Ganix Lasa
Papers
4
Total Citations
95
H-Index
4
About
Ganix Lasa is a leading researcher in the field of Human-Robot Interaction (HRI), with a specific focus on industrial settings. His work centers on improving User Experience (UX), Technology Acceptance, and operator well-being in collaborative environments where humans and robots work side-by-side. A major contribution is the development of the **HEUROBOX** (Heuristics Robots Experience), a novel set of heuristics for evaluating HRI in industrial contexts, providing a practical framework for designing safer and more satisfying interactions. Lasa’s research is distinguished by its rigorous, multi-modal approach, as demonstrated in his highly cited 2023 systematic literature review on UX evaluation in HRI (66 citations). His recent studies employ objective physiological measures, such as EEG data, to assess cognitive workload and emotional responses, comparing unimodal and multimodal interfaces. He has also systematically investigated the impact of kinematic variables like speed and acceleration on human factors during assembly tasks. By bridging the gap between technical performance and human experience, Lasa’s work is foundational for creating truly collaborative and human-centric industrial workplaces.
Research Focus
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