Generative UX Research Process for Designing Professional Service Robotic Systems and Teleoperation Interfaces

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dc.contributor.authorSankar, Gaayathri
dc.contributor.authorDjamasbi, Soussan
dc.contributor.authorBuchler, Norbou
dc.date.accessioned2023-12-26T18:51:17Z
dc.date.available2023-12-26T18:51:17Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2023.812
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.other3a63f729-0e1a-407a-b3a6-264a0ef50616
dc.identifier.urihttps://hdl.handle.net/10125/107198
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSpecial Topics in Organizational Systems and Technology
dc.subjectarmy
dc.subjecthuman-robot interaction (hri)
dc.subjectproto personas
dc.subjectsocio-technical systems (sts)
dc.subjectteleoperation interface
dc.titleGenerative UX Research Process for Designing Professional Service Robotic Systems and Teleoperation Interfaces
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractThe User Experience-driven Innovation (UXDI) framework emphasizes that successful product design, irrespective of organizational or personal systems, considers the user, context, and technology. In this paper, we outline a generative UX research process to study user needs for teleoperation robotics systems that can assist employees in specialized tasks under stressful conditions as there has been minimal work in documenting such processes. Grounded in the socio-technical systems (STS) theory we developed a tasks-first approach to studying employee needs for professional service robots. We designed worksheets for 1) identifying project tasks and their Key Performance Indicators (KPIs), 2) creating high-level and detailed task experience maps, and 3) developing personas for employees who complete the identified tasks. The experience maps and personas can then be used to generate insights for designing robotic systems that can assist employees with the identified tasks.
dcterms.extent7 pages
prism.startingpage6784

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