Lize Alberts
Themes:
Interests
Topics: Nudging/Dark Patterns; Social Interfaces; Autonomy-Supportive Design; Design for Wellbeing; 4E Cognition; Self-Determination Theory; Social Engineering
Fields: Behavioural Design; Social Psychology; Human-Computer Interaction; Human-Robot Interaction; Cognitive Science; Technological Governance; Cognitive Linguistics; Computational Linguistics; Natural Language Processing/Understanding; Analytic Philosophy
Biography
Lize is a doctoral student in the Human Centred Computing group, co-supervised by Max van Kleek and Marina Jirotka. Her work is funded by a graduate scholarship from the Responsible Technology Institute, supported by a gift from AWS. Her research relates to the ethical design of interfaces that interact socially with users, including the anticipation of dark patterns that may emerge in this space.
Lize has an MA by Research degree in Philosophy from Stellenbosch University. Her interdisciplinary master's thesis critically integrates research in cognitive science, philosophy of mind/language, and cognitive linguistics, and evaluates this against an analysis of current approaches in NLU to explore some key requirements—and remaining challenges—for AI systems approaching a human-like command of natural language. She also holds a BA Honours degree in Philosophy from Stellenbosch University and her dissertation on computational linguistics was published in a peer-reviewed linguistics journal. Preceding that, she graduated top of her class with a BA in Humanities, completing double the required credits with four majors (Philosophy, English, Art History, and Social Anthropology) at NWU, South Africa.
Lize is a founding member of the Responsible Technology Institute's Student Network.
Selected Publications
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Designing to support autonomy and reduce psychological reactance in digital self−Control tools
Kai Lukoff‚ Ulrik Lyngs and Lize Alberts
2022.
Details about Designing to support autonomy and reduce psychological reactance in digital self−Control tools | BibTeX data for Designing to support autonomy and reduce psychological reactance in digital self−Control tools
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Not cheating on the Turing Test: Towards grounded language learning in Artificial Intelligence
Lize Alberts
Master's Thesis 2020.
Details about Not cheating on the Turing Test: Towards grounded language learning in Artificial Intelligence | BibTeX data for Not cheating on the Turing Test: Towards grounded language learning in Artificial Intelligence
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Meeting them halfway: Altering language conventions to facilitate human−robot interaction
Lize Alberts
2019.
Details about Meeting them halfway: Altering language conventions to facilitate human−robot interaction | BibTeX data for Meeting them halfway: Altering language conventions to facilitate human−robot interaction