TY - GEN
T1 - Extended User Feedback – A Questionnaire for Usability Evaluation in XR
AU - Ashtiani, Omeed
AU - Annaswamy, Thiru
AU - Prabhakaran, Balakrishnan
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2026
Y1 - 2026
N2 - When developing an application for production, end-user questionnaires are a rapid way of acquiring user evaluations about the product’s usability. These questionnaires include topics such as the base of the application, user interface, and various ailments related to the application, to say the least. Multiple types of questionnaires and methods have been developed to assist developers with feedback acquisition. However, with such a wide range of disciplines, there is not a standard used by all developers in the research community. Furthermore, as applications are delivered using various devices, such as mobile, desktop, and now XR, new questionnaires have arisen. Compiling these evaluations leads to a large number of questions (100+), a multitude of redundancies, and difficulty comparing related applications due to lack of a solidified system. Furthermore, XR development requires unique feedback that typical presentations of data and engagement do not contain. In this work, we create a concise subset of questions, on a 5-point Likert scale, that remove redundancies and allows for comprehensive statistical analysis, allowing developers to measure differences in populations more readily.
AB - When developing an application for production, end-user questionnaires are a rapid way of acquiring user evaluations about the product’s usability. These questionnaires include topics such as the base of the application, user interface, and various ailments related to the application, to say the least. Multiple types of questionnaires and methods have been developed to assist developers with feedback acquisition. However, with such a wide range of disciplines, there is not a standard used by all developers in the research community. Furthermore, as applications are delivered using various devices, such as mobile, desktop, and now XR, new questionnaires have arisen. Compiling these evaluations leads to a large number of questions (100+), a multitude of redundancies, and difficulty comparing related applications due to lack of a solidified system. Furthermore, XR development requires unique feedback that typical presentations of data and engagement do not contain. In this work, we create a concise subset of questions, on a 5-point Likert scale, that remove redundancies and allows for comprehensive statistical analysis, allowing developers to measure differences in populations more readily.
UR - https://www.scopus.com/pages/publications/105028365568
UR - https://www.scopus.com/pages/publications/105028365568#tab=citedBy
U2 - 10.1007/978-3-032-12808-9_5
DO - 10.1007/978-3-032-12808-9_5
M3 - Conference contribution
AN - SCOPUS:105028365568
SN - 9783032128072
T3 - Lecture Notes in Computer Science
SP - 63
EP - 73
BT - HCI International 2025 - Late Breaking Papers - 27th International Conference on Human-Computer Interaction, HCII 2025, Proceedings
A2 - Chen, Jessie Y. C.
A2 - Fragomeni, Gino
A2 - Fang, Xiaowen
PB - Springer Science and Business Media Deutschland GmbH
T2 - Late breaking papers from the 27th International Conference on Human-Computer Interaction, HCI International 2025
Y2 - 22 June 2025 through 27 June 2025
ER -