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interview record- ings were manually transcribed by the first author and translated into English, and identifiable information was anonymized. The analysis of the interview transcripts was guided by Braun and Clarke's [3] six-phase framework for reflexive thematic analysis. Reflexive thematic analysis allows researchers to consider the im- plicit and underlying meanings in participants' reflections while recognizing the inherent subjective lens, which aligns with phe- nomenological approaches. The coding process employed an itera- tive approach, involving multiple rounds of collaborative coding"},{"citing_arxiv_id":"2605.12934","ref_index":6,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"An Activity-Theoretical Approach to Teacher Professional Development in Pedagogical AI Agent Design","primary_cat":"cs.CY","submitted_at":"2026-05-13T03:12:45+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"Teachers disengage from AI agent creation after training due to systemic contradictions that thwart psychological needs rather than skill gaps, and a CHAT-SDT redesign can resolve this by boosting both capacity and willingness.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.13906","ref_index":3,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Modeling AI-TPACK in Practice Insights from Teachers Multi-Agent Workflow Design","primary_cat":"cs.CY","submitted_at":"2026-05-13T02:55:03+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"Cluster analysis of teacher multi-agent workflow designs reveals three archetypes where AI-TPACK emerges dynamically from systems thinking, pedagogical beliefs, and self-efficacy.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.12610","ref_index":4,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Fine-Tuning Models for Automated Code Review Feedback","primary_cat":"cs.SE","submitted_at":"2026-05-12T18:02:04+00:00","verdict":"CONDITIONAL","verdict_confidence":"MODERATE","novelty_score":5.0,"formal_verification":"none","one_line_summary":"PEFT fine-tuning of Code Llama yields feedback on student Java bugs that students judge equal to ChatGPT and better than prompt engineering, using BLEU/ROUGE/BERTScore plus human ratings.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.11344","ref_index":21,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Making Abstraction Concrete: A Design Space and Interaction Model of Abstraction in Interactive Systems","primary_cat":"cs.HC","submitted_at":"2026-05-11T23:54:37+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"A survey of 457 papers yields a six-dimensional design space for abstraction in interactive systems that reframes gulfs of execution and evaluation while articulating cognitive and design processes for bridging abstraction gaps.","context_count":1,"top_context_role":"background","top_context_polarity":"background","context_text":"The purpose of abstraction, as pointed out by Dijkstra, is \"not to be vague, but to create a new semantic level in which one can be absolutely pre- cise\" in depicting a problem or phenomenon [44]. As a powerful human cognitive ability that serves as the foundation of intelli- gence, abstraction has been widely explored in different research fields [21, 46, 57, 111, 115]. For example, abstraction has been re- garded as a core skill for programming and computational thinking [44, 169]. Research in linguistics, visual and spatial cognition has found that people fluidly shift the levels of abstraction to commu- nicate a concept via natural language expressions [57] as well as visual or gestural depictions [157]."},{"citing_arxiv_id":"2605.10898","ref_index":15,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"How Creatives Approach GenAI Image Generation: Tensions Between Structured Guidance, Self-Experimentation, and Creative Autonomy","primary_cat":"cs.HC","submitted_at":"2026-05-11T17:40:36+00:00","verdict":"ACCEPT","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"Creatives prefer self-experimentation over structured guidance for GenAI image tools to preserve creative freedom, even when guidance aids AI literacy.","context_count":1,"top_context_role":"background","top_context_polarity":"background","context_text":"how training data, randomness, and interface parameters jointly shape outputs [72, 74], trial and error can also foster over-simplified or inaccurate mental models of system behavior [43]. In music gen- eration, prior work has supported non-ML-expert users by mapping latent dimensions to musical attributes and providing real-time feedback and visualizations [15]. Recent work in image generation embeds explainability into node-based diffusion workflows, sup- porting tacit understanding through component-level manipulation [2]. At the same time, guidance introduces its own design tension. Prior work on computational feedback in visual design tools shows that actionable scaffolding can help novices apply design princi-"},{"citing_arxiv_id":"2605.09803","ref_index":24,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Insight: Enhancing Mobile Accessibility for Blind and Visually Impaired Users with LLMs","primary_cat":"cs.HC","submitted_at":"2026-05-10T22:51:44+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"LLM-based conversational interface for Android reduces task time and mental effort for blind users versus traditional gesture-based screen readers like TalkBack.","context_count":1,"top_context_role":"background","top_context_polarity":"background","context_text":"1145/3636534.3649379 [22] Yue Huang, Qihui Zhang, Philip S. Yu, and Lichao Sun. 2023.TrustGPT: A Benchmark for Trustworthy and Responsible Large Language Models. arXiv:2306.11507 [cs.CL]. [23] Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology.Qualitative Research in Psychology,3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa [24] Greenwald, A. G. (1976). Within-subjects designs: To use or not to use?Psycho- logical Bulletin,83(2), 314. [25] Laubheimer, P. (2025, March 3). Beyond the NPS: Measuring Perceived Usability with the SUS, NASA-TLX, and the Single Ease Question After Tasks and Usabil- ity Tests.Nielsen Norman Group. https://www.nngroup.com/articles/measuring- perceived-usability/"},{"citing_arxiv_id":"2604.28053","ref_index":22,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"To Build or Not to Build? Factors that Lead to Non-Development or Abandonment of AI Systems","primary_cat":"cs.CY","submitted_at":"2026-04-30T16:00:52+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"A scoping review and empirical analysis produce a six-category taxonomy of factors driving AI non-development and abandonment, showing that practical issues like resource limits and organizational dynamics often outweigh ethical concerns in real decisions.","context_count":1,"top_context_role":"method","top_context_polarity":"use_method","context_text":"citations included within these 48 initial sources, gathering 32 additional relevant sources. Since the goal of this scoping review was to identify broad, diverse factors contributing to AI abandonment, we did not systematically record information on works screened out as not relevant. From the collected works that referenced formal and informal factors influencing AI development decisions, inductive thematic analysis [22] was performed by the lead researcher to identify factors that could contribute to AI development challenges and abandonment. These factors were grouped into higher-order categories based on shared themes, which were iterated and discussed with the broader research team until consensus was reached. After establishing the six broad categories of factors contributing to abandonment, we performed category-"},{"citing_arxiv_id":"2604.27997","ref_index":13,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"When and How AI Should Assist Brainstorming for AI Impact Assessment","primary_cat":"cs.HC","submitted_at":"2026-04-30T15:23:25+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"AI improves brainstorming quality for general-purpose impact assessment but not specialized applications when it offers hints early and structures ideas later, based on workshop evaluations with 54 participants.","context_count":1,"top_context_role":"method","top_context_polarity":"use_method","context_text":"mitigations when developing an AI use case, what features would be most important based on your experience today? (2) What role would you want an AI to have in your brainstorming team, and when would you use it? Analysis.We audio-recorded and transcribed interactions during in-person sessions and conducted a two-coder inductive thematic analysis of the discussions and responses to identify design requirements [13]. This involved two-coders identifying themes as they emerged, taking notes during the workshops, and creating a set of coded themes, then revising the themes based on the collected post-study qualitative written questions. Annotators met across three rounds to compare and finalise themes. We used this qualitative approach throughout the formative/codesign workshops."},{"citing_arxiv_id":"2604.24519","ref_index":45,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Why AI Harms Can't Be Fixed One Identity at a Time: What 5300 Incident Reports Reveal About Intersectionality","primary_cat":"cs.CY","submitted_at":"2026-04-27T14:20:18+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"Large-scale review of 5300 AI incident reports shows harms are amplified up to three times at specific intersections including adolescent girls, lower-class people of color, and upper-class political elites.","context_count":1,"top_context_role":"background","top_context_polarity":"background","context_text":"theory [48, 53, 55, 66] to examine how AI systems distribute harms unevenly across marginalized and privileged groups and reinforce forms of social power such as racism, sexism, and classism [80, 86]. In practice, however, this work has largely focused on intersections of only two identity categories [38], most often race and gender [40, 80, 81]. For example, Buolamwini and Gebru[45] showed that commercial facial analysis systems misclassified darker-skinned women at substantially higher rates than lighter-skinned men. Similarly, audits of CV screening systems found that LLMs favored CVs with white-sounding names 85% of the time, while never favoring Black male names over white male names [88]. These findings illustrate how harms at specific intersections such as"},{"citing_arxiv_id":"2604.22417","ref_index":3,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Trust as a Situated User State in Social LLM-Based Chatbots: A Longitudinal Study of Snapchat's My AI","primary_cat":"cs.CY","submitted_at":"2026-04-24T10:22:41+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"Trust in social LLM chatbots is a dynamic, situated user state that evolves through ongoing interactions rather than forming as a stable one-time judgment.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2604.22043","ref_index":19,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Audio Video Verbal Analysis (AVVA) for Capturing Classroom Dialogues","primary_cat":"physics.soc-ph","submitted_at":"2026-04-23T19:56:13+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"AVVA is a new framework adapting verbal analysis for classroom discourse with triangulation across ten steps and a four-criterion validation scheme for temporal stability, applied to 23 hours of recordings.","context_count":1,"top_context_role":"method","top_context_polarity":"use_method","context_text":"clustering using graph shared neighbors and entropy.Pattern Recognition,137, 109341. Retrieved fromhttp://dx.doi.org/10.1016/j.patcog.2023.109341 Mart' ın-Hoz, L., Yanes-Luis, S., Huerta Cejudo, J., Guti' errez-Reina, D., & Franco'Alvarez, E. (2025, September). A comparative study of bert-based models for teacher classification in physical education.Electronics,14(19), 3849. Retrieved fromhttp://dx.doi.org/ 10.3390/electronics14193849 Maxwell, S. E., Delaney, H. D., & Kelley, K. (2017).Designing experiments and analyzing data: A model comparison perspective(3rd ed.). New York, NY: Routledge. Retrieved fromhttps://doi.org/10.4324/9781315642956 Mayfield, E., & Ros' e, C. P. (2024). Hybrid approach to automated essay scoring: Integrating"},{"citing_arxiv_id":"2604.17615","ref_index":5,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"WhatIf: Interactive Exploration of LLM-Powered Social Simulations for Policy Reasoning","primary_cat":"cs.HC","submitted_at":"2026-04-19T21:00:15+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"WhatIf provides an interactive platform for real-time exploration of LLM-driven social simulations, enabling policymakers to iteratively test plans, reflect on assumptions, and uncover vulnerabilities in emergency preparedness scenarios.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2604.15744","ref_index":38,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Language, Place, and Social Media: Geographic Dialect Alignment in New Zealand","primary_cat":"cs.CL","submitted_at":"2026-04-17T06:37:25+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"New Zealand Reddit users link language to place and form contiguous speech communities with complex geographic alignment; Word2Vec embeddings reveal semantic variations and shifts in NZ English on a 4.26 billion word corpus.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.16295","ref_index":6,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"ANVIL: Analogies and Videos for Lecturers","primary_cat":"cs.CY","submitted_at":"2026-04-15T12:12:14+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"ANVIL automates analogy-based instructional animations for computer science by chaining LLM analogy generation, screenplay structuring, manim code production with repair, and mixed human-automated evaluations.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.16284","ref_index":4,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Measuring Changes in Instructor Class Design and Student Learning After the Release of Large Language Models (LLMs)","primary_cat":"cs.CY","submitted_at":"2026-04-12T14:55:04+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":4.0,"formal_verification":"none","one_line_summary":"A pilot mixed-methods study at one university uses surveys and pre/post-LLM grade data to document patterns in faculty course design and student learning outcomes after generative AI release.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2604.10575","ref_index":7,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"NexusAI: Enabling Design Space Exploration of Ideas through Cognitive Abstraction and Functional Decomposition","primary_cat":"cs.HC","submitted_at":"2026-04-12T10:41:44+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"NexusAI decomposes LLM inspirations into navigable functional fragments and abstractions to improve creative design space exploration, with a user study showing reduced cognitive overhead.","context_count":1,"top_context_role":"method","top_context_polarity":"use_method","context_text":"was selected due to the within-subject design and the non-normal distribution of our ordinal data. For each test, we report the level of significance (𝑝) and the effect size (𝑟) to characterize the magnitude of the observed effects.For qualitative data, including post-study interview transcripts and think-aloud recordings, we conducted thematic analysis [7]. Two researchers independently coded the data according to the design principles, resolving discrepancies through iterative discussion until consensus was reached. For behavioral log analysis, we reconstructed exploration graphs to quantitatively characterize user trajectories. These were analyzed across two dimensions: For RQ1, we computed average root-to-leaf"},{"citing_arxiv_id":"2604.07732","ref_index":9,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Twitch Third-Party Developers' Support Seeking and Provision Practices on Discord","primary_cat":"cs.HC","submitted_at":"2026-04-09T02:29:15+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"Twitch third-party developers' support practices on Discord create platform labor via dependence on Twitch, cross-platform switching, and the need for bridging roles between informal community help and formal platform channels.","context_count":1,"top_context_role":"method","top_context_polarity":"use_method","context_text":"we organize the comments chronologically to create a sequence of conversations that provide context for our thematic analysis. Though some short data entries have been removed, the sequence of conversations allows us to grasp the main discussion timelines, topics, and structures, which will aid our support-seeking and provision analysis. To analyze these comments, we employed thematic analysis [9] with both inductive and deductive coding methods [22]. First, all researchers went through the condensed data corpus to familiarize themselves with the TPDs' support-seeking and provision practices. Next, two researchers indepen- dently coded a sample of 200 randomly selected comments. After a calibration meeting, they refine their coding to ensure consistency, ultimately developing an initial codebook with 52 codes, plus"},{"citing_arxiv_id":"2604.07691","ref_index":9,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Designing Annotations in Visualization: Considerations from Visualization Practitioners and Educators","primary_cat":"cs.HC","submitted_at":"2026-04-09T01:26:27+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"Interviews with practitioners and educators yield a systematic account of annotation design considerations, trade-offs, and contextual judgments in visualization practice.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2604.05448","ref_index":2,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Foreign Domestic Workers' Perspectives on an LLM-Based Emotional Support tool for Caregiving Burden","primary_cat":"cs.HC","submitted_at":"2026-04-07T05:33:17+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"Exploratory interviews reveal FDWs find LLM chatbots psychologically safe, linguistically flexible, and useful for reassurance and companionship.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2604.05249","ref_index":8,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Understanding Clinician Experiences with Game-Based Interventions for Autistic Children to Inform a Future Game Platform Focused on Improving Motor Skills","primary_cat":"cs.HC","submitted_at":"2026-04-06T23:17:19+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":4.0,"formal_verification":"none","one_line_summary":"Therapist perspectives on game-based motor interventions for autistic children reveal rigidity issues, leading to a proposed modular customizable game platform.","context_count":1,"top_context_role":"method","top_context_polarity":"use_method","context_text":"ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '24). Association for Computing Machinery, New York, NY, USA, 1-17. doi:10.1145/3663548.3675642 [7] Virginia Braun and Victoria Clarke and. 2006. Using thematic analysis in psychology.Qualitative Research in Psychology3, 2 (2006), 77-101. arXiv:https://www.tandfonline.com/doi/pdf/10.1191/1478088706qp063oa doi:10.1191/1478088706qp063oa [8] Virginia Braun, Victoria Clarke, Nikki Hayfield, and Gareth Terry. 2019. Thematic analysis.Handbook of Research Methods in Health Social Sciences (2019), 843-860. [9] Anita C. Bundy, Shelly Lane, Elizabeth A. Murray, and Anne G. Fisher. 2002.Sensory integration: theory and practice(2nd ed ed.). F.A. Davis, Philadelphia. [10] Susanne Bødker and Morten Kyng."},{"citing_arxiv_id":"2604.04671","ref_index":4,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Design Guidelines for Game-Based Refresher Training of Community Health Workers in Low-Resource Contexts","primary_cat":"cs.HC","submitted_at":"2026-04-06T13:30:25+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"A four-year mixed-methods study of game-based systems for Indian CHWs yields eight design guidelines for sustained engagement, learning transfer, and contextual appropriateness in low-resource health training.","context_count":1,"top_context_role":"method","top_context_polarity":"use_method","context_text":"RQ:What design guidelines support sustained engagement, learning transfer, and real-world applicability in game-based re- fresher training systems for Community Health Workers in low- resource healthcare contexts? To answer this question, we conducted a mixed-methods synthe- sis of qualitative and quantitative data collected across multiple de- sign cycles with CHWs in India. Through thematic analysis [4] and cross-study comparison, we derived a set of empirically grounded arXiv:2604.04671v1 [cs.HC] 6 Apr 2026 IH '26, July 05-08, 2026, Porto, Portugal Majhi et al. design guidelines that articulate how game-based training systems can be aligned with situated work practices, professional identity, and ethical considerations. Our findings show that effective game-based training for CHWs"},{"citing_arxiv_id":"2603.07956","ref_index":14,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"From Daily Song to Daily Self: Supporting Reflective Songwriting of Deaf and Hard-of-Hearing Individuals through Generative Music AI","primary_cat":"cs.HC","submitted_at":"2026-03-09T04:44:54+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"SoulNote enables multi-session GenAI songwriting for DHH users, producing measurable gains in self-insight, emotion regulation, and self-care attitudes.","context_count":1,"top_context_role":"background","top_context_polarity":"background","context_text":"required (\"How much effort did you put into today's music creation with the CA?\"). 5.3 Data Analysis We conducted a qualitative analysis of conversational data, weekly reports, and interview transcripts, focusing on exploratory interpre- tation and intentionally avoiding strong claims about the system's effects, given the small sample size and lack of comparison condi- tions [14, 64]. First, the first author and a co-author with expertise in music therapy conducted an initial thematic analysis of partici- pants' conversations with the CA. They identified four categories used to label the data: songwriting topic, creative intent, lyric strat- egy, and musical style. Next, the weekly journals and interview transcripts were reviewed to develop an initial codebook."},{"citing_arxiv_id":"2601.15671","ref_index":6,"ref_count":2,"confidence":0.88,"is_internal_anchor":false,"paper_title":"StreetDesignAI: Broadening Designer Perspectives Through Multi-Persona Evaluation of Cycling Infrastructure","primary_cat":"cs.HC","submitted_at":"2026-01-22T05:53:05+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"StreetDesignAI provides structured multi-persona feedback on cycling designs and a user study shows it broadens designers' grasp of diverse cyclist perspectives and improves design decision confidence.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2601.13904","ref_index":5,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"PREFAB: PREFerence-based Affective Modeling for Low-Budget Self-Annotation","primary_cat":"cs.AI","submitted_at":"2026-01-20T12:30:13+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"PREFAB applies preference learning grounded in the peak-end rule to let users annotate only key affective change segments while interpolating the rest, reducing workload and improving confidence in a 25-participant study.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2509.18297","ref_index":12,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Not a Collaborator or a Supervisor, but an Assistant: Striking the Balance Between Efficiency and Ownership in AI-incorporated Qualitative Data Analysis","primary_cat":"cs.HC","submitted_at":"2025-09-22T18:25:45+00:00","verdict":"CONDITIONAL","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"Interviews with 16 qualitative researchers identify efficiency, ownership, and trust as key factors shaping preferences for AI as a supportive assistant rather than a full collaborator or supervisor in qualitative data analysis.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2509.15434","ref_index":9,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Beyond Community Notes: A Framework for Understanding and Building Crowdsourced Context Systems for Social Media","primary_cat":"cs.HC","submitted_at":"2025-09-18T21:17:18+00:00","verdict":"CONDITIONAL","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"The authors conduct a systematic literature review and real-world analysis to define Crowdsourced Context Systems and map a six-aspect design space with normative implications.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2509.10652","ref_index":6,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Vibe Coding in Product Teams: Reconfiguring AI-Assisted Workflows, Prototyping, and Collaboration","primary_cat":"cs.HC","submitted_at":"2025-09-12T19:28:38+00:00","verdict":"ACCEPT","verdict_confidence":"MODERATE","novelty_score":5.0,"formal_verification":"none","one_line_summary":"Interviews reveal a four-stage vibe coding workflow that accelerates prototyping while introducing tensions between quick efficiency and reflective design intention, plus asymmetries in trust and ownership.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2509.01231","ref_index":17,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Unpacking \"Personal\" Health Informatics for Proactive Collective Care","primary_cat":"cs.HC","submitted_at":"2025-09-01T08:19:06+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"Mixed-methods research shows collective care practices are constrained by personal, relational, technological, and structural factors in existing PHI systems, leading to the CC-Proact operational map with three design levers and ten recommendations for collective health informatics.","context_count":1,"top_context_role":"method","top_context_polarity":"use_method","context_text":"descriptive statistics, which involved calculating frequencies and percentages to identify patterns in the use and adoption of wearable health technologies for PHI, as well as participants' trust levels and perceived usefulness of these devices. To explore associations between demographic characteristics (such as age and gender) and usage patterns, we conducted cross-tabulations to identify significant relationships. We followed Braun and Clarke's [17] thematic analysis approach to comprehensively examine the interview data, open-ended survey responses, field notes, and the co-design session data for the qualitative analysis. The analysis proceeded in several stages. Initially, the interview transcripts and co-design field notes were reviewed multiple times to immerse the researchers in the data and identify recurring patterns."},{"citing_arxiv_id":"2411.12142","ref_index":6,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"A Computational Method for Measuring \"Open Codes\" in Qualitative Analysis","primary_cat":"cs.CL","submitted_at":"2024-11-19T00:44:56+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"A method merges codebooks via LLM and evaluates human and AI inductive coding with four new metrics on an online conversation dataset.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2408.09030","ref_index":3,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Effects of Collaboration on the Performance of Interactive Theme Discovery Systems","primary_cat":"cs.CL","submitted_at":"2024-08-16T21:57:23+00:00","verdict":"UNVERDICTED","verdict_confidence":"MODERATE","novelty_score":4.0,"formal_verification":"none","one_line_summary":"The study introduces a framework and reports differences in consistency, cohesiveness, and correctness of themes produced under synchronous versus asynchronous collaboration across three interactive NLP tools.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null}],"limit":100,"offset":0}}