34,146 research outputs found

    Games against health: a player-centered design philosophy

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    This paper announces the “Games Against Health” (GAH) research agenda, a criticism of, and response to, the cultural imperialism of the “Games for Health” paradigm. Committed to player-centric design ethics, GAH seeks to dismantle the “games for health” myth as neo-liberal elitist diktat. We acknowledge the values, tastes and pleasures of billions of game players worldwide. We argue that game designers should engage more efficiently in the disimprovement of player health and wellbeing in order to cater to those players’ existing preferences. We hope the paper can serve as a convenient reference for those designing psychotic, sociopathic or antisocial games

    Wearable Computing for Health and Fitness: Exploring the Relationship between Data and Human Behaviour

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    Health and fitness wearable technology has recently advanced, making it easier for an individual to monitor their behaviours. Previously self generated data interacts with the user to motivate positive behaviour change, but issues arise when relating this to long term mention of wearable devices. Previous studies within this area are discussed. We also consider a new approach where data is used to support instead of motivate, through monitoring and logging to encourage reflection. Based on issues highlighted, we then make recommendations on the direction in which future work could be most beneficial

    A Trip to the Moon: Personalized Animated Movies for Self-reflection

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    Self-tracking physiological and psychological data poses the challenge of presentation and interpretation. Insightful narratives for self-tracking data can motivate the user towards constructive self-reflection. One powerful form of narrative that engages audience across various culture and age groups is animated movies. We collected a week of self-reported mood and behavior data from each user and created in Unity a personalized animation based on their data. We evaluated the impact of their video in a randomized control trial with a non-personalized animated video as control. We found that personalized videos tend to be more emotionally engaging, encouraging greater and lengthier writing that indicated self-reflection about moods and behaviors, compared to non-personalized control videos

    CHI and the future robot enslavement of humankind: a retrospective

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    As robots from the future, we are compelled to present this important historical document which discusses how the systematic investigation of interactive technology facilitated and hastened the enslavement of mankind by robots during the 21st Century. We describe how the CHI community, in general, was largely responsible for this eventuality, as well as how specific strands of interaction design work were key to the enslavement. We also mention the futility of some reactionary work emergent in your time that sought to challenge the inevitable subjugation. We conclude by congratulating the CHI community for your tireless work in promoting and supporting our evil robot agenda

    Essential Feature - Cooperative Gameplay

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    Although single player and multiplayer is very important in today game, cooperative mode is an essential part of a great game. There are a lot of benefits of playing co-op mode in a game such as education and joy. Communicating, solving problems, handling stress, managing time, making decision, following instructions, acting fast as well as working in a team are skills that students can learn and practice while they are playing cooperative games. These skills are valuable for students to use in education and even in careers

    Fall Prediction and Prevention Systems: Recent Trends, Challenges, and Future Research Directions.

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    Fall prediction is a multifaceted problem that involves complex interactions between physiological, behavioral, and environmental factors. Existing fall detection and prediction systems mainly focus on physiological factors such as gait, vision, and cognition, and do not address the multifactorial nature of falls. In addition, these systems lack efficient user interfaces and feedback for preventing future falls. Recent advances in internet of things (IoT) and mobile technologies offer ample opportunities for integrating contextual information about patient behavior and environment along with physiological health data for predicting falls. This article reviews the state-of-the-art in fall detection and prediction systems. It also describes the challenges, limitations, and future directions in the design and implementation of effective fall prediction and prevention systems

    Play strategy for Scotland: our vision

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