Evaluating the impact of physical activity apps and wearables: interdisciplinary review

Background: Although many smartphone apps and wearables have been designed to improve physical activity, their rapidly evolving nature and complexity present challenges for evaluating their impact. Traditional methodologies, such as randomized controlled trials (RCTs), can be slow. To keep pace with rapid technological development, evaluations of mobile health technologies must be efficient. Rapid alternative research designs have been proposed, and efficient in-app data collection methods, including in-device sensors and device-generated logs, are available. Along with effectiveness, it is important to measure engagement (ie, users’ interaction and usage behavior) and acceptability (ie, users’ subjective perceptions and experiences) to help explain how and why apps and wearables work. Objectives: This study aimed to (1) explore the extent to which evaluations of physical activity apps and wearables: employ rapid research designs; assess engagement, acceptability, as well as effectiveness; use efficient data collection methods; and (2) describe which dimensions of engagement and acceptability are assessed. Method: An interdisciplinary scoping review using 8 databases from health and computing sciences. Included studies measured physical activity, and evaluated physical activity apps or wearables that provided sensor-based feedback. Results were analyzed using descriptive numerical summaries, chi-square testing, and qualitative thematic analysis. Results: A total of 1829 abstracts were screened, and 858 articles read in full. Of 111 included studies, 61 (55.0%) were published between 2015 and 2017. Most (55.0%, 61/111) were RCTs, and only 2 studies (1.8%) used rapid research designs: 1 single-case design and 1 multiphase optimization strategy. Other research designs included 23 (22.5%) repeated measures designs, 11 (9.9%) nonrandomized group designs, 10 (9.0%) case studies, and 4 (3.6%) observational studies. Less than one-third of the studies (32.0%, 35/111) investigated effectiveness, engagement, and acceptability together. To measure physical activity, most studies (90.1%, 101/111) employed sensors (either in-device [67.6%, 75/111] or external [23.4%, 26/111]). RCTs were more likely to employ external sensors (accelerometers: P=.005). Studies that assessed engagement (52.3%, 58/111) mostly used device-generated logs (91%, 53/58) to measure the frequency, depth, and length of engagement. Studies that assessed acceptability (57.7%, 64/111) most often used questionnaires (64%, 42/64) and/or qualitative methods (53%, 34/64) to explore appreciation, perceived effectiveness and usefulness, satisfaction, intention to continue use, and social acceptability. Some studies (14.4%, 16/111) assessed dimensions more closely related to usability (ie, burden of sensor wear and use, interface complexity, and perceived technical performance). Conclusions: The rapid increase of research into the impact of physical activity apps and wearables means that evaluation guidelines are urgently needed to promote efficiency through the use of rapid research designs, in-device sensors and user-logs to assess effectiveness, engagement, and acceptability. Screening articles was time-consuming because reporting across health and computing sciences lacked standardization. Reporting guidelines are therefore needed to facilitate the synthesis of evidence across disciplines

muSR and Magnetometry Study of the Type-I Superconductor BeAu

We present muon spin rotation and relaxation (muSR) measurements as well as demagnetising field corrected magnetisation measurements on polycrystalline samples of the noncentrosymmetric superconductor BeAu. From muSR measurements in a transverse field, we determine that BeAu is a type-I superconductor with Hc = 256 Oe, amending the previous understanding of the compound as a type-II superconductor. To account for demagnetising effects in magnetisation measurements, we produce an ellipsoidal sample, for which a demagnetisation factor can be calculated. After correcting for demagnetising effects, our magnetisation results are in agreement with our muSR measurements. Using both types of measurements we construct a phase diagram from T = 30 mK to Tc = 3.25 K. We then study the effect of hydrostatic pressure and find that 450 MPa decreases Tc by 34 mK, comparable to the change seen in type-I elemental superconductors Sn, In and Ta, suggesting BeAu is far from a quantum critical point accessible by the application of pressure.Comment: 10 pages, 8 figure

A Socio-Informatic Approach to Automated Account Classification on Social Media

Automated accounts on social media have become increasingly problematic. We propose a key feature in combination with existing methods to improve machine learning algorithms for bot detection. We successfully improve classification performance through including the proposed feature.Comment: International Conference on Social Media and Societ

Effect of heuristics on serendipity in path-based storytelling with linked data

Path-based storytelling with Linked Data on the Web provides users the ability to discover concepts in an entertaining and educational way. Given a query context, many state-of-the-art pathfinding approaches aim at telling a story that coincides with the user's expectations by investigating paths over Linked Data on the Web. By taking into account serendipity in storytelling, we aim at improving and tailoring existing approaches towards better fitting user expectations so that users are able to discover interesting knowledge without feeling unsure or even lost in the story facts. To this end, we propose to optimize the link estimation between - and the selection of facts in a story by increasing the consistency and relevancy of links between facts through additional domain delineation and refinement steps. In order to address multiple aspects of serendipity, we propose and investigate combinations of weights and heuristics in paths forming the essential building blocks for each story. Our experimental findings with stories based on DBpedia indicate the improvements when applying the optimized algorithm

Hierarchy-in-flux: Co-evolving a distributed user interface for orbiting robots

The role of context has been an important focus for Human-Computer Interaction research since the beginning of the Second Wave of HCI. While different theoretical frameworks within the HCI community have different approaches to analysing context, they do so always with the object of understanding its effects on human-machine interaction, often with the larger goal of generating insights into future designs. The forces that shape context itself are typically ignored in these analyses because they are not considered relevant to the interaction itself, which is the focus of HCI. Yet if these forces were to create different contexts for interaction those changes would be relevant to HCI research. This suggests that HCI might benefit from techniques that analyse and design for the creation of the institutional structures that constrain human-machine interactions. We present the notions of multi-scale analysis and multi-scale design as terms which describe approaches that seek to engage the different disciplinary proficiencies that create the context for interaction. In doing so we make the case for a new kind of design education that strives to create multidisciplinary designers capable of harnessing the dynamics of systems at different levels of abstraction to achieve outcomes that exceed what we might expect from HCI alone

Self-Control in Cyberspace: Applying Dual Systems Theory to a Review of Digital Self-Control Tools

Many people struggle to control their use of digital devices. However, our understanding of the design mechanisms that support user self-control remains limited. In this paper, we make two contributions to HCI research in this space: first, we analyse 367 apps and browser extensions from the Google Play, Chrome Web, and Apple App stores to identify common core design features and intervention strategies afforded by current tools for digital self-control. Second, we adapt and apply an integrative dual systems model of self-regulation as a framework for organising and evaluating the design features found. Our analysis aims to help the design of better tools in two ways: (i) by identifying how, through a well-established model of self-regulation, current tools overlap and differ in how they support self-control; and (ii) by using the model to reveal underexplored cognitive mechanisms that could aid the design of new tools.Comment: 11.5 pages (excl. references), 6 figures, 1 tabl

Gen X and Digital Games: Looking back to look forward

Despite there being increased attention in recent years to older adults who actively play digital games, it seems that there has been comparatively minimal scholarly focus on the next generation of older adult gamers – Generation X gamers. Although there have been few, current audience studies that examine this population within a gaming context, a temporal perspective reveals another story. Older members of this generation were the first age cohort to be exposed to and engage in video gameplay at an early age (i.e., childhood). With the emerging popularity of video games in the 1980s, this did not escape the attention of scholars. This study provides an overview of those early studies that assessed video game use and its potential (for better or worse) among the older members Gen X. The study themes identified include: health, education, and behavior. In addition, the first studies that identified gaming characteristics of this generation in their formative years emerged in the latter half of that decade. By identifying themes in these early studies, scholars have the potential to track an entire generation’s gaming history and characteristics from childhood to present day. Ultimately, this may glean richer insight into those qualities when they become the next older generation of digital game players

Archives in DNA:Exploring implications of an emerging bio-digital technology through design fiction

Continuing developments in DNA-based digital data storage systems promise us a sustainable, techno-utopian future; propositioning bio-digital solutions addressing the ever-increasing global data production, and inadequacies of conventional storage infrastructure to meet the demand. Distinct attributes of DNA make it an attractive archival medium. With its ability to retain high density of digital information cheaply, and to do so over multi-lifespans, DNA-based storage systems are seen as able to radically shape how we archive and use data, across wide-ranging applications. However, while the stakeholders continue to refine and race towards commercialization of the emerging technology, its sociocultural and ethical implications remain unexplored, limiting opportunities to generate insights on how such systems could be better designed and experienced. This workshop begins to explore what our DNA-mediated archival futures may hold. We learn about the fundamental principles governing the new technology and create stories about its pervasion in our lives, mediated through design fiction and structured discourse