Title
Topic
-
‘Influencing Health-Related Decision Making and Therapeutic Alliance With Robot Mobility and Deixis’
“Recent trends and developments in robotics have enabled socially assistive mobile robotic platforms to be deployed in everyday human lives. These robots have the ability to navigate to a user’s location and engage in multimodal interactions to serve a variety of purposes such as promoting health behavior change. … We found that robot mobility, proxemics and deictic and verbal cuing have significant positive effects on compliance with the robot’s food recommendations and resulting nutritional quality of assembled meals.” Find the paper and full list of authors in the 32nd IEEE International Conference on Robot and Human Interactive Communication proceedings.
-
‘Keeping Users Engaged During Repeated Administration of the Same Questionnaire: Using [LLMs] to Reliably Diversify Questions’
“Standardized, validated questionnaires are vital tools in HCI research and healthcare, offering dependable self-report data. However, their repeated use in longitudinal or pre-post studies can induce respondent fatigue, impacting data quality via response biases and decreased response rates. We propose utilizing large language models (LLMs) to generate diverse questionnaire versions while retaining good psychometric properties. … Our findings highlight the potential of LLM-generated variants to invigorate questionnaires, fostering engagement and interest without compromising validity.” Find the paper and full list of authors at ArXiv.
-
‘Augmented Reality as a Visualization Technique for Scholarly Publications in Astronomy: An Empirical Evaluation’
“We present a mixed methods user study evaluating augmented reality (AR) as a visualization technique for use in astronomy journal publications. This work is motivated by the highly spatial nature of scientific visualizations employed in astronomy. … In this 52-person user study, we evaluate two AR approaches … as spatial 3D visualization techniques, as compared to a baseline 3D rendering on a phone. We identify a significant difference in mental and physical workload between the two AR conditions in men and women.” Find the paper and full list of authors in the 2023 IEEE Visualization and Visual Analytics proceedings.
-
‘Conversational Assessment of Mild Cognitive Impairment with Virtual Agents’
“Over 55 million adults worldwide have dementia, a syndrome characterized by deterioration in cognitive functioning. Screening for mild cognitive impairment is important to identify dementia early to facilitate diagnosis and initiate treatment that may modify the disease trajectory. However, standard cognitive screening tools are time-consuming, require expert administration, and make people feel as if they are being tested and are thus potentially stigmatizing. … We explored cognitive ability assessments using virtual agents, in which assessments are made during conversational dialogues.” Find the paper and full list of authors in the proceedings of the 23rd ACM International Conference on Intelligent Virtual…
-
‘Changing Parent Attitudes Towards HPV Vaccination by Including Adolescents in Multiparty Counseling Using Virtual Agents’
“Parental permission is required for medical care for children, and decisions may be made without incorporating children’s views, even for adolescents. We explore the impact of including adolescents in virtual agent-based multiparty health counseling to promote Human Papillomavirus (HPV) vaccination. … We found significant pre-post increases in parent intent to vaccinate their adolescent for both versions of the agent.” Find the paper and full list of authors in the proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents.
-
‘Multiple Toddler Tracking in Indoor Videos’
“Multiple toddler tracking (MTT) involves identifying and differentiating toddlers in video footage. While conventional multi-object tracking (MOT) algorithms are adept at tracking diverse objects, toddlers pose unique challenges due to their unpredictable movements, various poses, and similar appearance. Tracking toddlers in indoor environments introduces additional complexities such as occlusions and limited fields of view. In this paper, we address the challenges of MTT and propose MTTSort, a customized method built upon the DeepSort algorithm.” Find the paper and full list of authors at ArXiv.
-
‘A Unified Approach for Resilience and Causal Responsibility With Integer Linear Programming (ILP) and LP Relaxations’
“What is a minimal set of tuples to delete from a database in order to eliminate all query answers? This problem is called ‘the resilience of a query’ and is one of the key algorithmic problems underlying various forms of reverse data management, such as view maintenance, deletion propagation and causal responsibility. A long-open question is determining the conjunctive queries (CQs) for which resilience can be solved in PTIME. We shed new light on this problem by proposing a unified Integer Linear Programming (ILP) formulation.” Find the paper and authors list in the ACM on Management of Data conference proceedings.
-
‘Zero-Shot Referring Expression Comprehension via Structural Similarity Between Images and Captions’
“Zero-shot referring expression comprehension aims at localizing bounding boxes in an image corresponding to provided textual prompts, which requires: (i) a fine-grained disentanglement of complex visual scene and textual context, and (ii) a capacity to understand relationships among disentangled entities. Unfortunately, existing large vision-language alignment (VLA) models, e.g., CLIP, struggle with both aspects so cannot be directly used for this task. To mitigate this gap, we leverage large foundation models to disentangle both images and texts into triplets in the format of (subject, predicate, object).” Find the paper and full list of authors at ArXiv.
-
‘Through the Looking Glass: The Role of Virtual Mirrors in Shaping Empathy in Virtual Reality Perspective Taking’
“In this study, we explored the effect of seeing one’s avatar in a virtual mirror during a virtual reality (VR) perspective taking experience. Participants were divided into two groups, with one experiencing the VR environment with the presence of a mirror showcasing their avatar and the other without. … However, a notable difference emerged in terms of empathy; participants who viewed their avatars in the mirror exhibited reduced empathic responses. These findings illuminate the nuanced dynamics of self-representation in virtual environments.” Find the paper and list of authors in the proceedings of the 22nd International Conference on Mobile and Ubiquitous…
-
‘Point and Select: Effects of Multimodal Feedback on Text Entry Performance in Virtual Reality’
“The current study examined the effects of visual, auditory, and haptic feedback on VR text entry performance and perceived mental workload across two experiments. In Experiment 1, the feedback was presented as users were pointing from one key to another, dubbed pointing feedback. … In Experiment 2, the feedback was provided when users selected the keys by pressing the trigger on the controller, dubbed selection feedback. … These results indicate that the usability of VR text entry tasks changes as a function of when and how feedback is provided.” Find the paper and authors list in the International Journal of…
-
‘Strata Fee Management in Condominiums via Smart Contracts’
“Condominiums and similar properties use a stratum to manage daily operations, and owners fund it through strata fees. While existing strata fee management systems may be able to handle such funds, such systems could be more inherently transparent. It is possible to leverage the digital ledger from blockchain networks and smart contracts to build a fully transparent strata fee management system. This paper proposes designing a strata fee management system based on a smart contract in the Ethereum network.” Find the paper and full list of authors in the Journal of Theoretical and Applied Electronic Commerce Research.
-
‘Query Efficient Weighted Stochastic Matching’
“In this paper, we study the weighted stochastic matching problem. Let G=(V,E) be a given edge-weighted graph and let its realization G be a random subgraph of G that includes each edge e∈E independently with a known probability pe. The goal in this problem is to pick a sparse subgraph Q of G without prior knowledge of G’s realization, such that the maximum weight matching among the realized edges of Q (i.e. the subgraph Q∩) in expectation approximates the maximum weight matching of the entire realization G.” Find the paper and full list of authors at ArXiv.
-
‘HypOp: Distributed Constrained Combinatorial Optimization Leveraging Hypergraph Neural Networks’
“Scalable addressing of high dimensional constrained combinatorial optimization problems is a challenge that arises in several science and engineering disciplines. Recent work introduced novel application of graph neural networks for solving polynomial-cost unconstrained combinatorial optimization problems. This paper proposes a new framework, called HypOp, which greatly advances the state of the art for solving combinatorial optimization problems in several aspects.” Find the paper and full list of authors at ArXiv.
-
‘Design Rules for Optimization of Photophysical and Kinetic Properties of Azoarene Photoswitches’
“Azoarenes are an important class of molecular photoswitches that often undergo E → Z isomerization with ultraviolet light and have short Z-isomer lifetimes. Azobenzene has been a widely studied photoswitch for decades but can be poorly suited for photopharmacological applications due to its UV-light absorption and short-lived Z-isomer half-life (t1/2). … We calculated the E-isomer absorption (λmax) and Z-isomer t1/2 for a set of 26 hemi-azothiophenes. We compared their properties to thiophene-based photoswitches that have been studied previously.” Find the paper and full list of authors at Organic and Biomolecular Chemistry.
-
‘Reanalysis of mtDNA mutations of human primordial germ cells (PGCs) reveals NUMT contamination … selection in PGCs may be positive’
“The resilience of the mitochondrial genome (mtDNA) to a high mutational pressure depends, in part, on negative purifying selection in the germline. A paradigm in the field has been that such selection, at least in part, takes place in primordial germ cells (PGCs). Specifically, Floros et al. (Nature Cell Biology 20: 144-51) reported an increase in the synonymity of mtDNA mutations (a sign of purifying selection) between early-stage and late-stage PGCs. We re-analyzed Floros’ et al. data and determined that their mutational dataset was significantly contaminated with single nucleotide variants.” Find the paper and full list of authors in Mitochondrion.
-
‘Allosteric Site Variants Affect GTP Hydrolysis on Ras’
“RAS GTPases are proto‐oncoproteins that regulate cell growth, proliferation and differentiation in response to extracellular signals. The signaling functions of RAS, and other small GTPases, are dependent on their ability to cycle between GDP‐bound and GTP‐bound states. … GTP hydrolysis catalyzed by HRAS can be regulated by an allosteric site located between helices 3, 4 and loop 7. Here we explore the relationship between intrinsic GTP hydrolysis on HRAS and the position of helix 3 and loop 7 through manipulation of the allosteric site, showing that the two sites are functionally connected.” Find the paper and authors list at Protein…
-
‘Characterizing collective physical distancing in the U.S. during the first nine months of the COVID-19 pandemic’
“The COVID-19 pandemic offers an unprecedented natural experiment providing insights into the emergence of collective behavioral changes. … Here, we characterize collective physical distancing … in response to the COVID-19 pandemic in the pre-vaccine era by analyzing de-identified, privacy-preserving location data for a panel of over 5.5 million anonymized, opted-in U.S. devices. We define five indicators of users’ mobility and proximity to investigate how the emerging collective behavior deviates from typical pre-pandemic patterns during the first nine months of the COVID-19 pandemic.” Find the paper and full list of authors at PLOS Digital Health.
-
‘Neural Network Field Theories: Non-Gaussianity, Actions and Locality’
“Both the path integral measure in field theory (FT) and ensembles of neural networks (NN) describe distributions over functions. When the central limit theorem can be applied in the infinite-width (infinite-N) limit, the ensemble of networks corresponds to a free FT. … Given the connected correlators of a FT, one can systematically reconstruct the action order-by-order in the expansion parameter, using a new Feynman diagram prescription whose vertices are the connected correlators.” Find the paper and full list of authors at Machine Learning: Science and Technology.
-
‘From Alert Child to Sleepy Adolescent: Age Trends in Chronotype, Social Jetlag and Sleep Problems in Youth With Autism’
“Developmental changes in sleep in youth with autism spectrum disorder (ASD) are understudied. In non-ASD youth, adolescents exhibit a ‘night owl chronotype’ … and social jetlag (i.e., shifts in sleep timing across school nights and weekends), with corresponding sleep problems. The purpose of this study is to evaluate age trends in chronotype, social jetlag and sleep problems in high-risk youth with ASD. … Older age was associated with later chronotype, more social jetlag, fewer sleep anxiety/co-sleeping problems, fewer night waking and parasomnia problems and more daytime alertness problems.” Find the paper and authors list at the Journal of Autism and…
-
‘Exploring the Indian Political YouTube Landscape: A Multimodal Multi-Task Approach’
“Social media profoundly influences all facets of our lives, including politics. Political parties, politicians, and media outlets have strategically cultivated their social media presence to engage with the public. However, with the advent of freely available Internet services in India, there has been a rising proliferation in the community of independent content creators on YouTube, with many getting millions of views per video. In this study, we present a novel multimodal dataset of videos, taken from 20 independent and influential content creators. … By introducing this novel dataset, we aim to stimulate further investigation within the domains of opinion dissemination…
-
‘Deploying and Evaluating LLMs to Program Service Mobile Robots’
“Recent advancements in large language models (LLMs) have spurred interest in using them for generating robot programs from natural language, with promising initial results. We investigate the use of LLMs to generate programs for service mobile robots leveraging mobility, perception, and human interaction skills, and where accurate sequencing and ordering of actions is crucial for success. We contribute CodeBotler, an open-source robot-agnostic tool to program service mobile robots from natural language, and RoboEval, a benchmark for evaluating LLMs’ capabilities of generating programs to complete service robot tasks.” Find the paper and full list of authors at ArXiv.
-
‘Interpretation Issues With “Genomic Vulnerability” Arise From Conceptual Issues in Local Adaptation and Maladaptation’
“As climate change causes the environment to shift away from the local optimum that populations have adapted to, fitness declines are predicted to occur. Recently, methods known as genomic offsets (GOs) have become a popular tool to predict population responses to climate change from landscape genomic data. Populations with a high GO have been interpreted to have a high ‘genomic vulnerability’ to climate change. … This study uses hypothetical and empirical data to explore situations in which different types of fitness offsets may or may not be correlated with each other or with a GO.”
-
‘Inhalable Bottlebrush Polymer Bioconjugates as Vectors for Efficient Pulmonary Delivery of Oligonucleotides’
“Antisense oligonucleotides hold therapeutic promise for various lung disorders, but their efficacy is limited by suboptimal delivery. To address this challenge, we explored the use of inhaled bottlebrush polymer–DNA conjugates, named pacDNA, as a delivery strategy. Inhaled pacDNA exhibits superior mucus penetration, achieving a uniform and sustained lung distribution in mice.” Find the paper and full list of authors at ACS Nano.