In this work, we introduce FourieRF, a novel approach for achieving fast and high-quality reconstruction in the few-shot setting. Our method effectively parameterizes features through an explicit curriculum training procedure, incrementally increasing scene complexity during optimization. Experimental results show that prior induced by our is both robust adaptable across wide variety of scenes, establishing FourieRF as strong versatile baseline rendering problem. While significantly reduces...

Team closeness provides the foundations of trust and communication, contributing to teams' success viability. However, newcomers often struggle be included in a team since incumbents tend interact more with other existing members. Previous research suggests that online communication technologies can help inclusion by mitigating members' perceived differences. In this study, we test how virtual reality (VR) promote when forming teams. We conducted between-subject experiment teams working...

The field of Computer Supported Cooperative Work (CSCW) has an enduring interest in studying and designing technologies that bring people together partnerships, teams, crowds, communities, other collectives. As the enabling group formation have evolved, so too guiding questions pursued by CSCW scholars. This review outlines trajectory scholarship on with eye towards most pressing future this area. To understand how researchers studied technology-enabled formation, we systematically articles...

People and organizations are increasingly using online platforms to assemble teams. In response, HCI researchers have theorized frameworks created systems support team assembly. However, little is known about how users search for choose teammates on these platforms. We conducted a field study where 530 participants used formation system project describe users' traits social networks influence their teammate searches, choices, composition. Our results show that (a) what initially differs from...

Over the last 20 years, Latin American Human-Computer Interaction (HCI) community has been working to shed light on how diverse populations in region are adopting, using, and making sense of computational technologies. America's tense socio-political context, plurality languages, collectivist culture, historical relationship with Global North make it a unique rich space for HCI research. Considering growing number studies about communities emergent efforts contribute literature, we propose...

The emergence of team-assembly technologies has brought with it new challenges in designing and implementing socio-technical systems. Our understanding how systems shape the processes is still limited. How do enable users to find teammates? make decisions when using these systems? And what factors explain characteristics teams assembled? Building on existing literature from CSCW, computer science, management we propose a taxonomy characterize influence team assembly. This argues that two...

Despite the benefits of team diversity, individuals often choose to work with similar others. Online formation systems have potential help people assemble diverse teams. Systems can connect collaborators outside their networks, and features quantify raise salience diversity users as they search for prospective teammates. But if we build a feature indicating into tool, how will react it? Two experiments manipulating presence or absence "diversity score" within teammate recommender demonstrate...

News organizations are increasingly exploring how the use of newsbots can enhance journalism by enabling novel ways to disseminate news and engage with audiences in social media environments. While have begun draw attention studies, little consideration has been given perceive respond newsbots. Through lens human–machine communication (HMC), this article presents a case study newsbot interacting Twitter users who shared articles from New York Times (NYT). In particular, we analyzed users'...

Previous research shows that teams with diverse backgrounds and skills can outperform homogeneous teams. However, people often prefer to work others who are similar familiar them fail assemble high diversity levels. We study the team formation problem by considering a pool of individuals different characteristics, social network captures familiarity among these individuals. The goal is assign all based on their connections, thereby allowing preserve level familiarity. formulate this as...

News articles often use narrative frames to present people, organizations, and facts. These follow cultural archetypes, enabling readers associate each of the presented elements with familiar stereotypes, well-known characters, recognizable outcomes. In this way, authors can cast real people or organizations as heroes, villains, victims. We a system that identifies main entities news article, determines which is being hero, villain, victim. As currently implemented, interacts directly...

Este estudio explora cómo y por qué las personas encuentran colaboradores usando sistemas para la formación de equipos. Basados en teorías sobre equipos capital humano social, describimos los rasgos individuos sus redes sociales influyen procesos Realizamos un Argentina el que 43 profesores utilizaron una plataforma online formaron ocho interdisciplinarios. Nuestros resultados muestran inicialmente tendían a invitar contactos anteriores, pero finalmente, interdisciplinarios cohesivos con...

In this paper, we analyze the factors that are most likely to explain formation of friendship and advice ties among 44 students from a professional STEM graduate program. To answer our research questions, investigate how students' characteristics influence their networks using descriptive network analysis, community detection, Exponential Random Graph Models. The results show is mostly driven by demographic homophily prior group activities. Our findings also suggest female were more...

The rapid evolution of social Virtual Reality (VR) platforms has significantly enhanced the way users interact and socialize in digital spaces, offering immersive experiences that closely mimic real-world interactions [1]. However, this technological advancement brought new challenges, particularly ensuring safety preventing harassment [11]. Unlike traditional media platforms, nature VR applications can intensify impact harassment, affecting users' emotions, experiences, reactions at both...

This paper introduces VIVRA (Voice Interactive Virtual Reality Annotation), a VR application combining multimodal interaction with large language models (LLMs) to transform users' ideas into interactive 3D visualizations. converts verbalized thoughts "idea balloons" that summarize and expand on detected topics by an LLM. allows users verbalize their in real time or record display the later. We evaluated effectiveness of exploratory study 29 participants user 10 participants. Our results show...

In this study, we examined the impact of recommendation systems' algorithms on individuals' collaborator choices when forming teams. Different algorithmic designs can lead individuals to select one over another, thereby shaping their teams' composition, dynamics, and performance. To test hypothesis, conducted a 2 x between-subject laboratory experiment with 332 participants who assembled teams using system. We tested four that controlled participants' agency choose collaborators inclusion...

We propose a novel zero-shot approach for keypoint detection on 3D shapes. Point-level reasoning visual data is challenging as it requires precise localization capability, posing problems even powerful models like DINO or CLIP. Traditional methods rely heavily annotated datasets and extensive supervised training, limiting their scalability applicability to new categories domains. In contrast, our method utilizes the rich knowledge embedded within Multi-Modal Large Language Models (MLLMs)....