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iBookmark: locative texts and place-based authoring

Computer vision has made significant progress in recent decades, with steady improvements in the performance and robustness of computational methods for real-time detection, recognition, tracking, and modeling

Eulerian Video Magnification for Revealing Subtle Changes in the World

The Narrative Paradox is a theory that describes interaction and narrative cohesion as being in tension, and asserts that the structure of a narrative is disrupted by user adaptivity, leading to possible incoherence as the system accounts for interaction.

The Narrative Paradox is a theory that describes interaction and narrative cohesion as being in tension, and asserts that the structure of a narrative is disrupted by user adaptivity, leading to possible incoherence as the system accounts for interaction.

People feel they understand complex phenomena with far greater precision, coherence, and depth than they really do; they are subject to an illusion-an illusion of explanatory depth. The illusion is far stronger for explanatory knowledge than many other kinds of knowledge, such as that for facts, procedures or narratives. The illusion for explanatory knowledge is most robust where the environment supports real-time explanations with visible mechanisms

"Interactive narrative systems attempt to tell stories to players capable of changing the direction and/or outcome of the story. Despite the growing importance of multiplayer social experiences in games, little research has focused on multiplayer interactive narrative experiences. We performed a preliminary study to determine how human directors design and execute multiplayer interactive story experiences in online and real world environments. Based on our observations, we developed the Multiplayer Storytelling Engine that manages a story world at the individual and group levels. Our flexible story representation enables human authors to naturally model multiplayer narrative experiences. An intelligent execution algorithm detects when the author's story representation fails to account for player behaviors and automatically generates a branch to restore the story to the authors' original intent, thus balancing authorability against robust multiplayer execution."

"The move towards end-to-end IP between media producers and audiences will make new broadcasting systems vastly more agnostic to data formats and to diverse sets of consumption and production devices. In this world, object-based media becomes increasingly important; delivering efficiencies in the production chain, enabling the creation of new experiences that will continue to engage the audience and giving us the ability to adapt our media to new platforms, services and devices."

We show that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of highly sensitive personal attributes including: sexual orientation, ethnicity, religious and political views, personality traits, intelligence, happiness, use of addictive substances, parental separation, age, and gender. The analysis presented is based on a dataset of over 58,000 volunteers who provided their Facebook Likes, detailed demographic profiles, and the results of several psychometric tests. The proposed model uses dimensionality reduction for preprocessing the Likes data, which are then entered into logistic/linear regression to predict individual psychodemographic profiles from Likes. The model correctly discriminates between homosexual and heterosexual men in 88% of cases, African Americans and Caucasian Americans in 95% of cases, and between Democrat and Republican in 85% of cases. For the personality trait "Openness," prediction accuracy is close to the test-retest accuracy of a standard personality test. We give examples of associations between attributes and Likes and discuss implications for online personalization and privacy.

We show that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of highly sensitive personal attributes including: sexual orientation, ethnicity, religious and political views, personality traits, intelligence, happiness, use of addictive substances, parental separation, age, and gender.