User Agency Research Articles

The Challenges Toward Real-world Implementation of Digital Health Design Approaches: Narrative Review.

BackgroundDigital health represents an important strategy in the future of health care delivery. Over the past decade, mobile health has accelerated the agency of health care users. Despite prevailing excitement about the potential of digital health, questions remain on efficacy, uptake, usability, and patient outcome. This challenge is confounded by 2 industries, digital and health, which have vastly different approaches to research, design, testing, and implementation. In this regard, there is a need to examine prevailing design approaches, weigh their benefits and challenges toward implementation, and recommend a path forward that synthesizes the needs of this complex stakeholder group.ObjectiveIn this review, we aimed to study prominent digital health intervention design approaches that mediate the digital health space. In doing so, we sought to examine the origins, perceived benefits, contrasting nuances, challenges, and typical use-case scenarios of each methodology.MethodsA narrative review of digital health design approaches was performed between September 2020 and April 2021 by referencing keywords such as “digital health design,” “mHealth design,” “e-Health design,” “agile health,” and “agile healthcare.” The studies selected after screening were those that discussed the design and implementation of digital health design approaches. A total of 120 studies were selected for full-text review, of which 62 (51.6%) were selected for inclusion in this review.ResultsA review identifying the 5 overarching digital health design approaches was compiled: user-centered design, person-based design, human-centered design, patient-centered design, and patient-led design. The findings were synthesized in a narrative structure discussing the origins, advantages, disadvantages, challenges, and potential use-case scenarios.ConclusionsDigital health is experiencing the growing pains of rapid expansion. Currently, numerous design approaches are being implemented to harmonize the needs of a complex stakeholder group. Whether the end user is positioned as a person, patient, or user, the challenge to synthesize the constraints and affordances of both digital design and health care, built equally around user satisfaction and clinical efficacy, remains paramount. Further research that works toward a transdisciplinarity in digital health may help break down friction in this field. Until digital health is viewed as a hybridized industry with unique requirements rather than one with competing interests, the nuances that each design approach posits will be difficult to realize in a real-world context. We encourage the collaboration of digital and health experts within hybrid design teams, through all stages of intervention design, to create a better digital health culture and design ethos.

The Politics of User-Driven Innovation: On innovative users, do-able needs, and frugal robots

Users play an increasingly important role in European innovation policy. They are commonly seen as drivers of and active co-creators within innovation processes. However, user-driven innovation remains infused with a number of assumptions about users, technology, and “successful” innovation, which (partly) undermine a more democratic, open approach to innovation. In this contribution, I investigate the interplay between broader policy assumptions in the European discourse on user-driven innovation and its practical performance within an innovation project centring on healthcare robotics. Here, I argue that the politics of user-driven innovation harbours particular assumptions that, in effect, restrict the agency of users while also engendering conflict and contradictory outcomes. Hence, user-driven innovation is not simply about users driving innovation but rather about interfacing users and their concerns with (robotics) developers and their technology. For this, I propose an analytics of interfacing, which draws together literatures on the performative dynamics of participatory processes and more recent work on the political economy of participation. Here, I contend that it is not enough to investigate the construction and performance of publics; rather, it is additionally necessary to follow the manifold practices by which those publics are rendered available for certain technological solutions – and vice versa. Such an analytical approach opens up a fruitful avenue to critically enquire into the politics of participation – sitting in between innovation policy and practice.

AI agency vs. human agency: understanding human–AI interactions on TikTok and their implications for user engagement

Abstract Artificial intelligence (AI) technology has vastly reshaped user experiences on social media. AI-powered social media use and its outcomes largely depend on how users collaborate with AI that exercises agency. Through in-depth interviews with TikTok users, this study investigates how users collaborate with AI when using AI-powered social media and how such dynamics shape user engagement. We found that TikTok users are receptive to personalized experiences enabled by machine agency. However, by influencing each other, user agency and machine agency also led to user–AI synergy. Users deliberately influence content curation algorithms to make them cater more precisely to their needs; AI also facilitates users’ content creation and networking. Such AI–user collaboration on TikTok significantly influences medium engagement and social-interactive engagement. These findings advance our understanding of the dynamics between human agency and machine agency and, thus, how AI transforms user experiences on social media.

Self-organization in online collaborative work settings

As the volume and complexity of distributed online work increases, collaboration among people who have never worked together in the past is becoming increasingly necessary. Recent research has proposed algorithms to maximize the performance of online collaborations by grouping workers in a top-down fashion and according to a set of predefined decision criteria. This approach often means that workers have little say in the collaboration formation process. Depriving users of control over whom they will work with can stifle creativity and initiative-taking, increase psychological discomfort, and, overall, result in less-than-optimal collaboration results—especially when the task concerned is open-ended, creative, and complex. In this work, we propose an alternative model, called Self-Organizing Pairs (SOPs), which relies on the crowd of online workers themselves to organize into effective work dyads. Supported but not guided by an algorithm, SOPs are a new human-centered computational structure, which enables participants to control, correct, and guide the output of their collaboration as a collective. Experimental results, comparing SOPs to two benchmarks that do not allow user agency, and on an iterative task of fictional story writing, reveal that participants in the SOPs condition produce creative outcomes of higher quality, and report higher satisfaction with their collaboration. Finally, we find that similarly to machine learning-based self-organization, human SOPs exhibit emergent collective properties, including the presence of an objective function and the tendency to form more distinct clusters of compatible collaborators.

When AI moderates online content: effects of human collaboration and interactive transparency on user trust

Abstract Given the scale of user-generated content online, the use of artificial intelligence (AI) to flag problematic posts is inevitable, but users do not trust such automated moderation of content. We explore if (a) involving human moderators in the curation process and (b) affording “interactive transparency,” wherein users participate in curation, can promote appropriate reliance on AI. We test this through a 3 (Source: AI, Human, Both) × 3 (Transparency: No Transparency, Transparency-Only, Interactive Transparency) × 2 (Classification Decision: Flagged, Not Flagged) between-subjects online experiment (N = 676) involving classification of hate speech and suicidal ideation. We discovered that users trust AI for the moderation of content just as much as humans, but it depends on the heuristic that is triggered when they are told AI is the source of moderation. We also found that allowing users to provide feedback to the algorithm enhances trust by increasing user agency.

How Post-Graduate Information Science Students Design Information Resources? Multimodal Information Literacy Perspectives

Information literacy have been conceptualized by numerous researchers and organizations for a long time. Especially after the prevalence of ICT and screen-based digital communication tools which make a constant connection among people, information literacy has recently been re-conceptualized regarding the new culture, user agency, and text structure. Under these conditions, individuals are seen to make meaning of existing information resources and create new information resources as the parts of socialized information construction processes. Therefore, individuals are considered active designers of information resources. In this respect, this study aims to explore how individuals design information resources which are expected to have multimodal semiotic text structure. A qualitative descriptive method was adopted, and data was analyzed both quantitatively and qualitatively. 16 post-graduate Department of Information and Records Management students joined the study. 64 information resources (participant-generated texts) were analyzed. Results demonstrate that the semiotic structure of information resources is far from having high meaning-making potential and mostly dominantly monomodal instead of being multimodal. The study recommends that information literacy education should also focus on how to design semiotic rich and multimodal information resources to be effective contributors to information construction.

Understanding Engagement With Forensic Smartphone Apps: The Service Design Engagement Model.

Justice services have begun to integrate the use of mobile applications into treatment, support, and rehabilitative programs for forensic clients. One such application that been adopted to support forensic clients is "eRecovery": a smartphone application that provides clients recovering from a substance addiction with support for managing relapse. In this article, we report on evaluation findings from a trial of eRecovery in an Australian Community Justice Centre, and reflect on several issues relating to fostering and sustaining client engagement with similar applications within forensic and justice settings. We propose the Service Design Engagement Model to organize, visualize, and describe the stages and factors important to adoption, appropriation, and on-going routine use of the software by forensic clients. The model recognizes the role of contextual and environmental factors in supporting users through the early stages of engagement, and the importance of user agency in longer-term engagement with therapeutic apps.

Enhancing human agency through redress in Artificial Intelligence Systems.

Recently, scholars across disciplines raised ethical, legal and social concerns about the notion of human intervention, control, and oversight over Artificial Intelligence (AI) systems. This observation becomes particularly important in the age of ubiquitous computing and the increasing adoption of AI in everyday communication infrastructures. We apply Nicholas Garnham's conceptual perspective on mediation to users who are challenged both individually and societally when interacting with AI-enabled systems. One way to increase user agency are mechanisms to contest faulty or flawed AI systems and their decisions, as well as to request redress. Currently, however, users structurally lack such mechanisms, which increases risks for vulnerable communities, for instance patients interacting with AI healthcare chatbots. To empower users in AI-mediated communication processes, this article introduces the concept of active human agency. We link our concept to contestability and redress mechanism examples and explain why these are necessary to strengthen active human agency. We argue that AI policy should introduce rights for users to swiftly contest or rectify an AI-enabled decision. This right would empower individual autonomy and strengthen fundamental rights in the digital age. We conclude by identifying routes for future theoretical and empirical research on active human agency in times of ubiquitous AI.

Antifragile Behavior Change Through Digital Health Behavior Change Interventions.

Digital health behavior change interventions (DHBCIs) offer users accessible support, yet their promise to improve health behaviors at scale has not been met. One reason for this unmet potential may be a failure to offer users support that is tailored to their personal characteristics and goals. We apply the concept of antifragility to propose how DHBCIs could be better designed to support diverse users’ behavior change journeys. We first define antifragility as a feature of an individual’s relationship to a particular challenge such that if one is antifragile to a challenge, one is well positioned to benefit from facing that challenge. Second, we introduce antifragile behavior change to describe behavior change processes that leverage person-specific antifragilities to maximize benefits and minimize risk in the behavior change process. While most existing behavior change models focus on improving one’s motivation and ability to face challenges, antifragile behavior change complements these models by helping to select challenges that are most likely to produce desired outcomes. Next, we propose three principles by which DHBCIs can help users to develop antifragile behavior change strategies: providing personalized guidance, embracing variance and exploration in choosing behaviors, and prioritizing user agency. Finally, we offer an example of how a DHBCI could be designed to support antifragile behavior change.

Corona Haikus

When I moved from linear documentary production to the newly emerging field of interactive storytelling in the early 2000, I was excited by the potentialities of the Web, especially the possibility of co-creation in factual storytelling. Looking back, I can clearly see that what attracted me was the exploration of how factual narratives could make use of two affordances that are unique to digital media: user agency and interactivity. More than twenty years later, I am still experimenting with ways to use interactivity to facilitate co-creation of reality and move away from simple representation in documentary making (Gaudenzi 2013). In this paper, I will use the Corona Haikus project (2020), to question the current understanding of user agency in participatory interactive narratives. I have chosen such project because I have personally been involved in it as a co-author, but also as a participant, and therefore I have both co-designed its user’s agency, and experienced it as a user. I will argue that agency in interactive documentary (i-doc) should be considered as a space of user empowerment that does not always have to affect the interactive narrative itself, because it can also be placed outside of the narrated story. The Corona Haikus example will be used to demonstrate that, in participatory narratives, deep individual and societal impact can be designed by mixing different types of mini-agencies and by orchestrating them as a journey of empowerment that is gradual and evolutive. Reflexive and evolutive agencies will be defined and presented as new ways to approach impact design in interactive narratives.

Technological affordances versus narrative delivery?: the practice of recent virtual reality storytelling

ABSTRACT Subsequent to virtual reality (VR) technologies becoming cheaper and more accessible, a new generation of practitioners have focused on the affordances and opportunities that VR can offer to storytelling. A recurring concern is how to understand the value of VR’s interactivity and how its additional, spatialised, audiovisual data can aid storytelling rather than provide surplus distraction. By focusing on three specific areas – interactive affordance; authorial and user agency; and first and third-person perspectives – this article outlines how practice in the field of VR production can lead to inductive responses to these issues, as well as their relationship with the historical questions that are raised around the implementation of new audiovisual technologies. Through a discussion of a recent VR project, Embodied, this article considers how VR technology and content can combine to explore new interactive narrative possibilities.

Digital data donations: A quest for best practices

This preview article discusses PORT—a data donation software newly developed by Boeschoten et al.—toward the background of three core data donation principles: privacy protection, meaningful data extraction, and securing user agency.

Understanding the Design Space of AI-Mediated Social Interaction in Online Learning: Challenges and Opportunities

Our online interactions are constantly mediated through Artificial Intelligence (AI), especially our social interactions. AI-mediated social interaction is the AI-facilitated process of building and maintaining social connections between individuals through information inferred from people's online posts. With its impending application across a number of contexts, the challenges and opportunities of AI-mediated social interaction remain underexplored. This paper seeks to understand the design space of AI-mediated social interaction in the context of online learning, where students frequently face social isolation. We deployed an AI agent named SAMI in three class discussion forums to help online learners build social connections. Using SAMI as a probe, we conducted semi-structured interviews with 26 students to understand their difficulties in remote social interactions and their experiences with SAMI. Through the lenses of social translucence and social-technical gap, we illustrate online learners' difficulties in remote social interactions and how SAMI resolved some of the difficulties. We also identify potential ethical and social challenges of SAMI such as user agency and privacy. Based on our findings, we outline the design space of AI-mediated social interaction. We discuss the design tension between AI performance and ethical design and pinpoint two design opportunities for AI-mediated social interaction in designing towards human-AI collaborative social matching and artificial serendipity.

Co-Designed Interventions Yield Significant Electricity Savings among Low-Income Households in Makhanda South Africa

Human practices are at the centre of unsustainable electricity use at the household level, which means behaviour change strategies can form pathways towards electricity conservation. Although behaviour change interventions are useful in promoting electricity savings at the household level, they are rarely inclusive and informed by the users of electricity. Using a field-based experiment, this study examines the impact of co-designed interventions on household electricity consumption among low-income households in Makhanda, South Africa. The results show that co-designed interventions yielded significantly more electricity savings (5%) than prescriptive interventions (2%) over the intervention period. Participant households exposed to the co-designed interventions showed electricity savings of up to 14% post the intervention period, suggestive of positive persistent effects. Household size and employment status had a significant negative effect on electricity consumption while age, employment status, and baseline electricity consumption yielded positive effects. Electricity savings were positively correlated with involvement and trust, perceived behavioural control, and the intention to act pro-environmentally. The results highlight that co-designed interventions can yield significant electricity savings, which can in turn, result in grid stability, and reduced electricity expenditures and carbon emissions. A key contribution of this study lies in advancing our understanding of the effects of user-driven approaches in yielding persistent electricity-saving behaviour, which to date has not been a focus of intervention studies. In particular, the findings lend support to notions of supporting the agency of electricity users in co-developing solutions for local sustainability challenges.

Multi-objective optimisation of in-service asphalt pavement maintenance schedule considering system reliability estimated via LSTM neural networks

This article presents a novel system reliability-based framework for multi-objective optimisation of preventive maintenance (PM) management of in-service asphalt pavement. To accurately predict the international roughness index (IRI) sequence of pavement sections, a long short-term memory (LSTM) neural network that considers the spatiotemporal correlations between IRI sequences is trained with data retrieved from the long-term pavement performance (LTPP) program. Based on time-dependent limit-state functions (LSFs) incorporating the uncertainty associated with LSTM neural network prediction and the observational error involved in IRI measurement, Monte Carlo simulation (MCS) with importance sampling (IS) is adopted to calculate the reliability of pavement sections. Pavement sections located in New Mexico and Montana are selected as illustrative examples. Tri-objective optimisation processes are investigated by maximising user benefits (i.e. improved system reliability) and agency benefits (i.e. extended service life) while minimising the associated life-cycle cost (LCC) (i.e. user and agency costs) with multi-objective genetic algorithms (GAs). The obtained Pareto solution sets may assist decision-makers in the selection of well-balanced solutions to identify the optimal timing for applying PM treatments to in-service asphalt pavement.

Exploring user agency and small acts of algorithm engagement in everyday media use

Based on participant-driven media use tracking and self-reflexive media use Vlogs, this article explores how young adult media users make sense of their user agency vis-à-vis algorithms in digital media and how they try actualizing it through reflexive and mundane enactments of algorithmic systems. The article proposes to adapt the concept of ‘small acts of engagement’ to grasp the productive and agentic potentials of how users enact algorithms purposively in daily media use. By engaging research participants actively in reflections to better understand, and possibly respond to the influence of algorithmic power in daily media use, the study unfolds common boundaries of users’ reflexive capabilities, showing how exercising user agency in a datafied age is increasingly complex and prospective, yet not merely limited by algorithmic power. As a result, the article discusses the methodological implications and potentials of engaging media users in reflections and actions to shape their communicative agency, which might be a possible step towards mobilizing algorithmic literacy.

Platform ecology: A user‐centric and relational conceptualization of online platforms

AbstractOnline platforms provide a technological infrastructure allowing social actors to enact and utilize networks with a global reach. They play important roles as intermediaries and algorithm‐based curators of social interaction. This paper addresses two knowledge gaps: First, while a growing number of empirical studies has deepened our insights into the social dynamics characterizing single platforms, little is known about the multiple ways in which users or user groups combine diverse online offers according to their preferences. Second, the empirical focus has mainly been on online interaction. However, in everyday practices, the online is always situated in offline practices. It is thus necessary to understand the complex interdependencies of online and offline spheres. This paper therefore aims to develop an ecological heuristic that positions the user(s) and their practices center stage in the analysis and to elucidate the on/offline opportunity spaces and the affordances and constraints they provide for user agency.

Algorithmic logics and the construction of cultural taste of the Netflix Recommender System

This article investigates algorithms and their construction of cultural taste through a socio-technical analysis of the Netflix Recommender System. I examined the key algorithmic processes in the intersection of its technological infrastructure, cultural processes, and social relations by employing Taina Bucher’s three methodological tactics for ‘unknowing’ algorithms. Drawing from media logic and computational logic, I propose the concept of ‘algorithmic logics’ to define the assumptions, processes, and mechanisms that govern the construction of taste within the Netflix platform. I identified these four logics of taste – datafication, reconfiguration, interpellation, and reproduction – and argue that they reappropriate old apparatuses of social control and generate new capacities in engineering cultural processes. Together, these logics transform algorithms from procedural to self-generative machines in the guise of algorithmic objectivity, user agency, and post-demographic experiences. Algorithmic logics function as an ‘interpretative schema’ in making sense algorithms in their entanglement with social actors, institutions, and infrastructures.

Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency

Twitter uses machine learning to crop images, where crops are centered around the part predicted to be the most salient. In fall 2020, Twitter users raised concerns that the automated image cropping system on Twitter favored light-skinned over dark-skinned individuals, as well as concerns that the system favored cropping woman's bodies instead of their heads. In order to address these concerns, we conduct an extensive analysis using formalized group fairness metrics. We find systematic disparities in cropping and identify contributing factors, including the fact that the cropping based on the single most salient point can amplify the disparities because of an effect we term argmax bias. However, we demonstrate that formalized fairness metrics and quantitative analysis on their own are insufficient for capturing the risk of representational harm in automatic cropping. We suggest the removal of saliency-based cropping in favor of a solution that better preserves user agency. For developing a new solution that sufficiently address concerns related to representational harm, our critique motivates a combination of quantitative and qualitative methods that include human-centered design.

From “Cool Observer” to “Emotional Participant”: The Practice of Immersive Journalism

ABSTRACT Over the past years, innovative technologies (such as Virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR)) have become more common within news organizations. These technologies allow users to immerse themselves in a virtual world. With these types of productions, the journalist tries to engage and involve the user by introducing emotional styles, often to create empathy. This does not only demand new technological skills, but also challenges the way journalist allow emotions in journalistic productions, and what role they take in relation to the story and the user. Through fifteen in-depth interviews with immersive producers and experts in renowned news organizations across the globe, this paper examines both the motivations of journalists who produce immersive stories, and how they seek to balance traditional journalistic norms and emotionality in them. The results show that journalists believe that emotions and facts can be compatible with journalistic production. Yet, they struggle with their role in relation to the user. Immersive journalism obliges journalists to carefully reconsider their relationship with their public. In sum, this study illuminates an ongoing professional debate on the role of emotionality, user agency, and journalistic control and autonomy.