we found that participants were equally comfortable making financial disclosures to a chatbot as to a human. The second study looked to support the dynamic personalisation of the chatbot in order to improve the disclosures. This was achieved by exploiting behavioural biometrics (keystroke and mouse dynamics) to identify demographic information about anonymous users. The research highlighted that a fusion approach, combining both keyboard and mouse dynamics, was the most reliable predictor of these biographic characteristics.
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    Trust disruption and preservation in the Covid-19 work from home context
    (Emerald, 2022-08-24) Panteli, Niki; Nurse, Jason R. C.; Collins, Emily; Williams, Nikki
    Purpose The paper posits that the enforced work from home (WFH) arrangement due to Covid-19 provides a unique setting for the study of trust in changing contexts. The purpose of this study, therefore, is to examine to what extent Covid-19 WFH changed trust relationships among remote employees, their managers and organisations and how this has taken place. Design/methodology/approach The study used semi-structured interviews with employees and managers from different organisations across different sectors. Interviews were supported with image prompts as suggested by the storyboarding method, and took place between November 2020 and February 2021. Thematic analysis was used to analyse the data. Findings The findings identified factors that contribute to trust disruption and factors that led to trust preservation within the changing workspace landscape enforced by WFH environment. Employees reported trust in their organisations, feeling as though their organisations proven resilient at the time of the crisis caused by the pandemic. Interestingly, managers reported trust in employees to remain productive but also anxieties due to the possible presence of others in the household. Originality/value The study identified factors that affect intra-organisational trust that have not been previously recognised, exposing tensions and challenges that may disrupt trust relations between managers and employees whilst also identifying evidence of trust preservation in the Covid-19 WFH context. The study has implications for workplace learning within the remote, WFH context, which are discussed.