Suspenseful design: Engaging emotionally with complex applications through compelling narratives

Langer, Rebecca C.; Hancock, Mark; Scott, Stacey D.

doi:10.1109/gem.2014.7048089

Cited by 5 publications

(4 citation statements)

References 58 publications

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“…Langer et al [48] propose suspenseful design to inquire narrative and storytelling, while Frasca [49] studies the relationships between ludology and narrative considering it as an integration for other metrics, in fact it offers ways to enhance involvement similarly to non-interactive media. Calleja [50] studies the narrative involvement, introducing a model to understand the player experiential narrative, while Zagalo and Torres [51] present an emotion module from an authoring tool of interactive storytelling.…”

Section: Gameplay and Genresmentioning

confidence: 99%

Affective level design for a role-playing videogame evaluated by a brain–computer interface and machine learning methods

2016

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Game science has become a research field, which attracts industry attention due to a worldwide rich sell-market. To understand the player experience, concepts like flow or boredom mental states require formalization and empirical investigation, taking advantage of the objective data that psychophysiological methods like electroencephalography (EEG) can provide. This work studies the affective ludology and shows two different game levels for Neverwinter Nights 2 developed with the aim to manipulate emotions; two sets of affective design guidelines are presented, with a rigorous formalization that considers the characteristics of role-playing genre and its specific gameplay. An empirical investigation with a brain–computer interface headset has been conducted: by extracting numerical data features, machine learning techniques classify the different activities of the gaming sessions (task and events) to verify if their design differentiation coincides with the affective one. The observed results, also supported by subjective questionnaires data, confirm the goodness of the proposed guidelines, suggesting that this evaluation methodology could be extended to other evaluation tasks

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Section: Gameplay and Genresmentioning

confidence: 99%

Affective level design for a role-playing videogame evaluated by a brain–computer interface and machine learning methods

2016

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“…Strategic thinking is key to success. Players need to gather information about the opponents, anticipate their moves, outflank their attacks, and formulate a winning strategy [12]. StarCraft II features three distinct races whose armies comprise entirely unique units and structures.…”

Section: Introductionmentioning

confidence: 99%

Attractiveness of real time strategy games

Xiong

Iida

2015

COMSIS J

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Game refinement idea is a unique theory that has been proposed based on the uncertainty of game outcome. A game refinement measure was derived from the game information progress model and has been applied in the domains such as board games and sports games. The present challenge is to apply the game refinement theory in the domain of RTS games. To do so, we use StarCraft II as a testbed and introduce a concept of strategy tree in order to construct a game tree of a RTS game. Then, game refinement values are calculated and compared with other type of games. It is found that StarCraft II has a zone value of game refinement.

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“…The idea of suspense [8,29] is a close counterpart to curiosity, with the key difference being the level of emotional engagement with the uncertain outcome.…”

Section: Practical Applications and Related Constructsmentioning

confidence: 99%

Curiosity Killed the Cat, but Makes Crowdwork Better

Law

Yin

Goh

et al. 2016

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

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Crowdsourcing systems are designed to elicit help from humans to accomplish tasks that are still difficult for computers. How to motivate workers to stay longer and/or perform better in crowdsourcing systems is a critical question for designers. Previous work have explored different motivational frameworks, both extrinsic and intrinsic. In this work, we examine the potential for curiosity as a new type of intrinsic motivational driver to incentivize crowd workers. We design crowdsourcing task interfaces that explicitly incorporate mechanisms to induce curiosity and conduct a set of experiments on Amazon's Mechanical Turk. Our experiment results show that curiosity interventions improve worker retention without degrading performance, and the magnitude of the effects are influenced by both the personal characteristics of the worker and the nature of the task.

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Suspenseful design: Engaging emotionally with complex applications through compelling narratives

Cited by 5 publications

References 58 publications

Affective level design for a role-playing videogame evaluated by a brain–computer interface and machine learning methods

Affective level design for a role-playing videogame evaluated by a brain–computer interface and machine learning methods

Attractiveness of real time strategy games

Curiosity Killed the Cat, but Makes Crowdwork Better

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