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In 2011, the United Nations declared Internet access to be a basic human right. Achieving universal Internet access has been a longstanding goal of governments around the world. In the United States (US), provision depends primarily on decisions made by Internet Service Providers (ISPs) driven essentially by commercial market concerns. To encourage deployment in underserved regions, the US federal government has recently allocated unprecedented funding, with distributions guided by the information in broadband maps, spatial representations of current Internet access and quality published by the Federal Communication Commission. Yet, these maps are known to be inaccurate, especially for populations that are marginalized, such as tribal and rural residents. We are interested in the collaborative and contentious efforts to repair the data contained in broadband maps, and particularly by the efforts of citizen groups and local government to counter claims made by ISPs. In this paper, we study these efforts via interviews of 14 individuals involved in various local and regional roles, in policy, IT, advocacy, and research. We draw upon frameworks of repair and of data activism to ask who does this work and why; what tangible and intangible tools are brought to bear; and how the structural context simultaneously empowers and burdens repair workers. In doing so, we make three contributions: (i) we critique the process and system for broadband map repair for the burdens it places on historically marginalized groups to demonstrate how they have been left out of expansion and how their experiences are otherwise silent in official records; (ii) we bring together analytical concepts from repair and data arenas to examine repair work that is substantially shaped by socio, political, and economic context; and (iii) we illustrate how viewing broadband data workers as activists reveals the inadequacy of current tools and the opportunity for better support for their long-term, contextualized, and mediated efforts. 

Crowdsourced data collection is a scalable approach to collecting mobile broadband performance data across space. However, existing platforms for crowdsourced mobile broadband measurements are not designed to engage workers over time or space, which can lead to spatial misrepresentation and stale data. With the insight that games and play ofer naturally engaging frameworks for users, we held fve iterative, participatory design sessions with 11 participants to co-design a catalog of 11 game concepts that could be used to create more spatially representative mobile broadband data sets. Importantly, we found that while games varied substantially with respect to theme, all used a few common game mechanics to incorporate mobile broadband data collection into play. This indicates that a designed prototype might focus on offering a customizable gaming structure that would allow communities and individuals to create thematic content that could overlay onto a set of common mechanics that could support more representative geospatial data collection. 

Despite significant cultural strengths and knowledge, Indigenous people around the world experience substantial health inequities due to the historic and ongoing impacts of settler colonialism. As information and communication technologies (ICTs) are increasingly used as part of health interventions to help bridge equity gaps, it is important to characterize and critically evaluate how ICT-facilitated health interventions are designed for and used by Indigenous people. This critical literature review queried articles from three archives focused on health and technology with the goal of identifying cross-cutting challenges and opportunities for ICT-facilitated health interventions in Indigenous communities. Importantly, we use the lens of decolonization to understand important issues that impact Indigenous sovereignty, including the incorporation of Indigenous Knowledge and engagement with data sovereignty. 

Despite high incidence of depression, anxiety, and post traumatic stress disorder, stigma and lack of access to culturally responsive behavioral health care resources prevents many Native Americans (NA) from seeking care. However, the rise of culturally-responsive in-person and digital behavioral health resources for NA communities provides new opportunities to address these longstanding health equity issues. The major challenge is helping people in NA communities find these meaningful resources and helping anchor institutions understand how resources are being sought and utilized to support more responsive internal programming. In this context, we have partnered with Hopi Behavioral Health Services (HBHS) to design the Resilience Resource Database to digitally disseminate mental and behavioral health resources. This paper presents initial findings that have resulted from the initial stage of an iterative participatory design process with HBHS. 

Despite efforts towards pervasive, high-speed broadband connectivity, users worldwide continue to experience a persistent multinetwork reality–a reality of intermittent Internet access over multiple networks of varying capacities across space and time. In this late-breaking work, we investigate the challenges users face while using different Internet-based services and the mitigating strategies they adopt to overcome those challenges in a multinetwork reality. In addition, we also investigate how users envision software-based interventions that might augment their existing strategies and help them better manage their activities in a multinetwork reality. Finally, based on our findings from a qualitative analysis of semi-structured interviews, we explore a two-dimensional design space defined by cognitive and resource costs and discuss directions for future work. 

Background While there are thousands of behavioral health apps available to consumers, users often quickly discontinue their use, which limits their therapeutic value. By varying the types and number of ways that users can interact with behavioral health mobile health apps, developers may be able to support greater therapeutic engagement and increase app stickiness. Objective The main objective of this analysis was to systematically characterize the types of user interactions that are available in behavioral health apps and then examine if greater interactivity was associated with greater user satisfaction, as measured by app metrics. Methods Using a modified PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) methodology, we searched several different app clearinghouse websites and identified 76 behavioral health apps that included some type of interactivity. We then filtered the results to ensure we were examining behavioral health apps and further refined our search to include apps that identified one or more of the following terms: peer or therapist forum, discussion, feedback, professional, licensed, buddy, friend, artificial intelligence, chatbot, counselor, therapist, provider, mentor, bot, coach, message, comment, chat room, community, games, care team, connect, share, and support in the app descriptions. In the final group of 34 apps, we examined the presence of 6 types of human-machine interactivities: human-to-human with peers, human-to-human with providers, human-to–artificial intelligence, human-to-algorithms, human-to-data, and novel interactive smartphone modalities. We also downloaded information on app user ratings and visibility, as well as reviewed other key app features. Results We found that on average, the 34 apps reviewed included 2.53 (SD 1.05; range 1-5) features of interactivity. The most common types of interactivities were human-to-data (n=34, 100%), followed by human-to-algorithm (n=15, 44.2%). The least common type of interactivity was human–artificial intelligence (n=7, 20.5%). There were no significant associations between the total number of app interactivity features and user ratings or app visibility. We found that a full range of therapeutic interactivity features were not used in behavioral health apps. Conclusions Ideally, app developers would do well to include more interactivity features in behavioral health apps in order to fully use the capabilities of smartphone technologies and increase app stickiness. Theoretically, increased user engagement would occur by using multiple types of user interactivity, thereby maximizing the benefits that a person would receive when using a mobile health app. 

Needed improvements to mobile broadband deployment require more accurate mapping of mobile coverage, especially in rural and tribal areas.