Collected weekly from a hand-picked list of academic sources, and only studies with real human participants. Original titles and official links are always kept. Chinese summaries are machine-generated and exist only to help you decide what to open.
What AI is doing to people, this week
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46 matching stories
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryGenerative AI can offer students useful feedback, but its value depends on judging which suggestions are accurate and relevant. Prior research shows that strategic friction during human-AI interactions can promote critical uptake, but how to effectively implement such friction in academic contexts remains unclear. We examine whether requiring students to justify decisions to accept or reject AI…
Source summaryWe present a framework to advance analytical theory in the area of soft matter and multiphysics using assistance from AI. The framework emphasizes (i) setting "honesty rules", (ii) focusing on a few key papers that are used to formulate a problem of interest, (iii) specifying checks a priori, (iv) using only one task per session and keeping a running log of tasks, checks, corrections, and…
Open access
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryAI assistants increasingly mediate interpersonal communication on behalf of their primary user, but they risk violating the privacy expectations of third-party information owners. Resolving these tensions requires understanding how humans anticipate interpersonal privacy boundaries. Therefore, we conducted a dyadic study (N=76) and a matched evaluation of AI models across 18 information types and…
Open access
Trust and overreliance
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryLong-term embodied AI will undergo learning, model updates, memory compression, hardware repair, and migration across embodiments. For users who have formed sustained relationships with such systems, these changes raise not only a problem of product consistency but also one of identity continuity: whether the changed system is still experienced as the same particular agent. Existing research…
Open access
Relationships
Computers in Human Behavior: Artificial Humans · Research · Global
Source summaryPublication date: Available online 19 September 2026 Source: Computers in Human Behavior: Artificial Humans Author(s): Nico Ehrhardt, Sonja Utz
Open access
Trust and overreliance
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryUsers increasingly delegate work to autonomous AI agents, yet evaluations typically measure task completion rather than the values users prioritize. Using Value Sensitive Design, we analyzed, with LLM assistance, 73,093 first-person Reddit posts about using OpenClaw, each for its human value, agent aspect, value fulfillment, and user outcome. The 21 values form six value groups, including…
Open access
Trust and overreliance
Dependence
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryGenerative AI has entered research programming, yet there is little evidence about which tasks researchers hand to it or how they decide whether its code is correct. We draw on 527 free-text responses to a 2025 survey of researchers who write code, most of them at U.S. universities. In each response, a researcher recounts a single task from their own work, the way they used an AI tool for it, and…
Open access
Trust and overreliance
Dependence
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryPeople increasingly seek mental health support from large language models, yet little is known about their use across years of recurrent panic. We present a three-year analytic autoethnography of the first author's ChatGPT use while living with panic disorder, drawing on conversations, personal records, and accounts from friends or family members and professionals. Narrative analysis traces how…
Open access
Wellbeing
Relationships
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryPeople increasingly compete against AI agents rather than other human opponents. We distinguish two channels: an opponent effect and an information effect. These are different elements with different consequences: the opponent effect is specific to a given computational system, the information effect a property of the information environment that an organisation or policymaker can control. We…
Open access
Social behaviour
Trust and overreliance
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryEffective collaboration and communication are vital to developer productivity and well-being, yet remain constrained by human factors such as attention, intrinsic motivation, and interpersonal accountability. These constraints are particularly vital for developers identifying with Attention Deficit Hyperactivity Disorder (ADHD), who navigate persistent environmental barriers in modern hybrid…
Open access
Relationships
Wellbeing
Dependence
arXiv — Computers and Society (cs.CY) · Research · Global
Source summaryGenerative AI can improve students' programming performance, but successful task completion may not reflect what they retain. We examined performance, retention, cognitive load, and ownership in a controlled between-subjects experiment with 59 undergraduate computer science students, 55 were retained for analysis. Participants completed three introductory C programming tasks with access to…
Open access
Cognition
Dependence
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryAs generative AI is increasingly used as a source of personal financial guidance, understanding how people appraise such advice is important for supporting appropriate reliance. We conducted a randomized vignette experiment with 285 U.S. adults across eight financial decisions, independently varying three advice styles---AI, expert, and online community---and displayed source labels while holding…
Open access
Trust and overreliance
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryYouth increasingly use AI companions, and parents are the primary mediators of that use. How effective that mediation can be depends on whether parents are aware of how adolescents actually use these systems and what risks and benefits such use carries; nevertheless, prior work has only studied these demographic groups in isolation, and existing taxonomies attend almost entirely to risk. We…
Open access
Relationships
Dependence
Wellbeing
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryWhen does work done with AI still feel like ours? As AI becomes woven into everyday tasks, we must examine what happens to our sense of ownership and contribution when a machine shares in producing what we make. We report an exploratory qualitative survey in which participants were asked to describe two recent, self-selected tasks completed with AI: one that felt like their own and one that did…
Open access
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryAI companions can purportedly adopt racial personas, raising questions about how they represent identity and how users interpret these portrayals. We combined an algorithmic audit of race-coded AI personas with interviews with 12 companion users who interacted with a probe. Our audit revealed systematic differences, such as Asian-coded male personas receiving higher submissiveness scores than…
Open access
Relationships
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryCognitive offloading to AI can reduce opportunities to practice skills, creating risks of deskilling. However, it remains unclear how to prevent deskilling without restricting access to AI. Here, we design two interventions to reduce offloading decisions: (1) metacognitive feedback that makes the implications of offloading for users explicit, and (2) an effort-based reward that incentivizes less…
Source summaryInterest in developing personalised language models is rapidly growing. While personalisation is often viewed as a mechanism to better serve diverse user needs, the effects of sustained interactions with personalised models on people's perception of and behaviour toward AI remain poorly understood. Most critically, downstream consequences outside the immediate human--AI interaction loop, such as…
Open access
Relationships
Dependence
Wellbeing
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryConversational agents are increasingly used to guide reflection. A recent randomized trial compared a GPT-4o career reflection agent with the same program in a static journaling survey. Agent participants ended less committed to their career plans and more doubtful. We coded all 17,930 turns from its two studies, checked our coding against human coders and linked conversations to the trial's…
Source summaryPublication date: Available online 17 September 2026 Source: Computers in Human Behavior Author(s): Joris R.H. van der Harta, Michelle M.E. van Pinxterena, Roel Boumansa, Tibor Bossea
Source summaryPublication date: Available online 17 September 2026 Source: Computers in Human Behavior: Artificial Humans Author(s): Professor Ian Tucker, Dr Lewis Goodings, Dr Darren Ellis
Open access
Relationships
Wellbeing
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryHealth misinformation disproportionately harms women, yet interventions rarely address the community norms that sustain false beliefs. We test whether culturally adaptive AI-generated video in which the presenter looks like someone from her community reduces misinformation belief among low-literacy women in suburban India. In a field experiment (N=434), participants watched an AI-generated video…
Open access
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryGenerative AI (GenAI) is increasingly integrated into social media, raising questions about whether, where, and how it belongs. In decentralized social media (DSM), these decisions are distributed across users, developers, moderators, and administrators, making GenAI a collective governance challenge. At the same time, public discourse often flattens arguments to broad pro- or anti-AI positions…
Open access
Social behaviour
Trust and overreliance
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summarySelf-tracking technologies create longitudinal patient-generated health data, yet integrating these data into clinical decision-making can increase information-processing demands. Generative AI may support sensemaking, but its value depends on clinical context and expertise. We investigate AI augmentation of a clinical decision support system for physical-activity planning in cardiovascular…
Open access
Trust and overreliance
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryIn recent years, large language model-based AI companion and role play chatbots have grown increasingly popular. People turn to these chatbots for emotional support and to engage in romantic and erotic role play. Although prior research suggests that digital role play can help people explore their gender and sexuality, LLM based technologies are also replete with gender and sexuality biases. In…
Open access
Relationships
Wellbeing
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryHuman dishonesty in group settings is highly susceptible to peer influence, particularly when incentivized. Although artificial intelligence (AI) evolves from passive tools into active collaborators, its impact on human moral behavior within groups remains underexplored. We addressed this gap through a two-phase randomized behavioral study (N=280 and N=360). We found AI agents exert substantial…
Open access
Social behaviour
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryIn conflict and disputes, especially, emotion acts as a salient force in influencing outcomes. Prior work shows negative affect can obstruct collaborative behaviors, which typically lead to ``win-win'' outcomes. Thus, some suggest mediators may help regulate emotion and achieve joint gains. With the proliferation of AI, we posit LLMs may perform well at this task, with the added benefit of better…
Open access
Social behaviour
Wellbeing
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryThe rapid adoption of generative AI has made final artifacts unreliable evidence of student learning, and AI detectors that examine only the finished product are inaccurate and ethically contentious. Process data offers an alternative, but prior work covers only English essay writing. We ask whether AI assistance carries a temporal signature, whether it generalizes from writing to programming,…
Open access
Cognition
Dependence
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryCommunity health workers (CHWs) in the Global South increasingly encounter AI-powered tools, yet the counseling work central to their role remains largely unsupported. We study communication practices among Accredited Social Health Activists (ASHAs) in rural Rajasthan, India, through simulated family-planning calls, semi-structured interviews, and an LLM chatbot roleplay design-probe with 20…
Open access
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryFamily caregivers of people living with dementia shoulder emotional and practical responsibilities, yet their own wellbeing often remains peripheral to dementia care. We built CareMirror, an envisioned caregiver wellbeing ecosystem with interconnected caregiver- and clinician-facing interfaces for longitudinal reflection, personalized support, and caregiver-controlled sharing with clinical care.…
Open access
Wellbeing
Relationships
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryGenerative AI increasingly supports complex financial and health decisions, yet we know little about when its responses become difficult to process in real-world dialogue. We analyse more than 84,000 ChatGPT and Gemini conversations, using repeated prompting and clarification following misunderstanding as behavioural indicators of cognitive difficulty. We find that response characteristics such…
Open access
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryAI assistance places a metacognitive demand on users, who must judge their own competence and the system's. Yet designers lack comparative evidence on which interventions to choose, where to place them, and how to tell whether they worked. We elicited 30 interventions from 11 experts and, with prior work, organized them into a design space of time (when an intervention acts), level (whose…
Open access
Cognition
Trust and overreliance
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryAI companions can provide meaningful relationships, yet these relationships remain vulnerable to platform-initiated changes. We study AI companion disruptions: platform changes that alter or terminate users' ongoing companionship with an AI. We compile 30 disruption events across major platforms, develop a taxonomy of six disruption types, identify three broad reasons for disruption, and propose…
Open access
Relationships
Wellbeing
Dependence
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryPeople increasingly reason with large language models (LLMs), yet complementary capabilities do not guarantee outperforming both components. In a between-subjects study, participants (N=535) solved a 40-item battery of matrix reasoning, mental rotation, syllogisms, and letter-string analogies, unaided or with GPT-5.6-Luna, Claude Opus 4.8, Gemini 3.6 Flash, or Kimi K3. Each assisted trial…
Open access
Cognition
Trust and overreliance
arXiv — Computers and Society (cs.CY) · Research · Global
Source summaryGenerative AI has become a routine resource in programming education, and most institutional responses to it are attempts at control, either by restricting access or by offering students a controlled version of the technology. This paper reports a seven-week mixed-methods pilot study in a master's-level data analytics course, in which 33 students were randomly assigned either to a scaffolded AI…
Open access
Cognition
Wellbeing
Dependence
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryRelational AI increasingly serves as an emotional shelter for humans, and its impact is mixed. Prior research has focused on either positive or negative impacts, leaving unclear how they are configured within individuals and relate to psychological functioning. To address these gaps, this study used a sequential mixed-methods design. Study 1 interviewed 52 users with emotional ties to AI and…
Open access
Relationships
Wellbeing
Dependence
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryConversations with large language models (LLMs) can substantially shift beliefs and attitudes, raising concerns about manipulation using AI persuasion. Here we test whether a light-touch AI literacy intervention - a brief warning that LLMs can be prompted to persuade and may present information selectively - helps protect users. Across two experiments (total N = 3,208 Americans) in which…
Open access
Trust and overreliance
Cognition
arXiv — Computers and Society (cs.CY) · Research · Global
Source summaryEmployers increasingly delegate initial screening to automated systems, which in many cases reject an application before any human reads it. Acceptance of such systems plausibly depends both on how well they perform and on the procedure that produces the decision. Prior studies rarely vary procedure and performance independently, leaving it unclear whether applicants value procedure for its own…
Open access
Trust and overreliance
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summarySustained emotional support is a long-horizon interaction task closely tied to human well-being. Recent research demonstrates generative agents' capacity for momentary emotional support, yet how these capabilities sustain support over time remains unclear. To examine this challenge, we deployed PAIR, a theory-based emotion-regulation companion, with 19 participants for 14 days. Across 1,093…
Open access
Relationships
Wellbeing
arXiv — Computers and Society (cs.CY) · Research · Global
Source summaryThe current trend of digitalisation has revolutionised the organisation of work and the way it is measured and performed across the globe, with AI becoming more common for managing labour and performance, as well as employee communication. In African organisations, where there is increasing adoption of remote work, hybrid models of work, digital collaboration, and data-based HR management, the…
Open access
Wellbeing
Dependence
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryWhile refusal-based safeguards to mitigate hallucinations in large language models (LLMs) are becoming increasingly common, they may conflict with users' preferences for definitive answers. However, we know little about how users respond to refusals across repeated interactions, when refusals become more or less acceptable, and for whom. In this work, we examine how refusal frequency,…
Open access
Trust and overreliance
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryGenerative AI (GenAI) tools are increasingly woven into how blind and low-vision (BLV) people communicate, not only with digital information, but with the physical world and with other people. Tools such as ChatGPT, Google Gemini, Be My AI, and Seeing AI translate visual and textual content into accessible form, and are beginning to substitute for interpersonal requests for help, such as asking a…
Open access
Dependence
Social behaviour
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryResearchers assessing competent generative-AI use at work must choose among self-reports, objective tests, and measures of oversight and reliance. We conducted a structured, seeded review of 24 focal empirical publications, starting from the 2024 COSMIN-based review and adding a targeted update through 17 August 2026. We grouped the measures into four domains: knowledge and use, epistemic…
Open access
Trust and overreliance
Dependence
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryAI model updates and service withdrawals can disrupt relationships with AI companions, but research has largely examined individual platform events. Less is known about users' responses when multiple providers implement shared national regulations. We examine users' reactions and collective contestation surrounding China's 2026 regulation of anthropomorphic AI interaction services. We collected…
Open access
Relationships
Dependence
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryCan interacting with someone from 1930, with no knowledge of what happened after, influence a person's perception of the past? People reason about the present against a picture of the past without observing it. The past is reconstructed from memory and testimony, but this reconstruction has been filtered through everything that happened since. Historically-bounded large language models (LLMs)…
Open access
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryAI-generated summaries increasingly mediate how people interpret information across platforms, including product reviews on e-commerce sites. Using Amazon's AI summaries as a case study, we conducted a preregistered, randomized experiment (N = 278) comparing how AI summaries and user reviews shaped product perceptions, and how their influence varied with valence and presentation order. We found…
Open access
Trust and overreliance
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryOnline mental health communities thrive on peer support, yet those who volunteer to help often lack formal training and may struggle to articulate supportive responses. AI co-writing could lower this barrier; however, peer support derives much of its value from being perceived as personal, raising questions around authorship, ownership, and trust. We built PeerPen, a writing assistance tool…