81 research outputs found
Toward a mixed-initiative QA system: from studying predictors in Stack Exchange to building a mixed-initiative tool
No full textThis article envisions a new customer support solution that merges the efficiency of crowd-based Question and Answer (QA) sites with the effectiveness of traditional customer care services. QA sites use crowdsourcing to solve problems in a very efficient way and they represent a new approach that can compete with traditional customer support services. Despite the remarkable efficiency of popular QA sites, if a question is not solved almost immediately, the chances are that it will not be solved soon or perhaps ever. This article provides evidence of a consistent Dark Side, a group of questions that remain unsatisfied or are satisfied very late, in eight popular QA sites on Stack Exchange. About 25-30% of all the questions in these sites fall into this Dark Side group. The findings show that predicting if a question will end up in the Dark Side is feasible, although with some approximation, without relying on content features. On the basis of this evidence, the article first presents and tests a model to predict the Dark Side and then presents a proof-of-concept of a mixed-initiative tool that helps a crowd-manager to decide whether an incoming question will be solved by the crowd or it should be redirected to a dedicated operator. Multiple evaluations of the proposed tool are reported. Finally, it concludes with lessons for the design and management of future QA platforms.IINFCO
Application of acute maximal exercise to protect orthostatic tolerance after simulated microgravity
No full text Pages R837–R847: K. A. Engelke, D. F. Doerr, and V. A. Convertino. “Application of acute maximal exercise to protect orthostatic tolerance after simulated microgravity.” On p. 837, the author line of the article and abstract and the affiliation line should read as follows: KEITH A. ENGELKE, DONALD F. DOERR, CRAIG G. CRANDALL, AND VICTOR A. CONVERTINO Department of Physiology, University of Florida, Gainesville, Florida 32610; National Aeronautics and Space Administration-Kennedy Space Center, Cape Canaveral, Florida 32899; Department of Physiology, University of North Texas Health Science Center, Ft. Worth, Texas 76107; and Physiology Research Branch, Clinical Science Division, Brooks Air Force Base, Texas 78235 </jats:p
Convertino et al. Interpreting Scenarios from an IS Perspective ABSTRACT Interpreting Scenario-Based Design from an Information Systems Perspective
No full textTo facilitate the evolution of and to better understand human centered technology development in context of business, managerial, organizational, and cultural contexts, the study of HCI in the MIS discipline is becoming increasingly important. In this paper, we attempt to conflate analytical and design methodologies from the Information Systems and Human Computer Interaction literature. HCI literature acknowledges that people will generally envision scenarios in different ways based on implicit assumptions that orient their interpretations. These assumptions can lead to different design consequences. We propose the use of scenario metadata with scenarios as a method for making these assumptions explicit so that stakeholders, including designers, are more aware of their design assumptions. We structure scenario metadata by leveraging three major constructs from the Information Systems literature: technology, information, and people
Application of acute maximal exercise to protect orthostatic tolerance after simulated microgravity
No full text Pages R837–R847: K. A. Engelke, D. F. Doerr, and V. A. Convertino. “Application of acute maximal exercise to protect orthostatic tolerance after simulated microgravity.” On p. 837, the author line of the article and abstract and the affiliation line should read as follows: KEITH A. ENGELKE, DONALD F. DOERR,CRAIG G. CRANDALL, AND VICTOR A. CONVERTINO Department of Physiology, University of Florida, Gainesville, Florida 32610; National Aeronautics and Space Administration-Kennedy Space Center, Cape Canaveral, Florida 32899;Department of Physiology, University of North Texas Health Science Center, Ft. Worth, Texas 76107; and Physiology Research Branch, Clinical Science Division, Brooks Air Force Base, Texas 78235 </jats:p
Towards Crowd-based Customer Service: A Mixed-Initiative Tool for Managing Q&A Sites
No full textIn this paper, we propose a mixed-initiative approach to integrate a Q&A site based on a crowd of volunteers with a standard operator-based help desk, ensuring quality of customer service. Q&A sites have emerged as an efficient way to address questions in various domains by leveraging crowd knowledge. However, they lack sufficient reliability to be the sole basis of customer service applications. We built a proof-of-concept mixed-initiative tool that helps a crowd-manager to decide if a question will get a satisfactory and timely answer by the crowd or if it should be redirected to a dedicated operator. A user experiment found that our tool reduced the participants’ cognitive load and improved their performance, in terms of their precision and recall. In particular, those with higher performance benefited more than those with lower performance
An embarrassment of riches
No full textOpen innovation systems have provided organizations, ranging from businesses and governments to universities and NGOs, with unprecedented access to the "wisdom of the crowd", allowing them to collect candidate solutions, for problems they care about, from potentially thousands of individuals, at very low cost. These systems, however, face important open challenges deriving, ironically, from their very success: they can elicit such huge levels of participation that it becomes very difficult to guide the crowd in productive ways, and pick out the best of what they have created. This viewpoint article reviews the key challenges facing open innovation systems and issues a call-to-arms describing how the research community can move forward on this important topic
A Multi-Method Approach to UX Requirements : Adapting to Agile & Lean Development
No full textAgile and lean development projects are becoming a common practice among software development teams in industry. This new context poses adaptation challenges for traditional UX requirements methods. This paper summarizes a case study on coordinating multiple methods for requirements specification and validation during agile and lean development. In particular, it identifies four specific challenges, presents a commented list of the UX methods used with their benefits, and finally presents a few lessons learned on ways to orchestrate multiple UX methods as part of a program of research that runs along the development lifecycle. The 20-month development project here presented as context for such methods delivered Informatica Rev, an innovative software tool for data analytics by business users
Why agile teams fail without UX research
No full textFailures to involve end users or to collect comprehensive data representing user needs are described and solutions to avoid such failures are proposed.</jats:p
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