Adaptation in serious games for upper-limb rehabilitation: an approach to improve training outcomes

Hocine, Nadia; Gouaïch, Abdelkader; Cerri, Stefano A.; Mottet, Denis; Froger, Jérôme; Laffont, I.

doi:10.1007/s11257-015-9154-6

Cited by 105 publications

(63 citation statements)

References 36 publications

(55 reference statements)

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“…This enables service providers to aim to create a specific gameful experience or a specific level of this experience. This state perspective also has the potential to make services adapt to changes of the gameful experience over time (for example, the experience of being challenge declines); a type of continuous adaption to the progress and skill of a user previously suggested both for games (Georgiou and Demiris 2017) and for gamified services (Afyouni et al 2017;Hocine et al 2015). However, doing this with GAMEFULQUEST comes at the cost of continuous measurement for the user.…”

Section: Discussionmentioning

confidence: 99%

Gameful Experience Questionnaire (GAMEFULQUEST): an instrument for measuring the perceived gamefulness of system use

Högberg

Hamari

Wästlund

2019

User Model User-Adap Inter

190

127

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In this paper, we present the development and validation of an instrument for measuring users' gameful experience while using a service. Either intentionally or unintentionally, systems and services are becoming increasingly gamified and having a gameful experience is progressively important for the user's overall experience of a service. Gamification refers to the transformation of technology to become more game-like, with the intention of evoking similar positive experiences and motivations that games do (the gameful experience) and affecting user behavior. In this study, we used a mixed-methods approach to develop an instrument for measuring the gameful experience. In a first qualitative study, we developed a model of the gameful experience using data from a questionnaire consisting of open-ended questions posed to users of Zombies, Run!, Duolingo, and Nike+ Run Club. In a second study, we developed the instrument and evaluated its dimensionality and psychometric properties using data from users of Zombies, Run! (N = 371). Based on the results of this second study, we further developed the instrument in a third study using data from users of Duolingo (N = 507), in which we repeated the assessment of dimensionality and psychometric properties, this time including confirmation of the model. As a result of this work, we devised GAMEFULQUEST, an instrument that can be used to model and measure an individual user's gameful experience in systems and services, which can be used for user-adapted gamification and for informing user-modeling research within a gamification context.

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Section: Discussionmentioning

confidence: 99%

Gameful Experience Questionnaire (GAMEFULQUEST): an instrument for measuring the perceived gamefulness of system use

Högberg

Hamari

Wästlund

2019

User Model User-Adap Inter

190

127

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“…Adaptability: Games should be adapted to the player, especially when dealing with patients that suffered a stroke or some debilitating condition, since they are already under stress and frustration. Therefore, the game should adapt itself to be not too easy, which would be boring for the player, nor too hard, which would frustrate the patient even more [12,13]. For example, a dynamic difficulty adaptation technique can be used [13], which differs from the commonly used techniques of incremental difficulty adaptation and random difficulty adaptation.…”

Section: Patient Motivationmentioning

confidence: 99%

“…Therefore, the game should adapt itself to be not too easy, which would be boring for the player, nor too hard, which would frustrate the patient even more [12,13]. For example, a dynamic difficulty adaptation technique can be used [13], which differs from the commonly used techniques of incremental difficulty adaptation and random difficulty adaptation. This technique is based on the generation of game levels adapted to each patient.…”

Section: Patient Motivationmentioning

confidence: 99%

FarMyo: A Serious Game for Hand and Wrist Rehabilitation Using a Low-Cost Electromyography Device

Batista

Machado²,

Valença³

et al. 2019

IJSG

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One of the strategies used in recent years to increase the commitment and motivation of patients undergoing rehabilitation is the use of graphical systems, such as virtual environments and serious games. In addition to contributing to the motivation, these systems can simulate real life activities and provide means to measure and assess user performance. The use of natural interaction devices, originally conceived for the game market, has allowed the development of low cost and minimally invasive rehabilitation systems. With the advent of natural interaction devices based on electromyography, the user's electromyographic data can also be used to build these systems. This paper shows the development of a serious game focused on aiding the rehabilitation process of patients with hand motor problems, targeting to solve problems related to cost, adaptability and patient motivation in this type of application. The game uses an electromyography device to recognize the gestures being performed by the user. A gesture recognition system was developed to detect new gestures, complementing the device's own recognition system, which is responsible for interpreting the signals. An initial evaluation of the game was conducted with professional physiotherapists.

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“…Similarly, Bakkes et al (2014) personalise levels taking into account challenge balancing within an enhanced version of Infinite Mario Bros, such that short new level segments are generated during gameplay by mapping gameplay observations to player experience estimates. Hocine et al (2015) use player profiles in conjunction with a training module in serious games to model a stroke patient's motor abilities based on short-term prediction and their daily physical condition, which are then used to generate dynamically-customised game difficulty levels.…”

Section: Personalisation In Gamesmentioning

confidence: 99%

Reflective agents for personalisation in collaborative games

2018

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The collaborative aspect of games has been shown to potentially increase player performance and engagement over time. However, collaborating players need to perform well for the team as a whole to benefit and thus teams often end up performing no better than a strong player would have performed individually. Personalisation offers a means for improving overall performance and engagement, but in collaborative games, personalisation is seldom implemented, and when it is, it is overwhelmingly passive such that the player is not guided to goal states and the effectiveness of the personalisation is not evaluated and adapted accordingly. In this paper, we propose and apply the use of reflective agents to personalisation ('reflective personalisation') in collaborative gaming for individual players within collaborative teams via a combination of individual player and team profiling in order to improve player and thus team performance and engagement. The reflective agents self-evaluate, dynamically adapting their personalisation techniques to most effectively guide players towards specific goal states, match players and form teams. We incorporate this agent-based approach within a microservices architecture, which itself is a set of collaborating services, to facilitate a scalable and portable approach that enables both player and team profiles to persist across multiple games. An experiment involving 90 players over a two-month period was used to comparatively assess three versions of a collaborative game that implemented reflective, guided, and passive personalisation for individual players within teams. Our results suggest that the proposed reflective personalisation approach improves team player performance and engagement within collaborative games over guided or passive personalisation approaches, but that it is especially effective for improving engagement.

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Adaptation in serious games for upper-limb rehabilitation: an approach to improve training outcomes

Cited by 105 publications

References 36 publications

Gameful Experience Questionnaire (GAMEFULQUEST): an instrument for measuring the perceived gamefulness of system use

Gameful Experience Questionnaire (GAMEFULQUEST): an instrument for measuring the perceived gamefulness of system use

FarMyo: A Serious Game for Hand and Wrist Rehabilitation Using a Low-Cost Electromyography Device

Reflective agents for personalisation in collaborative games

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