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First International Workshop on
Keynote: Daniel M. Berry
Keynote: Daniel M. Berry
Daniel M. Berry is a full Professor at the Cheriton School of Computer Science, University of Waterloo. Between 2008 and 2013, Berry held an Industrial Research Chair in Requirements Engineering sponsored by Scotia Bank and the National Science and Engineering Research Council of Canada (NSERC). Berry's current research interests are in requirements engineering with occasional dabbles in Biblical commentary, scientific satire, and electronic publishing.
Why Large Language Models Appear to be Intelligent and Creative: Because They Generate Bullsh*t!
This talk tries to explain why so many perceive large-language models (LLMs), such as ChatGPT, as intelligent and creative.
An LLM generates convincingly cogent bullshit (BS) in the Frankfurtian sense. Humans instinctively perceive the ability to BS convincingly as an honest sign of intelligence. Each claim is supported by empirical evidence.
Therefore, humans instinctively perceive an LLM as intelligent.
A creative idea can be an exception to the norm that is perceived by humans to be a good idea after all. An LLM's BS contains mistakes, some of which are perceived as creative. Therefore, humans perceive an LLM as creative.
Motivation
Motivation
In today’s rapidly evolving software development landscape, fulfilling user-centered qualities such as a positive user experience and inclusivity is crucial. These ob jectives can only be achieved when users’ needs, values, and expectations are met — or even exceeded.
Our workshop, “Participatory User-Centered Requirements Engineering” (PURE) aims to explore the integration of user participation with requirements engineering (RE). We focus on prioritizing human needs and empathy within the RE process, ensuring that the solutions developed truly resonate with and serve the users effectively.
Workshop Objectives
Workshop Objectives
Explore user research methods and techniques:
Bridging RE and Human-Computer Interaction (HCI), we aim to delve into methods and techniques that contribute to designing software that aligns with user needs and fosters user satisfaction, respectively, user experience.
User-Centric and Empathic Design:
Emphasize the importance of empathy in RE by discussing strategies that actively engage diverse user groups (e.g., including elderly individuals, children, or people with disabilities). By understanding and valuing the perspectives and emotions of these users, we can create more inclusive and accessible solutions.
Interdisciplinary Learning:
Assess the knowledge and skills that Requirements Engineers must possess to gain empathy with the users. We will explore insights from other disciplines, such as psychology, to enhance our understanding of user behavior, needs, and emotional contexts.
Shift Focus Back to Users:
Amidst the rising emphasis on AI and Large Language Models (LLMs), our goal is to refocus attention on users. We will discuss how these advanced tools can be leveraged to enhance user experiences without overshadowing the primary objective: a genuinely user-centered design.
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