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In 2021, the RISM Digital Center introduced RISM Online. This represented a shift in how we present the RISM data to a global audience, supporting new methods of digital research and keeping the RISM project central to modern music scholarship. RISM ...

Digital platforms have become central in job search. Job-seekers’ experiences with these platforms, however, is a relatively new research area. This paper presents findings from 27 interviews with US low-income job-seekers. Job-seekers encountered many ...

Today, augmented and mixed reality (AR/MR) are found very promising. Even current handheld displays, such as smartphones and tablets, can provide a wide and low budget access to such applications. New devices, like Apple’s Vision Pro, smart tattoos1 [8],...

The widespread use of the internet and the convenience offered by online shopping have changed consumers' shopping habits, increasing the demand for e-commerce. In the e-commerce ecosystem, where the competitive environment is increasing day by day, ...

B-roll is vital when producing high-quality videos, but finding the right images can be difficult and time-consuming. Moreover, what B-roll is most effective can depend on a video content creator’s intent—is the goal to entertain, to inform, or something ...

As search evolves and Generative AI enables users to express more complex information needs and goals, it is an opportune moment to investigate how the search for information influences creativity. Little is known about how creators — especially novices ...

Lifelong personalised learning is often described as the holy grail of the educational data sciences, but work on the topic is sporadic and we are yet to achieve this goal in a meaningful form. In the wake of the skills shortages arising from national ...

In news media, recommender system technology faces several domain-specific challenges. The continuous stream of new content and users deems content-based recommendation strategies, based on similar-item retrieval, to remain popular. However, a ...

When using web search engines to conduct inquiries on debated topics, searchers’ interactions with search results are commonly affected by a combination of searcher and system biases. While prior work has mainly investigated these biases in isolation, ...

Next-item recommender systems are often trained using only positive feedback with randomly-sampled negative feedback. We show the benefits of using real negative feedback both as inputs into the user sequence and also as negative targets for training a ...

Provider fairness aims at regulating the recommendation lists, so that the items of different providers/provider groups are suggested by respecting notions of equity. When group fairness is among the goals of a system, a common way is to use coarse ...

Social recommender systems (SocialRS) simultaneously leverage the user-to-item interactions as well as the user-to-user social relations for the task of generating item recommendations to users. Additionally exploiting social relations is clearly ...

With the development of science and technology, intelligent image recognition and digital media art are gradually applied to the inheritance of intangible cultural heritage. In the inheritance of black pottery, intelligent image recognition can help ...

At this stage, there are problems of disconnection between theoretical knowledge and practice and lack of coherence and progression in the teaching of basic courses for design majors. The teaching of basic courses for design majors is an important part of ...

The performance of mobile devices directly affects billions of people worldwide. Yet, despite memory management being key to their responsiveness, energy efficiency, and cost, mobile devices are understudied in the literature. A paucity of suitable ...

Early detection and treatment of Social Anxiety Disorder (SAD) is crucial. However, current diagnostic methods have several drawbacks, including being time consuming for clinical interviews, susceptible to emotional bias for self-reports, and inconclusive ...

Multi-modal large language models (MLLMs), such as GPT-4, exhibit great comprehension capabilities on human instruction, as well as zero-shot ability on new downstream multi-modal tasks. To integrate the different modalities within a unified embedding ...

The iOS App Store is widely recognized as a trustworthy source for applications, primarily because of the strict regulations enforced by Apple. However, despite these measures, the presence of scamwares and the prevalence of crowdturfing (fake) reviews ...

Ending a gaming session can be challenging for children and parents/guardians. Although many tools exist to monitor and restrict playtime, many do not adequately communicate session progress to children, and do not effectively involve guardians in the ...

Technology-enhanced learning environments in the fields of Science, Technology, Engineering, and Mathematics (STEM) are popular in both formal and informal educational settings. STEM learning in childhood provides students with hands-on experiences in ...