Tootfinder

Poverty and Perceptions of Electoral Integrity in the U.S
Douglas Cumming, Sofia Johan, Ikenna Uzuegbunam
https://arxiv.org/abs/2509.15343 https://arxiv.or…

Poverty and Perceptions of Electoral Integrity in the U.S
We propose two opposing forces that impact the relation between electoral integrity and poverty. On the one hand, it is more costly to provide electoral integrity in states where there is more poverty due to transaction costs and opportunity costs. On the other hand, extreme levels of poverty attract media scrutiny and greater external monitoring of electoral integrity, giving rise to more demand for electoral integrity. Taken together, we expect electoral integrity to be a U-shaped function of…

Cyclability in London: Associations between the quality of the local cycling environment, cycling participation, and perceptions of the cycling environment
https://www.sciencedirect.com/science/article/pii/S0966692325004004

Cyclability in London: Associations between the quality of the local cycling environment, cycling participation, and perceptions of the cycling environment
Increasingly, researchers are exploring how multiple factors affect the quality of the cycling environment (here “cyclability”), relating this to perc…

Model-Assisted and Human-Guided: Perceptions and Practices of Software Professionals Using LLMs for Coding
Italo Santos, Cleyton Magalhaes, Ronnie de Souza Santos
https://arxiv.org/abs/2510.09058

Model-Assisted and Human-Guided: Perceptions and Practices of Software Professionals Using LLMs for Coding
Large Language Models have quickly become a central component of modern software development workflows, and software practitioners are increasingly integrating LLMs into various stages of the software development lifecycle. Despite the growing presence of LLMs, there is still a limited understanding of how these tools are actually used in practice and how professionals perceive their benefits and limitations. This paper presents preliminary findings from a global survey of 131 software practiti…

This is an interesting study in how local conditions skew your perceptions, I'm actually surprised how *low* the numbers are, but I see in Denmark EVs are much higher than the rest of the EU, who also clearly have some catching up to do...
https://ec.social-network.europa.eu/@EUCommission/115354274303487490
EUCommission@ec.social-network.europa.eu - 👋 Watt’s up, Europe?
 
The numbers of electric vehicles sold in Europe in 2024 are in:
 
⚡ 1.45 million new battery-only EVs registered
📈 32% growth in the total electric fleet
🚗 Nearly 6 million e-vehicles on the road
🔋 13.6% of all new car registrations are electric
 
Europe is accelerating full throttle to a clean future.  
 
Read more: https://link.europa.eu/cNKjkh

Exploring Teachers' Perceptions of ChatGPT Through Prompt Engineering
Dimitrios Gousopoulos
https://arxiv.org/abs/2510.08634 https://arxiv.org/pdf/2510…

Exploring Teachers' Perceptions of ChatGPT Through Prompt Engineering
Artificial Intelligence and especially Large Language Models (LLM), such as ChatGPT has revolutionized the way educators work. The results we get from LLMs depend on how we ask them to help us. The process and the technique behind an effective input is called prompt engineering. The aim of this study is to investigate whether science educators in secondary education improve their attitude toward ChatGPT as a learning assistant after appropriate training in prompt engineering. The results of the…

Trust in Transparency: How Explainable AI Shapes User Perceptions
Allen Daniel Sunny
https://arxiv.org/abs/2510.04968 https://arxiv.org/pdf/2510.04968

Trust in Transparency: How Explainable AI Shapes User Perceptions
This study explores the integration of contextual explanations into AI-powered loan decision systems to enhance trust and usability. While traditional AI systems rely heavily on algorithmic transparency and technical accuracy, they often fail to account for broader social and economic contexts. Through a qualitative study, I investigated user interactions with AI explanations and identified key gaps, in- cluding the inability of current systems to provide context. My findings underscore the lim…

We had our QUASAR #research group meeting at the @… today. We had great discussions around r package development on nurse staffing, an international study on triage in the ED, surveying pre-implementation perceptions on medical indicators in

Crosslisted article(s) found for cs.CY. https://arxiv.org/list/cs.CY/new
[1/1]:
- Exploring Teachers' Perceptions of ChatGPT Through Prompt Engineering
Dimitrios Gousopoulos

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/8]:
- Ads that Talk Back: Implications and Perceptions of Injecting Personalized Advertising into LLM C...
Brian Jay Tang, Kaiwen Sun, Noah T. Curran, Florian Schaub, Kang G. Shin

ChatGPT in Introductory Programming: Counterbalanced Evaluation of Code Quality, Conceptual Learning, and Student Perceptions
Shiza Andleeb, Brandon Kantorski, Jeffrey C. Carver
https://arxiv.org/abs/2510.00946

ChatGPT in Introductory Programming: Counterbalanced Evaluation of Code Quality, Conceptual Learning, and Student Perceptions
Background: Large language models (LLMs) such as ChatGPT are increasingly used in introductory programming courses to provide real-time code generation, debugging, and explanations. While these tools can boost productivity and code quality, concerns remain about over-reliance and potential impacts on conceptual learning. Objective: To investigate how ChatGPT access affects code quality, conceptual understanding, task completion times, and student perceptions in a CS1 course. Methods: We conduct…

🤼‍♂️ Japan's sumo association turns 100, but the sport's rituals have a much older role shaping ideas about the country
https://theconversation.com/japans-sumo-association-turns-100-but…

Japan’s sumo association turns 100 – but the sport’s rituals have a much older role shaping ideas about the country
As Japan’s national sport, sumo has shaped perceptions of its culture since the mid-1800s.

A Latent Variable Framework for Multiple Imputation with Non-ignorable Missingness: Analyzing Perceptions of Social Justice in Europe
Siliang Zhang, Yunxiao Chen, Jouni Kuha
https://arxiv.org/abs/2509.21225

A Latent Variable Framework for Multiple Imputation with Non-ignorable Missingness: Analyzing Perceptions of Social Justice in Europe
This paper proposes a general multiple imputation approach for analyzing large-scale data with missing values. An imputation model is derived from a joint distribution induced by a latent variable model, which can flexibly capture associations among variables of mixed types. The model also allows for missingness which depends on the latent variables and is thus non-ignorable with respect to the observed data. We develop a frequentist multiple imputation method for this framework and provide asy…

From keywords to semantics: Perceptions of large language models in data discovery
Maura E Halstead, Mark A. Green, Caroline Jay, Richard Kingston, David Topping, Alexander Singleton
https://arxiv.org/abs/2510.01473

From keywords to semantics: Perceptions of large language models in data discovery
Current approaches to data discovery match keywords between metadata and queries. This matching requires researchers to know the exact wording that other researchers previously used, creating a challenging process that could lead to missing relevant data. Large Language Models (LLMs) could enhance data discovery by removing this requirement and allowing researchers to ask questions with natural language. However, we do not currently know if researchers would accept LLMs for data discovery. Usin…

The land use-climate change-biodiversity nexus in European islands stakeholders
Aristides Moustakas, Irene Christoforidi, George Zittis, Nazli Demirel, Mauro Fois, Savvas Zotos, Eirini Gallou, Valentini Stamatiadou, Elli Tzirkalli, Christos Zoumides, Kristina Ko\v{s}i\'c, Aikaterini Christopoulou, Aleksandra Dragin, Damian {\L}owicki, Artur Gil, Bruna Almeida, Panos Chrysos, Mario V. Balzan, Mark D. C. Mansoldo, Rannveig \'Olafsd\'ottir, Cigdem Kaptan Ayhan, Lutfi Atay, Mir…

The land use-climate change-biodiversity nexus in European islands stakeholders
To promote climate adaptation and mitigation, it is crucial to understand stakeholder perspectives and knowledge gaps on land use and climate changes. Stakeholders across 21 European islands were consulted on climate and land use change issues affecting ecosystem services. Climate change perceptions included temperature, precipitation, humidity, extremes, and wind. Land use change perceptions included deforestation, coastal degradation, habitat protection, renewable energy facilities, wetlands,…

The influence of Political trust on the acceptance of Violence
Mario Villagran
https://arxiv.org/abs/2510.04352 https://arxiv.org/pdf/2510.04352

The influence of Political trust on the acceptance of Violence
The choice of protest tactics in a social movement has often been analyzed based on the demands, participants, and internal characteristics of the movement. However, recent evidence highlights the context or setting in which the demonstration takes place as another key element in the process; Using structural equation modeling, studies have shown a link between high perceptions of injustice in the treatment received by authorities and a greater acceptance of non-normative and/or violent methods…

Perceptions of AI Across Sectors: A Comparative Review of Public Attitudes
Filip Bialy, Mark Elliot, Robert Meckin
https://arxiv.org/abs/2509.18233 https://

Perceptions of AI Across Sectors: A Comparative Review of Public Attitudes
This paper offers a domain-mediated comparative review of 251 studies on public attitudes toward AI, published between 2011 and 2025. Drawing on a systematic literature review, we analyse how different factors including perceived benefits and concerns (or risks) shape public acceptance of - or resistance to - artificial intelligence across domains and use-cases, including healthcare, education, security, public administration, generative AI, and autonomous vehicles. The analysis highlights recu…

Assessing Roundabout Safety Perceptions under Heterogeneous Traffic: Socio-Demographic and Geometric Influences in Indian Urban Contexts
Abhijnan Maji, Indrajit Ghosh
https://arxiv.org/abs/2509.24397

Assessing Roundabout Safety Perceptions under Heterogeneous Traffic: Socio-Demographic and Geometric Influences in Indian Urban Contexts
Evaluation of the safety perceptions of roundabout users is crucial for improving road safety in mixed-traffic environments. The crash- and conflict-based analyses do not incorporate the socio-demographic characteristics of the roundabout users, which can only be captured through questionnaire surveys on a larger scale. This research evaluated the relationship of roundabout safety perception with demographic factors, driving characteristics, and varying roundabout geometries using multiple corr…

Investigation of perception inconsistency in speaker embedding for asynchronous voice anonymization
Rui Wang, Liping Chen, Kong Aik Lee, Zhengpeng Zha, Zhenhua Ling
https://arxiv.org/abs/2510.05718

Investigation of perception inconsistency in speaker embedding for asynchronous voice anonymization
Given the speech generation framework that represents the speaker attribute with an embedding vector, asynchronous voice anonymization can be achieved by modifying the speaker embedding derived from the original speech. However, the inconsistency between machine and human perceptions of the speaker attribute within the speaker embedding remains unexplored, limiting its performance in asynchronous voice anonymization. To this end, this study investigates this inconsistency via modifications to s…

SENSE-7: Taxonomy and Dataset for Measuring User Perceptions of Empathy in Sustained Human-AI Conversations
Jina Suh, Lindy Le, Erfan Shayegani, Gonzalo Ramos, Judith Amores, Desmond C. Ong, Mary Czerwinski, Javier Hernandez
https://arxiv.org/abs/2509.16437

SENSE-7: Taxonomy and Dataset for Measuring User Perceptions of Empathy in Sustained Human-AI Conversations
Empathy is increasingly recognized as a key factor in human-AI communication, yet conventional approaches to "digital empathy" often focus on simulating internal, human-like emotional states while overlooking the inherently subjective, contextual, and relational facets of empathy as perceived by users. In this work, we propose a human-centered taxonomy that emphasizes observable empathic behaviors and introduce a new dataset, Sense-7, of real-world conversations between information workers and …

"Sometimes You Need Facts, and Sometimes a Hug": Understanding Older Adults' Preferences for Explanations in LLM-Based Conversational AI Systems
Niharika Mathur, Tamara Zubatiy, Agata Rozga, Jodi Forlizzi, Elizabeth Mynatt
https://arxiv.org/abs/2510.06697

"Sometimes You Need Facts, and Sometimes a Hug": Understanding Older Adults' Preferences for Explanations in LLM-Based Conversational AI Systems
Designing Conversational AI systems to support older adults requires these systems to explain their behavior in ways that align with older adults' preferences and context. While prior work has emphasized the importance of AI explainability in building user trust, relatively little is known about older adults' requirements and perceptions of AI-generated explanations. To address this gap, we conducted an exploratory Speed Dating study with 23 older adults to understand their responses to context…

AI Where It Matters: Where, Why, and How Developers Want AI Support in Daily Work
Rudrajit Choudhuri, Carmen Badea, Christian Bird, Jenna Butler, Rob DeLine, Brian Houck
https://arxiv.org/abs/2510.00762

AI Where It Matters: Where, Why, and How Developers Want AI Support in Daily Work
Generative AI is reshaping software work, yet we lack clear guidance on where developers most need and want support, and how to design it responsibly. We report a large-scale, mixed-methods study of N=860 developers that examines where, why, and how they seek or limit AI help, providing the first task-aware, empirically validated mapping from developers' perceptions of their tasks to AI adoption patterns and responsible AI priorities. Using cognitive appraisal theory, we show that task evaluati…

C-QUERI: Congressional Questions, Exchanges, and Responses in Institutions Dataset
Manjari Rudra, Daniel Magleby, Sujoy Sikdar
https://arxiv.org/abs/2509.21548 https://

C-QUERI: Congressional Questions, Exchanges, and Responses in Institutions Dataset
Questions in political interviews and hearings serve strategic purposes beyond information gathering including advancing partisan narratives and shaping public perceptions. However, these strategic aspects remain understudied due to the lack of large-scale datasets for studying such discourse. Congressional hearings provide an especially rich and tractable site for studying political questioning: Interactions are structured by formal rules, witnesses are obliged to respond, and members with dif…

Human vs. AI Safety Perception? Decoding Human Safety Perception with Eye-Tracking Systems, Street View Images, and Explainable AI
Yuhao Kang, Junda Chen, Liu Liu, Kshitij Sharmad, Martina Mazzarello, Simone Mora, Fabio Duarte, Carlo Ratti
https://arxiv.org/abs/2509.25457

Human vs. AI Safety Perception? Decoding Human Safety Perception with Eye-Tracking Systems, Street View Images, and Explainable AI
The way residents perceive safety plays an important role in how they use public spaces. Studies have combined large-scale street view images and advanced computer vision techniques to measure the perception of safety of urban environments. Despite their success, such studies have often overlooked the specific environmental visual factors that draw human attention and trigger people's feelings of safety perceptions. In this study, we introduce a computational framework that enriches the existin…

Are You Really Empathic? Evidence from Trait, State and Speaker-Perceived Empathy, and Physiological Signals
Md Rakibul Hasan, Md Zakir Hossain, Aneesh Krishna, Shafin Rahman, Tom Gedeon
https://arxiv.org/abs/2509.16923

Are You Really Empathic? Evidence from Trait, State and Speaker-Perceived Empathy, and Physiological Signals
When someone claims to be empathic, it does not necessarily mean they are perceived as empathic by the person receiving it. Empathy promotes supportive communication, yet the relationship between listeners' trait and state empathy and speakers' perceptions remains unclear. We conducted an experiment in which speakers described a personal incident and one or more listeners responded naturally, as in everyday conversation. Afterwards, speakers reported perceived empathy, and listeners reported th…

Cooperative Dynamics of Censorship, Misinformation, and Influence Operations: Insights from the Global South and U.S
Zaid Hakami, Yuzhou Feng, Bogdan Carbunar
https://arxiv.org/abs/2509.17933

Cooperative Dynamics of Censorship, Misinformation, and Influence Operations: Insights from the Global South and U.S
Censorship and the distribution of false information, tools used to manipulate what users see and believe, are seemingly at opposite ends of the information access spectrum. Most previous work has examined them in isolation and within individual countries, leaving gaps in our understanding of how these information manipulation tools interact and reinforce each other across diverse societies. In this paper, we study perceptions about the interplay between censorship, false information, and influ…