Due to progress in affective computing, various forms of general purpose sentiment/emotion recognition software have become available. However, the application of such tools in usability engineering (UE) for measuring the emotional state of participants is rarely employed. We investigate if the application of sentiment/emotion recognition software is beneficial for gathering objective and intuitive data that can predict usability similar to traditional usability metrics. We present the results of a UE project examining this question for the three modalities text, speech and face. We perform a large scale usability test (N = 125) with a counterbalanced within-subject design with two websites of varying usability. We have identified a weak but significant correlation between text-based sentiment analysis on the text acquired via thinking aloud and SUS scores as well as a weak positive correlation between the proportion of neutrality in users’ voice and SUS scores. However, for the majority of the output of emotion recognition software, we could not find any significant results. Emotion metrics could not be used to successfully differentiate between two websites of varying usability. Regression models, either unimodal or multimodal could not predict usability metrics. We discuss reasons for these results and how to continue research with more sophisticated methods.
The route to a successful private equity portfolio is a four‐step process that requires an in‐depth understanding of private equity as an asset class as well as the skills to select promising opportunities from available offerings. The first step is to set out and define general allocation guidelines. These initial guidelines then have to be refined based on the availability of adequate investment opportunities. The third step involves selecting the most attractive funds from a pool of target funds. And lastly the portfolio must be monitored on an ongoing basis to track its overall development as well as its enduring performance. Benchmarking the overall performance of the portfolio as well as individual managers is an integral part of this. In the following sections, each individual step is discussed and explained in more detail. © 2009 Wiley Periodicals, Inc.
The media suggests there is an LBO bubble: too much money is chasing too few deals; increased leverage has increased risk too much and there is an unsustainable private equity bubble forming. We classify a ' bubble ' as an increase in prices of certain goods, a disconnect of prices from any fundamental valuations and a large increase in market participants with many newcomers and unusually high liquidity. Careful examination of the data, however, suggests that there is no LBO bubble forming, but that the unusual LBO activity is driven by an overheated debt market that, in the wake of the collapse of the US subprime market, has seen a correction over the summer. We expect the LBO market to slow and returns net to LPs to migrate to historic long-term averages of about 20 per cent IRR and 1.5 × multiple but continuing to outperform the public markets.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.