An investigation of the role of background music in IVWs for learning

Richards, Deborah; Fassbender, Eric; Bilgin, Ayşe; Thompson, William Forde

doi:10.1080/09687760802526715

Cited by 21 publications

(13 citation statements)

References 15 publications

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“…This research found that, for one particular musical stimulus, the number of accurately memorised facts was significantly higher. The authors suggest that this piece of music may have been more congruent with the material being taught, hence the improvement in fact recall with this particular background music (Richards et al 2008). …”

Section: Virtual Learning Environmentsmentioning

confidence: 97%

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Music and Human-Computer Interaction

Holland¹,

Wilkie²,

Mulholland³

et al. 2013

Springer Series on Cultural Computing

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Musical instruments have a property of long-term engagement: people frequently become so engaged with them that they practice and play them for years, despite receiving no compensation other than enjoyment. We examine this phenomenon by analysing how the intrinsic motives mastery, autonomy, and purpose are built into the design of musical instruments; because, according to the self-determination theory of motivation, these three motives impact whether an activity might be found enjoyable. This analysis resulted in the identification of seven abstract qualities, inherent to the activity of music making or to the design of musical instruments, which contribute to the three intrinsic motives. These seven qualities can be treated as heuristics for the design of human-computer interfaces that have long-term engagement. These heuristics can be used throughout the design process, from the preliminary stage of idea generation to the evaluation stage of finished prototypes. Interfaces with instrument-like long-term engagement would be useful in many applications, both inside and outside the realm of music: they seem particularly suited for applications based on the attainment of long-term goals, which can be found in fields such as physical fitness, rehabilitation, education, and many others. In this chapter, we discuss an interface prototype we created and its pending evaluation. This interface, a rehabilitative rhythm game, serves as a case study showing how the heuristics might be used during the design process.

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Section: Virtual Learning Environmentsmentioning

confidence: 97%

“…In an Education context, Immersive Virtual Worlds have been investigated to verify if they are an appropriate medium for learning (Richards et al 2008). Here, researchers considered how music from computer game soundtracks affects learning, specifically remembering facts.…”

Section: Virtual Learning Environmentsmentioning

confidence: 99%

Music and Human-Computer Interaction

Holland¹,

Wilkie²,

Mulholland³

et al. 2013

Springer Series on Cultural Computing

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“…The music industry, as part of the broader "experience design", impacts our everyday life. Music is tightly integrated with different virtual-immersive environment technologies for different purposes, e.g., education [15], gaming [37]. The main goal of background music is to create distinct and cohesive musical identities.…”

Section: Related Work 21 Background Music Industrymentioning

confidence: 99%

Scene-Aware Background Music Synthesis

Wang

Liang

et al. 2020

Proceedings of the 28th ACM International Conference on Multimedia

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Background music not only provides auditory experience for users, but also conveys, guides, and promotes emotions that resonate with visual contents. Studies on how to synthesize background music for different scenes can promote research in many fields, such as human behaviour research. Although considerable effort has been directed toward music synthesis, the synthesis of appropriate music based on scene visual content remains an open problem. In this paper we introduce an interactive background music synthesis algorithm guided by visual content. We leverage a cascading strategy to synthesize background music in two stages: Scene Visual Analysis and Background Music Synthesis. First, seeking a deep learning-based solution, we leverage neural networks to analyze the sentiment of the input scene. Second, real-time background music is synthesized by optimizing a cost function that guides the selection and transition of music clips to maximize the emotion consistency between visual and auditory criteria, and music continuity. In our experiments, we demonstrate the proposed approach can synthesize dynamic background music for different types of scenarios. We also conducted quantitative and qualitative analysis on the synthesized results of multiple example scenes to validate the efficacy of our approach. CCS CONCEPTS • Applied computing → Sound and music computing; • Humancentered computing → Virtual reality.

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“…In order to study the effect of background music in virtual environments for learning Richards et al [15], it was created a specific environment for a history lesson. Results revealed that listening to the soundtrack of 'Oblivion' conducted to an improvement in the number of facts remembered by the participants.…”

Section: Background Musicmentioning

confidence: 99%