A goal of accessible technology (AT) design is often to increase independence, i.e., to enable people with disabilities to accomplish tasks on their own without help. Recent work challenges this view by recognizing the role of ‘help’ in addressing the access needs of people with disabilities. However, empirical evidence examining help is limited to the Global North; we address this gap using a case study of how people with visual impairments (PVI) navigate indoor environments in India. Using interviews with PVI and their companions and a video-diary study, we find that help is a key practice that PVI use to navigate indoor environments. We uncover how help is a situated phenomenon shaped by socio-material and cultural factors unique to the Indian context. We discuss the value of help in the context of broader HCI and Accessibility literature on mixed-ability and collaborative interactions. We also discuss implications our findings on help have for AT design.

Most prior work on human-AI interaction is set in communities that indicate skepticism towards AI, but we know less about contexts where AI is viewed as aspirational. We investigated the perceptions around AI systems by drawing upon 32 interviews and 459 survey respondents in India. Not only do Indian users accept AI decisions (79.2% respondents indicate acceptance), we find a case of AI authority—AI has a legitimized power to influence human actions, without requiring adequate evidence about the capabilities of the system. AI authority manifested into four user attitudes of vulnerability: faith, forgiveness, self-blame, and gratitude, pointing to higher tolerance for system misfires, and introducing potential for irreversible individual and societal harm. We urgently call for calibrating AI authority, reconsidering success metrics and responsible AI approaches and present methodological suggestions for research and deployments in India.

Field workers, like farmers and radiologists, play a crucial role in dataset collection for AI models in low-resource settings. However, we know little about how field workers’ expertise is leveraged in dataset and model development. Based on 68 interviews with AI developers building for low-resource contexts, we find that developers reduced field workers to data collectors. Attributing poor data quality to worker practices, developers conceived of workers as corrupt, lazy, non-compliant, and as datasets themselves, pursuing surveillance and gamification to discipline workers to collect better quality data. Even though models sought to emulate the expertise of field workers, AI developers treated workers as non-essential and deskilled their expertise in service of building machine intelligence. We make the case for why field workers should be recognised as domain experts and re-imagine domain expertise as an essential partnership for AI development.

Data-driven approaches that form the foundation of advancements in machine learning (ML) are powered in large part by human infrastructures that enable the collection of large datasets. We study the movement of data through multiple stages of data processing in the context of public health in India, examining the data work performed by frontline health workers, data stewards, and ML developers. We conducted interviews with these stakeholders to understand their varied perspectives on valuing data across stages, working with data to attain this value, and challenges arising throughout. We discuss the tensions in valuing and how they might be addressed, as we emphasize the need for improved transparency and accountability when data are transformed from one stage of processing to the next.

Data is fundamental to AI/ML models. This paper investigates the work practices concerning data annotation as performed in the industry, in India. Previous human-centred investigations have largely focused on annotators’ subjectivity, bias and efficiency. We present a wider perspective of the data annotation: following a grounded approach, we conducted three sets of interviews with 25 annotators, 10 industry experts and 12 ML/AI practitioners. Our results show that the work of annotators is dictated by the interests, priorities and values of others above their station. More than technical, we contend that data annotation is a systematic exercise of power through organizational structure and practice. We propose a set of implications for how we can cultivate and encourage better practice to balance the tension between the need for high quality data at low cost and the annotators’ aspiration for well-being, career perspective, and active participation in building the AI dream.

Grassroots workers are increasingly subjected to data-driven systems worldwide. While there has been increasing attention to processes of datafication in state sponsored welfare programs, not much attention has been focused on everyday workplace of the poor particularly in global south. In this paper, we examine the datafication experiences of sanitation and domestic workers, marginalized by caste, gender, and income, in India that goes beyond a welfare program setting. We report from interviews with 25 workers and 7 community leaders. Contrary to the modernist narratives around data and development, we find that data-driven systems invisibly inherited discriminatory properties from past institutions. These datafication processes are refracted through lack of access to supporting infrastructure, intentional opacity, and automated oppressive institutional norms.

AI models are increasingly applied in high-stakes domains like health and conservation. Data quality carries an elevated significance in high-stakes AI due to its heightened downstream impact, impacting predictions like cancer detection, wildlife poaching, and loan allocations. Paradoxically, data is the most under-valued and de-glamorised aspect of AI. In this paper, we report on data practices in high-stakes AI, from interviews with 53 AI practitioners in India, East and West African countries, and USA. We define, identify, and present empirical evidence on Data Cascades—compounding events causing negative, downstream effects from data issues—triggered by conventional AI/ML practices that undervalue data quality. Data cascades are pervasive (92% prevalence), invisible, delayed, but often avoidable. We discuss HCI opportunities in designing and incentivizing data excellence as a first-class citizen of AI, resulting in safer and more robust systems for all.

The future of work is speculated to undergo profound change with increased automation. Predictable jobs are projected to face high susceptibility to technological developments. Many economies in Global South are built around outsourcing and manual labour, facing a risk of job insecurity. In this paper, we examine the perceptions and practices around automated futures of work among a population that is highly vulnerable to algorithms and robots entering rule-based and manual domains: vocational technicians. We present results from participatory action research with 38 vocational technician students of low socio-economic status in Bangalore, India. Our findings show that technicians were unfamiliar with the growth of automation, but upon learning about it, articulated an emic vision for a future of work in-line with their value systems. Participants felt excluded by current technological platforms for skilling and job-seeking. We present opportunities for technology industry and policy makers to build a future of work for vulnerable communities.

South Asia faces one of the largest gender gaps online globally, and online safety is one of the main barriers to gender-equitable Internet access [GSMA, 2015]. To better understand the gendered risks and coping practices online in South Asia, we present a qualitative study of the online abuse experiences and coping practices of 199 people who identified as women and 6 NGO staff from India, Pakistan, and Bangladesh, using a feminist analysis. We found that a majority of our participants regularly contended with online abuse, experiencing three major abuse types: cyberstalking, impersonation, and personal content leakages. Consequences of abuse included emotional harm, reputation damage, and physical and sexual violence. Participants coped through informal channels rather than through technological protections or law enforcement. Altogether, our findings point to opportunities for designs, policies, and algorithms to improve women's safety online in South Asia.

In India, women represent 45% of total computer science enrollment in universities, almost three times the rate in the United States, where it is 17%. At the same time, women make up an estimated 25-30% of the HCI community in India, half the rate in the U.S. We investigate the complexities of these surprising phenomena through qualitative research of Indian computer science and human-computer interaction researchers and professionals at various life stages. We find among other things that Indian familial norms play a significant role in pressuring young women into computing as a field; that familial pressures and workplace discrimination then cause a precipitous exit of women from computing at the onset of marriage; and that HCI occupies an interstitial space between art and technology that affects women's careers. Our findings underscore the societal influence on women's representation in the tech sector and invite further participation by the HCI community in related questions.

Since March 2015, the public squares of Havana have been transformed from places where people stroll and children play to places where crowds gather to try to connect to the internet at all hours of the day and night. We present a field investigation of public WiFi hotspots in Havana, Cuba, and examine the possibilities of internet access these limited and expensive hotspots present to individuals, many of who are experiencing the internet for the first time. Drawing on fieldwork conducted in 2015-2016, we underscore the reconfigurations that have resulted from this access, as evolving internet users reconfigure their interactions with place, time, and individuals in their efforts to locate the internet. We also discuss the implications our findings have for the design of internet access interventions in Cuba and in other low-resource environments across the world, as well as the broader implications for social computing across diverse geographies.

India and other economies in the Global South are undergoing a proliferation in public Wi-Fi, with large-scale deployments from industry and government. In this paper, we report on a qualitative study on public Wi-Fi conceptions as held by urban Indians, textit{a priori} to connecting to a network. Our findings show that prior public Wi-Fi users and non-users alike raised a surprising range and depth of conceptions---ranging from suspicion of operators' intentions to monetize, to concerns about sexual image morphing, to fears of phone wipeouts, to aspiration---which were informed by popular media, BlueTooth cultures, and social learning. We found these conceptions of Wi-Fi networks to significantly influence adoption of public Wi-Fi. With enormous investments in public Wi-Fi initiatives, we call for network providers to address these deep conceptions among emerging users; by suggesting ways to build public awareness, better user experiences, and business model innovation.

As access to the Internet improves globally, we argue that speed is important for accelerated and full-fledged exploration of the Internet. We provided high-speed broadband service plans and Wi-Fi access points to 12 Internet-using Indian households in Delhi and Lucknow for three months. We sought to understand uptake, trajectories, behaviours, and developmental impact of the speed of the Internet on the daily lives of our respondents through a multi-phased study (baseline, in-situ usage, follow-up). Our findings suggest that high-speed Wi-Fi led to 2-3x increase in online activity and higher-bandwidth activities; spurred Internet skilling and instrumental uses online; shifted the time and space of device access; created social currency; and transformed the construct of Internet for the households. Ultimately, 8 out of the 12 households switched to high-speed Wi-Fi after the study concluded. We discuss considerations for policy and infrastructure deployments in introducing and onboarding new and existing users living with slow speeds to higher-quality networks.

Mobile data usage is on the rise globally. In emerging regions, mobile data is particularly expensive and suffers from the lack of price and data usage transparency needed to make informed decisions about Internet use. To measure and address this problem, we designed SmartBrowse, an Internet proxy system that shows mobile data usage information and provides controls to avoid overspending. In this paper, we discuss the results of a 10-week study with SmartBrowse, involving 299 participants in Ghana. Half the users were given SmartBrowse, and the other half was given a regular Internet experience. Our findings suggest that, compared with the control group, using SmartBrowse led to a significant reduction in Internet credit spend and increased online activity among SmartBrowse users, while providing the same or better mobile Internet user experience. Additionally, SmartBrowse users who were prior mobile data non-users increased their webpage views while spending less money than control users. Our discussion contributes to the understanding of how forward-looking ICTD research in the wild can empower mobile data users, in this case, through increased price transparency.

Shared access to airtime is a prominent mode of connectivity access in the developing world. We seek to understand airtime sharing among low-income microenterprises in India (small, low-capital businesses, such as flower sellers and milkmen), that constitute 90% of the total enterprises in India. We introduce social negotiation as the foundation of airtime sharing. We highlight negotiation mechanisms in the microenterprise, showing how shared resources are used towards personal interests amidst tensions and value conflicts, by adapting, modifying, subverting, and repurposing airtime. We then explore the design space of airtime and bandwidth sharing in low-income communities, including designing for negotiation and improving readability of airtime.

In recent years, a number of low-cost laptops have been created for children's education, most notably the XO, developed by One Laptop per Child to embody principles of constructionist learning, and the ClassmatePC, designed by Intel to fit within and improve traditional education. We report on a series of field studies in Mexican elementary schools that deployed the XO or ClassmatePC. Although both devices are promoted as valuable for improving education in developing countries, our studies suggest that creating the social and technical infrastructures needed to sustain school laptop use is far more complex than what technology designers assume.

In this paper, we present the design, implementation, and deployment of a phone-based broadcasting system designed for reaching out to at-risk populations in urban India. We worked in collaboration with Pragati, a non-governmental organization dedicated to assisting Urban Sex Workers (USWs) in Bangalore, India, with the goal of improving Pragati's outreach to the women they serve. We conducted ethnographic action research to understand and address the needs of Pragati and the lifestyles of USWs. Responding to the unique design constraints of the USW community such as specific privacy and timing constraints, a desire to remain invisible, and the unusually high rate of mobile phone use, we designed a phone-based broadcasting system for Pragati. We then deployed the system on four different occasions and application areas. We present the results and key findings from our study, and conclude with a discussion on how designing for particularly difficult cases such as USWs can shed new light on the design of mobile applications for the developing world in general, such as challenging ubiquity and phone numbers as identity.

This paper attempts to re-imagine ubiquitous computing and technologies for populations in resource-poor, digitally unstable, and diversely literate environments. Extending UbiComp’s frame of reference to include any ICT with a ubiquitous presence, we articulate how technologies are adopted, accessed, used, and diffused in three urban slums of India. We showcase important local practices surrounding technology diffusion and their widespread implications for entrenching ICT use through sharing, learning, training, renewing, and extending use and access. We do this by discussing three main processes at the intersection of technology consumption, resource constraints, and cultural production specific to low-income communities in India: Cutting Chai or sharing technology ownership and maintenance to cut costs, Jugaad or workarounds in the face of resource constraints, and Here Pheri or gray market activity that subvert legal business processes. We also suggest a few design principles to provoke new kinds of inquiry and practice in the design and implementation of UbiComp for a global community.

We describe ViralVCD: a low cost method for tracing paths of information diffusion in developing communities using physical media. We instituted a participatory video framework for creation and dissemination of developmental videos in seven urban slums and peri-urban communities of Bangalore, India. By combining a call-in contest with Video CDs, we were able to measure developmental impact as well as elicit data on social networks and technology usage practices. In particular, our technique was able to extract data from multiple layers-social, technological, and developmental. ViralVCD allowed us to identify key actors and map information diffusion, as well as technology ownership and access. These findings have implications for HCI initiatives targeting low income locales and populations.

We describe a prevalent mode of information access in low-income communities of the developing world--intermediated interactions. They enable persons for whom technology is inaccessible due to non-literacy, lack of technology-operation skills, or financial constraints, to benefit from technologies through digitally skilled users--thus, expanding the reach of technologies. Reporting the results of our ethnography in two urban slums of Bangalore, India, we present three distinct intermediated interactions: inputting intent into the device in proximate enabling, interpretation of device output in proximate translation, and both input of intent and interpretation of output in surrogate usage. We present some requirements and challenges in interface design of these interactions and explain how they are different from direct interactions. We then explain the broader effects of these interactions on low-income communities, and present some implications for design.

We argue for the importance of understanding the human infrastructure in ICTD projects. We do this through two field studies in low-income communities of Bangalore, India---on technology usage in urban slums and mobile media sharing on a wider scale. We offer ICTD researchers and practitioners an analytical lens to understand the shared social norms and practices, flows of information and materials, and creative processes that underlie existing information and communication access. We then provide a discussion of the systemic processes (usage, maintenance, and diffusion) and properties that constitute a human infrastructure. We end with opportunistic areas for ICT4D and human infrastructures. Through such a lens, we offer ICTD designers and researchers ways of understanding use and everyday practice to respond to developmental challenges through technologies.

This paper attempts to re-imagine ubiquitous computing for populations in low-income and information-challenged environments. We examine information infrastructures in mid-sized urban slums of Mumbai and Bangalore in three ways--1) highlighting technologies supporting social networks, 2) examining underlying notions of trust and privacy in building information networks, and 3) discussing protocols and practices around shared access. We then discuss our thoughts on designing for low-income, low-literacy, and resource-challenged communities, presenting new ways to think about the design of ubiquitous technologies for international development. We argue for collaborative exchange between the established strengths of the Information and Communication Technologies for Development (ICT4D) and Ubicomp communities to generate new ways of shaping technologies towards poverty alleviation in previously neglected socio-economic contexts--Ubicomp4D.

We present VoiceList, a telephone-based user-generated audio classifieds service. The aim of the system is to provide an infrastructure for a user-driven community service where there is minimal connectivity to the Internet. Our approach takes advantage of prior knowledge and the ubiquitous presence of telephones in developing nations, overcoming literacy and connectivity barriers.