ACM Transactions on Interactive Intelligent Systems

Scope & Guideline

Exploring the Intersection of AI and Human Interaction.

Introduction

Welcome to the ACM Transactions on Interactive Intelligent Systems information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of ACM Transactions on Interactive Intelligent Systems, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN2160-6455
PublisherASSOC COMPUTING MACHINERY
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2011 to 2024
AbbreviationACM T INTERACT INTEL / ACM Trans. Interact. Intell. Syst.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address1601 Broadway, 10th Floor, NEW YORK, NY 10019-7434

Aims and Scopes

ACM Transactions on Interactive Intelligent Systems (TiiS) focuses on the intersection of human-computer interaction and intelligent systems, emphasizing how these interactions can be improved through innovative methodologies and technologies. The journal aims to disseminate research that not only advances the theoretical understanding of interactive intelligent systems but also provides practical solutions to real-world problems.
  1. Human-AI Collaboration:
    The journal explores how humans and AI can work together effectively, focusing on trust, transparency, and the dynamics of human-AI teams.
  2. Explainable AI (XAI):
    A significant emphasis is placed on developing AI systems that can explain their reasoning and decisions to users, enhancing trust and usability.
  3. Interactive Data Visualization:
    Research in this area focuses on improving how users interact with complex data through visual means, including explorations into user-centered design and analytics.
  4. User Experience and Interaction Design:
    The journal covers methodologies for designing interfaces that enhance user experience, particularly in the context of intelligent systems.
  5. Ethics and Bias in AI:
    TiiS addresses the ethical implications of AI technologies, including fairness, bias mitigation, and responsible AI use.
  6. Adaptive and Personalized Systems:
    Research often investigates how systems can adapt to individual user needs and preferences, improving the overall interaction experience.
  7. Social and Emotional AI:
    The journal explores the development of AI that can recognize and respond to human emotions and social cues, facilitating better interactions.
The ACM Transactions on Interactive Intelligent Systems has seen a rise in several emerging themes that reflect the evolving landscape of technology and user needs. These trends indicate an increasing focus on enhancing the interaction between users and intelligent systems through innovative methodologies and frameworks.
  1. Trust and Transparency in AI Systems:
    Recent publications emphasize understanding how users can trust AI systems, focusing on transparency and explainability as critical factors in user acceptance.
  2. AI Ethics and Fairness:
    There is a growing trend towards addressing ethical concerns related to AI, particularly focusing on bias mitigation and fairness in AI applications.
  3. Natural Language Interfaces:
    The popularity of natural language processing and conversational interfaces is increasing, with a focus on how they can facilitate better user interactions and data exploration.
  4. Interactive Machine Learning:
    Research on integrating user feedback into machine learning processes is trending, highlighting the importance of human input in refining AI models.
  5. Visual Analytics and Data Interpretation:
    Emerging themes include the development of tools and techniques for visualizing complex data, enhancing user understanding and decision-making through interactive analytics.
  6. Personalization Techniques in Intelligent Systems:
    An increased focus on adaptive systems that cater to individual user preferences and contexts is evident, reflecting the demand for more personalized interactions.

Declining or Waning

While ACM TiiS has a robust focus on various themes, some areas have shown a decline in publication frequency or emphasis in recent years. These waning themes may reflect shifts in research priorities or advancements in technology that have rendered certain topics less relevant.
  1. Traditional User Interface Design:
    As intelligent systems become more integrated into everyday applications, traditional user interface design approaches that do not incorporate AI or adaptive elements are becoming less prominent.
  2. General AI Applications without Human-Centric Focus:
    Papers discussing AI applications without emphasizing human interaction or user experience are appearing less frequently, suggesting a shift towards more user-centered AI research.
  3. Basic Interaction Techniques:
    Research focusing solely on basic interaction techniques without the incorporation of intelligent systems or data-driven insights is declining, as the field moves towards more complex and integrated solutions.
  4. Non-interactive AI Systems:
    There is a noticeable reduction in the exploration of AI systems that do not involve interactive components or user engagement, aligning with the journal’s current focus on interactivity.

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