Instant Messaging Moves from the Home to the Office

2005 ◽  
pp. 1540-1544
Author(s):  
Ha Sung Hwang ◽  
Concetta M. Stewart
Keyword(s):  
Instant Messaging ◽  
Internet Protocol ◽  
End Users ◽  
Text Messages ◽  
Long Distance ◽  
Short Text ◽  
Instant Messenger ◽  
At Home

Instant messaging (IM) quickly established itself as one of the most popular modes of communication, with millions of people logging in at home, at the workplace, and at school. IM is an Internet protocol (IP)-based application that provides convenient communication between people using a variety of different device types. IM enables two people to exchange messages and hold simultaneous conversations without incurring long distance fees, as long as they use the same IM application. While corporate users employ proprietary systems, end users have several commercial services available to them, such as AOL Instant Messenger and Yahoo! Instant Messenger. With IM, users can exchange short text messages simultaneously as well as learn the online status of other users. This is IM’s key feature.

scholarly journals WhatsApp, Viber and Telegram which is Best for Instant Messaging?

2016 ◽  
Vol 6 (3) ◽  
pp. 909 ◽  
Author(s):  
Tole Sutikno ◽  
Lina Handayani ◽  
Deris Stiawan ◽  
Munawar Agus Riyadi ◽  
Imam Much Ibnu Subroto
Keyword(s):  
Instant Messaging ◽  
Text Messages ◽  
Phone Call ◽  
Video Sharing ◽  
Phone Calls ◽  
The World ◽  
Instant Messenger ◽  
The Moment ◽  
Selling Point ◽  
Google Play

<p>There are many free instant messengers available now which allow to communicate with friends with text, phone call, video, sharing of files, in group or not and keep contact with them even internationally. But only very few of the instant messengers have gained a popularity and attention. Recent studies have shown that the most popular instant messengers are WhatsApp, Viber and Telegram. Even, Facebook acquired WhatsApp due to have huge users. Viber is another messenger with many integrated features that allows the phone calls and sends the text messages for free and there is no subscription like WhatsApp. While Telegram offers the users an open-source platform with no ads, a clean fast interface, asks for no payments whatsoever and the biggest selling point is security. WhatsApp, Viber and Telegram which instant messenger is best? The popularity of Telegram has reached at the top of Google play store and become the most downloaded messaging app in the world today. But at the moment WhatsApp is still the winner!</p>

WhatsApp, Viber and Telegram which is Best for Instant Messaging?

2016 ◽  
Vol 6 (3) ◽  
pp. 909 ◽  
Author(s):  
Tole Sutikno ◽  
Lina Handayani ◽  
Deris Stiawan ◽  
Munawar Agus Riyadi ◽  
Imam Much Ibnu Subroto
Keyword(s):  
Instant Messaging ◽  
Text Messages ◽  
Phone Call ◽  
Video Sharing ◽  
Phone Calls ◽  
The World ◽  
Instant Messenger ◽  
The Moment ◽  
Selling Point ◽  
Google Play

<p>There are many free instant messengers available now which allow to communicate with friends with text, phone call, video, sharing of files, in group or not and keep contact with them even internationally. But only very few of the instant messengers have gained a popularity and attention. Recent studies have shown that the most popular instant messengers are WhatsApp, Viber and Telegram. Even, Facebook acquired WhatsApp due to have huge users. Viber is another messenger with many integrated features that allows the phone calls and sends the text messages for free and there is no subscription like WhatsApp. While Telegram offers the users an open-source platform with no ads, a clean fast interface, asks for no payments whatsoever and the biggest selling point is security. WhatsApp, Viber and Telegram which instant messenger is best? The popularity of Telegram has reached at the top of Google play store and become the most downloaded messaging app in the world today. But at the moment WhatsApp is still the winner!</p>

scholarly journals THE ROLE OF MOBILE INSTANT MESSENGER AS SUPPORTIVE PLATFORM FOR MEDICAL CAREER INTERVENTION

2021 ◽  
Vol 10 (1) ◽  
pp. 99
Author(s):  
Rizma Adlia Syakurah ◽  
Yayi Suryo Prabandari ◽  
Doni Widyandana ◽  
Amitya Kumara
Keyword(s):  
Medical Students ◽  
Role Model ◽  
Instant Messaging ◽  
Academic Career ◽  
Text Messages ◽  
Career Intervention ◽  
Career Information ◽  
Instant Messenger ◽  
Medical Career

Background: Career intervention in medical students is an activity meant to increase awareness and early exposure on various medical careers. Utilization of technology as a support to career intervention model offers a novel approach that might optimize the exposure and quality of the intervention and can be developed as a safe and non-judgemental environment for the students to talk about career-related topics. Aims: This study aimed to determine the use of mobile instant messenger as a supportive tool for medical career intervention. Learning Media Review: LineTM is a mobile instant messenger platform that is used to communicate and send messages using the internet. This platform provides voice and video calls, text messages, polls, and other features such as: stickers, photos, videos, voice messages, and location. These features can be accessed free of charge by users. This article uses discussion and participatory observation methods for three weeks. Thirty six (n=36) first-year medical students that were joining a career introduction course were placed into on online group, a LineTM group, led by two facilitators to guide their daily discussion. The responses are voluntary and they were encouraged to express themselves freely without any topic restriction whatsoever throughout the sessions. Online transcripts were then coded according to recurring topics and themes that came up during their discussions. Eight themes were identified from the discussion and categorised into three: 3 major categories, 2 intermediate and 3 minor. Major themes identified were role model, non-academic career information, and clinical clerkship. This study show maximum engagement of 26 participants on first day with maximum discussion length in one topic of three hours during career-related topics. Conclusion: Mobile instant messaging is considered useful in supporting a medical career intervention, especially in providing career information and carrying a momentum for career-related discussion. It is further stated that the role of online facilitator as a peer mentor is major in providing quality discussion, a safe environment, and accurate source of information to the students.

Solving the Message Classification Problem in Voice Interaction Systems

Vestnik MEI ◽  
2020 ◽  
Vol 5 (5) ◽  
pp. 132-139
Author(s):  
Ivan E. Kurilenko ◽  
◽  
Igor E. Nikonov ◽  
Keyword(s):  
Artificial Intelligence ◽  
Classification Problem ◽  
Subject Area ◽  
Text Messages ◽  
Case Based Reasoning ◽  
Short Text ◽  
Proposed Modification ◽  
Voice Interaction ◽  
Text Content ◽  
Case Based

A method for solving the problem of classifying short-text messages in the form of sentences of customers uttered in talking via the telephone line of organizations is considered. To solve this problem, a classifier was developed, which is based on using a combination of two methods: a description of the subject area in the form of a hierarchy of entities and plausible reasoning based on the case-based reasoning approach, which is actively used in artificial intelligence systems. In solving various problems of artificial intelligence-based analysis of data, these methods have shown a high degree of efficiency, scalability, and independence from data structure. As part of using the case-based reasoning approach in the classifier, it is proposed to modify the TF-IDF (Term Frequency - Inverse Document Frequency) measure of assessing the text content taking into account known information about the distribution of documents by topics. The proposed modification makes it possible to improve the classification quality in comparison with classical measures, since it takes into account the information about the distribution of words not only in a separate document or topic, but in the entire database of cases. Experimental results are presented that confirm the effectiveness of the proposed metric and the developed classifier as applied to classification of customer sentences and providing them with the necessary information depending on the classification result. The developed text classification service prototype is used as part of the voice interaction module with the user in the objective of robotizing the telephone call routing system and making a shift from interaction between the user and system by means of buttons to their interaction through voice.

scholarly journals Quit Experiences among Primary Care Patients Enrolled in a Smoking Cessation Pilot RCT Early in the COVID-19 Pandemic

2021 ◽  
Vol 18 (3) ◽  
pp. 1011
Author(s):  
Andrea A. Joyce ◽  
Grace M. Styklunas ◽  
Nancy A. Rigotti ◽  
Jordan M. Neil ◽  
Elyse R. Park ◽  
...  
Keyword(s):  
Primary Care ◽  
Text Messaging ◽  
Risk Perceptions ◽  
Environmental Changes ◽  
Age Groups ◽  
Text Messages ◽  
Increased Risk ◽  
Primary Care Patients ◽  
The Impact ◽  
At Home

The impact of the COVID-19 pandemic on US adults’ smoking and quitting behaviors is unclear. We explored the impact of COVID-19 on smoking behaviors, risk perceptions, and reactions to text messages during a statewide stay-at-home advisory among primary care patients who were trying to quit. From May–June 2020, we interviewed smokers enrolled in a 12-week, pilot cessation trial providing text messaging and mailed nicotine replacement medication (NCT04020718). Twenty-two individuals (82% white, mean age 55 years), representing 88% of trial participants during the stay-at-home advisory, completed exit interviews; four (18%) of them reported abstinence. Interviews were thematically analyzed by two coders. COVID-19-induced environmental changes had mixed effects, facilitating quitting for some and impeding quitting for others. While stress increased for many, those who quit found ways to cope with stress. Generally, participants felt at risk for COVID-19 complications but not at increased risk of becoming infected. Reactions to COVID-19 and quitting behaviors differed across age groups, older participants reported difficulties coping with isolation (e.g., feeling disappointed when a text message came from the study and not a live person). Findings suggest that cessation interventions addressing stress and boredom are needed during COVID-19, while smokers experiencing isolation may benefit from live-person supports.

scholarly journals Smart Monitoring and Controlling of Appliances Using LoRa Based IoT System

Designs ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 17
Author(s):  
Nur-A-Alam ◽  
Mominul Ahsan ◽  
Md. Abdul Based ◽  
Julfikar Haider ◽  
Eduardo M. G. Rodrigues
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Modular Design ◽  
Real Life ◽  
Environmental Data ◽  
Automation System ◽  
Area Network ◽  
Wide Area Network ◽  
Long Distance ◽  
At Home

In the era of Industry 4.0, remote monitoring and controlling appliance/equipment at home, institute, or industry from a long distance with low power consumption remains challenging. At present, some smart phones are being actively used to control appliances at home or institute using Internet of Things (IoT) systems. This paper presents a novel smart automation system using long range (LoRa) technology. The proposed LoRa based system consists of wireless communication system and different types of sensors, operated by a smart phone application and powered by a low-power battery, with an operating range of 3–12 km distance. The system established a connection between an android phone and a microprocessor (ESP32) through Wi-Fi at the sender end. The ESP32 module was connected to a LoRa module. At the receiver end, an ESP32 module and LoRa module without Wi-Fi was employed. Wide Area Network (WAN) communication protocol was used on the LoRa module to provide switching functionality of the targeted area. The performance of the system was evaluated by three real-life case studies through measuring environmental temperature and humidity, detecting fire, and controlling the switching functionality of appliances. Obtaining correct environmental data, fire detection with 90% accuracy, and switching functionality with 92.33% accuracy at a distance up to 12 km demonstrated the high performance of the system. The proposed smart system with modular design proved to be highly effective in controlling and monitoring home appliances from a longer distance with relatively lower power consumption.

Hierarchical Concept-Driven Language Model

2021 ◽  
Vol 15 (6) ◽  
pp. 1-22
Author(s):  
Yashen Wang ◽  
Huanhuan Zhang ◽  
Zhirun Liu ◽  
Qiang Zhou
Keyword(s):  
Language Model ◽  
Generation Process ◽  
Data Generation ◽  
Modeling Framework ◽  
Long Distance ◽  
Short Text ◽  
Proposed Model ◽  
Scalable Inference ◽  
End To End ◽  
Hidden Layer

For guiding natural language generation, many semantic-driven methods have been proposed. While clearly improving the performance of the end-to-end training task, these existing semantic-driven methods still have clear limitations: for example, (i) they only utilize shallow semantic signals (e.g., from topic models) with only a single stochastic hidden layer in their data generation process, which suffer easily from noise (especially adapted for short-text etc.) and lack of interpretation; (ii) they ignore the sentence order and document context, as they treat each document as a bag of sentences, and fail to capture the long-distance dependencies and global semantic meaning of a document. To overcome these problems, we propose a novel semantic-driven language modeling framework, which is a method to learn a Hierarchical Language Model and a Recurrent Conceptualization-enhanced Gamma Belief Network, simultaneously. For scalable inference, we develop the auto-encoding Variational Recurrent Inference, allowing efficient end-to-end training and simultaneously capturing global semantics from a text corpus. Especially, this article introduces concept information derived from high-quality lexical knowledge graph Probase, which leverages strong interpretability and anti-nose capability for the proposed model. Moreover, the proposed model captures not only intra-sentence word dependencies, but also temporal transitions between sentences and inter-sentence concept dependence. Experiments conducted on several NLP tasks validate the superiority of the proposed approach, which could effectively infer meaningful hierarchical concept structure of document and hierarchical multi-scale structures of sequences, even compared with latest state-of-the-art Transformer-based models.

scholarly journals How Do Instant Messages Reduce Psychological Withdrawal Behaviors?—Mediation of Engagement and Moderation of Self-Control

2021 ◽  
Vol 18 (6) ◽  
pp. 2983
Author(s):  
Xia Jiang ◽  
Jing Du ◽  
Tianfei Yang ◽  
Yujing Liu
Keyword(s):  
Instant Messaging ◽  
Cognitive Engagement ◽  
Time Instant ◽  
Self Control ◽  
Emotional Engagement ◽  
Short Text ◽  
Mediating Role ◽  
Withdrawal Behaviors ◽  
The Relationship

Enabling people to send and receive short text-based messages in real-time, instant messaging (IM) is a communication technology that allows instantaneous information exchanges. The development of technology makes IM communication widely adopted in the workplace, which brings a series of changes for modern contemporary working life. Based on the conservation of resource theory (COR), this paper explores the mechanism of workplace IM communication on employees’ psychological withdrawal, and investigates the mediating role of work engagement in the relationship and the moderating role of self-control. Using the experience sampling method (ESM), a 10-consecutive workdays daily study was conducted among 66 employees. By data analysis of 632 observations using SPSS and HLM, results found that: (1) IM demands had a positive relation with emotion and cognitive engagement. (2) Emotion and cognitive engagement were negatively correlated with psychological withdrawal. (3) Emotion and cognitive engagement mediated the relations of IM demands and psychological withdrawal. (4) Self-control moderated the relationship between emotional engagement and psychological withdrawal.

scholarly journals Assessing Sleepiness and Sleep Disorders in Australian Long-Distance Commercial Vehicle Drivers: Self-Report Versus an “At Home” Monitoring Device

SLEEP ◽  
2012 ◽  
Vol 35 (4) ◽  
pp. 469-475 ◽  
Author(s):  
Lisa N. Sharwood ◽  
Jane Elkington ◽  
Mark Stevenson ◽  
Ronald R. Grunstein ◽  
Lynn Meuleners ◽  
...  
Keyword(s):  
Sleep Disorders ◽  
Commercial Vehicle ◽  
Home Monitoring ◽  
Self Report ◽  
Monitoring Device ◽  
Long Distance ◽  
At Home

The evolution of rumors on a closed platform during COVID-19 (Preprint)

2021 ◽  
Author(s):  
Andrea Wen-Yi Wang ◽  
Jo-Yu Lan ◽  
Ming-Hung Wang ◽  
Chihhao Yu
Keyword(s):  
Social Media ◽  
World Health Organization ◽  
Psychological Health ◽  
Instant Messaging ◽  
Medical Personnel ◽  
Text Messages ◽  
World Health ◽  
The World ◽  
Physical And Psychological Health ◽  
Health Organization

BACKGROUND In 2020, the COVID-19 pandemic put the world in crisis on both physical and psychological health. Simultaneously, a myriad of unverified information flowed on social media and online outlets. The situation was so severe that the World Health Organization identified it an infodemic on February 2020. OBJECTIVE We want to study the propagation patterns and textual transformation of COVID-19 related rumors on a closed-platform. METHODS We obtained a dataset of 114 thousand suspicious text messages collected on Taiwan’s most popular instant messaging platform, LINE. We also proposed an algorithm that efficiently cluster text messages into groups, where each group contains text messages within limited difference in content. Each group then represents a rumor and elements in each group is a message about the rumor. RESULTS 114 thousand messages were separated into 937 groups with at least 10 elements. Of the 936 rumors, 44.5% (417) were related to COVID-19. By studying 3 popular false COVID-19 rumors, we identified that key authoritative figures, mostly medical personnel, were often quoted in the messages. Also, rumors resurfaced multiple times after being fact-checked, and the resurfacing pattern were influenced by major societal events and successful content alterations, such as changing whom to quote in a message. CONCLUSIONS To fight infodemic, it is crucial that we first understand why and how a rumor becomes popular. While social media gives rise to unprecedented number of unverified rumors, it also provides a unique opportunity for us to study rumor propagations and the interactions with society. Therefore, we must put more effort in the areas.

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