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Experiential factors predicting the short-term impact of a museum visit
No full textWe investigate the experiential factors predicting the short-termimpact of a museum visit. Two recently developed frameworks wereused: the Dimensions of Visitor Experience (DoVE) framework byPacker et al. (2018) and the experience impact framework by Duerdenet al. (2018). We employ a survey method, collecting data from 523respondents over a year. The results of a SEM analysis reveal thatreflection and joy significantly enhance memorable impacts of thevisit, while sociability plays a smaller, yet still significant role. Reflectionalone significantly and largely influences perceived meaningfulness,and both sociability and reflection significantly contribute to transfor-mative impacts. This research provides valuable insights for museumsto design experiences that enhance their impact on visitors, therebydemonstrating their value to stakeholders and supporting museums’financial sustainability
Characterizing the investigative methods of fictional detectives with Large Language Models.
No full textReducing nuisance and enhancing efficiency: the impact of spatial interventions on dwell time in urban logistics.
No full textThe role of Light Electric Vehicles in advancing sustainable mobility: a survey on current adoption and future use intention.
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Unveiling gender bias in LLM-generated hero and heroine narratives.
No full textThis article investigates gender bias in narratives generated by Large Language Models (LLMs) through a two-phase study. Building on our existing work in narrative generation, we employ a structured methodology to analyze the influence of protagonist gender on both the generation and classification of fictional stories. In Phase 1, factual narratives were generated using six LLMs, guided by predefined narrative structures (Hero's Journey and Heroine's Journey). Gender bias was quantified through specialized metrics and statistical analyses, revealing significant disparities in protagonist gender distribution and associations with narrative archetypes. In Phase 2, counterfactual narratives were constructed by altering the protagonists’ genders while preserving all other narrative elements. These narratives were then classified by the same LLMs to assess how gender influences their interpretation of narrative structures. Results indicate that LLMs exhibit difficulty in disentangling the protagonist's gender from the narrative structure, often using gender as a heuristic to classify stories. Male protagonists in emotionally driven narratives were frequently misclassified as following the Heroine's Journey, while female protagonists in logic-driven conflicts were misclassified as adhering to the Hero's Journey. These findings provide empirical evidence of embedded gender biases in LLM-generated narratives, highlighting the need for bias mitigation strategies in AI-driven storytelling to promote diversity and inclusivity in computational narrative generation.</p
Navigating contradictory expectations : challenges in preparing for the games, animation and VFX industries.
No full textThe European games, animation and VFX industries, along with related educational institutions, are shifting towards sustainable practices due to growing awareness of workforce well-being, however, layoffs and increased interest in these fields has intensified competition in an already saturated job market. This has created contradictory expectations for prospective employees: the ideal employee, an adaptable team player, team-fit, with strong interpersonal skills; but also the ideal applicant, characterised as standout, highly skilled, competitive, and self-promoting. Using Study Demands-Resource Theory, this study examined how educational institutions and emerging talents navigate these contradicting demands. Thematic analyses highlighted the extreme nature of the overall industry, job market and academic demands placed on students, as well as how peer support, messages of reassurance, and well-meant advice can be both resources and stressors. Educational experts and students face critical decisions with significant implications for well-being and career prospects
