在女性戒毒康复过程中，情绪调节困难是导致复吸的重要风险因素。与此同时，羞耻感、低自尊以及认知功能受损等问题，也进一步削弱了她们学习并持续运用情绪调节技能的能力。针对封闭环境中相关人群长期技能迁移研究相对不足的问题，我们设计并评估了一款基于低成本音频输入的七天阶段式呼吸生物反馈游戏。该游戏旨在支持情绪调节技能的习得与迁移，增强个体的自我效能感与自我接纳水平，并促进持续注意和长期参与。

在一项为期六周、共有60名参与者参与的对照研究中，结果表明，该游戏不仅保持了较高水平的参与度，还有效提升了参与者的呼吸技能，促进了相关技能向日常生活中的迁移，并缓解了负性情绪。最后，我们基于研究发现总结了五项设计启示。

本研究提出 GestuProp，一种基于共语手势（co-speech gestures）的虚拟现实（VR）道具生成系统。该系统通过结合语音与自然手势输入，使用户能够在VR环境中快速生成和调整三维道具。我们开发并实现了原型系统，并通过用户实验对其可用性与用户体验进行了评估。研究结果表明，GestuProp具有良好的可用性和积极的用户体验，同时也揭示了不同物体类别对手势使用方式与交互策略的影响。研究结果表明，语音与手势的协同交互机制能够有效支持VR中的三维道具生成任务，并为基于自然交互的VR内容创作工具设计提供了新的思路。

本研究提出了 RePairAR，探索如何利用多模态大语言模型，将拆解视频转化为可在增强现实（AR）中呈现的重装配指导，从而在不依赖特定产品说明书或 3D 模型的情况下，生成可用的AR维修指南。其核心目标是为用户提供可理解、可跟随的支持，降低日常家电维修的进入门槛。另外，RePairAR 体现了维修知识生成方式的改变，把原本较为封闭的、主要掌握在厂商或专家手中的维修知识重新组织为用户可以基于自身操作过程来生成、调用和掌握的实践资源。本研究希望以此推动更多关于“日常维修、延长产品使用寿命”的讨论，并支持更可持续的使用与消费行为。

该研究提出了 DuoMorph——一种将 FDM（熔融沉积成型）打印与气动驱动协同融合的设计与一体化制造方法，用于创造新型形变交互界面。

与以往研究将气袋与打印结构分步制作再拼接不同，DuoMorph 中的打印结构与热封气动元件相互设计、相互配合：打印结构既可被气袋驱动而运动，也可约束气袋的形变方式；同时，整个混合结构可仅用一台标准 FDM 打印机通过单一连续流程完成制造，涵盖热封与 3D/4D 打印两种形式，大幅降低人工成本，并提升制造精度与一致性。

研究定义了一个四维设计空间，涵盖打印结构与气动元件相互作用的四种基础设计空间。并提供了配套的设计工具，可自动生成 G-code；并通过动态植物雕塑、仿生夹持器、定制按摩颈枕、刺猬桌面玩具等四组应用示例展示了 DuoMorph 的创作潜力。系统性粘附强度测试与 4D 打印弯曲实验则进一步验证了该方法的可靠性与可复现性。

直播电商依托算法推荐、限时促销等机制催生大量冲动消费，既损害消费者财务福祉，也加剧过度消费的社会问题，而现有研究尚未针对该场景构建适配的理性消费支持体系。本研究以人机交互为视角，融合消费心理学与人工智能技术，通过问卷调研、半结构化访谈和协同设计工坊，揭示直播消费冲动的动机 - 能力 - 触发三维驱动机制，明确用户对 AI 干预 “赋能而非替代” 的核心需求。

基于此，设计并实现多模态 AI 理性消费支持系统 BuyMate，搭载同类产品对比、销售话术识别与重构两大核心模块，以轻量、可控的文本 / 语音形式提供实时中立的决策支持。通过对受试者的混合方法用户评估，验证了 BuyMate 能显著减少冲动购买行为、提升消费者决策自主性，且可培养用户对营销诱导的识别能力，推动消费行为向可持续转变。

研究提出兼顾情感体验与理性干预、设计可控界面增强用户信任的设计策略，为直播电商领域负责任 AI 的设计与落地提供了理论框架和实践参考，拓展了人机交互在消费领域的研究边界，也为构建健康的直播电商消费生态提供了技术路径。

本研究提出了一种基于真实人宠互动数据的情感机器人设计方法，并开发了MojiKit工具包，将互动模式转化为可供设计实践应用的资源。与以往侧重形态模仿的路径不同，研究聚焦于人类如何解读动物行为并构建情感意义。通过工作坊分析，揭示了关键设计洞见：情感的核心在于动作发生的节奏、空间与关系语境；设计需在真实感与可读性间权衡，情感表达本质上是可解释性问题；动物的特征可拆解为部分形态与节律线索，嵌入日常物件以拓展设计边界；情感互动常被视为关系状态的维系过程，而非孤立表达。方法论上，MojiKit提供了一条数据驱动、面向实践的路径，将分散经验结构化，降低设计门槛，避免将动物启发简化为表层拟态，实现了动物启发式交互在分析与实践层面的系统化表达与复用。（论文获取地址：https://arxiv.org/abs/2603.11632）

This work proposes a data-informed approach to affective robot design grounded in real-world human–pet interactions, and introduces MojiKit, a toolkit that translates interaction patterns into resources for design practice. Rather than focusing on morphological mimicry, the work examines how humans interpret animal behavior to construct emotional meaning. Workshop findings highlight that affect is shaped by movement timing, spatial configuration, and relational context; that design involves balancing realism and legibility as an issue of interpretability; and that animal characteristics can be decomposed into partial morphologies and rhythmic cues embedded in everyday artifacts. Affective interaction is further understood as the maintenance of relational states rather than isolated expressions. MojiKit structures fragmented experiential knowledge into reusable resources, offering a practice-oriented, data-informed pathway for affective HRI design beyond superficial mimicry.

老年人正越来越多地被邀请参与人机交互领域中的思辨性设计活动，但关于研究者如何促进这些过程，以及这一群体如何参与到塑造替代性的当下以及社会—技术的未来中，目前仍缺乏系统性的认识。尽管思辨设计方法通常旨在支持非设计背景的参与者参与设计过程，但在与老年人合作时却面临一些独特挑战，使其参与过程变得更加复杂。为建立更为全面的理解，我们对44项涉及老年人参与式思辨设计的既有研究进行了范围综述，重点分析其研究目标与方法论动机、促进方式，以及老年人如何参与思辨活动。通过这一分析，我们识别出持续存在的方法论张力，指出在与老龄群体开展更具包容性的思辨实践方面的潜在机遇，并提出了对未来设计实践的启示。

Older adults are increasingly invited into speculative activities within HCI, yet little is known about how researchers facilitate these processes or how this population engages in shaping alternative presents and socio-technical futures. While speculative design methods often aim to support non-designers to contribute to design processes, engaging older adults poses unique challenges that complicate their involvement. To build a comprehensive understanding, we conducted a scoping review of 44 prior studies on speculative design involving older adults, focusing on the research objectives and methodological rationales, facilitation, and how older adults engage in speculation. Through this analysis, we identify persistent methodological tensions, opportunities to advance more inclusive speculative practices with aging populations, and suggest implications for future practice.

近年来，人机交互领域中关于关怀（Care）的研究论文数量迅速增长。尽管学界对“关怀”既作为技术应用领域、又作为研究与设计中的伦理立场的关注不断增强，但对这一概念的整体性理解仍然有限。不同关怀应用领域之间如何相互关联，其背后的基本假设在多大程度上是一致或存在张力，以及这些研究如何共同塑造人机交互领域关于关怀的学术话语，尚未得到清晰阐释。为此，本文对317篇SIGCHI会议中与关怀相关的论文开展了元叙事综述。首先，梳理了HCI领域中关怀研究的整体图景；其次，提出了六种典型的关怀理解框架，并构建了一个概念图谱，以呈现这些框架之间和其所体现的“关怀—技术”关系，以及该领域的时间演进脉络。最后，文章讨论了该综述对于人机交互研究的启示，并指出当前研究的不足与未来方向。

（网站：https://care-hci.org/）

The number of HCI papers on care has grown rapidly in recent years. Despite growing interest in care both as an application domain for technology and as an ethical stance in research and design, our integrated understanding of the concept is limited. It remains unclear how various application areas of care relate to one another, to what extent their underlying assumptions align or contradict, and how they collectively shape HCI discourse on care. To address this, we present a meta-narrative review of 317 SIGCHI papers on care. We first outline the landscape of care in HCI. We then present six paradigmatic framings of care, and a conceptual map that positions these framings in relation to each other, their representative care–tech relations, and the temporal development of the field. We conclude by discussing the implications from the review, as well as gaps in the field and future directions.

这篇论文介绍了一种为虚拟现实量身打造的新型气味交互装置。它的独特之处在于，无需借助风扇或喷雾，而是利用使用者自然的呼吸气流，从装置内置的微型气味仓中带出气味分子，并将其同步送入鼻腔。这种呼吸驱动的设计不仅实现了气味的即吸即得和浓度的快速调节，还从根本上避免了传统设备带来的额外风感、湿气等干扰，让虚拟世界的嗅觉体验更加纯粹、真实且具有空间方位感。

We present a breath-driven odor display device that enables spatial odor perception in virtual reality, relying on users’ natural inhalation rather than pumps or fans. The device supports rapid concentration adjustment through two models: a continuous gradient (monotonic concentration change with position) and a plume (intermittent, fluctuating patterns resembling natural dispersal). To explore its potential, we conducted a proof of concept evaluation across four tasks: concentration discrimination, direction and distance localization, and integrated position searching. Results show that the device can dynamically modulate odor concentration for spatial olfactory perception. Our findings further reveal complementary strengths and limitations of the two models—gradients support stable, precise cues, whereas plumes better emulate natural variability. This work introduces a simple yet effective method for simulating spatial odor experiences in VR, offering a lightweight, energy-efficient pathway that expands the design space for olfactory interaction research in virtual environments.

Senior architects are pivotal in shaping architectural projects, yet integrating Generative AI (GenAI) into their workflows presents notable challenges. A formative study (N=11) identified key pain points in their early concept design process. To address these, we developed EarlyArchi, a GenAI-driven system supporting automated concept generation and evaluation. In a within-subject study (N=13), participants used EarlyArchi for early-stage design tasks. Results

showed enhanced perceived creativity, improved design competency, and more efficient ideation. However, concerns emerged regarding controllability and domain-specific accuracy, highlighting the need for features that preserve professional autonomy and trust.

Further analysis revealed three GenAI involvement modes—fully AI-driven, GenAI-led, and human-led—emphasizing the importance of adaptive role allocation in balancing creative exploration with expert leadership. These findings offer insights into supporting senior architects through GenAI while identifying key considerations for designing future human–AI co-creation systems.

Online communities often develop shared symbolic vocabularies that strengthen insider bonds but implicitly marginalize newcomers. On Chinese platforms, this dynamic is exemplified by “absurd language,” a style distinguished by irony, exaggeration, and local memes. While this form of expression fosters in-group intimacy, it creates significant cultural barriers for “Sino-digital non-natives.” This study investigates how AI can mediate cultural integration beyond mere translation. We developed an AI mediator integrating Chain-of-Thought (CoT) and Retrieval-Augmented Generation (RAG) to scaffold this journey. A mixed-methods evaluation (N=14) demonstrates significant improvements in comprehension accuracy over a baseline LLM. Crucially, our qualitative analysis reveals a novel five-stage model of cultural integration. This model charts the user’s journey from peripheral observation to confident participation, detailing the AI’s evolving role from “expert guide” to “creative collaborator.” Our findings illuminate the dynamics of agency and trust, offering a framework for designing AI as a catalyst for community integration

参与在线社区有助于增强退休老人的社会连接感。然而，这种参与往往依赖于细致的引导，且有时会受到自我评价焦虑的阻碍。本研究探讨了使用基于大语言模型的多元对话代理（Polyadic Conversational Agents, CAs）来支持社区参与的可能性。通过“绿野仙踪”实验，我们在真实园艺社区中部署了多元对话代理“小植”，并结合三个月的观察与 12 场深入访谈进行实证评估。结果显示，“小植”在社区中呈现了了从领域专家、群体吉祥物到社区成员的多重角色。它为用户参与提供了多维度的支架式引导：1）提供贴合语境的解释和提示，降低认知门槛；2）确保响应的即时性，缓解社交尴尬；3）引导观点，生成作品，激发自我表达。最后，我们讨论了设计多元对话代理的启示，包括人格化悖论、策略性脆弱性，以及私密与公共交流空间的平衡。

Participation in online communities fosters valuable social connectedness for retired adults. However, participation depends on careful facilitation and is sometimes hindered by self-evaluative concerns. In this study, we examine the use of polyadic conversational agents (CAs) - AI systems for multi-party interactions - to support community participation. Using a Wizard of Oz approach, we deployed Xiaozhi, a polyadic CA, into an online gardening community. We evaluated it through observations over three months and 12 semi-structured interviews. Our findings demonstrate diverse roles of Xiaozhi in the community, ranging from domain expert and group mascot to peer member. It provided multidimensional support for participation: 1) lowering cognitive barriers by offering context-aware explanations and prompts; 2) reducing social awkwardness by ensuring guaranteed responses; and 3) encouraging expressions by guiding users to crystallise their ideas. We discuss implications for designing polyadic CAs, including the anthropomorphism paradox, strategic vulnerability, and balancing one-on-one and one-to-many interactions.

社交机器人日益被视为支持居家养老的重要载体。然而，现有研究大多聚焦于二元陪伴或功能性辅助，往往忽视了机器人在共享社区空间中如何把握复杂的情境边界——即何时介入、何时退出社交场景。我们与20位社区老年人开展了参与式设计工作坊，探究他们对社交机器人在公共情境中的认知与期待。研究发现，参与者对纯粹工具性机器人的功能冗余性持怀疑态度，认为其与现有工具相比并无显著优势；但与此同时，他们对环境活跃感表现出强烈渴望，期待机器人扮演社交催化剂的角色。参与者将机器人视为需要协商其在场方式的社会行动者，而非单纯的工具。基于此，我们以"机器人作为客人"为设计隐喻，提出相应设计启示，使机器人能够识别情境边界，在尊重老年人自主性的同时缓解社会孤立。

Social robots are increasingly recognized as promising agents to sup- port aging-in-place. However, existing research primarily focuses on dyadic companionship or functional assistance, often overlook- ing how robots should navigate the complex contextual boundaries within shared community spaces—specifically, when to enter and when to exit social situations. We conducted a participatory design workshop with 20 community-dwelling older adults to explore their perceptions of social robots in a communal context. Our findings reveal that participants expressed skepticism regarding the func- tional redundancy of purely utilitarian robots compared to existing tools, yet demonstrated a strong desire for ambient liveliness and the robot’s role as a social catalyst. Participants perceived robots not merely as tools, but as social actors whose presence must be negotiated. We propose design implications based on the “Robot as a Guest” metaphor, enabling robots to recognize contextual bound- aries to respect older adults’ autonomy while mitigating social isolation.

投影映射作为一种将数字内容叠加到物理空间中的技术，正在逐渐演变为一种重要的空间创作媒介。随着生成式人工智能在图像与动画生成方面能力的提升，其已开始被整合进投影映射实践之中，拓展了视觉表达的可能性，并降低了内容创作的门槛。然而，目前对于 AI 参与投影映射后创作实践如何发生变化仍缺乏系统性的理解。本文提出了一种 AI 支持的投影映射工作流，将空间判断从传统数字界面中外化至真实物理环境，使创作者能够在真实场景中与 AI 协同进行创作。通过在多种真实环境中开展的形成性研究，本文分析了用户在创作过程中逐步建立空间认知的方式，包括身体移动、感知反馈以及与生成结果的交互。研究进一步总结了关键的交互行为模式，并提出了面向未来 AI 创作工具的设计启示，为理解空间创作、人机协作以及生成式 AI 在创意实践中的作用提供了新的视角。

旧衣改造是日常可持续实践的重要形式，但新手在依赖教学视频开展改造时，往往受限于步骤信息不足、材料与工具条件不匹配，以及操作失误后支持缺失等问题。针对这一挑战，本研究探索将 LLM 助手嵌入教学视频的设计机会。我们以 ReFashionPal 作为技术探针，邀请 14 位参与者完成改造任务，据此分析此类系统在支持旧衣改造中的潜力与局限。

生成式人工智能正日益应用于文化遗产创作，但其生成结果往往呈现文化偏见，对创作者的判断与责任提出挑战。现有研究多从技术或伦理视角审视该问题，较少关注创作者在具体情境中的实践过程。

本研究基于一次敦煌主题的AIGC视频创作工作坊，通过过程观察与访谈，分析创作者在人机协同创作中如何识别、理解并应对AI生成内容中的文化偏见。

研究发现，AI偏见不仅表现为跨文化“西方化”，还体现在文化内部细节的缺失与结构性错误。面对这些问题，创作者需承担“事实校验者”的角色，在文化准确性、审美表达与创作效率之间进行权衡，并形成修正、妥协与回避等多种协商策略。研究进一步指出，AI文化偏见并非单纯的技术问题，而是在具体人机协作中被持续调节的实践现象，同时也加重了创作者的“隐形劳动”。基于此，AIGC系统应从生成导向转向支持创作者的文化判断。

笔式交互研究通常将笔视为一种显式输入设备。然而，在开放式设计与推理过程中，人们常常会产生一些自发的笔势（比如涂鸦、悬停或停顿），这些行为并不直接服务于书写。我们将这类行为定义为无意识笔势：思考过程中自发产生的、非输入导向的笔动。

为此，我们搭建了一套多模态研究平台，结合自研笔套、基于视频的眼动记录以及同步视频录制，将笔势与视觉探索行为进行对齐分析。我们探索性的研究表明，这些笔势呈现出稳定的时间模式，且与视觉探索行为存在一致关联，同时在个人与协作场景下表现出一定差异。

研究发现揭示了笔使用中尚未被充分探索的认知信号，也为面向时序敏感的笔式交互设计指明了新方向。

传统工艺往往依赖难以直接言说、传授和迭代的隐性材料知识。在手工造纸中，水印设计尤其依赖对纤维状态、排水过程和纸张厚度变化的细致理解，而这些经验通常需要通过长期实践逐步积累。本文提出了一种以材料为中心的制作工作流，将3D打印作为一种“材料探针”，用于将原本隐性的工艺知识外化出来。研究通过使用3D打印模具作为对纤维行为的可交互假设，使工匠能够系统地探索、观察和讨论材料属性如何影响最终成品。通过在传统纸坊中的实地部署，研究展示了点状、线状和面状探针如何帮助工匠看见、比较并交流过去主要依赖经验感知的纤维行为。本研究将数字制造重新定位为一种支持认知与材料交互的工具，而不仅仅是自动化手段，并为传统工艺中的材料理解增强提供了一种可迁移的方法。

This work presents EmoFriends, a modular prototyping toolkit designed to lower the barrier for creating customizable, emotion-aware companions from familiar physical artifacts. The toolkit integrates three interchangeable modules: (1) a touch-based sensing unit for capturing affective interaction proxies, (2) an LLM-powered engine for empathetic dialogue, and (3) an embodied feedback module providing haptic and visual cues. By modularizing these components, EmoFriends supports the rapid exploration of diverse companion configurations and foregrounds technological transparency as a design resource for embodied AI. We evaluate the system through technical feasibility metrics (e.g., actuation latency and classification robustness) and an exploratory “first-contact” deployment at a public exhibition (𝑁 = 45). Our findings demonstrate the toolkit’s functional reliability in high-traffic settings and reveal a strong user valuation of customization. However, the study also highlights critical social tensions regarding sensing credibility, privacy, and the social appropriateness of toy-like form factors. We conclude by outlining how modular frameworks can advance the design and research of future embodied affective companions