Muhammad Sohaib Anwar, Shehab Beram

Computing and Information Systems (Sunway) | Year 3 | Degree: Bachelors in Computer Science (Hons)

Design Guidelines for Human AI Collaboration

Since the start of this century, there has been a significant increase in the use of artificial intelligence technology in various segments of society to increase productivity and efficiency. This use of Artificial Intelligence in our daily lives has led to the rise of human-AI collaboration which means numerous challenges and opportunities at the same time. One of these challenges is the interaction between humans and AI systems through the user interface. In the past, there have been limited findings carried out in regard to user interface design in the field of Human AI collaboration. Our research aims to bridge this gap. And to help drive this research effort, our research paper explores the various types of existing guidelines being implemented and at the same time understand the implications of these design implementations. So future researchers interested in this field can be guided to implement appropriate Human-Computer Interaction guidelines for their Human-AI interaction-based systems. We believe that our work will be useful to a wide range of people, including industrial organizations intending to use AI in new products and researchers hoping to understand the current state of the field of Human-AI interaction.

Muhammad Sohaib Anwar, Shehab Beram

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Muhammad Sohaib Anwar

Computing and Information Systems (Sunway) | Year 3 | Degree: Bachelors in Computer Science (Hons)

Design Guidelines for Human AI Collaboration

What is Human AI Collaboration? Artificial intelligence is an attempt to artificially mimic the mental action and process of acquiring knowledge of humans into executable programs that assist in the decision-making process. Artificial intelligence(AI) technology can learn from previous sets of available data, recognise the data structure and perform decisions The growing number of collaboration between AI and human interaction has led to a new occurrence wherein the situation where AI automates repetitive routine tasks that replace human labour, human-AI interaction allows for humans in implementing AI as a tool as a means to problem-solve a case, increase efficiency in their functions and reduce stress in their workload.

The need for Design Guidelines in AI-Based Systems The implementation of Human-AI interaction within existing software systems is a growing common practice within most commercial software projects, these practices are seldom implemented following specific design approaches or guidelines of HCI that could increase the efficiency and usability of the system.HCI is traditionally used in synthetic intelligence systems that have been the default system for decades to maintain the attention of the user while utilising the computing power of that system with efficiency. This is achieved by the process of creating architectural views based on how humans behave and comprehending how computers function when they are designed in particular ways. However, with the synthetic intelligence system being phased out and most commercial systems have in some ways implemented AI, the HCI guidelines used in the artificial intelligence system are not appropriate with the current AI system simply because the element of absent human interaction and presence of automated interaction is not accounted for within HCI(Human-Computer Interaction) field.

Deeper dive into human AI Complementarity, if you are interested to know more!

Why are we conducting this research study? Our research explores the various types of guidelines being implemented within the literature by reviewing and examining the field of HCI within the context of artificial intelligence systems to ascertain the practicality of HCI as well as the consequences of those implementations. In this paper, we also intend to fill in the gap within the literature and guide future researchers interested in implementing appropriate HCI guidelines with their Human-AI interaction-based system. We aim to answer the following questions: 1. What are the design guidelines of rule-based systems that can not be applied to AI-infused systems? 2. What are the practical challenges of designing usable AI-infused systems? 3. What are the currently adopted design guidelines of AI-infused systems according to published empirical studies?

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