TY - GEN
T1 - Workload-based assessment of a user interface design
AU - Tremoulet, Patrice D.
AU - Craven, Patrick L.
AU - Regli, Susan Harkness
AU - Wilcox, Saki
AU - Barton, Joyce
AU - Stibler, Kathleeen
AU - Gifford, Adam
AU - Clark, Marianne
PY - 2009/10/28
Y1 - 2009/10/28
N2 - Lockheed Martin Advanced Technology Laboratories (LM ATL) has designed and developed a tool called Sensor-based Mental Assessment in Real Time (SMART), which uses physiological data to help evaluate human-computer interfaces (HCI). SMART non-intrusively collects and displays objective measures of cognitive workload, visual engagement, distraction and drowsiness while participants interact with HCIs or HCI prototypes. This paper describes a concept validation experiment (CVE) conducted to 1) demonstrate the feasibility of using SMART during user interface evaluations and 2) validate the EEG-based cognitive workload values derived from the SMART system by comparing them to three other measures of cognitive workload (NASA TLX, expert ratings, and expected workload values generated with Design Interactive's Multimodal Information Decision Support tool). Results from the CVE indicate that SMART represents a valuable tool that provides human factors engineers with a non-invasive, non-interrupting, objective method of evaluating cognitive workload.
AB - Lockheed Martin Advanced Technology Laboratories (LM ATL) has designed and developed a tool called Sensor-based Mental Assessment in Real Time (SMART), which uses physiological data to help evaluate human-computer interfaces (HCI). SMART non-intrusively collects and displays objective measures of cognitive workload, visual engagement, distraction and drowsiness while participants interact with HCIs or HCI prototypes. This paper describes a concept validation experiment (CVE) conducted to 1) demonstrate the feasibility of using SMART during user interface evaluations and 2) validate the EEG-based cognitive workload values derived from the SMART system by comparing them to three other measures of cognitive workload (NASA TLX, expert ratings, and expected workload values generated with Design Interactive's Multimodal Information Decision Support tool). Results from the CVE indicate that SMART represents a valuable tool that provides human factors engineers with a non-invasive, non-interrupting, objective method of evaluating cognitive workload.
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U2 - 10.1007/978-3-642-02809-0_36
DO - 10.1007/978-3-642-02809-0_36
M3 - Conference contribution
AN - SCOPUS:70350303062
SN - 364202808X
SN - 9783642028083
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 333
EP - 342
BT - Digital Human Modeling - Second International Conference, ICDHM 2009 - Held as Part of HCI International 2009, Proceedings
T2 - 2nd International Conference on Digital Human Modeling, ICDHM 2009. Held as Part of HCI International 2009
Y2 - 19 July 2009 through 24 July 2009
ER -