Current Issue : April - June Volume : 2013 Issue Number : 2 Articles : 5 Articles
In order to collaboratively explore an environment with a Micro Aerial Vehicle (MAV), an operator needs a mobile interface,\r\nwhich can support the operatorââ?¬â?¢s divided attention. To this end, we developed the Micro Aerial Vehicle Exploration of an\r\nUnknown Environment (MAV-VUE) interface, which allows operators with minimal training the ability to remotely explore their\r\nenvironment with a MAV. MAV-VUE employs a concept we term Perceived First-Order (PFO) control, which allows an operator\r\nto effectively ââ?¬Å?flyââ?¬Â a MAV with no risk to the vehicle. PFO control utilizes a position feedback control loop to fly the MAV while\r\npresenting rate feedback to the operator. A usability study was conducted to evaluate MAV-VUE. This interface was connected\r\nremotely to an actual MAV to explore a GPS-simulated urban environment...
The ââ?¬Å?WikiWayââ?¬Â is the open editing philosophy of wikis meant to foster open collaboration and continuous improvement of their\r\ncontent. Just like other online communities, wikis often introduce and enforce conventions, constraints, and rules for their content,\r\nbut do so in a considerably softer way, expecting authors to deliver content that satisfies the conventions and the constraints,\r\nor, failing that, having volunteers of the community, the WikiGnomes, fix othersââ?¬â?¢ content accordingly. Constrained wikis is\r\nour generic framework for wikis to implement validators of community-specific constraints and conventions that preserve the\r\nWikiWay and their open collaboration features. To this end, specific requirements need to be observed by validators and a specific\r\nsoftware architecture can be used for their implementation, that is, as independent functions (implemented as internal modules\r\nor external services) used in a nonintrusive way. Two separate proof-of-concept validators have been implemented for MediaWiki\r\nand MoinMoin, respectively, providing an annotated view functions, that is, presenting content authors with violation warnings,\r\nrather than preventing them from saving a noncompliant text....
Human decision makers typically use heuristics under time-pressured situations. These heuristics can potentially degrade task\r\nperformance through the impact of their associated biases. Using object identification in image analysis as the context, this paper\r\nidentifies cognitive biases that play a role in decision making.We propose a decision support system to help overcome these biases\r\nin this context. Results show that the decision support system improved human decision making in object identification, including\r\nmetrics such as time taken to identify targets in an image set, accuracy of target identification, accuracy of target classification, and\r\nquantity of false positive identification....
This paper describes a method for estimating the internal state of a user of a spoken dialog system before his/her first input\r\nutterance. When actually using a dialog-based system, the user is often perplexed by the prompt. A typical system provides more\r\ndetailed information to a user who is taking time to make an input utterance, but such assistance is nuisance if the user is merely\r\nconsidering how to answer the prompt. To respond appropriately, the spoken dialog system should be able to consider the user�s\r\ninternal state before the user�s input. Conventional studies on user modeling have focused on the linguistic information of the\r\nutterance for estimating the user�s internal state, but this approach cannot estimate the user�s state until the end of the user�s first\r\nutterance. Therefore, we focused on the user�s nonverbal output such as fillers, silence, or head-moving until the beginning of the\r\ninput utterance. The experimental data was collected on aWizard ofOz basis, and the labels were decided by five evaluators. Finally,\r\nwe conducted a discrimination experiment with the trained user model using combined features. As a three-class discrimination\r\nresult, we obtained about 85% accuracy in an open test....
This paper contributes an intentionally naturalistic methodology using smartphone logging technology to study communications\r\nin the wild. Smartphone logging can provide tremendous access to communications data from real environments. However,\r\nresearchers must consider how it is employed to preserve naturalistic behaviors. Nine considerations are presented to this\r\nend. We also provide a description of a naturalistic logging approach that has been applied successfully to collecting mediated\r\ncommunications from iPhones. The methodology was designed to intentionally decrease reactivity and resulted in data that were\r\nmore accurate than self-reports. Example analyses are also provided to show how data collected can be analyzed to establish\r\nempirical patterns and identify user differences. Smartphone logging technologies offer flexible capabilities to enhance access to\r\nreal communications data, but methodologies employing these techniques must be designed appropriately to avoid provoking\r\nnaturally occurring behaviors. Functionally, this methodology can be applied to establish empirical patterns and test specific\r\nhypotheses within the field of HCI research. Topically, this methodology can be applied to domains interested in understanding\r\nmediated communications such as mobile content and systems design, teamwork, and social networks....
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