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Adversarial Co-Thinking: Calibration and Triangulation Across Multiple GenAI Tools in HCI Writing
arXiv:2606.06702v1 Announce Type: new Abstract: This paper examines what happens when GenAI tools are fully embedded in the drafting of an academic paper rather than confined to late-stage polishing. To investigate how an intensive multi-tool GenAI workflow differs from conventional academic writing, I drafted this paper from the first sentence in parallel with three GenAI tools - Claude, ChatGPT, and Gemini - comparing their outputs against my own intended contribution. Across this process,...
xSense Design Cards: Guiding the Design of Multisensory Experiences
arXiv:2606.08632v1 Announce Type: new Abstract: Designing multisensory experiences involves the deliberate combination of sensory elements to shape specific impressions for a given audience. Advances in technologies beyond audiovisual modalities now make it feasible to design across touch, taste, smell, and more. However, HCI still lacks the tools and shared vocabulary needed to systematically create and evaluate such experiences.
A Model of Integrated Information Processing in Human-AI Interaction
arXiv:2606.07283v1 Announce Type: new Abstract: For Human-AI Interaction (HAII) research to move forward, theoretical work linking psychological mechanisms to interface design is needed. Such work should extend rather than replace established HCI and automation research, adapting to the increasing autonomy and agency of AI systems. Building on prior frameworks focused on roles and levels in human interaction with automation, a gap remains from a psychological view: a task-centered,...
Attribution constraints reveal stronger future intensification of the upper‑level Hadley circulation
Attribution constraints reveal stronger future intensification of the upper‑level Hadley circulation Gaby Clark Scientific Editor Robert Egan Associate Editor The Hadley circulation, a key atmospheric conveyor belt transporting heat and moisture from the tropics to the subtropics, directly influences subtropical aridity, the positions of tropical rainfall belts, and extreme weather risks. However, climate models have long shown inconsistencies in simulating its upper-level intensity...
"So There's a Catch-22 Here": How Early Adopters Who Build Multi-Agent LLM Systems Conceptualize Transparency
arXiv:2606.08323v1 Announce Type: new Abstract: Multi-agent large language model (LLM) systems are rapidly emerging, yet transparency, a cornerstone of responsible AI, remains under-defined in these distributed architectures, which have complexities of inter-agent coordination and orchestration. In this paper, we present one of the first empirical study of how early adopters of multi-agent LLM systems, who are both the builders and users, understand and practice transparency. We conducted...
A Benchmarking Framework for Multimodal User Interface Toolkits: Comparing Modality Coverage, Developer Workflow, and Experimental Support
Announce Type: new Abstract: Multimodal user interfaces increasingly combine speech, gesture, vision, gaze, touch, biosignals, and other sensor data. Recent toolkits from the past five years, such as Geno, Multisensor-Pipeline (MSP), ReactGenie, and EmoSync, aim to make it easier for developers to prototype such interfaces, while older work such as WAMI shows how early web-based multimodal systems were conceived. Yet the field still lacks a systematic and reusable way to compare what these...
CapSenseBand: Sustaining Cross-Disciplinary Creativity When Stitches Must Meet Signals
Announce Type: new Abstract: Wearable sensing systems increasingly depend on textiles that are both materially wearable and electronically functional. Their design requires collaboration between textile designers, who reason through stitches, yarn behavior, and machine constraints, and interaction designers, who reason through electrodes, signal paths, and insulation. However, these forms of expertise do not easily translate across disciplinary boundaries.
Computer-Aided Tagging on Wikimedia Commons: Designing for Human-AI Collaboration in Open Knowledge Work
arXiv:2605.30800v1 Announce Type: new Abstract: This study investigates Wikimedia Commons contributors' lived experiences with the Computer-Aided Tagging (CAT) tool, an AI-assisted image tagging system designed to improve Commons' discoverability, searchability, accessibility, and multilingual support. Using a qualitative analysis of 595 CAT-related community comments from 11 wiki pages and 16 in-depth interviews, we identify seven key issues that contributed to CAT's mixed reception and...