Affective Design Patterns in Computer Games. Scrollrunner Case Study

Nalepa, Grzegorz J.; Giżycka, Barbara; Kutt, Krzysztof; Argasiński, Jan K.

doi:10.15439/2017f192

Cited by 11 publications

(5 citation statements)

References 19 publications

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“…Our previous preliminary research in field of AfC [36,37] led us to specify which software will be convenient for laboratory experiments. Among others, we established that such technology should facilitate recording data from several different tools simultaneously, take care of the fact that every wearable device provides another set of sensors, and save files in a convenient format (such as .CSV).…”

Section: Results In the Analysis Of Emotional Context With Wearablmentioning

confidence: 99%

“…In order to evaluate the ideas related to the detection of emotions using mobile sensors, we decided to take up the area of computer games. Our approach is based on an earlier study, described in [37], which was our first attempt at using affective computing techniques in the design of video games. This was also the time when our original idea of the proposed concept for facilitating games with an affective component first sparked.…”

Section: Results In the Analysis Of Emotional Context With Wearablmentioning

confidence: 99%

“…As in the case of the pilot study, we gathered GSR and HR/BVP data, as well as timestamps of visual stimuli appearance and of in-game events. The results from the first series and from the pilot study were published and discussed in [37]; these allowed us to configure our initial hardware setup and test the BandReader application.…”

Section: Results In the Analysis Of Emotional Context With Wearablmentioning

confidence: 99%

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Analysis and Use of the Emotional Context with Wearable Devices for Games and Intelligent Assistants

Nalepa

Kutt

Giżycka

et al. 2019

Sensors

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In this paper, we consider the use of wearable sensors for providing affect-based adaptation in Ambient Intelligence (AmI) systems. We begin with discussion of selected issues regarding the applications of affective computing techniques. We describe our experiments for affect change detection with a range of wearable devices, such as wristbands and the BITalino platform, and discuss an original software solution, which we developed for this purpose. Furthermore, as a test-bed application for our work, we selected computer games. We discuss the state-of-the-art in affect-based adaptation in games, described in terms of the so-called affective loop. We present our original proposal of a conceptual design framework for games, called the affective game design patterns. As a proof-of-concept realization of this approach, we discuss some original game prototypes, which we have developed, involving emotion-based control and adaptation. Finally, we comment on a software framework, that we have previously developed, for context-aware systems which uses human emotional contexts. This framework provides means for implementing adaptive systems using mobile devices with wearable sensors.

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Section: Results In the Analysis Of Emotional Context With Wearablmentioning

confidence: 99%

Section: Results In the Analysis Of Emotional Context With Wearablmentioning

confidence: 99%

Section: Results In the Analysis Of Emotional Context With Wearablmentioning

confidence: 99%

See 1 more Smart Citation

Analysis and Use of the Emotional Context with Wearable Devices for Games and Intelligent Assistants

Nalepa

Kutt

Giżycka

et al. 2019

Sensors

Self Cite

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“…According to [20] the design concept that suits users with disabilities is challenging as we have to adhere to their affective needs. Studies on affective design have proven that the value of outcome can be increased especially on the interface design [21], [22] and interaction behavior [23]. The concept of affective design is based on [20], [21], [23], [24] that address the inclusion of feelings, thought (perception), emotion and actions.…”

Section: Affective Design Conceptmentioning

confidence: 99%

Design and Development of Affective 4-Dimensional Mobile Mathematics for Low Vision Alpha Generation

Aziz¹,

Ahmad²,

Rahman³

et al. 2021

TEM Journal

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In this digital era, low vision children should learn Mathematics by using similar learning content provided for mainstream students. Teachers need to express their feeling, thought, emotions, and actions to ensure the low vision learners can grasp the mathematics content. However, it is too tough for low vision children to adapt to the common learning content which is in contrast with their needs. Consequently, this study aims to develop Affective 4- Dimensional Mobile Mathematics for Low Vision Alpha Generation. This study adapted the 3-Phases Development Model. Accordingly, the findings of this study are the design and development of the abovementioned application.

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“…Biosignals have been applied to videogames, with several distinct goals: (1) to adapt games to their players (adaptive game) [4]; (2) to capture the emotional state of players (affective games), providing feedback to players regarding their state [5]; or (3) to allow players to interact with games using these signals (brain-computer interfaces as game controllers) [6]. Additionally, bioelectrical signal data can be analyzed to better understand the usage of the game, its nonconscious effects on the player and the extent to which players are engaged while playing.…”

Section: Introductionmentioning

confidence: 99%

Scoping Review of Bioelectrical Signals Uses in Videogames for Evaluation Purposes

2022

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Bioelectric signals can improve assessment in videogames by helping to better understand user experience, evaluate attention, or study the cognitive and physical effects of games. Use of signals is therefore relevant to better evaluate and understand the impact and effects of videogames on players, and specially so in the field of serious games, such as educational or training games, to gain insights into the learning processes; or in games for health to better evaluate non-conscious effects on the player's body. We examine how biological signals (bioelectric + eye-tracking) are being used and collected in the field of video games, including the choice of signals, the devices used to collect them (e.g., wearables), the purposes for which they are collected, and the results reported from their use. As a result of this systematic literature review, 81 articles have been analyzed, finding that electrocardiograms and encephalograms are the most frequently used signals. The main use of these bioelectrical signals is to evaluate player engagement, level of difficulty, and stress during the gameplay. But there are also examples where signals are used to detect health problems, or as evidence to compare educational games with other learning activities. This review informs researchers interested in better understanding the benefits and limitations of biological signals for video games, providing an overview of studies conducted in recent years and the associated devices described in those studies. Limitations in this field include signal noise issues as well as the amount of time required to calibrate the devices during experiments, adding to the complexity of user testing. It is necessary to work on tools that facilitate experiments with large groups of users in parallel as well as to work on open software and low-cost devices that allow the emergence of a greater number of studies in this field, given for example their potential in the field of educational games to better understand the learning processes of users.

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Affective Design Patterns in Computer Games. Scrollrunner Case Study

Cited by 11 publications

References 19 publications

Analysis and Use of the Emotional Context with Wearable Devices for Games and Intelligent Assistants

Analysis and Use of the Emotional Context with Wearable Devices for Games and Intelligent Assistants

Design and Development of Affective 4-Dimensional Mobile Mathematics for Low Vision Alpha Generation

Scoping Review of Bioelectrical Signals Uses in Videogames for Evaluation Purposes

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