Recent years have seen significant advances in the sensing capabilities of smartphones, enabling them to collect rich contextual information such as location, device usage, and human activity at a given point in time. Combined with widespread user adoption and the ability to gather user data remotely, smartphone-based sensing has become an appealing choice for health research. Numerous studies over the years have demonstrated the promise of using smartphone-based sensing to monitor a range of health conditions, particularly mental health conditions. However, as research is progressing to develop the predictive capabilities of smartphones, it becomes even more crucial to fully understand the capabilities and limitations of using this technology, given its potential impact on human health. To this end, this paper presents a narrative review of smartphone-sensing literature from the past 5 years, to highlight the opportunities and challenges of this approach in healthcare. It provides an overview of the type of health conditions studied, the types of data collected, tools used, and the challenges encountered in using smartphones for healthcare studies, which aims to serve as a guide for researchers wishing to embark on similar research in the future. Our findings highlight the predominance of mental health studies, discuss the opportunities of using standardized sensing approaches and machine-learning advancements, and present the trends of smartphone sensing in healthcare over the years.

Previous research on employee voice has sought to design technological solutions that address the challenges of speaking up in the workplace. However, effectively embedding employee voice systems in organisations requires designers to engage with the social processes, power relations and contextual factors of individual workplaces. We explore this process within a university workplace through a research project responding to a crisis in educational service delivery arising from the COVID-19 pandemic. Within a successful three-month staff-led engagement, we examined the intricacies of embedding employee voice, exploring how the interactions between existing actors impacted the effectiveness of the process. We sought to identify specific actions to promote employee voice and overcome barriers to its successful establishment in organisational decision-making. We highlight design considerations for an effective employee voice system that facilitates embedding employee voice, including assurance, bounded accountability and bias reflexivity.

Document redaction has become increasingly important for individuals and organizations. This article investigates public-sector information redaction practices in order to determine if they adequately protect personal information from accidental disclosure due to redaction errors. Despite the importance of this in respect of data protection, 66.4% of those Public Authorities that responded did not hold formal policies or procedures at all . To assess those policies that did exist, we produced a 17-item check list of minimum best practice. Even those with policies and procedures had substantial defects to some degree (with the median performance being 29.4% on our checklist), with policies frequently recommending the use of high-risk redaction methods and overlooking essential practices. This means that these existing practices amount to widespread breaches of data protection law on the ground. To remedy this, we articulate a new set of document redaction standards, which overcome the existing inadequacies in current guidance, as well as make proposals for regulatory reform in this space.

In today’s age of data-driven healthcare, the growing utilization of health data to inform critical aspects of patient care and medical research places an ever increasing significance on its governance. This study aims to explore the perspectives of individuals living with Parkinson’s Disease regarding their needs and preferences in relation to data governance. We first conducted a survey (n=52) to explore the types of data people with Parkinson’s generate through their self-care practices, and then conducted 3 workshops with 9 participants to understand their perspectives on the governance of this type of data. Through this work, we highlight the factors that motivate them to collect self-care data, and present their requirements for its governance, which could inform the design of future infrastructure to support these needs. We also showcase how speculative approaches can be used to engage communities in discussions around data collection and governance.

Over the last 7 years arguing about matters of computer science in the legal system, the author has encountered a large number of incorrect technical propositions, advanced by asserted “IT experts.” This article explores the wider ethical issues that arise from this situation and proposes a pathway for the computer science community to resolve the underlying problems.

The rich detail generated by qualitative research is essential for understanding workplace contexts and processes for organizational development. This can be a highly involved and extensive process, thus limiting the number of people who can normally be allowed to fully participate. This is especially problematic when it comes to workplace collaboration and development, as it means that a large number of voices are not considered and heard. In this paper, we provide and implement a novel semi-automated approach that enables large-scale qualitative research. This was done within the context of developing a new organizational strategy for a large and diverse multi-lingual international development organization. We included over 150 different stakeholders whilst enabling their views to be collected and analyzed in depth. This case study demonstrates how to effectively implement qualitative interview research at scale with an application to the employee voice setting, contributing the tools and means to achieve this.