Show simple item record

dc.contributor.authorChang-Arana, Álvaro M
dc.contributor.authorSurma-aho, Antti
dc.contributor.authorLi, Jie
dc.contributor.authorYang, Maria C
dc.contributor.authorHölttä-Otto, Katja
dc.date.accessioned2022-01-26T19:42:41Z
dc.date.available2022-01-26T19:42:41Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/139758
dc.description.abstract© 2020 American Society of Mechanical Engineers (ASME). All rights reserved. The success of design needfinding is largely dependent on how well designers understand their users. It is further claimed that user understanding and designers' capacity to adopt users' perspective, i.e. designers' ability to understand others, are key skills that should lead to successful design outcomes. The general ability to understand someone else's mental contents, such as what they else think, feel, wish, and believe, is called theory of mind. In this study, we connect concepts of humancentered design and theory of mind through empathic accuracy, a performance-based method for measuring empathy. We state two hypotheses. First, that designers are equally accurate at inferring thoughts as they are at inferring feelings. Second, that designers are more accurate in inferring design-related mental contents than those that are not related to design. We answer these hypotheses by analyzing results of altogether 24 designers watching recorded needfinding interviews of 6 users and inferring their mental contents. We observed that feelings were more accurately inferred than thoughts, although the data showed some inconsistencies. A stronger case can be made for designers' accuracy of design-related entries, where designers were consistently more accurate at inferring design-related entries than non-design-related ones. These results provide concrete insight into how designers understand users and how empathy could be quantified in the design context.en_US
dc.language.isoen
dc.publisherASME Internationalen_US
dc.relation.isversionof10.1115/DETC2020-22245en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceASMEen_US
dc.titleReading the User’s Mind: Designers Show High Accuracy in Inferring Design-Related Thoughts and Feelingsen_US
dc.typeArticleen_US
dc.identifier.citationChang-Arana, Álvaro M, Surma-aho, Antti, Li, Jie, Yang, Maria C and Hölttä-Otto, Katja. 2020. "Reading the User’s Mind: Designers Show High Accuracy in Inferring Design-Related Thoughts and Feelings." Proceedings of the ASME Design Engineering Technical Conference, 8.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.relation.journalProceedings of the ASME Design Engineering Technical Conferenceen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-01-26T19:40:01Z
dspace.orderedauthorsChang-Arana, ÁM; Surma-aho, A; Li, J; Yang, MC; Hölttä-Otto, Ken_US
dspace.date.submission2022-01-26T19:40:05Z
mit.journal.volume8en_US
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record