Tootfinder

This https://arxiv.org/abs/2505.17418 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

What Needs Attention? Prioritizing Drivers of Developers' Trust and Adoption of Generative AI
Generative AI (genAI) tools are advertised as productivity aids. Yet, issues related to miscalibrated trust and usage friction continue to hinder their adoption. Additionally, AI can be exclusionary, failing to support diverse users adequately, further exacerbating these concerns. One such aspect of diversity is cognitive diversity -- variations in users' cognitive styles -- that leads to divergence in interaction styles. When an individual's cognitive styles are unsupported, it creates additio…

Inside the split between MAGA and the Federalist Society - POLITICO
https://archive.is/20250530230441/https://www.politico.com/news/2025/05/30/trump-federalist-society-leonard-leo-maga-00378303#selection-749.66-749.122

Raiders' massive 6'6, 348-pound rookie trying out new position at OTAs https://www.sportingnews.com/us/nfl/las-vegas-raiders/news/raiders-massive-66-348-pound-rookie-trying-out-n…

This https://arxiv.org/abs/2505.13688 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Gaze-Enhanced Multimodal Turn-Taking Prediction in Triadic Conversations
Turn-taking prediction is crucial for seamless interactions. This study introduces a novel, lightweight framework for accurate turn-taking prediction in triadic conversations without relying on computationally intensive methods. Unlike prior approaches that either disregard gaze or treat it as a passive signal, our model integrates gaze with speaker localization, structuring it within a spatial constraint to transform it into a reliable predictive cue. Leveraging egocentric behavioral cues, our…

This https://arxiv.org/abs/2502.19082 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Trust-Enabled Privacy: Social Media Designs to Support Adolescent User Boundary Regulation
Adolescents heavily rely on social media to build and maintain close relationships, yet current platform designs often make self-disclosure feel risky or uncomfortable. Through a three-part study involving 19 teens aged 13-18, we identify key barriers to meaningful self-disclosure on social media. Our findings reveal that while these adolescents seek casual, frequent sharing to strengthen relationships, existing platform norms often discourage such interactions. Based on our co-design interview…

If anyone in Seattle is looking for some vintage Apple gear (old Intel Mac Pro towers, old Intel MacBook Pros, old Apple Cinema and Thunderbolt displays, old iPhones and iPads and Apple Watches, etc.), we're doing some spring cleaning! Many of these are currently going for $20 or less.
https://mastodon.om…

This https://arxiv.org/abs/2502.10570 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Quantifying the Impact of Motion on 2D Gaze Estimation in Real-World Mobile Interactions
Mobile gaze tracking involves inferring a user's gaze point or direction on a mobile device's screen from facial images captured by the device's front camera. While this technology inspires an increasing number of gaze-interaction applications, achieving consistent accuracy remains challenging due to dynamic user-device spatial relationships and varied motion conditions inherent in mobile contexts. This paper provides empirical evidence on how user mobility and behaviour affect mobile gaze trac…

This https://arxiv.org/abs/2412.07951 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

From Lived Experience to Insight: Unpacking the Psychological Risks of Using AI Conversational Agents
Recent gains in popularity of AI conversational agents have led to their increased use for improving productivity and supporting well-being. While previous research has aimed to understand the risks associated with interactions with AI conversational agents, these studies often fall short in capturing the lived experiences of individuals. Additionally, psychological risks have often been presented as a sub-category within broader AI-related risks in past taxonomy works, leading to under-represe…

The Chemical Clock of High-mass Star-forming Regions: N2H /CCS
J. L. Chen, J. S. Zhang, J. X. Ge, Y. X. Wang, H. Z. Yu, Y. P. Zou, Y. T. Yan, X. Y. Wang, D. Y. Wei
https://arxiv.org/abs/2505.23221

The Chemical Clock of High-mass Star-forming Regions: N2H+/CCS
Using the IRAM 30 m telescope, we presented observations of N2H+ J = 1-0, CCS JN = 87-76 and 77-66 lines toward a large sample of ultracompact HII regions (UC HIIs). Among our 88 UC HIIs, 87 and 33 sources were detected in the N2H+ J = 1-0 and CCS JN = 87-76 lines, respectively. For the CCS 77-66 transition, we detected emission in 10 out of 82 targeted sources, all of which also exhibited emission in the CCS JN = 87-76 line. Physical parameters are derived for our detections, including the opt…

This https://arxiv.org/abs/2412.04629 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Argumentative Experience: Reducing Confirmation Bias on Controversial Issues through LLM-Generated Multi-Persona Debates
Large language models (LLMs) are enabling designers to give life to exciting new user experiences for information access. In this work, we present a system that generates LLM personas to debate a topic of interest from different perspectives. How might information seekers use and benefit from such a system? Can centering information access around diverse viewpoints help to mitigate thorny challenges like confirmation bias in which information seekers over-trust search results matching existing …

This https://arxiv.org/abs/2407.17490 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

AMEX: Android Multi-annotation Expo Dataset for Mobile GUI Agents
AI agents have drawn increasing attention mostly on their ability to perceive environments, understand tasks, and autonomously achieve goals. To advance research on AI agents in mobile scenarios, we introduce the Android Multi-annotation EXpo (AMEX), a comprehensive, large-scale dataset designed for generalist mobile GUI-control agents which are capable of completing tasks by directly interacting with the graphical user interface (GUI) on mobile devices. AMEX comprises over 104K high-resolution…

This https://arxiv.org/abs/2407.02381 has been replaced.
link: https://scholar.google.com/scholar?q=a

What Should Be Considered to Support well-being with AI: Considerations Based on Responsible Research and Innovation
To achieve people's well-being with AI systems, we should enable each user to be guided to a healthier lifestyle in a way that is appropriate for her or him. However, there is a dilemma between general well-being as defined in academic and medical discussions and the autonomy users should have when deciding how to promote their well-being. In this position paper, we discuss the difficulty for AI application developers to fully consider in the design phase what might happen to the user, taking a…

aktuelles #Wetter #Behrendorf #Wische 30-05-2025 16:20
Temperatur: (min: 12,9C) 24,2C (max: 24,5C)
Feuchte: 66%
Luftdruck: 1016,2 hPa (gleichbleibend)
Windrichtung: 275 Grad
Wi…

DTBIA: An Immersive Visual Analytics System for Brain-Inspired Research
Jun-Hsiang Yao, Mingzheng Li, Jiayi Liu, Yuxiao Li, Jielin Feng, Jun Han, Qibao Zheng, Jianfeng Feng, Siming Chen
https://arxiv.org/abs/2505.23730

DTBIA: An Immersive Visual Analytics System for Brain-Inspired Research
The Digital Twin Brain (DTB) is an advanced artificial intelligence framework that integrates spiking neurons to simulate complex cognitive functions and collaborative behaviors. For domain experts, visualizing the DTB's simulation outcomes is essential to understanding complex cognitive activities. However, this task poses significant challenges due to DTB data's inherent characteristics, including its high-dimensionality, temporal dynamics, and spatial complexity. To address these challenges,…

Errors in Stereo Geometry Induce Distance Misperception
Raffles Xingqi Zhu, Charlie S. Burlingham, Olivier Mercier, Phillip Guan
https://arxiv.org/abs/2505.23685

Errors in Stereo Geometry Induce Distance Misperception
Stereoscopic head-mounted displays (HMDs) render and present binocular images to create an egocentric, 3D percept to the HMD user. Within this render and presentation pipeline there are potential rendering camera and viewing position errors that can induce deviations in the depth and distance that a user perceives compared to the underlying intended geometry. For example, rendering errors can arise when HMD render cameras are incorrectly positioned relative to the assumed centers of projections…

Human Empathy as Encoder: AI-Assisted Depression Assessment in Special Education
Boning Zhao
https://arxiv.org/abs/2505.23631 https://

Human Empathy as Encoder: AI-Assisted Depression Assessment in Special Education
Assessing student depression in sensitive environments like special education is challenging. Standardized questionnaires may not fully reflect students' true situations. Furthermore, automated methods often falter with rich student narratives, lacking the crucial, individualized insights stemming from teachers' empathetic connections with students. Existing methods often fail to address this ambiguity or effectively integrate educator understanding. To address these limitations by fostering a …

Self-driving technologies need the help of the public: A narrative review of the evidence
Jonathan Smith, Siddartha Khastgir
https://arxiv.org/abs/2505.23472

Self-driving technologies need the help of the public: A narrative review of the evidence
If public trust is lot in a new technology early in its life cycle it can take much more time for the benefits of that technology to be realised. Eventually tens-of-millions of people will collectively have the power to determine self-driving technology success of failure driven by their perception of risk, data handling, safety, governance, accountability, benefits to their life and more. This paper reviews the evidence on safety critical technology covering trust, engagement, and acceptance. …

Designing the Future of Entrepreneurship Education: Exploring an AI-Empowered Scaffold System for Business Plan Development
Junhua Zhu, Lan Luo
https://arxiv.org/abs/2505.23326

Designing the Future of Entrepreneurship Education: Exploring an AI-Empowered Scaffold System for Business Plan Development
Entrepreneurship education equips students to transform innovative ideas into actionable entrepreneurship plans, yet traditional approaches often struggle to provide the personalized guidance and practical alignment needed for success. Focusing on the business plan as a key learning tool and evaluation method, this study investigates the design needs for an AI-empowered scaffold system to address these challenges. Based on qualitative insights from educators and students, the findings highlight…

Investigating A Geometrical Solution to the Vergence-Accommodation Conflict for Targeted Movements in Virtual Reality
Xiaoye Michael Wang, Matthew Prenevost, Aneesh Tarun, Ian Robinson, Michael Nitsche, Gabby Resch, Ali Mazalek, Timothy N. Welsh
https://arxiv.org/abs/2505.23310

Investigating A Geometrical Solution to the Vergence-Accommodation Conflict for Targeted Movements in Virtual Reality
While virtual reality (VR) holds significant potential to revolutionize digital user interaction, how visual information is presented through VR head-mounted displays (HMDs) differs from naturalistic viewing and interactions in physical environments, leading to performance decrements. One critical challenge in VR development is the vergence-accommodation conflict (VAC), which arises due to the intrinsic constraints of approximating the natural viewing geometry through digital displays. Although…

Eye-tracking-Driven Shared Control for Robotic Arms:Wizard of Oz Studies to Assess Design Choices
Anke Fischer-Janzen, Thomas M. Wendt, Daniel G\"orlich, Kristof Van Laerhoven
https://arxiv.org/abs/2505.23147

Eye-tracking-Driven Shared Control for Robotic Arms:Wizard of Oz Studies to Assess Design Choices
Advances in eye-tracking control for assistive robotic arms provide intuitive interaction opportunities for people with physical disabilities. Shared control has gained interest in recent years by improving user satisfaction through partial automation of robot control. We present an eye-tracking-guided shared control design based on insights from state-of-the-art literature. A Wizard of Oz setup was used in which automation was simulated by an experimenter to evaluate the concept without requir…

Heute vor 59 Jahren: Am 27. Mai 1966 zündeten die USA im Rahmen von Operation #Flintlock die 42. #Atombombe "Discus Thrower". Flintlock war eine Serie von Tests zwischen 65/66 bei der insgesamt 47 #Kernwaffentests

iTrace : Interactive Tracing of Cross-View Data Relationships
Abdul Rahman Shaikh, Maoyuan Sun, Xingchen Liu, Hamed Alhoori, Jian Zhao, David Koop
https://arxiv.org/abs/2505.23079

iTrace : Interactive Tracing of Cross-View Data Relationships
Exploring data relations across multiple views has been a common task in many domains such as bioinformatics, cybersecurity, and healthcare. To support this, various techniques (e.g., visual links and brushing and linking) are used to show related visual elements across views via lines and highlights. However, understanding the relations using these techniques, when many related elements are scattered, can be difficult due to spatial distance and complexity. To address this, we present iTrace, …

Vision-Based Assistive Technologies for People with Cerebral Visual Impairment: A Review and Focus Study
Bhanuka Gamage, Leona Holloway, Nicola McDowell, Thanh-Toan Do, Nicholas Price, Arthur Lowery, Kim Marriott
https://arxiv.org/abs/2505.22983

Vision-Based Assistive Technologies for People with Cerebral Visual Impairment: A Review and Focus Study
Over the past decade, considerable research has investigated Vision-Based Assistive Technologies (VBAT) to support people with vision impairments to understand and interact with their immediate environment using machine learning, computer vision, image enhancement, and/or augmented/virtual reality. However, this has almost totally overlooked a growing demographic: people with Cerebral Visual Impairment (CVI). Unlike ocular vision impairments, CVI arises from damage to the brain's visual process…

#Proofreading is dead.
I feel like I've said this earlier. 🤔
https://arstechnica.com/ai/2025/05/chicago-sun-time…

#Wordle 1,432 3/6*
🟨⬜⬜⬜⬜ <1% of 215,759 (130)
⬜🟩🟩🟨⬜ 2% of 52 (2)
🟩🟩🟩🟩🟩 81% of 182
WordleBot
Skill 97/99
Luck 66/99
Submitted pretty much after I thought of it, even though I would generally look for a few other words first.
And it was basically the only word left, bot said the other word had a low 1% chance of being the answer (99% for the actual answer) although 14% of 182 people thought of it and tried it.

@…
The oldest ant fossil ever discovered had forward-facing scythe-like jaws it used to hunt, according to a new study in Current Biology. 
Now the oldest ant specimen known to science, the roughly half-inch-long 113-million-year-old impression preserved in limestone was found in northeastern Brazil, and is a new genus belonging to the “hell ant” subfamily Haidomyrmecinae. Hell ants only lived during the Cretaceous period, which ended 66 million years ago. 🧵

„No signal, 1081-head in the glitchy CGA swamp“ by z3k
Platform: Amiga
Released: 1 October 2022
Specification: 320x240px 66 colors
Note: 1st in the Flashparty 2022 Oldschool Pixel Art competition
#GFX_z3k #YR_2022

The richest 1% are responsible for more emissions than 66% of the world’s population.
Call on governments to #TaxTheSuperRich for a green and just future!
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