User Experience (UX) is a key factor and an opportunity for improvement in digital interfaces. Traditionally, it has been evaluated retrospectively through surveys and interviews. However, this is not always the optimal approach, as it does not measure UX at the moment of human-machine interaction and is therefore prone to human error due to inaccurate recall. Thus, physiological monitoring is emerging as a promising technique to assess UX during interactions. This paper aims to identify UX case studies carried out with physiological monitoring by means of a Systematic Literature Review (SLR). The results of the 33 UX case studies reviewed show that interest in incorporating physiological technologies in UX studies is growing and expanding into different fields. The electroencephalogram (EEG) was found to be the most used physiological tool, and the most used set of tools was the Galvanic Skin Response (GSR) with the electrocardiogram (ECG). In addition, the average number of participants was obtained depending on the physiological tool used. The research opportunities identified are: 1) the combination of different methods and tools in the assessment of UX, and 2), the validation of a sample size for UX tests performed with physiological monitoring
Keywords: User Experience (UX), evaluation, Systematic Literature Review (SLR), physiological monitorization
User Experience (UX) is a key factor and an opportunity for improvement in digital products. Traditionally, it has been evaluated retrospectively through surveys and interviews. However, retrospective and subjective evaluation is not in all cases the optimal approach, as it does not evaluate the UX at the time of human-machine interaction, and therefore may not project reality due to inaccurate recall.
Industry 4.0 is taking process automation to a whole new level, redefining the role of people and altering existing workplaces into as yet unknown formats. In this context, the operator will continue to be of great importance.
Datozen urteetan roboten eta pertsonen arteko bizikidetza handitzea espero da, eta ondorioz, beraien arteko interakzioa optimizatzea beharrezkoa izango da. Robotaren itxura estetikoa bere gaitasunen inguruko informazioa jasotzeko modurik ulergarriena da. Robot askok, pertsonekin hobeto interaktuatzeko itxura humanoidea izaten dute, era honetan pertsonen enpatia handitu egiten baita. Hala ere, robot humanoide hauen artean, estetika aldetik bi tendentzia aurki ditzakegu: itxura teknologikoa izaten dutenak eta pertsona itxura erreala dutenak. Pertsonen preferentzia inplizitua zein den jakiteko helburuarekin Asoziazio Inplizituen Testa (IAT) burutu da. Test honek pertsonen preferentziak ezagutzea ahalbidetu du, bai inplizituki eta baita esplizituki ere. Neurketa inplizituaren emaitzan giza itxurarekiko preferentzia nabarmendu da, eta, neurketa esplizituan, aldiz, itxura teknologikoarekiko preferentzia. Emaitzetan lortu den kontraesan honek etorkizuneko ikerketarako ildo interesgarriak azaleratzen ditu.
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