Learning About Meetings

Most people participate in meetings almost every day, multiple times a day. The study of meetings is important, but also challenging, as it requires an understanding of social signals and complex interpersonal dynamics. Our aim this work is to use a data-driven approach to the science of meetings. We provide tentative evidence that: i) it is possible to automatically detect when during the meeting a key decision is taking place, from analyzing only the local dialogue acts, ii) there are common patterns in the way social dialogue acts are interspersed throughout a meeting, iii) at the time key decisions are made, the amount of time left in the meeting can be predicted from the amount of time that has passed, iv) it is often possible to predict whether a proposal during a meeting will be accepted or rejected based entirely on the language (the set of persuasive words) used by the speaker

Sticky information and sticky prices

In the U.S. and Europe, prices change somewhere between every six months and once a year. Yet nominal macro shocks seem to have real effects lasting well beyond a year. "Sticky information" models, as posited by Sims (2003), Woodford (2003), and Mankiw and Reis (2002), can reconcile micro flexibility with macro rigidity. We simulate a sticky information model in which price setters do not update their information on macro shocks as often as they update their information on micro shocks. Compared to a standard menu cost model, price changes in this model reflect older macro shocks. We then examine price changes in the micro data underlying the U.S. CPI. These price changes do not reflect older information, thereby exhibiting a similar response to that of the standard menu cost model. However, the empirical test hinges on staggered information updating across firms; it cannot distinguish between a full information model and a model where firms have equally old information.Prices

A Review on Adaptive Menus

Intelligent User Interface (IUI) is an emerging interdisciplinary research area that focuses on improving the usability of existing user interfaces. Adaptive menus are the part of the IUI that is trying to improve existing menus' usability by reducing the selection time. This paper surveys the most relevant studies that are carried out in this field. First, it introduces Adaptive User Interface (AUI) and adaptive menus then describe various adaptation styles and adaptation policies that are being used in adaptive menus along with their benefits and drawbacks. It then lists the applications of adaptive systems and how they can be used, as well as the limitations and future direction of the work. Keywords: IUI (Intelligent UI), Adaptive UI, Adaptive Menus DOI: 10.7176/CTI/11-01 Publication date:October 31st 202

HiRel: Hybrid Automated Reliability Predictor (HARP) integrated reliability tool system, (version 7.0). Volume 3: HARP Graphics Oriented (GO) input user's guide

The Hybrid Automated Reliability Predictor (HARP) integrated Reliability (HiRel) tool system for reliability/availability prediction offers a toolbox of integrated reliability/availability programs that can be used to customize the user's application in a workstation or nonworkstation environment. HiRel consists of interactive graphical input/output programs and four reliability/availability modeling engines that provide analytical and simulative solutions to a wide host of highly reliable fault-tolerant system architectures and is also applicable to electronic systems in general. The tool system was designed at the outset to be compatible with most computing platforms and operating systems, and some programs have been beta tested within the aerospace community for over 8 years. This document is a user's guide for the HiRel graphical preprocessor Graphics Oriented (GO) program. GO is a graphical user interface for the HARP engine that enables the drawing of reliability/availability models on a monitor. A mouse is used to select fault tree gates or Markov graphical symbols from a menu for drawing