2015
DOI: 10.1016/j.chb.2015.06.015
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Eyeface: A new multimethod tool to evaluate the perception of conceptual user experiences

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Cited by 11 publications
(5 citation statements)
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References 10 publications
(9 reference statements)
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“…In recent decades, a lot of effort has been made to consider user perception during the design process. Proof of this is the large number of tools which have been developed based on the evaluation of user experience (Engage, 2006Lasa et al, 2015.). However, designers frequently fail to recognize the importance of object based evaluation.…”
Section: Visual Aesthetic Evaluationmentioning
confidence: 99%
“…In recent decades, a lot of effort has been made to consider user perception during the design process. Proof of this is the large number of tools which have been developed based on the evaluation of user experience (Engage, 2006Lasa et al, 2015.). However, designers frequently fail to recognize the importance of object based evaluation.…”
Section: Visual Aesthetic Evaluationmentioning
confidence: 99%
“…In order to reduce the lack of specific experience design evaluation tools, a new multi-method tool Eyeface (Lasa, Justel & Retegi, 2015) has been created to facilitate the understanding of user's perceptions in the conceptual phase.…”
Section: Eyefacementioning
confidence: 99%
“…Thus, and based on these keys, a new multimethod tool has recently been developed. It evaluates the ideas of experiences within the conceptual design phase, and it is called Eyeface tool (Lasa, Justel & Retegi, 2015). A tool that evaluates by combining two independent biometric devices: Eye-tracking and Facereader.…”
Section: Introductionmentioning
confidence: 99%
“…Traditional QoE/UX evaluation mechanisms are subjective by nature because they are based on techniques that depend on users’ reports and evaluators’ analysis influenced by their perception, criteria, and experience, among other personal factors [ 7 , 8 , 9 , 10 ]. Several evaluation approaches have been proposed for complementing subjective techniques with quality ratings or mental states inferred from user’s physiological and behavioral data (e.g., [ 11 , 12 , 13 , 14 ]). Even though research has been done to interpret the mental states of users when performing certain activities—even critical ones, such as driving, piloting, and air traffic control (e.g., [ 15 , 16 , 17 ])—the relations between these states and elements of an interface or interaction mechanisms have yet to be identified and adequately represented.…”
Section: Introductionmentioning
confidence: 99%