scholarly journals Real-world Evaluation of a Novel Technology-enabled Capnometry-assisted Breathing Therapy for Panic Disorder

2020 ◽  
Vol 4 (4) ◽  
pp. 39-46
Author(s):  
Divya Madhusudhan ◽  
Kore Glied ◽  
Eugene Nguyen ◽  
Jennifer Rose ◽  
Dena Bravata
Keyword(s):  
Panic Disorder ◽  
Real World ◽  
Novel Technology ◽  
Breathing Therapy

Effects of Capnometer-Assisted Breathing Therapy on Sleep in Panic Disorder Patients

2009 ◽  
Author(s):  
Sunyoung Kim ◽  
Eileen Wollburg ◽  
Noemi Tesler ◽  
Walton T. Roth
Keyword(s):  
Panic Disorder ◽  
Breathing Therapy

scholarly journals Real-world evaluation of a novel technology for quantitative simultaneous antibody detection against multiple SARS-CoV-2 antigens in a cohort of patients presenting with COVID-19 syndrome

The Analyst ◽  
2020 ◽  
Vol 145 (16) ◽  
pp. 5638-5646 ◽  
Author(s):  
Andrew M. Shaw ◽  
Christopher Hyde ◽  
Blair Merrick ◽  
Philip James-Pemberton ◽  
Bethany K. Squires ◽  
...  
Keyword(s):  
Antibody Response ◽  
Real World ◽  
Antibody Detection ◽  
Igg Antibody ◽  
Novel Technology

An evaluation of a rapid portable gold-nanotechnology measuring SARS-CoV-2 IgM, IgA and IgG antibody response to spike 1 (S1), spike 2 (S) and nucleocapsid (N) antigens using serum from 74 RNA(+) patients and RNA(+) 47 control patients.

Is Driving Automation Used as Intended? Real-World Use of Partially Automated Driving Systems and their Safety Consequences

2021 ◽  
pp. 036119812110271
Author(s):  
Hyungil Kim ◽  
Miao Song ◽  
Zachary Doerzaph
Keyword(s):  
Real World ◽  
Transportation Safety ◽  
Automated Driving ◽  
Driver Assistance Systems ◽  
Secondary Tasks ◽  
Driving Experience ◽  
Novel Technology ◽  
Automation Systems ◽  
Depth Analysis ◽  
Level 2

Advanced driver assistance systems with SAE Level 2 automated capabilities have entered the vehicle marketplace. Such driving automation systems (DASs) have the potential to fundamentally change the driving experience through automated lateral and longitudinal vehicle control. However, drivers may not use DASs as intended because of their misunderstanding of the systems’ capabilities and limitations. Moreover, the real-world use and effects of this novel technology on transportation safety are largely unknown. To investigate driver interactions with driving automation, the study examined existing naturalistic driving data collected from 50 participants who drove personally owned vehicles with Level 2 DASs for 12 months. It was found that 47 out of 235 safety-critical events (SCEs) involved DAS use. An in-depth analysis of 47 SCEs revealed that people misused DASs in 57% of SCEs (e.g., engaged in secondary tasks, used the systems not on highways or with hands off the wheel). During 13% of SCEs, the systems neither reacted to the situation nor warned the driver. A post-study survey showed that the participants found DASs useful and usable. However, the greater the positive attitude toward DAS features, the more participants felt comfortable engaging in secondary tasks. This is a potential unintended side effect of Level 2 DASs given that they still rely on the human driver’s supervision. This study also captured some scenarios where DASs did not meet driver expectations in typical driving situations, such as approaching stopped vehicles and negotiating curves. The findings may inform the development of human-machine interfaces and training programs to reduce the unintended use of DASs and their safety consequences.

scholarly journals Utilization of Self-Diagnosis Health Chatbots in Real-World Settings: Case Study (Preprint)

2020 ◽  
Author(s):  
Xiangmin Fan ◽  
Daren Chao ◽  
Zhan Zhang ◽  
Dakuo Wang ◽  
Xiaohua Li ◽  
...  
Keyword(s):  
Real World ◽  
Social Stigma ◽  
Age Groups ◽  
Heterogeneous Data ◽  
User Engagement ◽  
Patient Centered ◽  
Data Set ◽  
Novel Technology ◽  
Wide Range ◽  
Data Driven Approach

BACKGROUND Artificial intelligence (AI)-driven chatbots are increasingly being used in health care, but most chatbots are designed for a specific population and evaluated in controlled settings. There is little research documenting how health consumers (eg, patients and caregivers) use chatbots for self-diagnosis purposes in real-world scenarios. OBJECTIVE The aim of this research was to understand how health chatbots are used in a real-world context, what issues and barriers exist in their usage, and how the user experience of this novel technology can be improved. METHODS We employed a data-driven approach to analyze the system log of a widely deployed self-diagnosis chatbot in China. Our data set consisted of 47,684 consultation sessions initiated by 16,519 users over 6 months. The log data included a variety of information, including users’ nonidentifiable demographic information, consultation details, diagnostic reports, and user feedback. We conducted both statistical analysis and content analysis on this heterogeneous data set. RESULTS The chatbot users spanned all age groups, including middle-aged and older adults. Users consulted the chatbot on a wide range of medical conditions, including those that often entail considerable privacy and social stigma issues. Furthermore, we distilled 2 prominent issues in the use of the chatbot: (1) a considerable number of users dropped out in the middle of their consultation sessions, and (2) some users pretended to have health concerns and used the chatbot for nontherapeutic purposes. Finally, we identified a set of user concerns regarding the use of the chatbot, including insufficient actionable information and perceived inaccurate diagnostic suggestions. CONCLUSIONS Although health chatbots are considered to be convenient tools for enhancing patient-centered care, there are issues and barriers impeding the optimal use of this novel technology. Designers and developers should employ user-centered approaches to address the issues and user concerns to achieve the best uptake and utilization. We conclude the paper by discussing several design implications, including making the chatbots more informative, easy-to-use, and trustworthy, as well as improving the onboarding experience to enhance user engagement.

Special Issue on Real World Robot Challenge in Tsukuba – Autonomous Technology for Coexistence with Human Beings –

2017 ◽  
Vol 29 (4) ◽  
pp. 629-629 ◽  
Author(s):  
Yoshihiro Takita ◽  
Shin’ichi Yuta ◽  
Takashi Tsubouchi ◽  
Koichi Ozaki
Keyword(s):  
Real World ◽  
Control Method ◽  
Autonomous Robots ◽  
Weather Conditions ◽  
The Novel ◽  
Human Beings ◽  
Special Issue ◽  
Novel Technology ◽  
World Environment ◽  
Autonomous Technology

In this fourth of the “Special Issues on Real World Robot Challenge in Tsukuba,” we feature the control technology of autonomous robots. There is no guarantee that it will operate perfectly in a real-world environment even with the method already revealed. Participating robots in Tsukuba Challenge are required to carry out the assigned tasks under the prevailing weather conditions on the day of the events. Robots avoid oncoming pedestrians and obstacles in their path. In order to share the novel technology of the autonomous control method, this special issue presents a summary of the results of robots that participated in past Tsukuba Challenges. It is only thanks to the ongoing efforts of the organizers of Tsukuba Challenge and the enthusiasm on the part of the participants that we are able to present an issue such as this, and we are truly thankful to them. We also wish to thank the authors who submitted papers and articles for this issue, as well as our reviewers.

scholarly journals Utilization of Self-Diagnosis Health Chatbots in Real-World Settings: Case Study

10.2196/19928 ◽  
2021 ◽  
Vol 23 (1) ◽  
pp. e19928
Author(s):  
Xiangmin Fan ◽  
Daren Chao ◽  
Zhan Zhang ◽  
Dakuo Wang ◽  
Xiaohua Li ◽  
...  
Keyword(s):  
Real World ◽  
Social Stigma ◽  
Age Groups ◽  
Heterogeneous Data ◽  
User Engagement ◽  
Patient Centered ◽  
Data Set ◽  
Novel Technology ◽  
Wide Range ◽  
Data Driven Approach

Background Artificial intelligence (AI)-driven chatbots are increasingly being used in health care, but most chatbots are designed for a specific population and evaluated in controlled settings. There is little research documenting how health consumers (eg, patients and caregivers) use chatbots for self-diagnosis purposes in real-world scenarios. Objective The aim of this research was to understand how health chatbots are used in a real-world context, what issues and barriers exist in their usage, and how the user experience of this novel technology can be improved. Methods We employed a data-driven approach to analyze the system log of a widely deployed self-diagnosis chatbot in China. Our data set consisted of 47,684 consultation sessions initiated by 16,519 users over 6 months. The log data included a variety of information, including users’ nonidentifiable demographic information, consultation details, diagnostic reports, and user feedback. We conducted both statistical analysis and content analysis on this heterogeneous data set. Results The chatbot users spanned all age groups, including middle-aged and older adults. Users consulted the chatbot on a wide range of medical conditions, including those that often entail considerable privacy and social stigma issues. Furthermore, we distilled 2 prominent issues in the use of the chatbot: (1) a considerable number of users dropped out in the middle of their consultation sessions, and (2) some users pretended to have health concerns and used the chatbot for nontherapeutic purposes. Finally, we identified a set of user concerns regarding the use of the chatbot, including insufficient actionable information and perceived inaccurate diagnostic suggestions. Conclusions Although health chatbots are considered to be convenient tools for enhancing patient-centered care, there are issues and barriers impeding the optimal use of this novel technology. Designers and developers should employ user-centered approaches to address the issues and user concerns to achieve the best uptake and utilization. We conclude the paper by discussing several design implications, including making the chatbots more informative, easy-to-use, and trustworthy, as well as improving the onboarding experience to enhance user engagement.

Comparative Analysis and Experimental Verification of the Computed Shape of a Flexible Blade Tool for FF-TLOM

2000 ◽  
Author(s):  
Bram de Smit ◽  
Anthony J. Medland ◽  
Johan J. Broek ◽  
Imre Horváth ◽  
Alex F. Lennings
Keyword(s):  
Comparative Analysis ◽  
Process Parameters ◽  
Real World ◽  
Experimental Verification ◽  
Cutting Process ◽  
Free Form ◽  
Small Deviations ◽  
Novel Technology ◽  
The Subject

Abstract A novel technology introduced by the authors as free form thick layered object manufacturing (FF-TLOM), aims specifically at the field of large sized free form objects. The system under development will be able to produce large editable free form prototypes that can be used in the conceptual phase of the design. The considered technology of cutting polystyrene slabs using a heated flexible cutting blade is developed and currently being optimized. Work has been done already on the control of the actual cutting process by elaborating experiments on a range of influential process parameters. A further step is the accurate control of the shape of the flexible cutting device. Theories are known for the calculation of the shape of a flexible bar under specific constraints. The known theories and algorithms must be validated by experimental verification. The paper describes explorative experiments with the aim to develop a method that can be used for this experimental verification. Two implemented algorithms for the calculation of blade shapes are described as well as a number of calculations that were performed using these algorithms. The calculated results are being compared to each other and to real world experiments in order to determine their validity. The results of the experiments indicate that both of the algorithms could be applied for our shape calculations, however more experiments and analysis have to be performed on the subject. It becomes clear that small deviations in the applied constraints can, under specific circumstances, have large effects on the generated blade shapes.

Replications can cause distorted belief in scientific progress

2018 ◽  
Vol 41 ◽  
Author(s):  
Michał Białek
Keyword(s):  
Real World ◽  
Scientific Progress ◽  
The Public ◽  
Psychological Science

AbstractIf we want psychological science to have a meaningful real-world impact, it has to be trusted by the public. Scientific progress is noisy; accordingly, replications sometimes fail even for true findings. We need to communicate the acceptability of uncertainty to the public and our peers, to prevent psychology from being perceived as having nothing to say about reality.

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