Fatemeh Alizadeh

schoolUniversity of Siegenbar_chart#2615 Global Rank

Total Papers

HCI Rank

#2615

Research Areas

Years Active

Recent Publications

"When the 'Matchmaker' Does Not Have Your Interest at Heart: Perceived Algorithmic Harms, Folk Theories, and Users' Counter-Strategies on Tinder"

On online platforms, algorithms help us build and manage our relationships. However, their invisible inter- ventions might also pose harm to these connections. Dating platforms offer a prime example where, despite extensive research on human-inflicted harm, the potential harm from the algorithms themselves, and user s…

CUI '241st AuthorIntelligent Voice Assistants (Alexa, Siri, etc.) +2

Voice Assistants' Accountability through Explanatory Dialogues

As voice assistants (VAs) become more advanced leveraging Large Language Models (LLMs) and natural language processing, their potential for accountable behavior expands. Yet, the long-term situational effectiveness of VAs’ accounts when errors occur remains unclear. In our 19-month exploratory study with 19 households…

CHI '242nd AuthorExplainable AI (XAI) +2

Trust in AI-assisted Decision Making: Perspectives from Those Behind the System and Those for Whom the Decision is Made

Trust between humans and AI in the context of decision-making has acquired an important role in public policy, research and industry. In this context, Human-AI Trust has often been tackled from the lens of cognitive science and psychology, but lacks insights from the stakeholders involved. In this paper, we conducted…

CSCW '231st AuthorSecurity and Trust

Catch Me if You Can: “Delaying” as a Social Engineering Technique in the Post-Attack Phase

Much is known about social engineering strategies (SE) during the attack phase, but little is known about the post-attack period. To address this gap, we conducted 17 narrative interviews with victims of cyber fraud. We found that while it was seen to be important for victims to act immediately and to take countermeas…

DIS '214th AuthorIntelligent Voice Assistants (Alexa, Siri, etc.) +1

Alexa, We Need to Talk: A Data Literacy Approach on Voice Assistants

Voice assistants (VA) collect data about users’ daily life including interactions with other connected devices, musical preferences, and unintended interactions. While users appreciate the convenience of VAs, their understanding and expectations of data collection by vendors are often vague and incomplete. By making t…

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