With the growing interest in Immersive Analytics, there is also a need for novel and suitable input modalities for such applications. We explore eye tracking, head tracking, hand motion tracking, and data gloves as input methods for a 2D tracing task and compare them to touch input as a baseline in an exploratory user study (N=20). We compare these methods in terms of user experience, workload, accuracy, and time required for input. The results show that the input method has a significant influence on these measured variables. While touch input surpasses all other input methods in terms of user experience, workload, and accuracy, eye tracking shows promise in respect of the input time. The results form a starting point for future research investigating input methods.
%0 Conference Paper
%1 10.1145/3379156.3391830
%A Streichert, Annalena
%A Angerbauer, Katrin
%A Schwarzl, Magdalena
%A Sedlmair, Michael
%B Proceedings of the Symposium on Eye Tracking Research & Applications-Short Papers (ETRA-SP)
%D 2020
%I ACM
%K from:leonkokkoliadis visus:schwarma sfbtrr161 visus:streicaa A08 visus:angerbkn visus:sedlmaml 2020 visus
%N 51
%P 1-5
%R 10.1145/3379156.3391830
%T Comparing Input Modalities for Shape Drawing Tasks
%U https://doi.org/10.1145/3379156.3391830
%X With the growing interest in Immersive Analytics, there is also a need for novel and suitable input modalities for such applications. We explore eye tracking, head tracking, hand motion tracking, and data gloves as input methods for a 2D tracing task and compare them to touch input as a baseline in an exploratory user study (N=20). We compare these methods in terms of user experience, workload, accuracy, and time required for input. The results show that the input method has a significant influence on these measured variables. While touch input surpasses all other input methods in terms of user experience, workload, and accuracy, eye tracking shows promise in respect of the input time. The results form a starting point for future research investigating input methods.
%@ 9781450371346
@inproceedings{10.1145/3379156.3391830,
abstract = {With the growing interest in Immersive Analytics, there is also a need for novel and suitable input modalities for such applications. We explore eye tracking, head tracking, hand motion tracking, and data gloves as input methods for a 2D tracing task and compare them to touch input as a baseline in an exploratory user study (N=20). We compare these methods in terms of user experience, workload, accuracy, and time required for input. The results show that the input method has a significant influence on these measured variables. While touch input surpasses all other input methods in terms of user experience, workload, and accuracy, eye tracking shows promise in respect of the input time. The results form a starting point for future research investigating input methods.},
added-at = {2020-10-23T13:21:36.000+0200},
author = {Streichert, Annalena and Angerbauer, Katrin and Schwarzl, Magdalena and Sedlmair, Michael},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2b68b0cda0c94f1d4e44c8da08d6e92cd/sfbtrr161},
booktitle = {Proceedings of the Symposium on Eye Tracking Research & Applications-Short Papers (ETRA-SP)},
doi = {10.1145/3379156.3391830},
interhash = {8739360a42025ffa75faa92c99e14af6},
intrahash = {b68b0cda0c94f1d4e44c8da08d6e92cd},
isbn = {9781450371346},
keywords = {from:leonkokkoliadis visus:schwarma sfbtrr161 visus:streicaa A08 visus:angerbkn visus:sedlmaml 2020 visus},
number = 51,
pages = {1-5},
publisher = {ACM},
series = {ETRA '20 Short Papers},
timestamp = {2020-10-23T11:21:36.000+0200},
title = {Comparing Input Modalities for Shape Drawing Tasks},
url = {https://doi.org/10.1145/3379156.3391830},
year = 2020
}
