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Value-Driven Service: How Employer Value Proposition Drives Proactive Service of Hospitality Employees
No full textPerceptions of and Exposure to Misinformation
No full textIn this study, we identify the determinants of individuals’ perceived exposure to misinformation on social media. While misinformation is not a new phenomenon, social media has proved particularly effective at enabling its spread globally. Several studies and surveys show that a large share of social media users across several countries are concerned about the spread of, and believe that they have been exposed to, misinformation online.
Yet, studies based on browsing and digital trace data conclude that the problem of misinformation on social media is overstated or has decreased (Acerbi et al. 2022; Allcott et al. 2019; Allen et al. 2020; Allen et al. 2021; Eady et al. 2023; Grinberg et al. 2019; Guess et al. 2019; Guess et al. 2020; Moore et al. 2023). These contradictions could come from the fact that misinformation tends to spread faster and receive high levels of engagement (Edelson et al. 2021; Marchal et al. 2019; Vosoughi et al. 2018), that audio-visual content is rarely accounted for in the above studies (see DiResta et al. 2019; Garimella and Eckles 2020; Nimmo et al. 2020; Reis et al. 2020; Yang et al. 2023 on audio-visual misinformation), or that misinformation topics are treated separately (e.g., some studies on political misinformation dismiss politically-charged topics, such as medical misinformation; see Gallotti et al. 2020; Kouzy et al. 2020; Li et al. 2020; Loveland et al. 2024; Madraki et al. 2021; Nsoesie et al. 2020; Singh et al. 2022).
With these findings in mind, in this study we investigate individuals’ perceived exposure to misinformation while controlling for their actual exposure to it, which we approximate in several ways. We do so by combining survey data with browsing data and social media takeout data. We argue that perceptions of being exposed to misinformation may be heightened when individuals are exposed to information from their opposing ideology.
We build on the literature on ideologically-motivated reasoning which argues that individuals have a hard time identifying misinformation that aligns with their preexisting beliefs and political views, and tend to discredit information that contradicts their views (Gampa et al. 2019; Gawronski 2021; Kunda 1990; Taber and Lodge 2006; Taber et al. 2009).
We conduct an individual-level survey in Spain (N = 1,700), and combine the survey data with browsing data and social media takeout data donated by a subset of participants. This allows us to approximate individuals’ actual exposure to misinformation or low-quality news from different sources online. By combining multiple data sources, we make a large contribution to the field by providing and measuring the effect of alternative measures of misinformation exposure
Hide and Seek at Work: Scripts and anonymized data
No full textAdoption of remote work has enabled organisations to downsize offices and introduce flexible seating with shared workstations, creating radically different spaces for employees to work and meet. With this study, I examine such spaces in a Danish company using an extensive mixed-methods approach: Through network analysis of 16,000 bookings from a desk-booking app, combined with qualitative data from participant observation and interviews, I explore patterns in employees’ office attendance and their spatial and collegial preferences. I find that flexible offices are shaped by managerial ideals of efficiency and identify two dominant tactics through which employees circumvent prescriptions of space: The first tactic involves hiding through extensive use of remote work, and the second is repeatedly seeking familiar colleagues and preferred places in the office. The study contributes to current debates on flexible work by showing how employees seek autonomy in their everyday working lives through subtle and non-confrontational spatial practices
SkillSwap: A Campus-First, Credit-Based Peer Mentoring System
No full textThis project contains the preprint of SkillSwap, a research-driven design and prototype of a campus-first, credit-based peer mentoring platform.
The work synthesizes prior research on peer learning, algorithmic matching, gamification, trust and reputation systems, and non-monetary incentive design to propose a socio-technical system for equitable skill exchange in higher education.
The paper presents the conceptual architecture, system design rationale, and findings from an early-stage prototype evaluation. Results should be interpreted as exploratory and intended to inform future large-scale empirical studies
Rethinking the origins of cross-language effects
No full textThis project contains datasets and codes for the following paper:
Hagihara, H.*, Barbir, M.*, Smith, L. B., & Yoshida, H. (2025). Rethinking the origins of cross-language effects: How heard verbs influence Japanese- and English-speaking children’s attention to the details of actions. Developmental Science. [Accepted
A scoping review for clinical diagnostic criteria, and their psychometric properties in diagnosing Motion sickness
No full textMotion sickness is a frequent condition resulting from conflicting sensory signals between the eyes, vestibular system, and body, leading to symptoms like nausea, vomiting, dizziness, headache, sweating, pallor, drowsiness, and increased salivation. Although tools such as the Motion Sickness Susceptibility Questionnaire (MSSQ), Simulator Sickness Questionnaire (SSQ), and the Motion Sickness Assessment Questionnaire (MSAQ) are widely used. Most available tests rely on subjective symptom reports, which impacts diagnostic accuracy across diverse populations. This scoping review aims to summarize clinical diagnostic criteria and psychometric properties (reliability, validity, sensitivity, and specificity) of motion sickness assessment tools. Following the PCC framework (Population: individuals with motion sickness ; Concept: diagnostic tools/criteria; Context: psychometric properties), The search was conducted from 2015 to 2025 three electronic databases . the review screened a total of 17,295 articles were identified through searches in databases like PubMed, Scopus, Cochrane, and Science Direct. Duplicate removal using Mendeley resulted in the exclusion of 11,768 records, 5,527 articles remained for title and abstract screening. Out of these, 5,500 were excluded, leaving 27 for full-text review. Ultimately, 8 studies met the inclusion criteria. The review was compiled in accordance to PRISMA extension for scoping review (PRISMA-ScR) Guidelines. Motion sickness susceptibility questionnaire (MSSQ), Simulator sickness questionnaire (SSQ), Motion Sickness Severity Scale (MSSS), Fast Motion Sickness Questionnaire (FMSQ) (demonstrates good test retest reliability and strong criterion validity and high sensitivity change in symptom severity and moderate specificity), Motion Sickness Assessment Questionnaire (MSAQ) (demonstrates excellent reliability and strong validity for assessing motion sickness severity across multiple symptoms domains. The scale shows high internal consistency (cronbach’s alpha 0.90-0.95) . Test retest reliability has been reported as good to excellent approximately 0.85-0.92). The Visually Induced Motion Sickness Susceptibility Questionnaire VIMSSQ (demonstrate robust internal consistency, reliability, and sensitivity to motion sickness symptoms .The strong reliability and detects differences by age and sex , Motion sickness susceptibility questionnaire (MSSQ) offers high reliability (Cronbach’s α = 0.86, test–retest > 0.8) and moderate predictive validity, with greater sensitivity than specificity). SSQ (adaptations confirm high reliability, valid symptom domains, and good sensitivity, but specificity remains less established) . Current tools reliably identify at-risk individuals and measure severity but may overestimate susceptibility, highlighting the need for standardized diagnostic criteria and physiological markers to improve specificity and adapt to emerging technologies.
Keywords: Motion sickness, nausea, vomiting, headache, dizziness, sweating, pallo
Quantization of Deep Neural Networks for Medical Image Analysis: A Systematic Review and Meta-Analysis.
No full textNeural network quantization has become established as a key strategy for tran- 1
sitioning medical imaging models from research environments to clinical devices and 2
resource-constrained edge platforms; however, the available evidence remains fragmented 3
and focused on highly heterogeneous use cases. This study presents a systematic review 4
of 72 studies on quantization applied to medical images, following PRISMA guidelines, 5
with the aim of characterizing the relationship among quantization technique, network 6
architecture, imaging modality, and execution environment, as well as their impact on 7
latency, memory footprint, and clinical deployment. Based on a structured variable matrix, 8
we analyze—through tailored visualizations—usage patterns of post-training quantization 9
(PTQ), quantization-aware training (QAT), mixed precision, and binary/low-bit schemes 10
across frameworks such as PyTorch, TensorFlow, and TensorFlow Lite, executed on server- 11
class GPUs, edge/embedded devices, and specialized hardware. The results reveal a strong 12
concentration of evidence in PyTorch/TensorFlow pipelines using INT8 or mixed precision 13
on GPUs and edge platforms, contrasted with limited attention to PACS/RIS interoperabil- 14
ity, model lifecycle management, energy consumption, cost, and regulatory traceability. We 15
conclude that, although quantization can approximate real-time performance and reduce 16
memory footprint, its clinical adoption remains constrained by integration challenges, 17
model governance requirements, and the maturity of the hardware–software ecosystem
Chlorella vulgaris in the Circular Economy: A Scoping Review on Circular Waste Valorization through Biorefineries for Bioproducts and Renewable Energy.
No full textTo map the scientific evidence on the use of Chlorella vulgaris in circular economy systems, focusing on the valorization of agro-industrial, urban, and industrial wastes through integrated biorefineries aimed at producing bioproducts and renewable energy