An array of studies has shown that games can be suitable for marketing communication - but that not all game genres can be expected to be equally successful in generating advertising effects. Since the game task in shooter games requests players to strictly focus on objects that can pose a threat, that game genre seems especially problematic for in-game advertising. Subliminal communication can theoretically be expected to overcome (part) of that problem. Therefore, our experimental study (N = 143) focuses on marketing communication effects of subliminally presented brand logos. We aim to find out (i) whether subliminal marketing communication causes recognition effects and (ii) whether pictorial logos differ from textual logos in the size of the effect they generate. This way we can shine a light on the message processing mechanisms that are foundational to subliminal message effects. The results of our study show that subliminally presented brand logos do have a communicative potential: the recognition effects are significant. Besides, our study indicates that pictorial logos have a greater propensity to subliminally communicate than textual logos.
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In this paper we show the Casanova language (and its accompanying design pattern, Rule-Script-Draw) in action by building a series of games with it. In particular we discuss how Casanova is suitable for making games regardless of their genre: the Game of Life, a shooter game, an adventure game and a strategy game. We also discuss the difference between Casanova and existing frameworks.
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Psychophysiological measurements have so far been used to express player experience quantitatively in game genres such as shooter games and race games. However, these methods have not yet been applied to casual video games. From a development point of view, games developed in the casual sector of the games industry are characterized by very short production cycles which make them ill-suited for complex and lengthy psychophysiological testing regimes. This paper discusses some methodological innovations that lead to the application of psychophysiological measurements to enhance the design of a commercially released casual game for the Apple iPad, called 'Gua-Le-Ni'; or, The Horrendous Parade'. The game was tested in different stages of its development to dry-run a cycle of design improvements derived from psychophysiological data. The tests looked at the correlation between stress levels and the contraction of facial muscles with in-game performance in order to establish whether 'Gua-Le-Ni' offered the cognitive challenge, the learning curve, and the enjoyment the designers had in mind for this product. In this paper, we discuss the changes that were made to the game and the data-analysis that led to these changes.
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In recent years video game consoles, such as the Nintendo Wii™ and the Microsoft Kinect™, have been introduced into residential facilities. This paper presents a review of current studies documenting the benefits and detriments the Wii could have on adults aged 60 years and over in residential facilities, concentrating on the common uses of the Wii in care facilities: maintaining physical fitness, promoting mental well-being, encouraging social interaction and both physical and mental rehabilitation. Furthermore, this paper discusses the potential use of the Microsoft Kinect in care for older persons. The Wii can have a positive impact on the physical and mental health of older adults living in care facilities, but additional work should still be conducted, including assessing the use of games outside of Wii Sports and Wii Fit and possible non-gaming application of the Wii in care for older adults. Results for the Wii display potential for use of the Kinect in care facilities but further exploration is required to assess the potential physical impact and interaction viability.
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The paper introduced an automatic score detection model using object detection techniques. The performance of sevenmodels belonging to two different architectural setups was compared. Models like YOLOv8n, YOLOv8s, YOLOv8m, RetinaNet-50, and RetinaNet-101 are single-shot detectors, while Faster RCNN-50 and Faster RCNN-101 belong to the two-shot detectors category. The dataset was manually captured from the shooting range and expanded by generating more versatile data using Python code. Before the dataset was trained to develop models, it was resized (640x640) and augmented using Roboflow API. The trained models were then assessed on the test dataset, and their performance was compared using matrices like mAP50, mAP50-90, precision, and recall. The results showed that YOLOv8 models can detect multiple objects with good confidence scores.
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Video game designers iteratively improve player experience by play testing game software and adjusting its design. Deciding how to improve gameplay is difficult and time-consuming because designers lack an effective means for exploring decision alternatives and modifying a game’s mechanics. We aim to improve designer productivity and game quality by providing tools that speed-up the game design process. In particular, we wish to learn how patterns en- coding common game design knowledge can help to improve design tools. Micro-Machinations (MM) is a language and software library that enables game designers to modify a game’s mechanics at run-time. We propose a pattern-based approach for leveraging high-level design knowledge and facilitating the game design process with a game design assistant. We present the Mechanics Pattern Language (MPL) for encoding common MM structures and design intent, and a Mechanics Design Assistant (MeDeA) for analyzing, explaining and understanding existing mechanics, and generating, filtering, exploring and applying design alternatives for modifying mechanics. We implement MPL and MeDeA using the meta-programming language Rascal, and evaluate them by modifying the mechanics of a prototype of Johnny Jetstream, a 2D shooter developed at IC3D Media.
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The concept of immersion has been widely used for the design and evaluation of user experiences. Augmented, virtual and mixed-reality environments have further sparked the discussion of immersive user experiences and underlying requirements. However, a clear definition and agreement on design criteria of immersive experiences remains debated, creating challenges to advancing our understanding of immersive experiences and how these can be designed. Based on a multidisciplinary Delphi approach, this study provides a uniform definition of immersive experiences and identifies key criteria for the design and staging thereof. Thematic analysis revealed five key themes – transition into/out of the environment, in-experience user control, environment design, user context relatedness, and user openness and motivation, that emphasise the coherency in the user-environment interaction in the immersive experience. The study proposes an immersive experience framework as a guideline for industry practitioners, outlining key design criteria for four distinct facilitators of immersive experiences–systems, spatial, empathic/social, and narrative/sequential immersion. Further research is proposed using the immersive experience framework to investigate the hierarchy of user senses to optimise experiences that blend physical and digital environments and to study triggered, desired and undesired effects on user attitude and behaviour.
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Liveblogs are very popular with the public and journalists alike. The problem, though, is their credibility, given the uncertainty of the covered events and the immediacy of their production. Little is known about how journalists routinize the unexpected—to paraphrase Tuchman—when journalists report about an event that is still unfolding. This paper is about makers of liveblogs, livebloggers, so to speak, and the routines and conventions they follow. To better understand the relationship between those who do the “liveblogging” and how the “liveblogging” is done, we interviewed a selection of nine experienced livebloggers who cover breaking news, sports, and politics for the three most-visited news platforms in the Netherlands. Based on our results, we concluded that journalists working at different platforms follow similar routines and conventions for claiming, acquiring, and justifying knowledge. Journalists covering news in liveblogs must have expert knowledge, as well as technical and organizational skills. Liveblogging—in contrast to regular, online reporting—is best summarized as a social process instead of an autonomous production. These findings are important for three reasons: first, to understand how journalists cope with uncertainty covering events under immediate circumstances using liveblogs; second, to understand the workings of this popular format; and third, to contribute to literature about journalistic genres, discourse communities and, more specifically, generic requirements of liveblogs for effects of credibility to take place.
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In today's world, understanding different viewpoints is key for societal cohesion and progress. Robots have the potential to provide aid in discussing tough topics like ethnicity and gender. However, comparably to humans, the appearance of a robot can trigger inherent prejudices. This study delves into the interplay between robot appearance and decision-making in ethical dilemmas. Employing a Furhat robot that can change faces in an instant, we looked at how robot appearance affects decision-making and the perception of the robot itself. Pairs of participants were invited to discuss a dilemma presented by a robot, covering sensitive topics of ethnicity or gender. The robot either adopted a first-person or third-person perspective and altered its appearance accordingly. Following the explanation, participants were encouraged to discuss their choice of action in the dilemma situation. We did not find significant influences of robot appearance or dilemma topic on perceived anthropomorphism, animacy, likeability, or intelligence of the robot, partly in line with previous research. However, several participants hearing the dilemma from a first-person perspective changed their opinion because of the robot's appearance. Future work can expand with different measures such as engagement, in order to shed light on the intricate dynamics of human-robot interaction, emphasizing the need for thoughtful consideration in designing robot appearances to promote unbiased engagement in discussions of societal significance
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