Academic literature on the topic 'Self –Assessment Manikin'
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Journal articles on the topic "Self –Assessment Manikin"
Bradley, Margaret M., and Peter J. Lang. "Measuring emotion: The self-assessment manikin and the semantic differential." Journal of Behavior Therapy and Experimental Psychiatry 25, no. 1 (March 1994): 49–59. http://dx.doi.org/10.1016/0005-7916(94)90063-9.
Full textBrito, Henrique, Diogo Teixeira, and Duarte Araújo. "Translation and Construct Validity of the Feeling Scale and the Felt Arousal Scale in Portuguese Recreational Exercisers." Cuadernos de Psicología del Deporte 22, no. 3 (August 20, 2022): 103–13. http://dx.doi.org/10.6018/cpd.514061.
Full textHandayani, Dini, Abdul Wahab, and Hamwira Yaacob. "Recognition of Emotions in Video Clips: The Self-Assessment Manikin Validation." TELKOMNIKA (Telecommunication Computing Electronics and Control) 13, no. 4 (December 1, 2015): 1343. http://dx.doi.org/10.12928/telkomnika.v13i4.2735.
Full textBacks, Richard W., Sergio P. da Silva, and Kyunghee Han. "A Comparison of Younger and Older Adults' Self-Assessment Manikin Ratings of Affective Pictures." Experimental Aging Research 31, no. 4 (October 2005): 421–40. http://dx.doi.org/10.1080/03610730500206808.
Full textAlbin, Catherine S. W., Emil Petrusa, James A. Gordon, Deepa Malaiyandi, and Sahar F. Zafar. "Curriculum Innovations: How Real Is Real Enough?" Neurology: Education 1, no. 1 (September 2022): e200004. http://dx.doi.org/10.1212/ne9.0000000000200004.
Full textMurdoch, Maureen, Melissa Ruth Partin, Derek Vang, and Shannon Marie Kehle-Forbes. "The Psychological Risk of Minimal Risk Activities: A Pre- and Posttest Study Using the Self-Assessment Manikin." Journal of Empirical Research on Human Research Ethics 14, no. 1 (November 8, 2018): 15–22. http://dx.doi.org/10.1177/1556264618810302.
Full textLiao, Dan, Lin Shu, Guodong Liang, Yingxuan Li, Yue Zhang, Wenzhuo Zhang, and Xiangming Xu. "Design and Evaluation of Affective Virtual Reality System Based on Multimodal Physiological Signals and Self-Assessment Manikin." IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology 4, no. 3 (September 2020): 216–24. http://dx.doi.org/10.1109/jerm.2019.2948767.
Full textLasaitis, Cristina, Rafaela Larsen Ribeiro, Marcelo Ventura Freire, and Orlando Franscisco Amodeo Bueno. "Atualização das normas brasileiras para o International Affective Picture System (IAPS)." Revista de Psiquiatria do Rio Grande do Sul 30, no. 3 (December 2008): 230–35. http://dx.doi.org/10.1590/s0101-81082008000400012.
Full textSutton, Tina M., Andrew M. Herbert, and Dailyn Q. Clark. "Valence, arousal, and dominance ratings for facial stimuli." Quarterly Journal of Experimental Psychology 72, no. 8 (February 13, 2019): 2046–55. http://dx.doi.org/10.1177/1747021819829012.
Full textPahlavan, F., and T. Lubart. "Motivational Effects of Success Or Failure Feedback on the Perception of Affective Pictures." Psychological Reports 100, no. 2 (April 2007): 585–603. http://dx.doi.org/10.2466/pr0.100.2.585-603.
Full textDissertations / Theses on the topic "Self –Assessment Manikin"
Lee, Michael Alexander. "Smelling How to Feel: The Role of Ambient Odor and Olfaction in Affective Experience and Evaluation." University of Dayton / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1596730510296594.
Full textPoalses, Jacolize. "An investigation into the advantage of non–verbal measurement of emotion in television advertisements across South African generation / Poalses J." Thesis, North-West University, 2011. http://hdl.handle.net/10394/7291.
Full textThesis (M.A. (Research Psychology))--North-West University, Potchefstroom Campus, 2012.
Creemers, Warren. "On the Recognition of Emotion from Physiological Data." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2013. https://ro.ecu.edu.au/theses/680.
Full textMogaji, Emmanuel. "Emotional appeals in UK banks' print advertisement." Thesis, University of Bedfordshire, 2016. http://hdl.handle.net/10547/622103.
Full textWei-TingYeh and 葉韋廷. "A Research of Emotional Speech in Medicare Product Design Using Self – Assessment Manikin." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/02591559191883715012.
Full text國立成功大學
工業設計學系碩博士班
100
This research apply a scale called SAM (Self–Assessment Manikin), and using the purpose of medicare to be an applied speech case accord with the future trends to aim at Chinese speech in the structure of Kansei Engineering. It will be established the emotional relationship between speech types and auditory perception. The directions of emotional products design will also be focused gradually in the future, and further to consider users of auditory senses from economic consumer demands. First, to find out basic component properties of changes and impact for the emotional speech, an emotional scale with three dimensions as pleasure, arousal, and dominance is used. Second, classifying all speech types of auditory perception completely through the cluster process. Finally, identifying actual correlations and influence value by Quantification Theory Type I. Results confirmed that characteristic variations of speech as the main reason for emotional differences generated. Then it had distinguished speech into four auditory perception types (I. Low Pleasure & Low Arousal & Low Dominance; II. Low Arousal & Low Dominance; III. High Arousal; IV. High Pleasure), also suggested the “High Pleasure” for the choice direction and proposed an applicable indicator (includes three variables of gender, pitch, speed) for emotional speech at the same time. That’s beneficial to facilitate the development process of human-machine interactive products design in the future. Giving designers an effective direction of select for speech types, besides stimulating more applications and developments used in the products with domestic speech technologies.
Chen, Jing-Ming, and 陳靖明. "Speech Emotion Recognition Based on Joint Training by Self-Assessment Manikins and Emotion Labels." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/a7m6ws.
Full text國立中央大學
通訊工程學系
107
With the development of artificial intelligence, the interaction between humans and machines has become more and more often, such as chat robots or home care systems, which are common human-computer interaction applications. Emotional recognition can improve the interaction between man and machine, and can also apply the emotional recognition of the robot to medical aspects, such as emotional identification of patients. The objective of this work is to develop a speech emotion recognition system by learning the emotional characteristics of audio using deep learning. In this work, we propose a system that can recognize speech emotion and use both regression models and classification models. This speech emotion recognition technology can achieve the accuracy of 64.70% in the dataset of script and improvised mixed scenes. If the dataset has only impromvised scenes, the accuracy can reach 66.34%. Compared with the characteristics of uncombined mental state, the accuracy of this technology is increased by 2.95% and 2.09%, respectively. So the characteristics of mental state can effectively help the speech emotion recognition.
Book chapters on the topic "Self –Assessment Manikin"
Bynion, Teah-Marie, and Matthew T. Feldner. "Self-Assessment Manikin." In Encyclopedia of Personality and Individual Differences, 4654–56. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_77.
Full textBynion, Teah-Marie, and Matthew T. Feldner. "Self-Assessment Manikin." In Encyclopedia of Personality and Individual Differences, 1–3. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-28099-8_77-1.
Full textConference papers on the topic "Self –Assessment Manikin"
Hayashi, Elaine C. S., Julián E. Gutiérrez Posada, Vanessa R. M. L. Maike, and M. Cecília C. Baranauskas. "Exploring new formats of the Self-Assessment Manikin in the design with children." In IHC '16: XV Brazilian Symposium on Human Factors in Computing Systems. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/3033701.3033728.
Full textXie, Tianhua, Mingliang Cao, and Zhigeng Pan. "Applying Self-Assessment Manikin (SAM) to Evaluate the Affective Arousal Effects of VR Games." In ICIGP 2020: 2020 3rd International Conference on Image and Graphics Processing. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3383812.3383844.
Full textAlexandra Silva, Rute, Iara Margolis, Isabel Lisboa, Eduarda Pereira, Bernardo Providência, and Nelson Costa. "Emotional responses to motion sickness in autonomous driving." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001776.
Full textGrimm, M., and K. Kroschel. "Evaluation of natural emotions using self assessment manikins." In IEEE Workshop on Automatic Speech Recognition and Understanding, 2005. IEEE, 2005. http://dx.doi.org/10.1109/asru.2005.1566530.
Full textChen, Jing-Ming, Pao-Chi Chang, and Kai-Wen Liang. "Speech Emotion Recognition Based on Joint Self-Assessment Manikins and Emotion Labels." In 2019 IEEE International Symposium on Multimedia (ISM). IEEE, 2019. http://dx.doi.org/10.1109/ism46123.2019.00073.
Full textTrindade, Yanick, Francisco Rebelo, and Paulo Noriega. "Measuring emotion, interaction, and cultural outcomes after a VR game: The case of São Tomé." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001968.
Full textSiegert, I., R. Bock, B. Vlasenko, D. Philippou-Hubner, and A. Wendemuth. "Appropriate emotional labelling of non-acted speech using basic emotions, geneva emotion wheel and self assessment manikins." In 2011 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2011. http://dx.doi.org/10.1109/icme.2011.6011929.
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