Auflistung nach Schlagwort "Algorithm"
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- ZeitschriftenartikelBemerkungen zu Peter Wegners Ausführungen(Informatik-Spektrum: Vol. 21, No. 3, 1998) Prasse, Michael; Rittgen, PeterPeter Wegner vertritt einen Berechenbarkeitsbegriff, der vom klassischen abweicht, wie er von Church, Kleene, Markov, Post, Turing und anderen etabliert wurde. Insbesondere umfassen Wegners Ideen die Interaktion als grundlegende Eigenschaft heutiger Systeme. In dieser Arbeit erfolgt ein Vergleich der beiden verschiedenen Auffassungen sowie eine Erörterung, ob die Kritik von Wegner am klassischen Berechenbarkeitsbegriff berechtigt ist.Summary Peter Wegner’s definition of computability differs markedly from the classical term as established by Church, Kleene, Markov, Post, Turing et al.. Wegner identifies interaction as the main feature of today’s systems lacking in the classical treatment of computability. We compare the different approaches and argue whether or not Wegner’s criticism is appropriate.
- KonferenzbeitragEvaluating Real-Time Pitch Estimation Algorithms for Creative Music Game Interaction(INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) Meier, Peter; Schwär, Simon; Krump, Gerhard; Müller, MeinardMusic-based games are an important genre in the gaming community and have become increasingly popular with games like SingStar and Guitar Hero. These types of games are usually based on reactive game mechanics, where the player must hit a certain note at a certain time in order to score points. In this contribution, we present a game prototype that goes beyond purely music-reactive game mechanics and focuses more on the creative aspect of making music in games. In particular, we developed a jump-and-run game that can be controlled with a gaming controller but also uses the player’s singing voice to interact with the game world. To this end, we estimate the pitch of a microphone signal in real time and use it as a creative input to the game. This input can be used to control parts of the game world, for instance by singing and adding stair-like elements that allow the player to overcome obstacles and reach the end of a game level. With our game prototype, we demonstrate how game designers can incorporate musical challenges into a well-known game environment while motivating musicians to creatively explore and practice their musical skills. Furthermore, motivated by our game prototype, we evaluate different real-time pitch estimation algorithms using common MIR metrics on a publicly available dataset to analyse what works best for our gaming scenario.
- KonferenzbeitragIt Actually Affected My Relationship": A Qualitative Analysis of Affordances and Attitudes Towards Mental Health Content on TikTok"(Proceedings of Mensch und Computer 2024, 2024) Schluchter, Tim; Ahmed, Nimra; Huang, ElaineThis paper investigates the factors and platform-specific affordances that contribute to the popularity of mental health (MH) content on TikTok, a topic of growing importance within Human-Computer Interaction (HCI) due to its impact on public MH literacy and individual well-being. Diverging from studies that focus predominantly on the For You Page" algorithm, this research employs qualitative methods to explore a broader array of features that facilitate the platform’s success in MH discussions. Through semi-structured interviews with fourteen TikTok users, including viewers and creators, this study examines how TikTok’s community, algorithmic recommendations, interactive features, and engaging environment support the sharing and consumption of MH content. Additionally, it explores user perceptions and attitudes towards TikTok as an MH platform, revealing various opinions, impacts, and experiences. Our findings highlight how TikTok fosters a unique space for MH discussions and provide design considerations for optimizing such platforms for MH communication."
- KonferenzbeitragSupporting Informed Negotiation Processes in Group Recommender Systems(i-com: Vol. 14, No. 1, 2015) Gross, TomGroup recommender systems make suggestions to groups of users who want to share experiences or products. Despite their high potential for helping users, GRS face diverse challenges that can be clustered into two groups: predictions and processes. Generating predictions of the goodness of the fit of recommendations to the group has been seen as a core challenge of recommender systems from their beginning, while supporting the processes of discussion for reaching consensus on the item to pick is a more recent challenge. In this paper I report on a base platform for GRS with powerful algorithms for generating and explaining recommendations with high predictions, and an easy and effective process model for GRS.