CVE technology development based an real world application and user needs

2002 ◽  
Author(s):  
E. Daphne ◽  
M.L. William ◽  
P.R. Steve ◽  
W.J. Adrian
Keyword(s):  
Real World ◽  
Technology Development ◽  
User Needs ◽  
Real World Application

scholarly journals Robot-Mediated interviews with Children

2016 ◽  
Vol 17 (3) ◽  
pp. 438-460 ◽  
Author(s):  
Luke Jai Wood ◽  
Hagen Lehmann ◽  
Kerstin Dautenhahn ◽  
Ben Robins ◽  
Austen Rainer ◽  
...  
Keyword(s):  
Real World ◽  
Police Officers ◽  
Technology Development ◽  
Current System ◽  
Future Research ◽  
User Needs ◽  
Robot Interaction ◽  
Real World Setting ◽  
User Groups

Abstract To date research investigating the potential of Robot-Mediated Interviews (RMI) has focused on establishing how children respond to robots in an interview scenario. In order to test if an RMI approach would work in a real world setting, it is important to establish what the experts (e.g. specialist child interviewers) would require from such a system. To determine the needs of such expert users we conducted three user panels with groups of potential real world users to gather their views of our current system and find out what they would require for the system to be useful to them. The user groups consisted of specialist police officers, intermediaries, educational specialists and healthcare specialists. To our knowledge this is the first article investigating user needs for Robot-Mediated Interviews. Due to the novelty of this area, the work presented in this paper is exploratory in nature. The results provide valuable insights into what real world users would need from a Robot-Mediated Interviewing system. Our findings will contribute to future research and technology development in the domain of RMI in particular, and child-robot interaction in general.

Real-World Application of the EI Leadership Model: Working With Worldviews in a Medical Organization

2012 ◽  
Author(s):  
Kelly Dyjak Leblanc ◽  
Caitlin Femac ◽  
Craig N. Shealy ◽  
Renee Staton ◽  
Lee G. Sternberger
Keyword(s):  
Real World ◽  
Medical Organization ◽  
Leadership Model ◽  
Real World Application

The Design, Implementation and Use of Web-Technologies to Facilitate Knowledge Sharing: A `Real-World' Application

2002 ◽  
Author(s):  
Janel H. Rogers ◽  
Heather M. Ooak ◽  
Ronald A. Moorre ◽  
M. G. Averett ◽  
Jeffrey G. Morrison
Keyword(s):  
Knowledge Sharing ◽  
Real World ◽  
Web Technologies ◽  
Real World Application

Face Detection for Real World Application

2021 ◽  
Author(s):  
Dilpreet Singh Brar ◽  
Amit Kumar ◽  
Pallavi ◽  
Usha Mittal ◽  
Pooja Rana
Keyword(s):  
Face Detection ◽  
Real World ◽  
Real World Application

scholarly journals Method for Viewing Real-World Scenes while Recording Video

2021 ◽  
Vol 11 (10) ◽  
pp. 4617
Author(s):  
Daehee Park ◽  
Cheoljun Lee
Keyword(s):  
Real World ◽  
Video Recording ◽  
Emotional Responses ◽  
Target Object ◽  
Error Rates ◽  
User Needs ◽  
High Quality ◽  
Gradient Algorithms ◽  
Squared Error

Because smartphones support various functions, they are carried by users everywhere. Whenever a user believes that a moment is interesting, important, or meaningful to them, they can record a video to preserve such memories. The main problem with video recording an important moment is the fact that the user needs to look at the scene through the mobile phone screen rather than seeing the actual real-world event. This occurs owing to uncertainty the user might feel when recording the video. For example, the user might not be sure if the recording is of high-quality and might worry about missing the target object. To overcome this, we developed a new camera application that utilizes two main algorithms, the minimum output sum of squared error and the histograms of oriented gradient algorithms, to track the target object and recognize the direction of the user’s head. We assumed that the functions of the new camera application can solve the user’s anxiety while recording a video. To test the effectiveness of the proposed application, we conducted a case study and measured the emotional responses of users and the error rates based on a comparison with the use of a regular camera application. The results indicate that the new camera application induces greater feelings of pleasure, excitement, and independence than a regular camera application. Furthermore, it effectively reduces the error rates during video recording.

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