Respostas emocionais na interação física entre usuários e produtos

EEG como alternativa metodológica - estudo de caso

Autores

DOI:

https://doi.org/10.29147/datjournal.v11i2.1036

Palavras-chave:

Design de Produto, Resposta Emocional, Eletroencefalografia, Valencia

Resumo

Métodos de Design dependem de instrumentos que avaliam as respostas emocionais como componentes da usabilidade das interfaces. Entre os instrumentos fisiológicos destaca-se a eletroencefalografia (EEG), a qual baseia-se em tecnologias computacionais e na neurociência. Entretanto a aplicação do EEG nos processos de interação física entre usuários e produtos é incipiente. O presente estudo de caso objetivou avaliar as respostas emocionais na interação física entre usuários e produtos, visando verificar se o design dos produtos influenciam os valores (Alpha µV²) e as valências emocionais. De caráter experimental, aplicado e com amostra de conveniência (n=2), o EEG foi empregado durante a interação física com quatro produtos de uso cotidiano; e os dados analisados a partir de princípios da “assimetria cortical”. Os resultados apontam que não houve diferença significativa (p>0,05) entre Left Alpha µV² e Right Alpha µV², para nenhum dos produtos, apesar de diferenças maiores que 10%, tanto na análise geral para cada produto, como para cada uma das etapas de interação, impactando na valência alcançada. O EEG demonstrou-se viável na avaliação da valência, em atividades reais.

Downloads

Não há dados estatísticos.

Biografia do Autor

Luis Carlos Paschoarelli, UNESP

Full Professor, School of Architecture, Arts, Communication and Design, Unesp.

Gabriel Henrique Cruz Bonfim, UFU

Associate Professor, Faculty of Architecture, Urbanism and Design, UFU.

Erica Pereira das Neves, Unesp

Assistant Professor, School of Architecture, Arts, Communication and Design, Unesp.

Fausto Orsi Medola, Unesp

Associate Professor, School of Architecture, Arts, Communication and Design, Unesp.

Referências

ACHARYA, Jayant; HANI, Abeer; CHEEK, Janna; THIRUMALA, Parthasaraty; TSUCHIDAK, Tammy. American Clinical Neurophysiology Society Guideline 2: Guidelines for Standard Electrode Position Nomenclature. Journal of Clinical Neurophysiology, v.33, n. 04, p. 308-311, 2016. DOI: https://doi.org/10.1080/21646821.2016.1245558.

AGUIAR, Débora; NASCIMENTO FILHO, Paulo; MOREIRA, Amanda; ALVES, Gabriella; HOTTA, Gisele; SANTOS-JÚNIOR, Francisco. People with amputation and musculoskeletal pain show reduced electrical activity of Alpha brain waves: cross-sectional study. Brazilian Journal of Pain, v. 05, n. 03, p. 226-232, 2022. DOI: http://dx.doi.org/10.5935/2595-0118.20220040-en.

ALBUQUERQUE, Thayse; NASCIMENTO FILHO, Paulo; MESQUITA, Yara; OLIVEIRA, Liana; HOTTA, Gisele; OLIVEIRA, Francisco; SANTOS-JÚNIOR, Francisco. Modulation of Brain Waves in Spinal Cord Injury Patients With Pain: Cross-Sectional Analysis. Coluna/Columna, v. 22, n. 04, 2023. DOI: https://doi.org/10.1590/s1808-185120222204276734

ALVES, Nelson; AZNAR-CASANOVA, Jose; FUKUSIMA, Sergio. Patterns of brain asymmetry in the perception of positive and negative facial expressions. Laterality, v. 14, n. 03, p. 256–272, 2009. DOI: https://doi.org/10.1080/13576500802362927

ALVES, Nelson; FUKUSIMA, Sergio; AZNAR-CASANOVA, Jose. Models of brain asymmetry in emotional processing. Psychology & Neuroscience, v 01, n. 01, p. 63–66, 2008. DOI: https://doi.org/10.3922/j.psns.2008.1.010

BARROS, Catarina; PEREIRA, Ana; SAMPAIO, Adriana; BUJÁN, Ana; PINAL, Diego. Frontal Alpha Asymmetry and Negative Mood: A Cross-Sectional Study in Older and Younger Adults. Symmetry, v. 18, n. 8; a. 1579, 2022. DOI: https://doi.org/10.3390/sym14081579

BERKMAN, Elliot; LIEBERMAN, Matthew. Approaching the bad and avoiding the good: Lateral prefrontal cortical asymmetry distinguishes between action and valence. Journal of Cognitive Neuroscience, v. 22, n. 9, p. 1970-1979, 2010. DOI: https://doi.org/10.1162/jocn.2009.21317

BIASIUCCIL, Andrea; FRANCESCHIELLO, Benedetta; MURRAY, Micah. Electroencephalography. Current Biology, v. 29, n. 03, a. p.R80-R85, 2019. DOI: https://doi.org/10.1016/j.cub.2018.11.052

CHOI, Ga-Young; SHIN, Jong-Gyu; LEE, Ji-Yoon; LEE, Jun-Seok; HEO, In-Seok, YOON, Ha-Ye-ong; LIM, Wansu; JEONG, Jin-Woo; KIM, Sang-Ho; HWANG, Han-Jeong. EEG Dataset for the Recognition of Different Emotions Induced in Voice-User Interaction. Scientific Data,v. 11, a. 1084, 2024. DOI: https://doi.org/10.1038/s41597-024-03887-9

DAMÁSIO, António. A estranha ordem das coisas: as origens biológicas dos sentimentos e da cultura. São Paulo: Companhia das Letras, 2018. 344p.

DAMÁSIO, António. O erro de Descartes: emoção, razão e o cérebro humano. São Paulo: Companhia das Letras, 2012. 264p.

DAMÁSIO, António. Sentir e saber: as origens da consciência. São Paulo: Companhia das Letras, 2022. 200p.

DARWIN, Charles. The Expression of the Emotions in Man and Animals. Cambridge, Cambridge University Press, 2009, 424p.

DAVIDSON, Richard. Affective Neuroscience: A Case for Interdisciplinary Research. In Frank Kessel, Patricia Rosenfield, and Norman Anderson (eds), Interdisciplinary Research: Case Studies from Health and Social Science. New York, Oxford Academic, 2008. DOI: https://doi.org/10.1093/acprof:oso/9780195324273.003.0009

DAVIDSON, Richard. Neuropsychological perspectives on affective styles and their cognitive consequences. In: T. Dalgleish & M. J. Power (Eds.), Handbook of cognition and emotion (pp. 103–123). John Wiley & Sons Ltd. 1999. DOI: https://doi.org/10.1002/0470013494.ch6

ERAT, K.; ŞAHIN, Elif; DOGAN, Furkan; MERDANOGLU, Nur; AKCAKAYA, Ahmet; DURDU,

Pınar. Emotion recognition with EEG-based brain-computer interfaces: a systematic

literature review. Multimedia Tools and Applications, v. 83, p. 79647–79694, 2024. DOI:

https://doi.org/10.1007/s11042-024-18259-z

FREY, Jérémy; MÜHL, Christian; LOTTE, Fabien; HACHET, Martin. Review of the Use of Elec-

troencephalography as an Evaluation Method for Human-Computer Interaction. Pro-

ceedings of the International Conference on Physiological Computing Systems PhyCS, v. 01,

p. 214-223, 2014. DOI: https://doi.org/10.5220/0004708102140223

GADA, Tina; CHUDASAMA, Shreya. The role of user experience in effective product de-

sign exercise: strategies for incorporating user centric approaches and data analysis

with business intelligence. International Research Journal of Modernization in Enginee-

ring Technology and Science, v. 06, n. 05, p. 6856-6860, 2024. DOI: https://doi.org/10.56726/

IRJMETS56245

GKINTONI, Evgenia; AROUTZIDIS, Anthimos; ANTONOPOULO, Hera; HALKIOPOULOS, Cons-

tantinos. From Neural Networks to Emotional Networks: A Systematic Review of EEG-

Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications.

Brain Sciences, v. 15, n. 03, 220, 2024. DOI: https://doi.org/10.3390/brainsci15030220

GUO, Fu; DING, Yi; WANG, Tianbo; LIU, Weilin; JIN, Haizhe. Applying event related po-

tentials to evaluate user preferences toward smartphone form design. InternationalJournal of Industrial Ergonomics, v. 54, p. 57-64, 2016. DOI: https://doi.org/10.1016/j.er-

gon.2016.04.006

GUO, Fu; LI, Mingming; HU, Mingcai; LI, Fengxiang; LIN, Bozhao. Distinguishing and quan-

tifying the visual aesthetics of a product: an integrated approach of eye-tracking and

EEG. International Journal of Industrial Ergonomics, v. 71, p. 47-56, 2019. DOI: https://doi.

org/10.1016/j.ergon.2019.02.006

HARMON-JONES, Eddie. Clarifying the emotive functions of asymmetrical frontal cortical

activity. Psychophysiology, v. 40, n. 6, p. 838-848, 2003. DOI: https://doi.org/10.1111/1469-

8986.00121

HARMON-JONES, Eddie; GABLE, Philip; PETERSON, Carly. The role of asymmetric frontal

cortical activity in emotion-related phenomena: A review and update. Biological Psy-

chology, v. 84, n. 3, p. 451-462, 2010. DOI: https://doi.org/10.1016/j.biopsycho.2009.08.010

HESKETT, John. Toothpicks and Logos: Design in Everyday Life. Oxford, Oxford Univer-

sity Press, 2002. 224p.

HOUSSEIN, Essam, HAMMAD, Asmaa; ALI, Abdelmgeid. Human emotion recognition

from EEG-based brain–computer interface using machine learning: a comprehensi-

ve review. Neural Computing and Applications, v. 34, p. 12527–12557, 2022. https://doi.

org/10.100

7/s00521-022-07292-4

JONES, Nancy; FOX, Nathan. Electroencephalogram asymmetry during emotionally evocative films and its relation to positive and negative affectivity. Brain and Cognition, v. 20, n. 02, p. 280–299, 1992. DOI: https://doi.org/10.1016/0278-2626(92)90021-D

KIM, Nayeon, CHUNG, Seohyeon; KIM, Da. Exploring EEG-based Design Studies: A Systematic Review. Archives of Design Research, v. 35, n. 04, p. 91-113, 2022. DOI: http://dx.doi.org/10.15187/adr.2022.11.35.4.91

LANUTTI, Jamille; PASCHOARELLI, Luis. Avaliação de produto de uso cotidiano por meio de critérios de usabilidade: espremedores de fruta. Human Factors in Design, .v. 4, n. 7, p. 003–015, 2015. URL: https://www.revistas.udesc.br/index.php/hfd/article/view/6062

LEES, Ty; RAM, Nilam; SWINGLER, Margaret; GATZKE-KOPP, Lisa. The effect of hair type and texture on electroencephalography and event-related potential data quality. Psychophysiology, v. 61, a. e14499. 2024. DOI: https://doi.org/10.1111/psyp.14499

LEES-MAFFEI, Grace. Juicy Salif Lemon Squeezer, Italy/France (Philippe Starck, 1990). In: Iconic Designs: 50 stories about 50 things. London: Bloomsbury Design Library, p. 184-187, 2014. DOI: https://doi.org/10.5040/9781474293921.ch-039

LI, Xiang; ZHANG, Yazhou; TIWARI, Prayag; SONG, Dawei; HU, Bin; YANG, Meihong; ZHAO, Zhigang; KUMAR, Neeraj; MARTTINEN, Pekka. EEG Based Emotion Recognition: A Tutorial and Review. ACM Computing Surveys, v. 55, n. 4, p. 1–57, 2022. DOI: https://doi.org/10.1145/3524499

LUCCAS, Francisco; BRAGA, Nadia; SILVADO, Carlos. Recomendações técnicas para o registro do eletrencefalograma (EEG) na suspeita da morte encefálica. Arquivos de Neuro-psiquiatria, v. 56, n. 3B, 1998. DOI: https://doi.org/10.1590/S0004-282X1998000400030

MISHRA, Prabhaker; PANDEY, Chandra; SINGH, Uttam; GUPTA, Anshul; SAHU, Chinmoy; KE-SHRI, Amit. Descriptive Statistics and Normality Tests for Statistical Data. Annals of Cardiac Anaesthesia, v. 22, n. 1, p. 67–72, 2019. DOI: https://doi.org/10.4103/aca.ACA_157_18

MOON, Seong-Eun; KIM,Jun-Hyuk; KIM, Sun-Wook; LEE, Jong-Seok. Prediction of car design perception using EEG and gaze patterns. IEEE Transactions on Affective Computing, v. 12, n. 04, p. 84–856, 2019. DOI: https://doi.org/10.1109/TAFFC.2019.2901733

NASCIMENTO, Lisandra Batista do. Avaliação afetiva de produtos de cutelaria: o estudo de caso da marca Herdmar - PT [Dissertação de Mestrado em Design]. Recife, Universidade Federal de Pernambuco, 2024. URI: https://repositorio.ufpe.br/handle/123456789/64946

PALINKAS, Lawrence; HORWITZ, Sara; GREEN, Carla; WISDOM, Jennifer; DUAN, Naihua; HO-AGWOOD, Kimberly. Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research. Administration and Policy in Mental Health and Mental Health Services Research, v. 42, n. 05, p. 533–544 , 2015. DOI: https://doi.org/10.1007/s10488-013-0528-y

RUSSO, Bernard; Moraes, Anamaria. (2003). The Usability of Iconic Designs a Case Study of Juicy Salif. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, v. 47, n. 5, p. 844-847, 2003. DOI: https://doi.org/10.1177/154193120304700512

SCHERER, Klaus; EKMAN, Paul. Approaches to Emotion. Abingdon, Psychology Press, 1984. 440p.

SOROUSH, Morteza; ZENG, Yong. EEG-based study of design creativity: a review on research design, experiments, and analysis. Frontiers in Behavioral Neuroscience, v. 18, a. 1331396, 2024. DOI: https://doi.org/10.3389/fnbeh.2024.1331396

SUGIONO, Sugiono; PUTRA, Andi; PRASETYA, Renaldi; FANANI, Angga; CAHYAWATI, Amanda; OKTAVIANTY, Oke. A new concept of product design by involving emotional factors using EEG: a case study of computer mouse design. Acta Neuropsychologica, v. 19, n. 01, P. 63–80, 2021. DOI: https://doi.org/10.5604/01.3001.0014.7021

WAGER, Tor; PHAN, Kinh; LIBERZON, Israel; TAYLOR, Stephan. Valence, gender, and lateralization of functional brain anatomy in emotion: a meta-analysis of findings from neuroimaging. Neuroimage, v. 19, n. 3, p. 513–531, 2003. DOI: https://doi.org/10.1016/s1053-8119(03)00078-8

YILMAZ, Bülent; KORKMAZ, Sümeyye; ARSLAM, Dilek; GÜNGÖR, Evrim; ASYALI Musa. Like/dislike analysis using EEG: determination of most discriminative channels and frequencies. Computer Methods and Programs in Biomedicine, v. 113, n. 2; p. 705–713, 2014. DOI: https://doi.org/10.1016/j.cmpb.2013.11.010

YU, Chaofei; WANG, Mei. Survey of emotion recognition methods using EEG information. Cognitive Robotics, v. 02, p. 132-146, 2022. DOI: https://doi.org/10.1016/j.cogr.2022.06.001

ZHANG, Zhihui; FORT, Josep; GIMÉNEZ MATEU, Lluis. Mini review: Challenges in EEG emotion recognition. Frontiers in Psychology, v. 14, 2024. DOI: https://doi.org/10.3389/fpsyg.2023.1289816

ZHU, Siyu; QI, Jin; HU, Jie; HAO, Sheng. A new approach for product evaluation based on integration of EEG and eye-tracking. Advanced Engineering Informatics, v. 52, a. 101601, 2022. DOI: https://doi.org/10.1016/j.aei.2022.101601

Capa da publicação científica DAT Journal (Design, Art and Technology Journal). No topo, destaca-se a tipografia em caixa alta e verde-limão com o nome da revista, intercalada pelo logotipo estilizado "dat]" em minúsculas. Abaixo do título, encontra-se a identificação da edição: "v.11 n.2 2026". A composição visual apresenta um fundo gráfico abstrato com formas geométricas e texturas digitais contrastantes.

Downloads

Publicado

2026-08-28

Como Citar

Paschoarelli, L. C., Bonfim, G. H. C., Neves, E. P. das, & Medola, F. O. (2026). Respostas emocionais na interação física entre usuários e produtos: EEG como alternativa metodológica - estudo de caso. DAT Journal, 11(2), 151–167. https://doi.org/10.29147/datjournal.v11i2.1036

Edição

v. 11 n. 2 (2026): Design, Art and Technology

Seção

Artigos

Licença

Copyright (c) 2026 DAT Journal

Creative Commons License
Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.