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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36 matching stories
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryUser trust is paramount in human-agent interactions, as it allows users to feel comfortable being themselves around an agent. The process of building user rapport starts in how an agent was designed, from its modality to the setting, to any of the many features and characteristics that can be tailored. All these aspects can affect whether users will be able to properly interact with the virtual…
Open access
Trust and overreliance
arXiv — Computers and Society (cs.CY) · Research · Global
Source summaryAcademic dishonesty is an urgent problem in computer science (CS) education, compounded by the rise of artificial intelligence (AI) and the prevalence of online learning in a post-COVID world. Self-efficacy and the impostor phenomenon are psychological constructs linked to academic dishonesty, yet little research has examined how they relate to how students perceive it. This study investigates…
Open access
Cognition
arXiv — Computers and Society (cs.CY) · Research · Global
Source summaryGenerative artificial intelligence (GenAI) is increasingly embedded in university students' academic work, yet student engagement is often examined through adoption, frequency of use, or general perceptions, with less attention to how it is shaped by linguistic and sociotechnical conditions. This comparative qualitative study examines how university students access, incorporate, and evaluate…
Open access
Dependence
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryYoung adults of color (YOC) face heightened mental health challenges and barriers to care while navigating developmental and life transitions. Situated between youth-oriented safeguards and adult-oriented AI systems, little is known about how they use AI chatbots for mental health and well-being support or how sociocultural contexts shape their expectations, concerns, and design preferences. We…
Open access
Wellbeing
Trust and overreliance
arXiv — Computers and Society (cs.CY) · Research · Global
Source summaryGenerative AI weakens the link between assessed performance and the cognitive processes that educational work is expected to reflect. This paper examines observable traces of those processes in a sample of 150 student-AI conversations. The analysis uses the concept of epistemic ownership as an interpretive framework, focusing on three dimensions that can become visible in interaction: Direction,…
Open access
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryAI can help adults produce plausible workplace artefacts while leaving their independent reasoning difficult to inspect. LearnAdapt Praxis addresses this design problem through a five-stage learning workspace: Frame, Learn, Build, Validate and Transfer. The application stores an initial response, versioned specifications, coaching records, validation observations, a separate transfer response and…
Open access
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryGenerative AI can support writing, but frictionless access may cause cognitive offloading before users develop their own ideas. We introduce Engage-to-Unlock, a productive-friction mechanism that unlocks generative capabilities after users meaningfully engage with the task. In a controlled experiment (N = 398), participants completed a writing task under one of four conditions: Human-Only,…
Open access
Cognition
International Journal of Human-Computer Interaction · Research · Global
Source summaryThis research full paper examines how undergraduate students use large language models (LLMs) across computer science subfields. As LLMs become increasingly integrated into computing education, understanding how their use varies across technical and pedagogical contexts is essential for designing effective, subfield-aware instruction. This paper presents a cross-subfield analysis of LLM usage…
Open access
Cognition
Trust and overreliance
arXiv — Computers and Society (cs.CY) · Research · Global
Source summaryLarge language models can generate plausible solutions to programming assignments, making it tempting to detect their use by matching student code against a reference bank of generated solutions. Yet similar code can also arise when an assignment admits only a few natural implementations, which leaves open what a match actually shows. We investigate generated-reference matching using 29,970…
Open access
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryLarge language models are increasingly used as collaborators on deductive-reasoning tasks, but their outputs can hallucinate or pull users away from intended reasoning. Formal proof assistants provide machine-checked verification, but have a steep learning curve and require more granular reasoning than human written proofs. We explore an interface that combines these strengths, allowing users to…
Open access
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryAI could support children's pretend play, but it could also direct the play on behalf of children. Whether AI should have roles in children's lives is controversial because its influence on children remains uncertain. We conducted semi-structured interviews with 10 U.S. parents, each with at least one child aged 4-15. During the interview, we described the concept of AI-supported pretend play and…
Open access
Relationships
Dependence
Wellbeing
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryEffective human-AI collaboration requires partners to establish references through interaction, which becomes fragile when descriptions are ambiguous, similar referents compete, or partners see different things. We study referential uncertainty - uncertainty over which candidate object a description refers to - in a collaborative puzzle task where a human Helper instructs an AI Worker to place…
Open access
Trust and overreliance
Cognition
International Journal of Human-Computer Interaction · Research · Global
Source summaryGenerative AI search and AI overviews are transforming access to information and news, renewing concerns that readers will encounter a narrower range of topics and have less in common. We examine these concerns via a randomized field experiment with 37,561 readers at The Washington Post. Both groups searched the same archive, but treatment readers also received AI answers with article citations…
Open access
Cognition
Social behaviour
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryEmotion prosody perception requires simultaneous processing of acoustic cues and speaker identity. While listeners effortlessly decode natural speech, AI synthetic voices introduce cognitive complexities due to subtle acoustic atypicalities. It remains unclear how these synthetic features interact with a listener's prior social knowledge and memory of a familiar speaker. This study investigated…
Open access
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryOrganizations started listening to employees through conversational AI agents alongside structured surveys. Little is known about what these channels change in what employees say when disclosure carries hierarchical risk. We report a field study inside a global management consulting firm whose process pairs a pre-survey with an adaptive AI voice interview on the same themes within one session.…
Open access
Trust and overreliance
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryConversational agents increasingly interact with children, yet evidence on how their design shapes children's susceptibility to persuasion comes almost entirely from the lab. We report a $2\times2$ randomized field experiment embedded in a public German Santa Claus telephone hotline. Children's calls were randomly routed to one of four LLM voice agents varying persona (Santa, high authority, vs.…
Open access
Trust and overreliance
Social behaviour
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryCompanion agents describe themselves: they remember, they understand their users, the relationship has changed them. We argue that such accounts, and the experience ratings that seem to confirm them, are checkable by users only where the evidence is theirs: in the agent's behavior, or in themselves. Where the evidence lives in the machinery, fluent self-description and moderately positive ratings…
Open access
Relationships
Trust and overreliance
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryPet bereavement often receives little social recognition. Generative AI can give a continuing bond a responsive voice, but a comforting reply may also claim authority to forgive or request attention. We investigate how a memorial can support connection without turning remembrance into obligation. Through Research through Design, we developed Afterglow, a mobile world connecting private…
Source summaryNature Human Behaviour, Published online: 30 September 2026; doi:10.1038/s41562-026-02580-8 Corpus et al. examine how the introduction of an AI writing tool impacted Change.org petitions, finding that it increased petition homogeneity but did not improve petition outcomes.
Source summaryOnline knowledge communities rely on a division of epistemic labor between users who seek information and those who produce it. Generative AI may blur these roles, but how it reallocates knowledge-seeking and knowledge-producing activities and reshapes the nature and returns of participation remains unclear. We examine changes in question-asking and answering among Stack Overflow user groups,…
Open access
Cognition
Social behaviour
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryGenerative AI (GenAI) tools entered higher education classrooms faster than the field was able to study their effects on learning. One concern is that GenAI may displace the critical thinking and AI literacy that students will need after graduation. This paper reports a Design-Based Research pilot of a GenAI-assisted critical thinking framework, in which ChatGPT was used as a thinking partner in…
Open access
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryA generative AI teaching partner should support reasoning over supplying conclusions; however, this has not been tested against learning in an authentic course. Drawing on design-based research, we specify the position as a conjecture map and report a first design cycle in two graduate-level research methods courses. Students used an AI teaching partner employing a constraint-first sequence…
Open access
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryPublic understanding of how people use LLM-based conversational AI assistants comes primarily from aggregate platform reports by OpenAI and Anthropic, which apply fixed taxonomies and inferred demographics to hundreds of millions of users and release only summary statistics that outside researchers cannot re-analyze. We provide a complementary, conversation-level view: complete ChatGPT exports…
Open access
Dependence
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryHow students interact with artificial intelligence (AI) systems in educational settings may determine whether that interaction supports or displaces critical thinking. This paper introduces two contributions. The first is the Three Paths of Student-AI Interaction, a typological framework identifying three qualitatively distinct modes of student-AI engagement: Passive Review, Direct Question, and…
Open access
Cognition
Dependence
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryGenerative AI (GenAI) is changing software development workflows and how developers work. Industry evaluations of GenAI adoption often monitor productivity gains, usage, and output quality, but limited attention is paid to the interaction experience and cognitive load of the actual adopters and drivers of GenAI technology - the software developers. Understanding whether GenAI changes or shifts…
Open access
Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryNatural-sounding multi-agent conversational AI is increasingly deployed, fundamentally altering human-machine interaction and human information processing. While prior work largely focuses on algorithmic failure, this study investigates the cognitive ergonomics and socio-cognitive impact of algorithmic competence. We present and evaluate FORMS (Framework for Opinion and Rhetoric in Multi-agent…
Open access
Cognition
Trust and overreliance
Social behaviour
Behaviour & Information Technology · Research · Global
Source summaryNature Human Behaviour, Published online: 29 September 2026; doi:10.1038/s41562-026-02604-3 Acquiring knowledge and expertise is a long process. Today, artificial intelligence (AI) tools can amplify what people are able to do, but this may pose problems for the development of the next generation of experts, argues Sheng-Tun Li.
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Cognition
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryLarge language models (LLMs) are increasingly positioned as a force to empower underserved communities, and significant efforts are being made to expand access. Yet, access alone does not equate to meaningful adoption. First, even if a system is accessible, it won't be adopted if users are not willing to adopt it. Second, even if an LLM system is superficially adopted, the heterogeneity of LLM…
Open access
Dependence
arXiv — Human-Computer Interaction (cs.HC) · Research · Global
Source summaryAI-powered lifelogging wearables are emerging as a new class of consumer devices that transform everyday experience into searchable, AI-curated memory archives. We study early public sensemaking around these systems at the moment of their market entry, using the Looki L1 as an empirical lens. Analysing large-scale Chinese-language and English-language social media discourse (N = 5,053 comments),…
Open access
Social behaviour
Wellbeing
International Journal of Human-Computer Interaction · Research · Global
Source summaryText-to-image generative AI can produce renderings from natural-language prompts in near real time, making it increasingly popular for rapidly visualizing concepts in early-stage architectural design. Meanwhile, exchanging ideas efficiently and building shared understanding have long been central challenges in architect-client communication. How might the speed of generative image AI change this…