55 datasets

NCL Data2026 · dataset

<p dir="ltr">This Figshare item contains de-identified data and derived analysis materials supporting the manuscript “Understanding Practices, Device Ecologies, and Challenges in Video-Based Software Learning: An Empirical Study and Design Opportunities.”</p><p dir="ltr">The item includes three Excel workbooks:</p><ol><li><code>study1_survey_device_setup_paired_data.xlsx</code> contains de-identif

figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">This data is compiled from interviews with 10 participants aged 18-33 years old. The interviews investigated what the participants would like from future media that is intended to serve them. They were follow-ups to a four-day deployment in which the participants used a prototype that portrayed potential directions for online news media, including those that are slower and more reflec

figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">This data is compiled from anonymised transcripts of research workshops. The two workshops included 20 people (10 in each) aged 16-32 (inclusive). The first workshop focused on those aged 19 or over while the second focused on those aged 16-18.</p><p dir="ltr">Workshops involved participants completing activities in three tables, with each table having three activities centred around

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset · unknown

There have been major progressions in the field of immersive technology recently leading to the prospect of utilising virtual reality (VR), augmented reality (AR) and haptics as tools for productivity being realised by a wide range of industries. With the increased uptake in the adoption of immersive technologies it is essential that research be conducted to investigate how to effectively enhance

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">This study examines how <b>character imagery in digital environments</b> relates to users’ aesthetic perceptions, emotional responses, and intended engagement. Using questionnaire data from 300 adults aged 18–35, the study evaluates three dimensions: <b>perceived character aesthetics, emotional response, and stated engagement</b>. The findings indicate strong positive associations amo

figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p dir="ltr">This dataset contains synchronized EEG and camera-derived visual features collected for imagined driving action recognition.</p><p><br></p><p dir="ltr">The dataset includes recordings from 20 participants performing five imagined driving conditions: left_down, left_up, right_down, right_up, and static.</p><p><br></p><p dir="ltr">The released dataset contains 4,500 paired EEG-camera tr

figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p dir="ltr">This is a repository for the figures, data and media of<i> </i><i>Pinecone Afterlife: Exploring the Potential of Pinecones as Augmented Hygromorphic Natural Sensors</i>.This paper investigates the potential of pinecones as Augmented Hygromorphic Natural Sensors and interaction bio-triggers, particularly in response to changes in environmental humidity.</p><table><tr><td><p dir="ltr">©

figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p dir="ltr">Health and fitness apps are increasingly used among older adults, yet their efficacy is often undermined by mismatches between age-friendly design features and users’ motivational needs. This study integrated a systematic review (Study 1; <i>n</i>=92 articles) and an incentive-aligned Maximum-Difference experiment with direct anchoring (Study 2; <i>n</i>=913 older adults) to prioritiz

Teesside University Research Data Repository2026 · dataset

Title & Core Thesis: The AI Web: An Architectural Proposal for Agent-Native Infrastructure outlines an architectural research hypothesis proposing a permanent, separate, AI-native digital environment engineered specifically for autonomous AI agents. The Problem Addressed: Rather than placing increasingly capable agents directly inside the Human Web and relying solely on behavioral restrictions, pe

figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p dir="ltr"><b>AI Governance Deep Dives explores how advanced AI systems can be governed while they reason, act, and make consequential decisions. Episodes examine runtime governance, Reference and Higher-fidelity pathways, separation of duties, execution gates, software and hardware enforcement, cost-aware computation, and defense in depth. The series focuses on a central question: how can incre

figshare2026 · Astronomical catalogue

<p dir="ltr">This item contains the data for all seven experiments in our paper, "Perspective Cue Contamination: How Viewing Position in Virtual Reality Distorts Employee Judgment." The paper shows that viewing position changes how people read the same visualized data. Bars closer to the viewer are judged as larger, and this carries into gambling choices and trend forecasts.</p><p><br></p><p dir="

figshare2026 · Astronomical catalogue

<p dir="ltr">This dataset contains processed and derived data supporting an EEG study of intuitive semantic processing in 2D planar and 3D spatial interaction.</p>

figshare2026 · Astronomical catalogue

<p dir="ltr">A raw data of Fitt's Law experiment</p>

figshare2026 · Astronomical catalogue

<p dir="ltr">As AI chatbots become integrated into financial services, interaction failures can undermine users’ trust. This study examines whether visible human–AI collaboration cues support trust recovery through recovery expectation. Drawing on interdependence theory, we investigate coordination, team goal, and supervisory cues. A scenario-based online experiment with 398 participants examined

figshare2026 · Astronomical catalogue

<p dir="ltr">MCB Annual Report Data</p>

figshare2026 · Astronomical catalogue

Introduction<p>Cognitive models in interactive environments often rely on hard-coded symbolic task descriptions, pre-specified interface objects, and idealized action execution. This paper's primary contribution is EVisiTor, an AI-augmented extension of the VisiTor eyes-and-hands tool for ACT-R that automates two forms of work commonly performed by the modeler: perception of the live interface and

figshare2026 · Astronomical catalogue

Introduction<p>Extended reality (XR), including virtual reality (VR) and mixed reality (MR), is increasingly used for training complex skills. However, the comparative effects of different interaction modalities under controlled conditions remain unclear, particularly regarding learning, task performance, and user experience.</p>Methods<p>A controlled experiment compared PC, VR, and MR within a si

figshare2026 · Astronomical catalogue

<p dir="ltr">This dataset contains the experimental data and questionnaire responses collected in a controlled user study comparing two mobile Interactive Evolutionary Design (IED) systems: the baseline M-IEDS and the enhanced H-M-IEDS. The study investigates how interaction design can balance interaction simplicity with the richness of user preference expression in mobile human–computer collabora

figshare2026 · Astronomical catalogue

<p dir="ltr">Data and R code supporting the manuscript “When Generative AI Is Not Enough: Post-Generation Information Seeking and Public Technical Repair on Stack Overflow.” The archive contains de-identified analysis-ready event data, data dictionaries, sensitivity analyses, validation files, statistical outputs, and reproducible R scripts. Full Stack Overflow post text and usernames are not redi

figshare2026 · Astronomical catalogue

<p dir="ltr">This dataset contains the research data and supplemental materials supporting the manuscript "Noise-Robust Voice Command Recognition for Human-Robot Collaboration in Construction Environments." It includes (1) 1,000 synthetic Mandarin construction-oriented human-robot collaboration commands recorded as 16-kHz mono WAV files, together with speaker-profile-disjoint train, validation, an

figshare2026 · Astronomical catalogue

<p>Generative artificial intelligence (GenAI) is reshaping creative work, yet research focuses mainly on digital creation, with limited attention to embodied practices grounded in material interaction and physical making. Taking craft as an entry point, we examine GenAI in craft through a two-phase qualitative study with 28 practitioners across domains. We find a partial misalignment between GenAI

figshare2026 · Astronomical catalogue

<p dir="ltr">The study explores a human-centred approach to designing and communicating web browser security warnings. The research addresses an empirical gap in web browser security design and highlights the importance of involving users in design and designing for both technical and non-technical audiences. The key themes of this research are cognitive ergonomics, user experience and technology

figshare2026 · Astronomical catalogue

<p dir="ltr">This dataset accompanies the study “Voice versus Gesture Interaction in Mobile Augmented Reality Heritage Interpretation: A Multimethod Quantitative Field Study of Fixation Duration and Perceived Cultural Experience.” The study examined how voice and gesture interaction in mobile AR heritage interpretation relate to visual attention and cultural-experience outcomes. Data were collecte

figshare2026 · Astronomical catalogue

<p dir="ltr">This dataset contains 660 Arabic-language question prompts organized into six editorial categories for Instagram Story interactions: yes-or-no preferences, would-you-rather choices, questions for friends, questions for followers, about-me prompts, and short binary choices. Each record includes the Arabic prompt, Arabic and English category labels, response format, intended audience, o

Teesside University Research Data Repository2026 · dataset

This dataset contains the experimental data collected during a controlled between-subject study comparing the standard Case Management Model and Notation (CMMN) with its notational variant, CMMN+. The study involved 55 undergraduate participants randomly assigned to one of two groups: a control group (n=28) working with standard CMMN models, and an experimental group (n=27) working with CMMN+ mode