Location
Hilton Hawaiian Village, Honolulu, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2024 12:00 AM
End Date
6-1-2024 12:00 AM
Description
The 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.
Recommended Citation
Sankar, Gaayathri; Djamasbi, Soussan; and Buchler, Norbou, "Generative UX Research Process for Designing Professional Service Robotic Systems and Teleoperation Interfaces" (2024). Hawaii International Conference on System Sciences 2024 (HICSS-57). 7.
https://aisel.aisnet.org/hicss-57/os/topics_in_os/7
Generative UX Research Process for Designing Professional Service Robotic Systems and Teleoperation Interfaces
Hilton Hawaiian Village, Honolulu, Hawaii
The 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.
https://aisel.aisnet.org/hicss-57/os/topics_in_os/7