Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Cycloaddition Reactions: MO Requirements for Thermal Activation01:16

Cycloaddition Reactions: MO Requirements for Thermal Activation

4.6K
Thermal cycloadditions are reactions where the source of activation energy needed to initiate the reaction is provided in the form of heat. A typical example of a thermally-allowed cycloaddition is the Diels–Alder reaction, which is a [4 + 2] cycloaddition. In contrast, a [2 + 2] cycloaddition is thermally forbidden.
4.6K
Cycloaddition Reactions: MO Requirements for Photochemical Activation01:12

Cycloaddition Reactions: MO Requirements for Photochemical Activation

2.7K
Some cycloaddition reactions are activated by heat, while others are initiated by light. For example, a [2 + 2] cycloaddition between two ethylene molecules occurs only in the presence of light. It is photochemically allowed but thermally forbidden.
2.7K
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

258
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
258
Ethical Issues01:27

Ethical Issues

2.2K
Nurses are essential in patient care, upholding the ethical principles of their profession and effectively navigating ethical dilemmas. Neglecting ethical issues can lead to inadequate patient care, compromised therapeutic relationships, and moral distress among healthcare workers.
Ethical Concerns in Healthcare:
2.2K
Requirements for Human Life01:26

Requirements for Human Life

13.9K
The Earth and its atmosphere have provided humans with air, water, and food, but these are not the only requirements for survival. Humans also require a specific range of temperature and pressure that the Earth and its atmosphere provides.
Oxygen
Atmospheric air is only about 20 percent oxygen, but that oxygen is a key component of the chemical reactions that keep the body alive, including the reactions that produce ATP. Brain cells are susceptible to a lack of oxygen because they require a...
13.9K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

6.3K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
6.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A Distributed Oracle Using Intel SGX for Blockchain-Based IoT Applications.

Sensors (Basel, Switzerland)·2020
Same author

A Cloud-based Middleware for Self-Adaptive IoT-Collaboration Services.

Sensors (Basel, Switzerland)·2019
Same author

An Architecture Framework for Orchestrating Context-Aware IT Ecosystems: A Case Study for Quantitative Evaluation <sup>†</sup>.

Sensors (Basel, Switzerland)·2018
See all related articles

Related Experiment Video

Updated: Feb 5, 2026

High-throughput Image Analysis of Tumor Spheroids: A User-friendly Software Application to Measure the Size of Spheroids Automatically and Accurately
08:39

High-throughput Image Analysis of Tumor Spheroids: A User-friendly Software Application to Measure the Size of Spheroids Automatically and Accurately

Published on: July 8, 2014

25.9K

An Automatic User Activity Analysis Method for Discovering Latent Requirements: Usability Issue Detection on Mobile

Soojin Park1, Sungyong Park2, Kyeongwook Ma3

  • 1Graduate School of Management of Technology, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Korea. psjdream@sogang.ac.kr.

Sensors (Basel, Switzerland)
|September 8, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces an automated method for detecting quality issues in Internet of Things (IoT) systems by analyzing user activity models. Resolving detected symptoms improved mobile application usage success rates by 21%.

Keywords:
activity modelingcontext-awarenessinternet of thingsmobile applicationself-adaptive systemsusability

More Related Videos

Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study
05:43

Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study

Published on: November 30, 2022

3.0K
Comparative Analysis of Automatic Fecal Analyzer versus Direct Wet Smear Microscopy for Detecting Parasitic Infections in Stool Samples
04:57

Comparative Analysis of Automatic Fecal Analyzer versus Direct Wet Smear Microscopy for Detecting Parasitic Infections in Stool Samples

Published on: April 25, 2025

1.1K

Related Experiment Videos

Last Updated: Feb 5, 2026

High-throughput Image Analysis of Tumor Spheroids: A User-friendly Software Application to Measure the Size of Spheroids Automatically and Accurately
08:39

High-throughput Image Analysis of Tumor Spheroids: A User-friendly Software Application to Measure the Size of Spheroids Automatically and Accurately

Published on: July 8, 2014

25.9K
Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study
05:43

Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study

Published on: November 30, 2022

3.0K
Comparative Analysis of Automatic Fecal Analyzer versus Direct Wet Smear Microscopy for Detecting Parasitic Infections in Stool Samples
04:57

Comparative Analysis of Automatic Fecal Analyzer versus Direct Wet Smear Microscopy for Detecting Parasitic Infections in Stool Samples

Published on: April 25, 2025

1.1K

Area of Science:

  • Computer Science
  • Software Engineering

Background:

  • The rise of the Internet of Things (IoT) necessitates systems capable of self-diagnosing quality attributes.
  • Autonomic devices require methods to ensure the quality of services they provide through collaboration.

Purpose of the Study:

  • To propose and evaluate a method for automatically detecting symptoms that degrade system quality attributes.
  • To enhance the reliability and user experience of mobile applications within the IoT ecosystem.

Main Methods:

  • Automatic generation of user activity models from real usage logs.
  • Merging multiple user activity models into a representative model.
  • Detecting deviations between representative and expected activity models to identify quality-hindering symptoms.
  • Implementation within a domain-independent framework for the Android platform.

Main Results:

  • The proposed method achieved an average precision rate of 70% for automatic symptom detection.
  • Resolving automatically detected symptoms led to an approximate 21% improvement in user implementation success rates for usage scenarios.
  • Quantitative evaluation across five open-source Android applications validated the method's effectiveness.

Conclusions:

  • The developed method offers an effective approach for automated quality attribute diagnosis in IoT systems.
  • The framework's domain-independent nature and Android platform compatibility enhance its practical applicability.
  • Automated symptom detection significantly improves the success rate of user interactions with mobile applications.