Improving Viewing Experiences of First-Person Shooter Gameplays with Automatically-Generated Motion Effects

Yun, Gyeore; Lee, Hyoseung; Han, Sangyoon; Choi, Seungmoon

doi:10.1145/3411764.3445358

Cited by 21 publications

(2 citation statements)

References 18 publications

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“…However, one need only imagine a chemistry lesson, where the experimenter combines two reactants, with an exothermic or endothermic reaction resulting in a correspondingly hot/cold whiff of air being released, to illustrate the potential of using thermal wind devices in this context. Similarly, the potential of mulsemedia in enriching the gaming experience has also been alluded in previous work [79][80][81] − but not with thermal wind effects. We also envisage thermal wind devices being applied to the following situations: (a) to simulate remote weather before leaving home to make plans and to choose clothes accordingly; (b) in training applications where the temperature could spark changes in people's behavior, these devices could promote varying conditions to simulate certain situations that needed to be dealt with; and (c) for disabled people (e.g.…”

Section: Applications Of Twirlmentioning

confidence: 69%

Enhancing Multisensory Experiences Through Temperature-Controlled Wind Effects

Saleme

Silveira

Covaci

et al. 2023

Preprint

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In this paper, we introduce Twirl, a haptic system that allows the creation and delivery of hot and cold airflow synchronised with audiovisual content. Twirl combines vaporization of cooled water by Peltier elements for cold wind and hair dryers for warm wind steered by wind fans. To assess our system, we conducted several studies. First, we analyzed the time our devices take to deliver these effects considering different starting temperatures in the environment. Then, we annotated three videos with hot wind, cold wind, and both effects respectively to observe the feasibility of having those effects integrated with audiovisual content. Next, we assessed the temperature variation of the devices as a function of distance. Finally, we distributed questionnaires such as Virtual Reality Hardware Acceptance Model and Lombard's Temple Presence Inventory questionnaires to assess different user experience facets and attitudes towards the proposed device. Preliminary results highlighted positive user attitudes and experiences towards Twirl.

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Section: Applications Of Twirlmentioning

confidence: 69%

Enhancing Multisensory Experiences Through Temperature-Controlled Wind Effects

Saleme

Silveira

Covaci

et al. 2023

Preprint

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“…According to [12], [13], advancements in hardware and software technology have greatly contributed to the ability of 3D animation to reproduce human movement and expressions more accurately. Software updates, increased computing speed, and algorithm evolution have transformed 3D animation from mere visual representation into a deep immersive experience [14], [15], [16]. One of the most significant breakthroughs in the evolution of 3D animation is the use of motion capture technology.…”

Section: Literature Review a Evolution Of 3d Animation And The Role O...mentioning

confidence: 99%

The Use of Motion Capture Technology in 3D Animation

Caroline Wibowo,

Nugroho,

Wibowo

2024

IJCDS

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This research explores the application of Motion Capture (MoCap) technology in 3D animation, discussing the potential of algorithms in understanding human motion and enhancing motion capture technology. Through a comprehensive review, the study identifies the strengths and limitations of motion capture systems, emphasizing the importance of maintaining a balance between accessibility and quality in the process. The research utilizes a literature review and comprehensive analysis of motion capture technology in the context of 3D animation as its methodology. Literature sources were acquired from online journal databases such as IEEE, Google Scholar, and ScienceDirect. The literature analysis involves four phases of approach, including data extraction and systematic evaluation of the content of each source. The study reveals several challenges, including the complexity of synchronizing motion data with 3D models, understanding algorithms for human motion, and improving motion capture technology. Additionally, the research highlights the potential of machine learning algorithms to enhance the accuracy and efficiency of motion capture data processing. The research findings emphasize the importance of maintaining a balance between accessibility and quality when selecting motion capture systems for 3D animation production. Furthermore, machine learning algorithms are detected to improve the accuracy and efficiency of motion capture data processing. Identified challenges include integrating motion capture into 3D animation production, considering costs, and resource requirements, and integration with animation software. The potential use of motion capture in film production, video games, and other applications provides insights into the significant impact of this technology on the visual experience for audiences. In summary, this study offers an extensive examination of the motion capture procedure, as well as its potential and obstacles within the domain of 3D animation.

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