Essays about: "Mobile Player"
Showing result 1 - 5 of 49 essays containing the words Mobile Player.
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1. How we play : A qualitative approach to casual games, players and engagement
University essay from Jönköping University/JTH, Avdelningen för datateknik och informatikAbstract : This study examines engagement regarding casual mobile games. It does so by studying elements of user experience and user interface and how these elements either facilitate or discourage engagement. READ MORE
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2. Diablo: Immortal, A Pay-to-Win Study
University essay from Jönköping University/IHH, FöretagsekonomiAbstract : Background: P2W games (Pay-to-Win) occupy a significant position in the Chinese gaming market, attracting a large number of players to participate and spend money. However, there is still a knowledge gap in understanding the motivational factors behind the behavior and psychology of Chinese players in terms of their purchase motivation in specific games Diablo: Immortal. READ MORE
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3. Gamification in Disc Golf : Using Gamification to Improve Disc Golf User Experience
University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronikAbstract : Gamification is at its core a way to make a serious task more fun. This paper examines the potential use of gamification within the sport of disc golf and tries to determine whether a gamified variant of the sport can increase fun and improve the disc golf user experience. READ MORE
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4. A virtual pet game to raise carbon literacy in China
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : After the Paris Agreement, the people of the world have a more clear understanding of the goals to combat climate change and reduce carbon emissions. Previous studies have shown that improving people's carbon literacy could play a role in achieving ambitious climate emission targets. READ MORE
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5. Behavior reflects preference : Mitigating the user cold-start in recommender systems with user telemetry data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Recommender Systems are information filtering systems that aim to predict a user’s preference for an item. A central challenge when building a Recommender System is the user cold-start, the integration of new users into the recommendation process. READ MORE