Critical reading is a primary way through which researchers develop their critical thinking skills. While exchanging thoughts and opinions with peers can strengthen critical reading, junior researchers often lack access to peers who can offer diverse perspectives. To address this gap, we designed an in-situ thought exchange interface informed by peer feedback from a formative study (N=8) to support junior researchers’ critical paper reading. We evaluated the effects of thought exchanges under three conditions (no-agent, single-agent, and multi-agent) with 46 junior researchers over two weeks. Our results showed that incorporating agent-mediated thought exchanges during paper reading significantly improved participants’ critical thinking scores compared to the no-agent condition. In the single-agent condition, participants more frequently made reflective annotations on the paper content. In the multi-agent condition, participants engaged more actively with agents’ responses. Our qualitative analysis further revealed that participants compared and analyzed multiple perspectives in the multi-agent condition. This work contributes to understanding in-situ AI-based support for critical paper reading through thought exchanges and offers design implications for future research.

Couples often experience a decrease in closeness as they cope with the demands of parenthood.Existing technologies have supported parenting and parental collaboration.However, these technologies do not adequately support closeness in co-parenting.We use scenarios and design probes to brainstorm with 10 new parent couples to explore and envision possibilities for technologies to support closeness.We reported parents' current technology use for co-parenting and how participants considered and envisioned co-parenting technology for closeness, including information and task sharing, emotion awareness and disclosure, and fostering fun interaction.We discuss the potential technology has for fostering closeness in co-parenting by (1) fostering interdependence by supporting parental competence and (2) integrating positive emotions and experiences, such as validation and fun, in parenting.Based on our findings, we expand the design space of technology for closeness to include interdependence.We also expand the design space for co-parenting technology by integrating more positive emotions.

Community management is critical for stakeholders to collaboratively build and sustain communities with socio-technical support. However, most of the existing research has mainly focused on the community members and the platform, with little attention given to the developers who act as intermediaries between the platform and community members and develop tools to support community management. This study focuses on third-party developers (TPDs) for the live streaming platform Twitch and explores their tool development practices. Using a mixed method with in-depth qualitative analysis, we found that TPDs maintain complex relationships with different stakeholders (streamers, viewers, platform, professional developers), and the multi-layered policy restricts their agency regarding idea innovation and tool development. We argue that HCI research should shift its focus from tool users to tool developers with regard to community management. We propose designs to support closer collaboration between TPDS and the platform and professional developers and streamline TPDs’ development process with unified toolkits and policy documentation.

Positive co-parenting is critical for parenting and child outcomes, especially for new parents, who suffer from an increase in conflicts and decreased marital relationships. Investigating the practices, strategies, and challenges of new parents' co-parenting, including collaborating, supporting, and relating to each other, can help better understand this vulnerable parenting period. Furthermore, this understanding can bring insights to inform technology design for supporting co-parenting. In this paper, we present an overview of related research on parents' collaboration, support, and relationships. We then report findings from an exploratory semi-structured interview study with 11 pairs of new parents who are interested in co-parenting skills and unpack their helpful co-parenting strategies, tools, and challenges when applying those strategies. We conclude with a discussion of the design implications aiming to support new parents' positive co-parenting in their day-to-day lives and an observation that couples' co-parenting is a case of coproduction.

Biases in Artificial Intelligence (AI) systems or their results are one important issue that demands AI explainability. Despite the prevalence of AI applications, the general public are not necessarily equipped with the ability to understand how the black-box algorithms work and how to deal with biases. To inform designs for explainable AI (XAI), we conducted in-depth interviews with major stakeholders, both end-users (n = 24) and engineers (n = 15), to investigate how they made sense of AI applications and the associated biases according to situations of high and low stakes. We discussed users’ perceptions and attributions about AI biases and their desired levels and types of explainability. We found that personal relevance and boundaries as well as the level of stake are two major dimensions for developing user trust especially during biased situations and informing XAI designs.

Collaboration comes in many forms. How relevant stakeholders collaborate at the scale of a system deserves scholarly attention because their practices may differ from traditional teams like dyads or small groups. This study investigates how stakeholders of a local produce supply-and-demand system, namely experts, farmers, sellers, and consumers, in Taiwan collaborate and communicate for information as a case to illustrate how they depend on one another for information collaboration in the system. Using qualitative in-depth interview, we found that stakeholders had diverse collaboration goals within the system and encountered challenges in acquiring information from one another. In addition to establishing a holistic understanding of stakeholders' individual and collective practices in the system of produce supply-and-demand, we propose several design suggestions to address the needs and challenges we identified.

Wearable devices have evolved towards intrinsic human augmentation, unlocking the human skin as an interface for seamless interaction. However, the non-traditional form factor of these on-skin interfaces, as well as the gestural interactions performed on them may raise concerns for public wear. These perceptions will influence whether a new form of technology will eventually be accepted, or rejected by society. Therefore, it is essential for researchers to consider the societal implications of device design. In this paper, we investigate the third person perceptions of a user's interactions with an on-skin touch sensor. Specifically, we examine social perceptions towards the placement of the on-skin interface in different body locations, as well as gestural interactions performed on the device. The study was conducted in the United States and Taiwan to examine cross-cultural attitudes towards device usage. The results of this structured examination offer insight into the design of on-skin interfaces for public use.

Ketamine is an addictive drug that has been shown to inflict considerable physical and mental damage on users. Due in part to its low cost, ketamine has become one of the most popular club drugs among young adults and teenagers in Southeast Asia. This paper proposes a phone-based support system (KeDiary) with Bluetooth-enabled device for the screening of saliva, as a means of assisting ketamine-dependent patients to self-monitor their ketamine use following acute withdrawal treatment. We also conducted a practical experiment to evaluate the feasibility of the proposed system, wherein three ketamine-dependent patients self-administered tests at least once per day over a period of three weeks. Follow-up interviews with the same users helped in the further refinement of the proposed self-monitoring system.