Hybrid paper-digital interfaces enabled by digital pens are a promising approach for supporting collaborative language, communication, and socialization activities. Digital pens enhance interaction with traditional pa...
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In this paper, we introduced a novel method to simulate moving spectator crowd behaviours. Different from the common methods, we taken the emotional affections between spectators into consideration and calculated thes...
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Exploring large network datasets, such as scientific collaboration networks, is challenging because they often contain a large number of nodes and edges in several types and with multiple attributes. Analyses of such ...
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ISBN:
(纸本)9781450310154
Exploring large network datasets, such as scientific collaboration networks, is challenging because they often contain a large number of nodes and edges in several types and with multiple attributes. Analyses of such networks are often long and complex, and may require several sessions by multiple users. Therefore, it is often difficult for users to recall their own exploration history or share it with others. We introduce GraphTrail, an interactive visualization for analyzing networks through exploration of node and edge aggregates that captures users' interactions and integrates this history directly in the exploration workspace. To facilitate large network analysis, GraphTrail integrates aggregation with familiar charts, drag-and-drop interaction on a canvas, and a novel pivoting mechanism for transitioning between aggregates. Through a three-month field study with a team of archeologists and a qualitative lab study with ten users, we demonstrate the effectiveness of our design and the benefits of integrated exploration history, including analysis comprehension, insight discovery, and exploration recall. Copyright 2012 ACM.
Companies are now making video-communication systems that allow pet owners to see, and, in some cases, even interact with their pets when they are separated by distance. Such 'doggie cams' show promise, yet it...
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humans use very sophisticated ways of bodily emotion expression combining facial expressions, sound, gestures and full body posture. Like others, we want to apply these aspects of human communication to ease the inter...
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We designed and ran an experiment to measure social influence in online recommender systems, specifically how often people's choices are changed by others' recommendations when facing different levels of confi...
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ISBN:
(纸本)9781450310154
We designed and ran an experiment to measure social influence in online recommender systems, specifically how often people's choices are changed by others' recommendations when facing different levels of confirmation and conformity pressures. In our experiment participants were first asked to provide their preferences between pairs of items. They were then asked to make second choices about the same pairs with knowledge of others' preferences. Our results show that others people's opinions significantly sway people's own choices. The influence is stronger when people are required to make their second decision sometime later (22.4%) than immediately (14.1%). Moreover, people seem to be most likely to reverse their choices when facing a moderate, as opposed to large, number of opposing opinions. Finally, the time people spend making the first decision significantly predicts whether they will reverse their decisions later on, while demographics such as age and gender do not. These results have implications for consumer behavior research as well as online marketing strategies. Copyright 2012 ACM.
Traces of activity left by social media users can shed light on individual behavior, social relationships, and community efficacy. Tools and processes to make sense of social traces are essential for enabling practiti...
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This special interest group provides the forum for an unofficial gathering of the Child-computerinteraction community for CHI 2012. Its aim is to provide a venue for structured discussions and networking. Particularl...
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We developed a framework for systematic evaluation of BCI systems. This framework is intended to compare features extracted from a variety of spectral measures related to functional connectivity, effective connectivit...
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Hybrid paper-digital interfaces are a promising approach for supporting language activities. The familiarity of pen and paper makes it a particularly attractive media for many user groups, including young children. Di...
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ISBN:
(纸本)9781450310154
Hybrid paper-digital interfaces are a promising approach for supporting language activities. The familiarity of pen and paper makes it a particularly attractive media for many user groups, including young children. Digital pens enhance interaction with traditional paper content by playing and recording audio and recognizing handwriting and gestures. Currently, generating custom interactive paper documents involves some programming, limiting its use by many user groups (e.g., educators and families) who might especially benefit from application of hybrid paper-digital interfaces in their practices. To address this need, we developed an enduser Toolkit for Authoring Pen and Paper Language Activities (TAP & PLAY). This paper describes the iterative development of the toolkit, its accessibility for novice non-technical users, and use in three different contexts for early language learning. We demonstrate and document the system's usability, generality, and utility for people who want to create and tailor their own custom interactive paper-based language activities. Copyright 2012 ACM.
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