Artificial Intelligence-based Assistants
AIA 2021
- URL: https://hicss.hawaii.edu/tracks-54/internet-and-the-digital-economy/#artificial-intelligence-based-assistants-minitrack
- Event Date: 2021-01-05 ~ 2021-01-08
- Submission Date: 2020-06-15
- Location: Kauai, United States of America
Artificial Intelligence-based Assistants (AIA)
Minitrack HICSS54
Internet and the Digital Economy Track
https://hicss.hawaii.edu/tracks-54/internet-and-the-digital-economy/#artificial-intelligence-based-assistants-minitrack
Description
Artificial Intelligence (AI) receives a high degree of attention due to recent progress in several areas such as image detection, translation, and decision support. Many companies expect to gain a competitive advantage from AI. Starting from decision support, the way in which AI supports digital processes is becoming more and more sophisticated. Assistants leverage AI in two primary ways. First, virtual personal assistants and chatbots, such as Amazon Alexa and Google Home, enable the interaction of human beings with machines by voice, replacing standard human-computer interaction via mouse, keyboard, and screen of an application. Second, AI-based assistants replace human beings interfacing two application systems. These kinds of AI-based assistants are also subsumed under the term Robotic Process Automation (RPA), handling interactions previously performed by humans to pair two application systems. AI--based assistants employ technologies such as natural language processing, predictive analytics, machine learning, as well as voice recognition and generation. They unlock business value through automating processes, intensifying customer interaction, reducing errors, and speeding up interactions to name a few. Following the understanding that information systems are socio-technical in nature, AI-based assistants should be framed as a step toward humanizing technology and work environments.
Goal
The minitrack “Artificial Intelligence-based Assistants” shall promote the scientific exchange on AI-based Assistants for the Digital Economy. The minitrack shall enable researchers to present and discuss innovative approaches, methodologies, models, processes, etc. to design, implement, deploy, operate and optimize such assistants for the Digital Economy.
Focus of the Artificial Intelligence-based Assistants minitrack
The Artificial Intelligence-based Assistants minitrack deals with the following topics, but contributions can also be submitted on other topics.
• Applications of Artificial Intelligence-based Assistants in the Digital Economy
• Methods and models to design, develop, implement, deploy, manage and monitor artificial-intelligence-based assistants.
• Methods, tools, and approaches to capture user behavior using techniques such as process mining to derive recommendations for actions.
• New business models and processes based on Artificial Intelligence-based Assistants
Organizers
Rainer Schmidt
Munich University of Applied
Rainer.Schmidt@hm.edu
Rainer Alt
Leipzig University
rainer.alt@uni-leipzig.de
Alfred Zimmermann
Reutlingen University,
alfred.zimmermann@reutlingen-university.de
Author information
https://hicss.hawaii.edu/authors/
Publication of papers:
Presented papers will be included in the Proceedings of HICSS-54
Important Dates for Paper Submission
April 20 | 6:00 pm HST: Paper submission begins.
June 15 | 11:59 pm HST: Paper submission deadline
August 17 | 11:59 pm HST: Notification of Acceptance/Rejection
September 4 | 11:59 pm HST: Deadline for authors to submit the revised version of papers accepted with mandatory changes (A-M)
September 11: Notification of Acceptance/Rejection for A-M papers
September 22: Deadline for authors to submit final manuscript for publication
October 1: Deadline for at least one author of each paper to register for the conference
Minitrack HICSS54
Internet and the Digital Economy Track
https://hicss.hawaii.edu/tracks-54/internet-and-the-digital-economy/#artificial-intelligence-based-assistants-minitrack
Description
Artificial Intelligence (AI) receives a high degree of attention due to recent progress in several areas such as image detection, translation, and decision support. Many companies expect to gain a competitive advantage from AI. Starting from decision support, the way in which AI supports digital processes is becoming more and more sophisticated. Assistants leverage AI in two primary ways. First, virtual personal assistants and chatbots, such as Amazon Alexa and Google Home, enable the interaction of human beings with machines by voice, replacing standard human-computer interaction via mouse, keyboard, and screen of an application. Second, AI-based assistants replace human beings interfacing two application systems. These kinds of AI-based assistants are also subsumed under the term Robotic Process Automation (RPA), handling interactions previously performed by humans to pair two application systems. AI--based assistants employ technologies such as natural language processing, predictive analytics, machine learning, as well as voice recognition and generation. They unlock business value through automating processes, intensifying customer interaction, reducing errors, and speeding up interactions to name a few. Following the understanding that information systems are socio-technical in nature, AI-based assistants should be framed as a step toward humanizing technology and work environments.
Goal
The minitrack “Artificial Intelligence-based Assistants” shall promote the scientific exchange on AI-based Assistants for the Digital Economy. The minitrack shall enable researchers to present and discuss innovative approaches, methodologies, models, processes, etc. to design, implement, deploy, operate and optimize such assistants for the Digital Economy.
Focus of the Artificial Intelligence-based Assistants minitrack
The Artificial Intelligence-based Assistants minitrack deals with the following topics, but contributions can also be submitted on other topics.
• Applications of Artificial Intelligence-based Assistants in the Digital Economy
• Methods and models to design, develop, implement, deploy, manage and monitor artificial-intelligence-based assistants.
• Methods, tools, and approaches to capture user behavior using techniques such as process mining to derive recommendations for actions.
• New business models and processes based on Artificial Intelligence-based Assistants
Organizers
Rainer Schmidt
Munich University of Applied
Rainer.Schmidt@hm.edu
Rainer Alt
Leipzig University
rainer.alt@uni-leipzig.de
Alfred Zimmermann
Reutlingen University,
alfred.zimmermann@reutlingen-university.de
Author information
https://hicss.hawaii.edu/authors/
Publication of papers:
Presented papers will be included in the Proceedings of HICSS-54
Important Dates for Paper Submission
April 20 | 6:00 pm HST: Paper submission begins.
June 15 | 11:59 pm HST: Paper submission deadline
August 17 | 11:59 pm HST: Notification of Acceptance/Rejection
September 4 | 11:59 pm HST: Deadline for authors to submit the revised version of papers accepted with mandatory changes (A-M)
September 11: Notification of Acceptance/Rejection for A-M papers
September 22: Deadline for authors to submit final manuscript for publication
October 1: Deadline for at least one author of each paper to register for the conference
Journal Promotion
|
| Acta Koreana (Acta Koreana) |
|
| Acta Via Serica (AVS) |
|
| Computers and Concrete (CAC) |
|
| Journal of Information Processing Systems (JIPS) |
|
| Journal of Internet Computing and Services (KSII - JICS) |
|
| Journal of Smart Tourism (Smart Tourism) |
|
| Membrane and Water Treatment (MWT) |
|
| Wind and Structures, An International Journal (Wind and Structures) |
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