@ARTICLE{FATHIMAHHAYATI_Lina_Dianati_A_2024,
 author={FATHIMAHHAYATI, Lina Dianati and TRAPSILAWATI, Fitri and ARDIYANTO, Ardiyanto and HERIANTO, Herianto},
 volume={Vol. 15},
 number={No 4},
 journal={Management and Production Engineering Review},
 howpublished={online},
 year={2024},
 publisher={Production Engineering Committee of the Polish Academy of Sciences, Polish Association for Production Management},
 abstract={The study employs a bibliometric approach, analyzing global literature from the Scopus database related to user acceptance based on emotional responses to products. Initially, 749 documents were identified, narrowed down to 378 final-stage journal articles published in English. The data collected comprises information from the last 10 years (2013–2023). These were analyzed using Vos Viewer for bibliometric network visualization and R-biblioshiny for additional analysis. The research, conducted in November 2023, used the following specific search strings (TITLE-ABS-KEY (“Emotional response”) AND TITLE-ABS-KEY (product* OR device*) AND TITLE-ABS-KEY (measur* OR assess* OR evaluat*)). The study highlights the increasing research on emotional responses to products, with a 9.6% annual growth in publications. While the USA, UK, Spain, and Australia lead in this field. Five topic clusters identified involve emotional response measurement, behavior related to product acceptability, the user of the product, behavioral symptoms, and emotion psychology. Emerging areas include consumer goods and product design, with a future focus on physiological assessment, emotional reaction’s impact on design, and consumer purchase intentions. Density visualization suggests further exploration in wearable technology, purchase intentions, and emotional response measurements like electroencephalography, electromyography, electrophysiology, facial expression, and skin conductance.},
 title={A Ten-Year Bibliometric Analysis of Emotional Responses to Products as Indicators of User Acceptance},
 URL={http://czasopisma.pan.pl/Content/134029/PDF-MASTER/1045_4k.pdf},
 keywords={bibliometric analysis, Emotional Response, User Acceptance, products, VosViewer},
}