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cs.HC updates on arXiv.org

Quantitative Movement Testing: Measuring Patient Movements from a Single Smartphone Video Vision-Language Models Suppress Female Representations Under Ambiguous Input The New Social Image: How AI Competency and AI Proactivity Influence Self- and Peer-Perceptions in the Workplace TUX: Measuring Human--AI Tacit Understanding LLUMI: Improving LLM Writing Assistance for Mental Health Support with Online Community Feedback VideoFDB: Evaluating Full-Duplex Vision-Speech Capabilities in Conversational Agents Label Over Logic? How Source Cues Bias Human Fallacy Judgments More Than LLMs Inform, Coach, Relate, Listen: Auditing LLM Caregiving Support Roles How Coding Agents Fail Their Users: A Large-Scale Analysis of Developer-Agent Misalignment in 20,574 Real-World Sessions MetaRanker: Human-in-the-loop Active Ranking for Metalens Image Quality Analyzing Persona Effects in Generated Explanations from Multimodal LLM Agents in Urban Perception First head-to-head comparison of agentic AI applied to the analysis of simulated data of the Einstein Telescope Granuscore: A Reference-Free Measure of Granularity for Text Analysis and Question Answering The Timing Dependencies of Trust: Speed, Accuracy, and cBCI Neuro-Decoupling in Human-AI Teams Bayesian Distributional Models of Executive Functioning Visual Matters: Connecting Aesthetic Appeal and Production Quality of Photos, Infographics and Data Visualizations to Credibility of Social Media Posts Data-driven Head Motion Generation through Natural Gaze-Head Coordination Agreement Metrics for LLM-as-Judge Evaluation: What to Report and Why Perceptually Lossless Tactile Texture Synthesis with Compact Spectral Envelope Models MambaGaze: Bidirectional Mamba with Explicit Missing Data Modeling for Cognitive Load Assessment from Eye-Gaze Tracking Data CogAdapt: Transferring Clinical ECG Foundation Models to Wearable Cognitive Load Assessment via Lead Adaptation Augmented Analytics and Decision Quality: The Role of Trust among Non-Technical BI Users Faster Completion, Less Learning: Generative AI Reduced Study Time on Math Problems and the Knowledge They Build PaintCopilot: Modeling Painting as Autonomous Artistic Continuation Personality Engineering with AI Agents: A New Methodology for Negotiation Research PULSE: Agentic Investigation with Passive Sensing for Proactive Intervention in Cancer Survivorship Access Timing as Scaffolding: A Reinforcement Learning Approach to GenAI in Education Conversations in Space: Structuring Non-Linear LLM Interactions on a Canvas MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis nASR: An End-to-End Trainable Neural Layer for Channel-Level EEG Artifact Subspace Reconstruction in Real-Time BCI
Cross-Section Evidence-based Timelines for Software Proce...
Pariya Kashfi, Robert Feldt, Agneta Nilsson, Richard Berntsson S · 2016-05-13 · via cs.HC updates on arXiv.org

Although integrating UX practices into software development processes is a type of Software Process Improvement (SPI) activity, this has not yet been taken into account in UX publications. In this study, we approach UX integration in a software development company in Sweden from a SPI perspective. Following the guidelines in SPI literature, we performed a retrospective meeting at the company to reflect on their decade of SPI activities for enhancing UX integration. The aim of the meeting was to reflect on, learn from, and coordinate various activities spanned across various organizational units and projects. We therefore supported the meeting by a pre- generated timeline of the main activities in the organization that is different from common project retrospective meetings in SPI. This approach is a refinement of a similar approach that is used in Agile projects, and is shown to improve effectiveness of, and decrease memory bias. We hypothesized that this method can be useful in the context of UX integration, and in this broader scope. To evaluate the method we gathered practitioners' view through a questionnaire. The findings showed our hypothesis to be plausible. Here, we present that UX integration research and practice can benefit from the SPI body of knowledge; We also show that such cross-section evidence-based timeline retrospective meetings are useful for UX integration, and in a larger scale than one project, especially for identifying and reflecting on 'organizational issues'. This approach also provides a cross- section longitudinal overview of the SPI activities that cannot easily be gained in other common SPI learning approaches.