Technological Change in the Retirement Transition and the Implications for Cybersecurity Vulnerability in Older Adults

Retirement is a major life transition, which leads to substantial changes across almost all aspects of day-to-day life. Although this transition has previously been seen as the normative marker for entry into older adulthood, its influence on later life has remained relatively unstudied in terms of technology use and cybersecurity behaviours. This is problematic as older adults are at particular risk of becoming victims of cyber-crime. This study aimed to investigate which factors associated with the retirement transition were likely to increase vulnerability to cyber-attack in a sample of 12 United Kingdom based older adults, all of whom had retired within the past 5 years. Semi-structured, one to one interviews were conducted and subsequently analysed using thematic analysis. Six themes were identified referring to areas of loss in: social interaction, finances, day-to-day routine, feelings of competence, sense of purpose, and technology support structures. We discuss the implications of these losses for building cyber-resilience in retirees, with suggestions for future research

Detecting Important Life Events on Twitter Using Frequent Semantic and Syntactic Subgraphs

Identifying global events from social media has been the focus of much research in recent years. However, the identification of personal life events poses new requirements and challenges that have received relatively little research attention. In this paper we explore a new approach for life event identification, where we expand social media posts into both semantic, and syntactic networks of content. Frequent graph patterns are mined from these networks and used as features to enrich life-event classifiers. Results show that our approach significantly outperforms the best performing baseline in accuracy (by 4.48% points) and F-measure (by 4.54% points) when used to identify five major life events identified from the psychology literature: Getting Married, Having Children, Death of a Parent, Starting School, and Falling in Love. In addition, our results show that, while semantic graphs are effective at discriminating the theme of the post (e.g. the topic of marriage), syntactic graphs help identify whether the post describes a personal event (e.g. someone getting married)

Investigating privacy in an ambient world

ABSTRACT Ambient Intelligence (AmI) and ubiquitous computing allow us to consider a future where computation is embedded into our daily social lives. This vision raises its own important questions and augments the need to understand how people will achieve and maintain privacy. As a result, we have recently conducted a wide reaching study of people's attitudes to potential AmI scenarios with a view to eliciting their privacy concerns. The focus of this paper will be on the method used and preliminary findings will be discussed

Social and environmental influences on the use of technology in public spaces

This thesis is concerned with understanding and describing the factors that influence the use of technology in public spaces. Adoption and use of technological systems over the past few decades has grown considerably. With increased use the role of technology now pervades nearly every aspect of social interaction. Systems are now used more and more in public areas however it appears a somewhat ignored and little understood area of research within the human computer interaction (HCI) literature. Therefore new methods of assessment are required. Investigating human interaction with technologies in public places provides a new way to conceptualise and study interaction and in particular relate findings to new technologies. Existing methods and guidelines related to the use of technology fail to consider socio-environmental factors. New methods of assessment should allow the examination of how socio-environmental and usability factors influence use of technology in public areas. To assess how socio-environmental factors influence the use of technology in public spaces nine studies were undertaken using convergent methodologies. This has allowed a detailed examination and exploration of how socio-environmental factors influence the use. These investigations have led to the development of a questionnaire that is a valid, reliable psychometric tool and the Technology Acceptance Models for Public Space Technologies (TAMPS) that measures use of technology in public areas. Rather than focus purely on accessibility and usability factors this thesis has enabled the integration of those and socio-environmental influences. The results suggest success in evaluating or facilitating adoption and use of ubiquitous and mobile devices acknowledging how social and environmental factors influence use is crucial. The HCI community, designers and service providers need to integrate findings from this thesis in future system design which will lead to technologies that are efficient, effective and satisfying to use.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Recognising diversity in older adults' cybersecurity needs

Older adults continue to be targeted by cybersecurity attacks: a trend which shows no signs of slowing, and one that has become even more problematic given that many older adults adopted new digital technologies during the Covid-19 lockdowns. Yet there remains a scarcity of solutions designed to help older adults protect themselves online. In part, this is due to a lack of understanding of the specific needs of older adults, who are the fastest growing, and arguably most technologically diverse population on the internet. This study draws upon recent qualitative research to identify key dimensions which are likely to influence older adult cybersecurity behaviour and subsequent vulnerability. We show how these dimensions can be used, for example, to develop a wide range of personas that help illustrate the range of abilities and attitudes in the older adult population. The dimensions outlined here can be used to help researchers, designers, and developers better understand the diverse needs of older adult users when developing digital or security solutions for this population

Exploring the relationship between impulsivity and decision-making on mobile devices

Mobile devices offer a common platform for both leisure and work-related tasks but this has resulted in a blurred boundary between home and work. In this paper we explore the security implications of this blurred boundary, both for the worker and the employer. Mobile workers may not always make optimum security-related choices when ‘on the go’ and more impulsive individuals may be particularly affected as they are considered more vulnerable to distraction. In this study we used a task scenario, in which 104 users were asked to choose a wireless network when responding to work demands while out of the office. Eye-tracking data was obtained from a subsample of 40 of these participants in order to explore the effects of impulsivity on attention. Our results suggest that impulsive people are more frequent users of public devices and networks in their day-to-day interactions and are more likely to access their social networks on a regular basis. However they are also likely to make risky decisions when working on-the-go, processing fewer features before making those decisions. These results suggest that those with high impulsivity may make more use of the mobile Internet options for both work and private purposes but they also show attentional behavior patterns that suggest they make less considered security-sensitive decisions. The findings are discussed in terms of designs that might support enhanced deliberation, both in the moment and also in relation to longer term behaviors that would contribute to a better work-life balance

P.S. I love you : understanding the impact of posthumous digital messages

A number of digital platforms and services have recently emerged that allow users to create posthumous forms of communication, effectively arranging for the delivery of messages from ‘beyond the grave’. Despite some evidence of interest and popularity of these services, little is known about how posthumous messages may impact the people who receive them. We present a qualitative study that explores the type of experiences potentially triggered upon receiving such messages. Our findings firstly suggest that posthumous messaging services have the potential to alter the relationship between the bereaved and the deceased, and secondly provide insight into how users make sense of this altered relationship. Through the inference of a set of design considerations for posthumous communication services, we reveal a number of conflicts that are not easily solvable through technological means alone, and which may serve as starting points for further research. Our work extends the growing body of research that is concerned with digital interactions related to death and dying

Identifying Prominent Life Events on Twitter

Social media is a common place for people to post and share digital reflections of their life events, including major events such as getting married, having children, graduating, etc. Although the creation of such posts is straightforward, the identification of events on online media remains a challenge. Much research in recent years focused on extracting major events from Twitter, such as earthquakes, storms, and floods. This paper however, targets the automatic detection of personal life events, focusing on five events that psychologists found to be the most prominent in people lives. We define a variety of features (user, content, semantic and interaction) to capture the characteristics of those life events and present the results of several classification methods to automatically identify these events in Twitter. Our proposed classification methods obtain results between 0.84 and 0.92 F1-measure for the different types of life events. A novel contribution of this work also lies in a new corpus of tweets, which has been annotated by using crowdsourcing and that constitutes, to the best of our knowledge, the first publicly available dataset for the automatic identification of personal life events from Twitter

Identifying Important Life Events from Twitter Using Semantic and Syntactic Patterns

Identifying global events from social media has been the focus of much research in recent years. However, the identification of personal life events poses new requirements and challenges that have received relatively little research attention. In this paper we explore a new approach for life event identification, where we expand social media posts into both semantic, and syntactic networks of content. Frequent graph patterns are mined from these networks and used as features to enrich life-event classifiers. Results show that our approach significantly outperforms the best performing baseline in accuracy (by 4.48% points) and F-measure (by 4.54% points) when used to identify five major life events identified from the psychology literature: Getting Married, Having Children, Death of a Parent, Starting School, and Falling in Love. In addition, our results show that, while semantic graphs are effective at discriminating the theme of the post (e.g. the topic of marriage), syntactic graphs help identify whether the post describes a personal event (e.g. someone getting married)

Location tracking: views from the older adult population

Background: there has been a rise in the use of social media applications that allow people to see where friends, family and nearby services are located. Yet while uptake has been high for younger people, adoption by older adults is relatively slow, despite the potential health and social benefits. In this paper, we explore the barriers to acceptance of location-based services (LBS) in a community of older adults. Objective: to understand attitudes to LBS technologies in older adults. Methods: eighty-six older adults used LBS for 1-week and completed pre- and post-use questionnaires. Twenty available volunteers from the first study also completed in-depth interviews after their experience using the LBS technology. Results: the pre-use questionnaire identified perceptions of usefulness, individual privacy and visibility as predictive of intentions to use a location-tracking service. Post-use, perceived risk was the only factor to predict intention to use LBS. Interviews with participants revealed that LBS was primarily seen as an assistive technology and that issues of trust and privacy were important. Conclusion: the findings from this study suggest older adults struggle to see the benefits of LBS and have a number of privacy concerns likely to inhibit future uptake of location-tracking services and devices