Artificial Intelligence-based Assistants and Platforms Minitrack at HICSS 57

Starts:  Jan 3, 2024 09:00 (HAST)
Ends:  Jan 6, 2024 17:00 (HAST)

Call for Papers
57. Hawaii International Conference on System Sciences (HICSS), January, 3-6, 2024

Artificial Intelligence-based Assistants and Platforms Minitrack

Paper submission deadline: June 15, 2023

1. Minitrack description
AI-based assistants have become a new general-purpose technology used in many areas of the digital economy. Examples, such as chatbots and virtual personal assistants, provide seamless access to services as well as to devices and free humans from the burden of acquiring domain knowledge and resources, allowing them to focus on more complex tasks. They also create business value by automating processes, intensifying the interaction with the customer, reducing errors, and speeding up interactions. While the concept of digital assistants is not new, the diffusion of general-purpose assistants, such as Amazon’s Alexa, Apple’s Siri or Google’s Assistant has fundamentally changed the availability of assistants. In addition, the technology is constantly driven by advances in voice processing and generative technologies, such as ChatGPT, Google Bard, and large language models, such as Bloom. 

At the same time, AI-based assistant system have often evolved towards assistant platforms. By providing access to digital services from various providers (e.g., media or shopping services) and by linking to multiple devices (e.g., Zigbee, IFTTT), they feature platform characteristics. At this core of the platform lies Artificial Intelligence (AI) technology, like voice recognition in Alexa or a generative model in ChatGPT. The platform architecture enables the reuse of this core functionality in many contexts and the creation of complementary products and services. Additionally, the platform architecture of AI-based assistants enables learning, scaling, and automation of cognition and predictions, leading to the creation of data network effects. 

As information systems are socio-technical, AI-based assistants and platforms should be viewed as a step towards humanizing technology and work as well as living environments. This implies that AI-based assistants and technologies will be present in numerous application domains and might even serve to integrate across these domains. Therefore, understanding the use and impact in complex settings, such as healthcare, education, engineering or public administration, seems important for research and practice. 

2. Minitrack goals and topics
The minitrack provides a platform for researchers to present and debate novel methods, models, processes, and approaches related to the design, implementation, deployment, operation, and optimization of AI-based assistants and platforms for the digital economy. It aims to encompass wider perspectives, such as the ecosystems of AI-based assistants and platforms. Topics of interest include, but are not limited to:

- Virtual AI-based assistants and chatbots, such as Alexa, Siri, Google, ChatGPT
- Ecosystems of AI-based assistant platforms, e.g. drivers, dynamics, intelligence
- Forms of digital assistance, e.g. digital twins, metaverse, virtual communities
- Business models and processes based on AI-based assistants and platforms
- AI-assistants in the customer journey (pre-/ after sales, service demands)
- Applications in specific domains: e.g., health, education and research, engineering, finance, governance
- Social, ethical, juridical, political, and business implications
- Assistants and chatbots in research and society, e.g. plagiarism, authorship
- Methods, models, and architectures to design and manage AI-based assistants and platforms
- Strategy, innovation, and management of assistants and platforms
- Human interaction and collaboration with AI-based assistants
- Transparency and explainability of the behavior of AI-based assistants
- User, context, cognitive, and learning models
- Assessments of AI-based assistants and platforms, e.g. quality, maturity
- Benefits, risks, security, privacy, and trust of assistants and platforms
- Governance and regulation of digital assistants and platforms

Selected papers will be invited for a fast-track in Electronic Markets – The International Journal on Networked Business (

3. Minitrack Co-Chairs
- Rainer Schmidt (Primary Contact), Munich University of Applied Sciences,
- Rainer Alt, Leipzig University,
- Alfred Zimmermann, Reutlingen University,

4. Important information for paper submission

- June 15, 2023: Paper submission deadline
- August 17, 2023: Notification of acceptance/rejection
- September 22, 2023: Deadline for submission of final manuscript for publication
- October 1, 2023: Deadline for at least one author of each paper to register for the conference
- January 3-6, 2024: Conference
- Author instructions:

We are looking forward to your submissions and to exciting discussions at HICSS57!

Rainer Alt
Prof. Dr.
Editor-in-Chief Electronic Markets

Leipzig University
Information Systems Institute
Grimmaische Str. 12, 04109 Leipzig

Ph +49 341 97-33600


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