2023
DOI: 10.1017/pds.2023.80
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Bridging Designer-User Gap With a Virtual Reality-Based Empathic Design Approach: Contextual Information Details

Abstract: Without shared experiences, empathy gaps between designers and users are difficult to bridge. Advancing Virtual Reality (VR) has shed new light on this regard by enabling designers to simulate and experience their users' living scenarios in a virtual environment (VE). However, implementing VR-based empathetic design approach requires dealing with critical design questions, such as: (1) whether VR operators can develop empathy for unfamiliar user groups solely based on objective experience and (2) whether VR op… Show more

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Cited by 3 publications
(2 citation statements)
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References 16 publications
(25 reference statements)
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“…Any framing must then recognise the role of the product, the user, and the interaction between the two. Equally, the environment in which the prototyping activity occurs influences the activity itself and its outcomes (Kaplan et al, 2021), as repeatedly underlined by research considering the role of the environment on ideation (Nanjappan et al, 2023) and design activity (Hu et al, 2023;Trump and Shealy, 2023). Similar framings of design as the interaction between person, product, and environment are present across literature (i.e.…”
Section: A Framework For Mr In Design Prototypingmentioning
confidence: 81%
See 1 more Smart Citation
“…Any framing must then recognise the role of the product, the user, and the interaction between the two. Equally, the environment in which the prototyping activity occurs influences the activity itself and its outcomes (Kaplan et al, 2021), as repeatedly underlined by research considering the role of the environment on ideation (Nanjappan et al, 2023) and design activity (Hu et al, 2023;Trump and Shealy, 2023). Similar framings of design as the interaction between person, product, and environment are present across literature (i.e.…”
Section: A Framework For Mr In Design Prototypingmentioning
confidence: 81%
“…References for works: A(Scurati et al, 2023), B(Hu et al, 2023), C(Latif et al, 2023), D(Trump and Shealy, 2023), E(Nanjappan et al, 2023), F(Steinhauser et al, 2023), G(Horvat et al, 2022), H(Berni et al, 2023), I(Nandy et al, 2023), J(Hireche et al, 2023), K(Bisson et al, 2023), L(Hallmann et al, 2023), M(Harlan et al, 2023), N(Brunzini et al, 2021), O(Yengui and Stechert, 2021), P(Seybold and Mantwill, 2021), Q(Porro et al, 2022), R(Goethem et al, 2021), S(Mariani et al, 2021), T(Romero et al, 2021), U(Kujur et al, 2022), V(Melo et al, 2022) 3 See https://tinyurl.com/DMFdrill, https://tinyurl.com/DMFcontroller, https://dmf-lab.co.uk/our-lab/…”
mentioning
confidence: 99%