Crowd buzz: scalable audio communication for MMVEs using latency optimized hypercube gossiping

2011 ◽  
Author(s):  
Philipp Berndt ◽  
Matthias Hovestadt ◽  
Odej Kao
Keyword(s):  
Audio Communication

scholarly journals Transporting Children in Autonomous Vehicles: An Exploratory Study

2019 ◽  
Vol 62 (2) ◽  
pp. 278-287 ◽  
Author(s):  
Patrice D. Tremoulet ◽  
Thomas Seacrist ◽  
Chelsea Ward McIntosh ◽  
Helen Loeb ◽  
Anna DiPietro ◽  
...  
Keyword(s):  
Extracurricular Activities ◽  
Autonomous Vehicles ◽  
Driving Simulator ◽  
Autonomous Vehicle ◽  
Remote Access ◽  
Unaccompanied Children ◽  
Potential Applications ◽  
Minimum Age ◽  
Audio Communication ◽  
Vehicle Information

Objective Identify factors that impact parents’ decisions about allowing an unaccompanied child to ride in an autonomous vehicle (AV). Background AVs are being tested in several U.S. cities and on highways in multiple states. Meanwhile, suburban parents are using ridesharing services to shuttle children from school to extracurricular activities. Parents may soon be able to hire AVs to transport children. Method Nineteen parents of 8- to 16-year-old children, and some of their children, rode in a driving simulator in autonomous mode, then were interviewed. Parents also participated in focus groups. Topics included minimum age for solo child passengers, types of trips unaccompanied children might take, and vehicle features needed to support child passengers. Results Parents would require two-way audio communication and prefer video feeds of vehicle interiors, seatbelt checks, automatic locking, secure passenger identification, and remote access to vehicle information. Parents cited convenience as the greatest benefit and fear that AVs could not protect passengers during unplanned trip interruptions as their greatest concern. Conclusion Manufacturers have an opportunity to design family-friendly AVs from the outset, rather than retrofit them to be safe for child passengers. More research, especially usability studies where families interact with technology prototypes, is needed to understand how AV design impacts child passengers. Application Potential applications of this research include not only designing vehicles that can be used to safely transport children, seniors who no longer drive, and individuals with disabilities but also developing regulations, policies, and societal infrastructure to support safe child transport via AVs.

scholarly journals Mobile Application Design Emergency Medical Call for the Deaf using UCD Method

2018 ◽  
Vol 12 (3) ◽  
pp. 168 ◽  
Author(s):  
Risald Risald ◽  
Suyoto Suyoto ◽  
Albertus Joko Santoso
Keyword(s):  
Hearing Loss ◽  
Emergency Situation ◽  
Emergency Call ◽  
Medical Emergency ◽  
Deaf People ◽  
User Centered Design ◽  
Emergency Situations ◽  
The People ◽  
Emergency Event ◽  
Audio Communication

<p>Deaf or hearing loss is a condition of inability to hear something, either totally or partially. Hearing loss greatly affects the life of a person in communicating with the people around him. Deaf people will be very difficult when in a medical emergency, this is because the medical emergency situation requires fast action.</p><p>          The Healthy Phone application is a mobile medical emergency call application that can help people with hearing impaired when in emergency situations. With the Healthy Phone application, the user only needs to select an icon that suits the situation encountered in touchscreen mobile device then the message will be sent to the nearest hospital.</p>                To search for icons corresponding to emergencies, the User Centered Design (UCD) method is used. This application is very helpful for deaf people because this application does not require audio communication and user location is also sent automatically to the nearest hospital. The results were analyzed using four emergency event scenarios with a total score of 87% and an average user time of less than 0:42 sec indicating that the study was successful in designing a mobile medical emergency call application according to user requirements.

scholarly journals Spoken words as biomarkers: using machine learning to gain insight into communication as a predictor of anxiety

2020 ◽  
Vol 27 (6) ◽  
pp. 929-933
Author(s):  
George Demiris ◽  
Kristin L Corey Magan ◽  
Debra Parker Oliver ◽  
Karla T Washington ◽  
Chad Chadwick ◽  
...  
Keyword(s):  
Machine Learning ◽  
Secondary Data ◽  
Health Indicators ◽  
Machine Learning Algorithms ◽  
Standardized Assessments ◽  
Learning Tools ◽  
Data Set ◽  
Problem Solving Therapy ◽  
Audio Communication ◽  
The Impact

Abstract Objective The goal of this study was to explore whether features of recorded and transcribed audio communication data extracted by machine learning algorithms can be used to train a classifier for anxiety. Materials and Methods We used a secondary data set generated by a clinical trial examining problem-solving therapy for hospice caregivers consisting of 140 transcripts of multiple, sequential conversations between an interviewer and a family caregiver along with standardized assessments of anxiety prior to each session; 98 of these transcripts (70%) served as the training set, holding the remaining 30% of the data for evaluation. Results A classifier for anxiety was developed relying on language-based features. An 86% precision, 78% recall, 81% accuracy, and 84% specificity were achieved with the use of the trained classifiers. High anxiety inflections were found among recently bereaved caregivers and were usually connected to issues related to transitioning out of the caregiving role. This analysis highlighted the impact of lowering anxiety by increasing reciprocity between interviewers and caregivers. Conclusion Verbal communication can provide a platform for machine learning tools to highlight and predict behavioral health indicators and trends.

Issues of Dependence and Reliance on Technological Advancement: Examples from American Football and Air Traffic Control

1995 ◽  
Vol 39 (18) ◽  
pp. 1194-1198 ◽  
Author(s):  
Barrett S. Caldwell ◽  
Nick C. Everhart ◽  
Piyusha Paradkar ◽  
Hyun-Suk Suh
Keyword(s):  
Traffic Control ◽  
Air Traffic Control ◽  
New Technologies ◽  
New Technology ◽  
Air Traffic ◽  
American Football ◽  
Auditory Signal ◽  
Technological Advancement ◽  
Innovative Thinking ◽  
Audio Communication

This paper addresses aspects of dependence and reliance on new technologies, using American football and air traffic control as examples. Football has developed an audio communication system between the coach and quarterback in a hostile environment (auditory signal in a noisy stadium). Should technological breakdown occur, performance could suffer if the users are not proficient with backup systems (hand signals transmitted from the sideline). Dependence on technology takes a more serious form in air traffic control, as thousands of lives depend on technology performing as expected. Backup systems exist, but suffer from the same weaknesses as the existing system and cannot handle the volume of system activity. The possibility of technological failure needs to be considered before implementing and relying on new systems, and can often be mediated by careful and innovative thinking before new technology is adopted.

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