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20122025
most citedAugmenting Customer Journey Maps with quantitative empirical data: a case on EEG and eye tracking

6 citations · 8 across the 5 of their papers we have counts for

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cs.HC2025

"A Great Start, But...": Evaluating LLM-Generated Mind Maps for Information Mapping in Video-Based Design

Tianhao He, Karthi Saravanan, Evangelos Niforatos +1

Extracting concepts and understanding relationships from videos is essential in Video-Based Design (VBD), where videos serve as a primary medium for exploration but require signifi…

cs.HC2024

Factory Operators' Perspectives on Cognitive Assistants for Knowledge Sharing: Challenges, Risks, and Impact on Work

Samuel Kernan Freire, Tianhao He, Chaofan Wang +2

In the shift towards human-centered manufacturing, our two-year longitudinal study investigates the real-world impact of deploying Cognitive Assistants (CAs) in factories. The CAs…

cs.HC20232 cited

Safeguarding Crowdsourcing Surveys from ChatGPT with Prompt Injection

Chaofan Wang, Samuel Kernan Freire, Mo Zhang +7

ChatGPT and other large language models (LLMs) have proven useful in crowdsourcing tasks, where they can effectively annotate machine learning training data. However, this means th…

cs.HC20126 cited

Augmenting Customer Journey Maps with quantitative empirical data: a case on EEG and eye tracking

Rui Alves, Veranika Lim, Evangelos Niforatos +3

This paper introduces the use of electroencephalography (EEG) and eye tracking in exploring customer experiences in service design. These tools are expected to allow designers to g…

cs.HC2012

Footprint Tracker: reviewing lifelogs and reconstructing daily experiences

Rúben Gouveia, Evangelos Niforatos, Evangelos Karapanos

With the increasing emphasis on how mobile technologies are experienced in everyday life, researchers are increasingly emphasizing the use of in-situ methods such as Experience Sam…