The Implementation of Attention Distraction Test Software

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Published: Aug 31, 2023
DOI: https://doi.org/10.28932/humanitas.v7i2.7410
Keywords:
Atensi, Distraksi, Perangkat Lunak Self Focused Attention, Distraction, Software

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Aan Darmawan Hangkawidjaja
Fakultas Teknik, Universitas Kristen Maranatha, Bandung, Indonesia
Ratnadewi Ratnadewi
Fakultas Teknik, Universitas Kristen Maranatha, Bandung, Indonesia
Priska Analya
Fakultas Psikologi, Universitas Kristen Maranatha, Bandung, Indonesia
Ira Adelina
Fakultas Psikologi, Universitas Kristen Maranatha, Bandung, Indonesia

Abstract

Attention distraction test (ADT) is a tool that measures attention. ADT has lights in form of a box which can be adjusted how many lights can be turned on. The distraction of this test comes in form of the presence of other lights around the targeted lights. The aim of this study is to test the software implementation of attention and distraction test.  Importance of the study are ADT limitations in variation of the distraction and recording the answer.  ADT goes through two stages, first is testing all devices function.  Second, design will be tested on respondents to analyze the results. If improvements are still needed, design and improvements will be made. Results show software can be used properly to measure a person's attention level. If respondent  answer correctly and the reaction time is faster, it means that respondent has a better level of attention. Suggestions is to add respondent personal background, alternative colors of distraction lights and complete the data recap with sum of the correct answers and average time reaction.

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How to Cite
Hangkawidjaja, A. D., Ratnadewi, R., Analya, P., & Adelina, I. (2023). The Implementation of Attention Distraction Test Software. Humanitas (Jurnal Psikologi), 7(2), 163–178. https://doi.org/10.28932/humanitas.v7i2.7410
Issue
Vol. 7 No. 2 (2023)
Section
Articles
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

References

Capovilla, A. G. S., Montiel, J. M., Macedo, E. C., & Charin, S. (2005). Computerized Stroop Test.

Christianty, A. R., Ramadhanti, A. ., Arsanty, D. ., Citra, I. ., Phalitamadana, M., & Kristhi, N. . (2015). Pengaruh Distraksi terhadap Atensi Mahasiswa Binus.

Fanuel, M., & Yan, K. (2014). Panduan Praktikum Psikologi Dasar (Diktat).

Forster, S., & Lavie, N. (2014). Distracted by your mind? Individual differences in distractibility predict mind wandering. Journal of Experimental Psychology: Learning Memory and Cognition, 40(1), 251–260. https://doi.org/10.1037/a0034108

Gelasca, E. D., Tomasic, D., & Ebrahimi, T. (2005). Which colors best catch your eyes: a subjective study of color saliency. First International Workshop on Video Processing and Quality Metrics for Consumer Electronics VPQM-05, January, 16. %5CLibrary%5CGelascaTomasic2005.pdf

Geva, R., Zivan, M., Warsha, A., & Olchik, D. (2013). Alerting, orienting or executive attention networks: Differential patters of pupil dilations. Frontiers in Behavioral Neuroscience, 7(OCT), 1–11. https://doi.org/10.3389/fnbeh.2013.00145

Grahanantyo, Y. ., & Kusrohmaniah, S. (2018). Pengaruh Mindfulness Meditation Training terhadap Atensi Selektif pada Siswa SMP. Gadjah Mada Journal of Professional Psychology (GamaJPP), 6(1), 30. https://doi.org/10.22146/gamajpp.53189

Kartono, K. (1996). Psikologi Umum. Mandar Maju.

Krisnanda, M. A., Hasianna, S. T., & Limyati, Y. (2020). Peningkatan Fungsi Atensi dan Memori Jangka Pendek pada Wanita Dewasa Muda dengan Ansietas setelah Terapi Mewarnai. Journal of Medicine and Health, 2(5). https://doi.org/10.28932/jmh.v2i5.2030

Meier, M. E. (2021). Testing the attention-distractibility trait these associations are distinct from those found among. March, 1490–1504.

Neumann, E., & DeSchepper, B. G. (1991). Costs and Benefits of Target Activation and Distractor Inhibition in Selective Attention. Journal of Experimental Psychology: Learning, Memory, and Cognition, 17(6), 1136–1145. https://doi.org/10.1037/0278-7393.17.6.1136

Pinnow, D. A., Hubbard, H. I., & Meulenbroek, P. A. (2021). Computer- Assessment of Attention and Memory Utilizing Ecologically Valid Distractions: A Scoping Review. Frontiers in Virtual Reality, 2(July), 1–13. https://doi.org/10.3389/frvir.2021.685921

Redick, T. S., & Engle, R. W. (2006). Working memory capacity and attention network test performance. Applied Cognitive Psychology, 20(5), 713–721. https://doi.org/10.1002/acp.1224

Stemberg, R. J., & Mio, J. S. (2008). Cognitive psychology. In Cengage Learning (5th ed.). Cengage Learning.

Sternberg, R.J, & Mio, J. (2008). Cognitive Psychology (5th ed.). Cengage Learning, 2008.

Sternberg, Robert J., & Sternberg, K. (2012). Cognitive Psychology. Cencage Learning.

Stokes, J. D., Rizzo, A., Geng, J. J., & Schweitzer, J. B. (2022). Measuring Attentional Distraction in Children With ADHD Using Virtual Reality Technology With Eye-Tracking. Frontiers in Virtual Reality, 3. https://doi.org/10.3389/frvir.2022.855895

Strom, P. S., Strom, R. D., Sindel-Arrington, T., & Rude, R. V. (2023). Student Attention and Distraction in Community College. Journal of Educational and Developmental Psychology, 13(1), 41. https://doi.org/10.5539/jedp.v13n1p41

Walgito, B. (2010). Pengantar psikologi umum (Edisi ke e). Andi Offset.