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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37 matching stories
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryWhile memory enhances personalization in LLM-based conversational agents, it suffers from memory misalignment, where memories violate user expectations. We present a mixed-methods investigation to characterize and mitigate memory misalignment from user perspectives. First, we collected data from memory usage (N=28, 457 entries) and diary study (N=32, 304 reports), which yielded a taxonomy…
Source summarynpj Digital Medicine, Published online: 26 September 2026; doi:10.1038/s41746-026-03309-7 Large language model–assisted preoperative communication reduces patient anxiety and physician workload in prostate cancer: a prospective randomized phase II trial
Source summaryBackground: Borderline personality disorder (BPD) is associated with substantial distress and a high risk for suicide. Individuals with BPD may be unable to access evidence-based treatments like dialectical behavior therapy (DBT). Artificial intelligence conversational agents (AI-CA) are increasingly discussed as scalable tools for mental health support, but little is known about how DBT…
Open access
Relationships
Dependence
Wellbeing
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryAI is becoming increasingly integrated into daily workflows, especially in computing. We are gradually shifting towards an AI-rich future, an impending yet unknown one. One important emerging concern is whether we are accordingly preparing our future computing workforce. Further, we need to know what the important cognitive skills are to remain relevant in the computing workforce and if there are…
Open access
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryAI assistance can improve performance without improving self-assessment. We report a study (N=366) comparing Human alone and Human+AI performance on reasoning tasks, for which the AI model is benchmarked on the same items. Participants estimated global and block performance and rated confidence in their answers. Human+AI achieved higher scores, but self-estimates tracked performance weakly.…
Open access
Cognition
Trust and overreliance
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryLarge language models (LLMs) have become fixtures of academic work even as their users describe them as degrading their writing, thinking, and skills. Dominant adoption frameworks read continued use as evidence of satisfaction, and cannot explain continued use of a distrusted tool. We interviewed 36 graduate student workers, balanced between English-as-a-foreign-language (EFL) and non-EFL…
Open access
Cognition
Dependence
Trust and overreliance
Journal of Medical Internet Research · Research · Global
Source summaryBackground: Globally, health systems face increasing challenges due to improved life expectancy, rising levels of disease, greater expectations for health care, and growing expenditure. AI-based technologies are increasingly used to support clinical decision-making and contribute to effective delivery of care. AI has significant potential in terms of diagnostics and treatment for preventive and…
Open access
Trust and overreliance
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryAs researchers tackle interdisciplinary problems, they face the need to deepen expertise in primary areas while rapidly acquiring knowledge in secondary domains. Generative AI (GenAI) is increasingly positioned to meet this need, from general-purpose chat assistants to Deep Research tools marketed as autonomous research agents. Prior work has examined how researchers use GenAI to support…
Open access
Cognition
Trust and overreliance
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryEliciting rich data in semi-structured interviews is cognitively demanding, prompting recent work to explore real-time AI assistance for interviewers. However, introducing AI into the interviewer-interviewee interaction creates a triadic context whose social dynamics remain underexplored. We investigated how interviewers experience AI assistance for probing during semi-structured interviews. To…
Open access
Social behaviour
Trust and overreliance
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryEnterprise AI is transitioning from single-user, reactive tools toward proactive, multi-user 'teammates,' but our empirical understanding of this transition is limited. In this paper, we present an in-situ qualitative study of a persistent, proactive AI agent 'teammate' deployed across multiple teams in a large technology company. Our findings reveal the boundaries of the human-agent workplace…
Open access
Trust and overreliance
Social behaviour
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryWe introduce PUBG Ally, an embodied agent for PUBG: BATTLEGROUNDS that can reason, act autonomously, and play alongside players as a voice-enabled teammate. Building such a teammate requires combining two difficult capabilities: it must perceive and respond to a constantly changing game world under strict latency constraints while interacting naturally with players, keeping its speech…
Open access
Relationships
Social behaviour
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryCommunities often respond to potentially AI-assisted work by asking three questions: Was AI used? Was that use disclosed? Can hidden use be detected? These questions place AI use itself at the center of accountability while overlooking a deeper problem: unowned judgment. Evaluations, claims, decisions, and creative directions can be shaped by AI with no accountable human or institution prepared…
Open access
Trust and overreliance
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryHuman-robot interaction (HRI) claims that people form attachments and social bonds with artificial agents, yet the terms are often applied without the behavioural and physiological criteria that give them content in their source disciplines. Without this empirical grounding, studies deploy widely divergent methods, frequently producing expansive relational claims that far outstrip their…
Open access
Relationships
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryStudents increasingly turn to AI for help with problem-solving, yet too much AI support can undermine learning itself. To benefit from AI, students need to specify the necessary knowledge and scaffold type in their questions. However, they struggle to formulate such targeted questions because they lack metacognitive skills to recognize and select effective help options. We developed HelpCoach, an…
Source summaryAI-generated summaries are increasingly used in high-stakes settings, like policing, despite considerable evidence that AI often generates misleading or inaccurate information. This research asked: do errors in AI-generated summaries distort human memory? To answer this question, we adopted two methodological approaches. First, we conducted an analysis of AI summary output, prompting large…
Open access
Cognition
Trust and overreliance
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryLLM-powered conversational agents (CAs) often present uncertainty and provenance cues alongside their responses to help users assess response reliability and identify potential hallucinations. In immersive environments such as Virtual Reality (VR), CAs often take the form of speech-based embodied conversational agents (ECAs), where uncertainty and provenance cues cannot rely on persistent inline…
Open access
Trust and overreliance
arXiv — Computers and Society (cs.CY) · Research · Global
Source summaryIncreasing numbers of people now routinely interact with large language models (LLMs) across many aspects of life, including in the workplace, educational settings, and for personal activities. The pace at which these tools have been adopted across society in recent years has led to substantial shifts in the ways in which people approach tasks and access information and advice. As a result, it is…
Source summaryPowerful artificial intelligence is weakening the traditional relationship between mathematical output and evidence of mathematical expertise. In particular, the production of an original theorem or a polished dissertation can no longer, by itself, certify the intellectual formation of its nominal author. I argue that graduate mathematical education should therefore be organized around the…
Open access
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryAs AI systems are increasingly integrated into professional work, reflection strategies such as cognitive forcing and prompts that foster critical engagement have shown promise in reducing overreliance and improving decision quality. However, these strategies have primarily been evaluated as short-term interventions within single sessions. The next challenge is to assess whether such mechanisms…
Open access
Cognition
Dependence
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryAs embodied agents take on increasingly social and relational roles in VR, visual realism and embodiment alone may be insufficient; users must also perceive these agents as emotionally attuned, supportive, and humanlike. Prior work suggests that verbal attunement and nonverbal mimicry can each improve users' social evaluations of embodied agents. However, behavioral mimicry has largely been…
Open access
Relationships
Wellbeing
Computers in Human Behavior Reports · Research · Global
Source summaryThis paper presents a multi-source classroom study conducted during a 10-week quarter in data science courses at Drexel University. We first investigate the behaviors of student engagement with large language models (LLMs) using four surveys across three data science courses. Second, we evaluate the construct validity of multiple-choice questions (MCQs) generated by an LLM for in-lecture…
Open access
Dependence
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryConversational AI systems can pose safety risks to their users such as hallucination, sycophancy, overconfidence, and anthropomorphism, but these risks are difficult for users to detect during everyday use. We introduce Safety Nudges, a browser-based tool that provides lightweight, in situ flags when concerning behavior is detected in chatbot conversations. We evaluated Safety Nudges in a…
Open access
Trust and overreliance
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryAI assistants that support email composition may shift cultural communication norms, such as the directness typical of low-context cultures like the US versus the indirectness and contextual sensitivity central to high-context cultures like Japan. Yet it remains unknown to what extent people adopt and edit AI drafts inconsistent with their cultural communication norms. We address this through a…
Open access
Cognition
Social behaviour
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryDespite the emergence of large language models (LLMs) for visual data storytelling workflows, there are open questions about how authors decide what activities or tasks to entrust to them and what should be "protected" or maintained under human control. To investigate this, we interviewed a cohort of 12 expert visual data storytellers. Our analysis shows that participants rarely treated LLMs as…
Open access
Cognition
Trust and overreliance
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryLarge language models increasingly support decisions where values are in tension, yet little is known about whether interacting with them changes which values users prioritize. In a preregistered study, 200 U.S. adults interacted with ChatGPT, Claude, or Gemini as a thinking partner or read fixed AI-generated considerations. The prompt asked LLMs to support reasoning without recommending a…
Open access
Cognition
Trust and overreliance
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryEmotion coping is inherently relational, unfolding through interactions with friends, family, professionals, and communities. Yet AI chatbots are largely designed around a user--AI dyad. Learning from the ethics of care, we examine how AI chatbots shape the relational conditions of emotion coping. We conducted a scenario-based study with 17 U.S. young adults across four emotion coping scenarios.…
Open access
Relationships
Wellbeing
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryChildren increasingly interact with AI chatbots, making trust calibration essential to AI literacy. Prior research has examined children's trust in AI mainly as users evaluating systems built by others, rather than as designers of their own chatbots. We developed a chatbot-building environment with adjustable trust-relevant traits (e.g., confidence, transparency, formality, assertiveness), rules,…
Open access
Trust and overreliance
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryChildren with autism spectrum disorder (ASD) have social-emotional deficits that lead to difficulties in recognizing emotions as well as understanding and responding to social interactions. This study presents EMooly, a tablet game that actively involves caregivers and leverages augmented reality (AR) and generative AI (GenAI) to enhance social-emotional learning for autistic children. Through a…
Open access
Social behaviour
Wellbeing
arXiv — Computers and Society (cs.CY) · Research · Global
Source summaryThe rising global prevalence of mental health conditions, together with longstanding barriers in traditional healthcare, such as limited resources, high cost, stigma, and privacy concerns, has created an urgent need for accessible and scalable support. Large Language Models (LLMs) have emerged as a transformative technology with strong potential to democratize mental health support through…
Open access
Wellbeing
Relationships
Dependence
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryThe ideation phase of participatory AI risk assessment often starts with a blank slate or a limited list of predefined risks, making it difficult to surface indirect or systemic harms. To address this limitation, we propose a three-stage ideation support tool. The tool complements participatory AI, rather than replacing it, and helps focus later engagement with affected communities. First, it…
Open access
Trust and overreliance
Social behaviour
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryThe integration of AI into larger technical infrastructures has made the alignment of human trust with system trustworthiness, known as trust calibration, a critical engineering concern, since misplaced trust in either direction leads to operational and safety risks. While conceptual frameworks provide a strong foundation for understanding trust calibration, their translation into running systems…
Open access
Trust and overreliance
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryAutobiographical remembering supports identity, well-being, and social connection in later life, yet voice-based memory technologies largely rely on isolated prompts. We designed and built MeBo, a fully functional relational voice-based memory companion, through participatory design with 11 older adults. Their accounts shaped four Design Strategies that guided MeBo's interaction design and…
Open access
Relationships
Wellbeing
Trust and overreliance
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryAs people turn to generative AI for financial advice, these systems can personalize how they communicate and what they say. Whether these forms of personalization shape decisions differently remains unclear. We conducted a preregistered 2 x 2 between-subjects factorial experiment (N=240): participants ranked three comparably viable stocks, discussed them with an AI, and reranked them.…
Open access
Trust and overreliance
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryStudents increasingly study alongside generative artificial intelligence (AI), yet unguided access to fluent answers invites cognitive offloading, and there is little evidence on which configurations of AI tutoring produce learning. Two design margins are usually bundled together: pedagogical structure (how the tutor teaches) and interaction modality (how students talk to it). We separate them.…
Source summaryNature Reviews Psychology, Published online: 21 September 2026; doi:10.1038/s44159-026-00620-8 When conversational AI validates delusional beliefs