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The EmpathiCH Workshop: Unraveling Empathy-Centric Design

Authors: Drouet, Luce; Meijer, Wo; O'Kane, Aisling Ann; Singh, Aneesha; Wambsganss, Thiemo; Mauri, Andrea; Verma, Himanshu;

The EmpathiCH Workshop: Unraveling Empathy-Centric Design

Abstract

EmpathiCH aims to bring together and blend a diverse set of expertise to develop a new research agenda in the context of "Empathy-Centric Design". Building on the discussions that emerged in the previous edition, the main research objective is to form a comprehensive and coherent framework that utilizes empathy as a new dimension of human-factors research and practice. We aim to consolidate the existing theoretical and conceptual constructs of empathy from diverse domains to reflect on its temporality, materiality, and the risks related to its instrumentalization. With a mix of author panels, expert discussion, and interactive activities, we aim to make this workshop the ideal venue to foster collaboration, expand the community, and shape the future direction of "Empathy-Centric Design". CCS CONCEPTS • Human-centered computing → HCI theory, concepts and models; HCI design and evaluation methods.

Keywords

at- tributes of empathy, empathy empathy-centric design assessment of empathy attributes of empathy ethics of empathy collaboration, /dk/atira/pure/core/keywords/faculty_of_enigneering/bristol_interaction_group, name=Bristol Interaction Group, assessment of empathy, 720, empathy-centric design, attributes of empathy, [INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC], empathy, ethics of empathy, collaboration

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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6
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