TY - JOUR
T1 - Using noninvasive brain measurement to explore the psychological effects of computer malfunctions on users during human-computer interactions
AU - Hirshfield, Leanne M.
AU - Bobko, Philip
AU - Barelka, Alex
AU - Hirshfield, Stuart H.
AU - Farrington, Mathew T.
AU - Gulbronson, Spencer
AU - Paverman, Diane
PY - 2014
Y1 - 2014
N2 - In today's technologically driven world, there is a need to better understand the ways that common computer malfunctions affect computer users. These malfunctions may have measurable influences on computer user's cognitive, emotional, and behavioral responses. An experiment was conducted where participants conducted a series of web search tasks while wearing functional near-infrared spectroscopy (fNIRS) and galvanic skin response sensors. Two computer malfunctions were introduced during the sessions which had the potential to influence correlates of user trust and suspicion. Surveys were given after each session to measure user's perceived emotional state, cognitive load, and perceived trust. Results suggest that fNIRS can be used to measure the different cognitive and emotional responses associated with computer malfunctions. These cognitive and emotional changes were correlated with users' self-report levels of suspicion and trust, and they in turn suggest future work that further explores the capability of fNIRS for the measurement of user experience during human-computer interactions.
AB - In today's technologically driven world, there is a need to better understand the ways that common computer malfunctions affect computer users. These malfunctions may have measurable influences on computer user's cognitive, emotional, and behavioral responses. An experiment was conducted where participants conducted a series of web search tasks while wearing functional near-infrared spectroscopy (fNIRS) and galvanic skin response sensors. Two computer malfunctions were introduced during the sessions which had the potential to influence correlates of user trust and suspicion. Surveys were given after each session to measure user's perceived emotional state, cognitive load, and perceived trust. Results suggest that fNIRS can be used to measure the different cognitive and emotional responses associated with computer malfunctions. These cognitive and emotional changes were correlated with users' self-report levels of suspicion and trust, and they in turn suggest future work that further explores the capability of fNIRS for the measurement of user experience during human-computer interactions.
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U2 - 10.1155/2014/101038
DO - 10.1155/2014/101038
M3 - Article
AN - SCOPUS:84901259231
SN - 1687-5893
VL - 2014
JO - Advances in Human-Computer Interaction
JF - Advances in Human-Computer Interaction
M1 - 101038
ER -