Lize Alberts
Themes:
Interests
Topics: Nudging; Dark Patterns; CASA; User Autonomy; 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 candidate in the Human Centred Computing group, co-supervised by Dr. Max van Kleek and Prof. Marina Jirotka. Her work is funded by a graduate scholarship from the Responsible Technology Institute, supported by a gift from AWS. Her research centres on improving how automated systems treat people in interactions, particularly systems that behave as social actors. Her work involves exploring what it means to treat users in ways that are 'respectful' and how to support their sense of autonomy, as well as identifying dark patterns in interfaces that utilise social cues for behavioural design.
Lize has an MA by Thesis degree in Philosophy from Stellenbosch University, focusing on embodied cognition and computational linguistics. Her master's thesis combines a theoretical review of work in congitive science, philosophy of mind/language, and cognitive linguistics, with a review of current practical approaches in NLU to explore some of the remaining requirements for AI systems approaching a human-like command of natural language. She also holds a BA Honours degree in Philosophy from Stellenbosch University on computational linguistics, and her dissertation was published in a peer-reviewed journal. Preceding that, she graduated top of her class with a BA in Humanities, obtaining double the required credits with four majors (Philosophy, English, Social Anthropology, History of Art) 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