Autonomous vehicles (AVs) can enhance older adults’ mobility and independence, but also present significant safety and usability challenges. In a two-phase formative study, we examine older adults’ (aged 60+) unique design requirements in AVs and the potential of a conversational AI agent inside AVs to support as digital chauffeurs. Phase 1 focus group (N=10) findings present physical AV design with accessible interfaces. We conducted an interview study (N=18) in phase 2 using a virtual reality (VR) simulator and a large-language model (LLM)-powered chatbot. Findings reveal that older adults value conversational agents that could assist during emergencies, initiate social conversations and provide a sense of control and agency. Informed by the outcome, we discuss design implications, emphasizing the need for transparency, clear communication, and chauffeur-like interaction norms in AI agents with appropriate anthropomorphic characteristics (i.e., pacing, tone, and frequency) to ensure a comfortable riding experience for older adults.

People in informal e-markets often try to deal with fraud and financial harm by sharing posts, screenshots, and warnings in social media groups. However, buyers and sellers frequently face further problems because these reports are scattered, hard to verify, and rarely lead to resolution. We studied these issues through a survey with 124 participants and interviews with 36 buyers, sellers, and related stakeholders from Bangladesh and designed Bonik Somiti, a socio-technical system that supports structured reporting, admin-led mediation, and accountability in informal e-markets. Our evaluation with 32 participants revealed several challenges in managing fraud, resolving disputes, and building trust within existing informal practices and the assumptions behind them. Based on these findings, we further discuss how community-centered technologies can be designed to support safer and more accountable informal e-markets in the Global South.

Indigenous languages face significant cultural oppression from official state languages, particularly in the Global South. We investigate the Bangladeshi Chakma language revitalization movement, a community grappling with language liquidity and amalgamation into the dominant Bengali language. Our six-month-long qualitative study involving interviews and focus group discussions with Chakma language learning stakeholders uncovered existing community socio-economic challenges and resilience strategies. We noted the need for culturally grounded digital tools and resources. We propose an ICT-mediated community-centric framework for Indigenous language revitalization in the Global South, emphasizing the integration of historical identity elements, stakeholder-defined requirements, and effective digital engagement strategies to empower communities in preserving their linguistic and cultural heritage.

This paper investigates data repair practices through a six-month-long ethnographic study in Bangladesh. Our interviews and field observations with data repairers and related stakeholders found that, alongside the scarcity of high-precision machinery and access to advanced software, data repair work is constrained by cross-language learning resources and the protective nature of documenting, curating, and sharing the experiences and knowledge among local peers. Repairers turning to external resources such as foreign forums and LLMs also revealed their frustrating experiences and the postcolonial ethical tensions they encountered. We noted that both anticipated technical labor and the emotionality of data were taken into account for pricing the data repair job, which contributed to their market sustainability strategies. Engaging with repair, infrastructure, and data poverty discourse, we argue that data repair practices represent a crucial challenge and opportunity for HCI in advancing global efforts toward data equity.

There is an increasing interest in telling serious stories with data. Designers organize information, construct narratives, and present findings to inform audiences. However, many of these practices emerge from modern information visualization rhetoric and ethical frameworks which may marginalize communities with low digital and media literacy. In a ten-month-long ethnographic study in three Bangladeshi villages, we investigated how these communities use entertainment and cultural practices, namely Puthi, Bhandari Gaan, and Pot music, to instruct, communicate traditional moral lessons and recall history. We found that these communities embrace polyvocality and multiple ethical frameworks in their performances, construct narratives combining factuality, emotionality, and aesthetics, and adapt their performances to changing technology and audience needs. Our findings provide HCI, visualization, and ethical data practitioners with implications for the design of accessible and culturally appropriate ways of presenting data narratives in data-driven systems.

Social media platforms increasingly function as informal infrastructures to seek justice in contexts where formal justice systems are inaccessible or distrusted. We examine how Bangladeshi individuals leverage Facebook to disclose personal experiences of harm (e.g., sexual harassment, fraud, and abuse) and pursue justice. Our in-depth interviews with 18 participants unpacked the motivations, strategic choices, and sociotechnical risks involved in such disclosures. Our participants carefully navigated trade-offs between visibility, credibility, privacy, and legal vulnerability. Our findings contribute to HCI by (1) conceptualizing justice-seeking behaviors in low-trust, high-risk environments; (2) offering empirical insights into post-curation, audience targeting, and identity management; and (3) identifying design opportunities for safer, more equitable platform interactions. We present implications for platform governance and moderation, including features that support credibility, mitigate emotional harm, and enhance the legibility of justice claims. This work advances critical HCI and social computing perspectives on safety, care, and power in digital participation.

In Bangladesh’s rapidly expanding informal e-market, small-scale sellers use social media platforms like Facebook to run businesses outside formal infrastructures. These sellers rely heavily on platform algorithms—not just for visibility, but as active collaborators in business operations. Drawing on 41 in-depth interviews with sellers, buyers, and stakeholders, this paper examines how people in informal e-market perceive and interact with the algorithm as a “team member" that performs sales, marketing, and customer engagement tasks. We found that while sellers and local tech entrepreneurs are intrigued to develop services to support this industry, buyers and investors of the industry put their greater trust in human interactions. This surfaces a postcolonial tension associated with cultural values, local tech education and training, and a mismatch between the global and Bangladeshi e-markets’ growth. We expand this discussion from multiple ongoing HCI, political design, and AI design angles. We also address the postcolonial tension and support the decoloniality movement in informal e-markets by proposing the DAIEM framework that consists of six components: autonomy and agency; resistance; locality, culture, and history; rationality; materiality; and advocacy. Supporting the decoloniality and informality sentiment in informal e-market and other similar sectors, DAIEM will serve both as a guideline for algorithm design and as an analytical tool.

Platform laborers play an indispensable yet hidden role in building and sustaining AI systems. Drawing on an eight-month ethnography of Bangladesh’s platform labor industry and inspired by Gray and Suri, we conceptualize Ghostcrafting AI to describe how workers materially enable AI while remaining invisible or erased from recognition. Workers pursue platform labor as a path to prestige and mobility but sustain themselves through resourceful, situated learning—renting cyber-café computers, copying gig templates, following tutorials in unfamiliar languages, and relying on peer networks. At the same time, they face exploitative wages, unreliable payments, biased algorithms, and governance structures that make their labor precarious and invisible. To cope, they develop tactical repertoires such as identity masking, bypassing platform fees, and pirated tools. These practices reveal both AI’s dependency on ghostcrafted labor and the urgent need for design, policy, and governance interventions that ensure fairness, recognition, and sustainability in platform futures.

Rapid digitization across government services, financial platforms, and telecommunications has intensified the collection and processing of large-scale personal data in Bangladesh. In response, the state has introduced multiple regulatory instruments, including the Personal Data Protection Ordinance, the Cyber Security Ordinance, and the National Data Governance Ordinance in 2025. While these initiatives signal an emerging legal regime for data protection, little scholarly work examines how they operate collectively in practice. This paper presents a legal-institutional analysis of Bangladesh’s data protection regime through a systematic review of these three ordinances, mapping how they collectively structure personal data governance and where frictions arise in their translation into institutional and regulatory enforcement. Our findings reveal that this emerging regime is constrained by uneven regulatory capacity, limited institutional independence, and a misaligned legal assumption of individualized, autonomous data subjects. We further demonstrate how these frameworks invisibilize prevalent sociotechnical layers, such as mediated access via “human bridges” and informal data flows, rendering formal protections difficult to operationalize. This paper contributes to HCI scholarship by expanding the concept of data protection as a complex sociotechnical design problem shaped by the informal infrastructures of the Global South.

Artificial Intelligence (AI) readiness in the Global South is often framed as a matter of infrastructure gaps or policy ambition. Drawing on a multi-method qualitative study of 35 university programs, 59 stakeholder interviews, and curriculum benchmarking in Bangladesh, we reconceptualize AI readiness as a sociotechnical condition shaped by material infrastructures, human capacity, and curricular governance. Our findings reveal how GPU scarcity, limited faculty upskilling, opaque mentorship networks, entrenched gender disparities, and the near absence of Responsible AI instruction collectively constrain institutional capacity. Using concepts from Science and Technology Studies, including blackboxing, nested infrastructures, strain, and path dependency, we show that readiness deficits are not isolated shortcomings but outcomes of layered bureaucratic systems, historical lock-in, and global market dependencies. We further argue that AI education in Bangladesh is shaped by postcolonial dynamics that privilege global labor alignment over locally grounded innovation. We contribute an infrastructural reframing of AI readiness for HCI and ICTD, empirical evidence of institutional and epistemic barriers in a Global South context, and actionable design and policy pathways for building equitable, human-centered AI ecosystems.

Reproductive well-being education in the Global South is often challenged as many communities perceive many of its contents as misinformation, misconceptions, and language-inappropriate.Our ten-month-long ethnographic study (n=41) investigated the impact of sociocultural landscape, cultural beliefs, and healthcare infrastructure on Bangladeshi people's access to quality reproductive healthcare and set four design goals: combating misinformation, including culturally appropriate language, professionals' accountable moderation, and promoting users' democratic participation.Building on the model of 'Distributive Justice,' we designed and evaluated 'Socheton, ' a culturally appropriate AI-mediated tool for reproductive well-being that includes healthcare professionals, AIlanguage teachers, and community members to moderate and run the activity-based platform.Our user study (n=28) revealed that only combating misinformation and language inappropriateness may still leave the community with a conservative mob culture and patronize reproductive care-seeking.This guides well-being HCI design toward being culturally appropriate in the context of reproductive justice with sensitive marginalized communities. CCS Concepts• Human-

The reference to assumptions in how practitioners use or interact with machine learning (ML) systems is ubiquitous in HCI and responsible ML discourse.However, what remains unclear from prior works is the conceptualization of assumptions and how practitioners identify and handle assumptions throughout their workflows.This leads to confusion about what assumptions are and what needs to be done with them.We use the concept of an argument from Informal Logic, a branch of Philosophy, to offer a new perspective to understand and explicate the confusions surrounding assumptions.Through semi-structured interviews with 22 ML practitioners, we find what contributes most to these confusions is how independently assumptions are constructed, how reactively and reflectively they are handled, and how nebulously they are recorded.Our study brings the peripheral discussion of assumptions in ML to the center and presents recommendations for practitioners to better think about and work with assumptions.

Practitioners dealing with large text collections frequently use topic models such as Latent Dirichlet Allocation (LDA) and Non-negative Matrix Factorization (NMF) in their projects to explore trends. Despite twenty years of accrued advancement in natural language processing tools, these models are found to be slow and challenging to apply to text exploration projects. In our work, we engaged with practitioners (n=15) who use topic modeling to explore trends in large text collections to understand their project workflows and investigate which factors often slow down the processes and how they deal with such errors and interruptions in automated topic modeling. Our findings show that practitioners are required to diagnose and resolve context-specific problems with preparing data and models and need control for these steps, especially for data cleaning and parameter selection. Our major findings resonate with existing work across CSCW, computational social science, machine learning, data science, and digital humanities. They also leave us questioning whether automation is actually a useful goal for tools designed for topic models and text exploration.

We call attention to the challenges associated with Global South women’s safety in public transportation and investigate the potential of autonomous vehicles (AVs) in providing them with greater mobility and broader opportunities. In a mixed-methods study with Bangladeshi women (n=23), we explored their safety issues, including sexual harassment and assault, to inform AV design, especially for shared rides. Our focus group findings revealed women’s distressing experiences of abuse and undertaken safety measures in public transport of Global South. We conducted co-design sessions utilizing virtual reality (VR) scenarios and investigated participants’ perceptions of potential AV designs addressing unique safety concerns and transportation challenges. Participants suggested prioritizing their own safety, achieved through design justice of equitable AV, over the current, often ineffective, retributive justice. Our work contributes to AV design, ICTD, and feminist HCI by suggesting implications for designing community-based and culturally contextual transportation infrastructure for Bangladeshi women and similar other communities.

In the emerging automated vehicle (AV)—passenger interaction domain, there is no agreed-upon set of methods to design early concepts. Non-designers may find it challenging to brainstorm interfaces for unfamiliar technology like AVs. Therefore, we explore using an immersive virtual environment to enable expert and non-expert designers to actively participate in the design phases. We built AV-Sketch, an in-situ (on-site) simulator that allows the creation of automotive interfaces while being immersed in VR depicting diverse AV-passenger interactions. At first, we conducted a participatory design study (N=15) by utilizing PICTIVE (Plastic Interface for Collaborative Technology) to conceptualize human-machine interfaces for AV passengers. The findings led to the design of AV-Sketch, which we tested in a design session (N=10), assessing users’ design experiences. Overall, participants felt more engaged and confident with the in-situ experience, enabling better contextualization of design ideas in real-world scenarios, with improved spatial considerations and dynamic aspects of in-vehicle interfaces.

Information communication and visualization practices reflect two centuries of developments of conventions and best practices which may not be reflective of global audiences’ methods for conveying information. Contrasting between rural traditional visual culture and contemporary HCI and data-visualization, we argue that an understanding of traditional practices for information visualization is required for building rich data-narratives and making data-driven systems more accessible and culturally situated. Our ten-month ethnographic study investigates how rural Bangladeshi communities construct narratives through visual media. 1 Our observation, interviews, and FGDs (n=54) expose how participants convey risk management, decision-making, and monetary management practices to their peers. We find that villagers used a rich network of polysemic symbols and abstractions to manifest subjectivity, factuality, consequence, situatedness, and uncertainty; varied visual attributes for constructing narratives; and emphasized material relations among components in visuals. These findings inform the design of future systems for decision support in a culturally situated manner.

The challenge of designing against child sexual abuse becomes more complicated in conservative societies where talking about sex is tabooed. Our mix-method study, comprised of an online survey, five FGDs, and 20 semi-structured interviews in Bangladesh, investigates the common nature, location, and time of the abuse, post-incident support, and possible combating strategies. Besides revealing important facts, our findings highlight the need of decentering the design from the victims (children and/or guardians) to the community. Hence, building on the theory of transformative justice, we prototyped and evaluated ‘ShishuShurokkha’ – an online tool that involves the whole community by allowing anonymous bystander reporting, visualizing case-maps, connecting with legal, medical, and social support, and raising awareness. The evaluation of ShishuShurokkha shows the promise for such a communal approach toward combating child sexual abuse, and highlights the needs for sincere involvement of the government, NGOs, the legal, educational, and religious services in this.

This work addresses the challenges associated with cashless transactions and Mobile Financial Services (MFS) in the Global South. In our 19-months long interview study in Dhaka, Bangladesh, we engaged with 38 participants, including everyday users, bank employees, and policymakers, and investigated their experiences and perspectives associated with financial services. Our findings reveal a wide range of factors, naming intermediaries, terrorist assemblage, and re-skilling the existing employees that impede the mass adoption of cashless transaction services in Bangladesh. The findings from this study contribute to the ongoing discourse on the challenges and opportunities offered by the digitization of financial systems in Bangladesh. Our recommendations aim to improve the integration of the cashless systems within the societal context of Bangladesh and, more broadly, the Global South.

While information and communication technology for development (ICTD) researchers have prioritized advocating for community voices in innovation design and development, we have limited insights into how community voices are incorporated by the high-level decision-makers who fund and initiate development projects and programs in the Global South. Indeed, understanding local communities’ voices (expressions of needs, challenges, and priorities) in tailoring effective development projects for sustainable development is widely considered an unmet goal. Using a qualitative survey of eight decision-makers (including grantmaking donors, central governments and INGOs) we explored a number of key factors, including national and global political climates, insider-outsider interactions, and evidence-based approaches that influence the high-level decision making process, workflows, and perceptions of community voice in project commissioning within Bangladesh’s public health nutrition development arena. Our findings reveal the tensions that arise among high-level decision-makers, and highlight the challenges associated with connecting with communities during development project design and implementation. We suggest broader implications and design opportunities for inventive project commissioning approaches to bridge the gap between communities and decision-makers. Our findings are of potential value for ICTD and HCI4D researchers interested in sustainable innovation and understanding and participating in the complex workflows of the project commissioning process in sustainable global development.

This paper presents the understanding of the rural perception of toleration on Facebook by Bangladeshi users. In a three-year long ethnographic study with villagers in 12 rural areas in Jessore, Bangladesh, we investigated the three major aspects of toleration: decorum, civility, and certainty. Our findings informed that these factors influenced rural villagers’ interaction on social media. We found that to address these concerns, rural people often adopt their own framework where they co-existed with their own opinion along with the parties whose opinions were disagreeable to them. Here, the major concerns were unpredictable behavior of social media algorithms, conflicts of ideologies and cultural values, and mismatching language skills while using Facebook collectively and collaboratively within the family. We also found that the practice of toleration and associated factors influenced users’ interaction with other users both online and in the physical world. Building on our findings, we argue that understanding different conceptualizations of toleration is essential to have a safer digital space for marginalized rural communities. Our study contributes to HCI’s and ICTD’s understanding of disagreement and conflicts by bringing in the concept of toleration and helps design better appropriate Facebook experience for the users in rural Bangladesh and other similar communities.

Financial technology (FinTech) platforms often exclude certain countries from their services due to global political conflicts. As a result, immigrants from these neglected countries struggle with transferring money to and from their homeland through formal mechanisms. Instead, they get involved in informal transnational transactions that, while flexible, are often risky and full of hassles. We looked into this issue through an online survey (n=127) and engaged with multiple stakeholders (n=16), including the Iranian immigrant community in Canada, to co-design an application called ?Kabootar' that matches senders and receivers of money across borders. In this application, a sender-receiver pair is matched with a pertinent pair sending money in the opposite direction. By facilitating two intra-national transactions in local currencies instead of two relatively complicated inter-national transactions, the need for money to cross borders is eliminated while staying within the boundaries of the law. Our user study (n=13) revealed several tensions in users trusting such informal transnational transactions. This work contributes to CSCW, HCI, and social computing's growing scholarship in personalized and collaborative computing technologies by advocating for a novel design approach based on collaboration and informality and extends their scope to the domain of FinTech for politically marginalized communities.

Through Facebook "Group" feature, users often sensitize communionships, join different Facebook groups, and establish imagined communities with known people and strangers. In our interview study with 32 admins and users of Facebook groups, we explored the influential factors of such communionships, the challenges the Facebook group admins face while managing these communities, and how they resolve those. Our findings show that admins set rules for the entry and maintenance of the groups, monitor members' activities, and often limit their actions or mute them during conflicts. Thus, the members and admins of the groups together grow a sensibility of sovereignty within the community on Facebook. While the imagined sovereignty in Facebook groups is empowering, this empowerment may not be perceived and experienced evenly by everyone in such online communities. To explain this, we build on the concept of "Imagined Communities' by Benedict Anderson [16 ] and argue that there is a tension between Facebook admins' perceived sovereignty and other users' empowerment in practice. Our work joins the body of CSCW literature that aims at designing more sustainable and collaborative tools for specific communities on Facebook groups and other similar platforms.

Women in the global south often seek justice to their online harassment through unveiling the harassers and the screenshots of their sent harassment texts and visual contents before the relevant authorities. Nevertheless, such evidence is often challenged for their authenticity. Our survey (n=91) and interview (n=43) with Bangladeshi online gender harassment victims revealed the depth of the problem, and we set design goals to collect evidence from Facebook Messenger with ensured authenticity. Building on the ‘shame-based model’ of gender justice [12], we designed ‘Unmochon’, a tool that captures authentic evidence and shares with victims’ intended group. Our user-study (n=48) revealed that diminishing authenticity problem may still leave the victim and online gender justice entangled with mob-sentiment, hegemonic legal consciousness, and several privacy aspects. Our findings open up a new discussion on how HCI-design should address online gender justice in such a complex social setting.

HCI research predominantly uses scientific rationality to explain users’ behaviors, decisions, and interactions with statistical models based and data-driven systems. However, such interactions are often more diverse in real life, and may straddle beyond scientific and economic rationality. Building on a ten-month ethnography at seven Bangladeshi villages, we explore the social and cultural factors that influence the online betting practices among the villagers. We describe how bets harmonize with users’ faith, hunch, and cultural practices, along with statistical recommendations. Drawing on a rich body of social science work on gambling, we contribute to the HCI scholarship in rationality, justification, and postcolonial computing. Finally, we present such betting as an under-appreciated site for HCI that contradicts with the ideological hegemony of statistical rationality, and recommend a smooth integration of AI system with the “other” rationalities of the Global South.

Inability to read and understand the information on medicine packaging is a problem for many people across the world, especially in the Global South. As a solution to this, many of them reportedly often memorize the names and looks of their medicines. However, they often fail to distinguish between registered and unregistered/duplicate medicines and consume them without realizing, which further deteriorates their health conditions and even may lead to death. They frequently seek help from family members and friends to supervise their medicine intake, however, such helpers might still struggle to distinguish between registered and duplicate medicines if the texts written on the medicine’s packaging seem similar. To address this problem, we designed an android mobile-phone application, ‘Oshudh Poro’ scans medicine packaging, captures images of its unique registry number, matches the number to a database of registered medicines in the country, retrieves the relevant details upon finding the medicine as registered, converts them to Bengali audios and plays the details aloud. Thus, the users know which medicine are they taking, whether it is registered or unregistered and its details. Thus, low-literate users would gain more autonomy in managing their personal medication. We argue that this application would lead wellbeing-HCI to more sustainable design solutions as the application is built on existing skills of users and integrates only the existing features available to the intended users. Thus, our design contributes to wellbeing-HCI, sustainability research, and HCI4D.

Marginalized communities’ access to and use of ICT have long been a concern in HCI4D and social computing. Many works in this domain have pointed out that the challenges to access to ICT often go beyond limited computing resources and skills and frequently include many other socio-cultural factors. In this paper, we report three of the factors that arose while studying rural Bangladeshi women’s access to ICT: stigma, rumor, and superstition. Through an eight-month-long mix-method study with 23 rural women in Jessore, we explored the forms of fear and resistance to use computing devices prevalent among this population, particularly among the women we studied. We report how their stigma, rumors and superstitions often entangled with each other and created a gender-specific resistance to women’s ICT use. This paper further discusses how this resistance was connected to a weak economy and insufficient legal and educational infrastructure in the rural community. We extend the discussion to implications for design, policy, patriarchy, and other social practices to address these human factors in HCI4D and social sustainability scholarship.

This paper investigates the dissemination, situated fact-checking processes, and social effects of COVID-19 related online and offline misinformation in rural Bangladeshi life. A six-month-long ethnographic study in three villages found villagers perceived a lack of knowledge and experience among local medical professionals and often fell for flashy promotions of unreliable and unconfirmed cures. Villagers built on their local beliefs and myths, religious faiths, and social justice sensibilities while fact-checking suspicious information. They often reported being misled by misinformation that caters to these values, and they further spread this information through conversations with friends and family. Based on our findings, we argue that CSCW and HCI researchers should study misinformation and situated fact-checking together as a communal practice to design appropriate wellbeing technologies and social media for given communities.

Facebook users often join Facebook groups to connect to the people with the same interest regardless of the fact that the other members take the same standing with them. Our study aims to investigate Bangladeshi users' motivation to join and strategies to manage their Facebook groups and identify the relevant challenges. In our ongoing work, we are conducting a survey and interviewing Facebook-group users to understand how Facebook groups are bringing the users of similar interest and agenda together on Facebook and providing the admins with imagined sovereignty. This poster presents some of our crucial findings. This set of findings will be useful in designing better tools for managing Facebook groups for empowering the admins and the users.

There is a risk that modern practices of information communication and visualization in human-computer interaction can sideline communities due to their prioritization of scientific rationality. Such ideological hegemony can complicate interactions with data and computers, especially for low-literate communities in the global south. Through a six-month long ethnographic study with Nakshi-Katha makers, Hindu Idol makers, and witchcraft practitioners, we investigated how rural practitioners use their own forms of representation and narrative in record keeping, social and religious storytelling, and information mediated decision making. We find that traditionally developed approaches towards presenting and communicating information often make use of concrete units to represent entities and connect to designers' cultural practices and the physical location. Further, we identify how medium has significant influence in meaning-making. Often these strategies and conventions are passed down through generations within the community. In this paper, we discuss how this rural tradition differs from the modern information communication practices, discussing how an understanding of traditional practices for representing information can be useful in developing more accessible, and culturally appropriate modern tools and technologies for the people of rural Bangladesh and similar communities.

While Human-Computer Interaction (HCI) research on health and well-being is increasingly becoming more aware and inclusive of its social and political dimensions, spiritual practices are still largely overlooked there. For a large number of people around the world, especially in the global south, witchcraft, sorcery, and other occult practices are the primary means of achieving health, wealth, satisfaction, and happiness. Building on an eight-month long ethnography in six villages in Jessore, Bangladesh, this paper explores the knowledge, materials, and politics involved in the local witchcraft practices there. By drawing from a rich body of anthropological work on witchcraft, this paper discusses how those findings contribute to the broader issues in HCI around morality, modernity, and postcolonial computing. This paper concludes by recommending ways for smooth integration of traditional occult practices with HCI through design and policy. We argue for occult practices as an under-appreciated site for HCI to learn how to combat ideological hegemony.

Previous Information and Communication Technology and Development (ICTD) research has shown that rural women's access to digital technologies in many Low and Middle Income Countries (LMICs), including Bangladesh, is challenging because of a number of reasons, including Techno-Phobia. With a view to mediating access for rural women, we designed an one-button communication box, and documented rural women's user-experiences with it. Drawing upon our discovery of the set of gender specific and culturally contextual problems, this paper also discusses several design and policy interventions to ensure a better Information and Communication Technology (ICT) access for the rural women in Bangladesh.

This paper discusses the issues that arise while designing better wellbeing support for a low-income rural population in Bangladesh. Through a four-month long ethnographic study, we explored how people in 13villages in southwestern Bangladesh accessed healthcare. Over the course of our fieldwork, we asked the participants about the existing healthcare services available to them and how they interacted with different ICT-based wellbeing support systems. Our findings show that insufficient resources, schedules, and the distant location of government-supported healthcare facilities were major challenges for the villagers. We also found that villagers' limited knowledge and mistrust of care-providing infrastructure block them from the benefits of available ICT-based supports and resources. Drawing on our findings from the field, we discuss possible alternative design directions for improving wellbeing support for rural Bangladeshis.

This paper examines the opportunities and issues that arise in designing technologies to support low-income rural women in Bangladesh. Through a qualitative, empirical study with 90 participants, we reveal systemic everyday challenges that women face that form the backdrop against which technology design could potentially happen. We discuss how technology is already impacting women's lives, sometimes by reinforcing their subservient role in society and sometimes used tactically by women to gain a measure of agency. The issues raised by our participants concerning technology's place in their lives provide HCI researchers with valuable guidance about what might (or might not) be appropriate to design for them. We also show how prevalent HCI research and design strategies may fit more poorly than expected into rural women's lives, and we discuss possible alternative design directions, and the ethical and pragmatic trade-offs that they entail. Our contribution is not to "solve" the problem of designing for low-income rural women, but to expand the HCI community's understanding of technology design within deeply patriarchal societies.

This paper presents a speaker-independent speech emotion recognition method, where emotional features are derived from the Teager energy (TE) operated wavelet coefficients of speech signal. Due to TE operation, the enhanced detail as well as approximate Wavelet coefficients thus obtained is then used to compute entropy. Entropy values of TE operated detail and approximate wavelet coefficients not only reduces feature dimension but also form an effective feature vector for distinguishing different emotions when fed to a Euclidean distance based classifier. Extensive simulations are carried out using EMO-DB German speech emotion database containing four class emotions, such as angry, happy, sad and neutral. Simulation results show that the proposed method is capable of outperforming an existing speaker-independent emotion recognition method thus solving a four-class emotion recognition problem in terms of higher recognition accuracy with lower computation.