journal article·2021-02-01Open access

Towards Detection of Interest Using Physiological Sensors

Areej Babiker, Yahia Baashar, Ammar Ahmed Alkahtani, Ibrahima Faye, Gamal Alkawsi

Applied Sciences· Volume 11· Issue 3

Abstract

The positive effects of interest on different aspects, e.g., learning and education, economy, psychological well-being, and social relations, have been widely addressed by many psychological and physiological studies in the last two decades. While the psychological work has investigated this impact of interest theoretically, the physiological studies have focused more on the modulatory effects. However, some studies have addressed both sides of the effects. In this work, we conduct a comprehensive review of physiological studies on interest detection, from different perspectives carried out between 2003 and 2019. A lack of connection between the psychological and physiological studies was identified. Therefore, this paper aims to integrate the unique psychological and physiological aspects and characteristics of interest to form a base for future research by considering the pros and cons of the included studies. For example, considering the two types of interest (situational and individual) the detected interest in learning, gaming, and advertisement’s physiological experiments could be referring specifically to situational interest. Hence, bridging the gap between both physiological and psychological studies is essential for improving the research on interest. Furthermore, we propose several suggestions for future work direction.
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Research context

OpenAlex topics: Psychological and Educational Research Studies · Mind wandering and attention · Educational Strategies and Epistemologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Electronic Engineering Department, Future University, Khartoum, Sudan

College of Graduate Studies, Universiti Tenaga Nasional, Kajang 43000, Malaysia

Institute of Sustainable Energy (ISE), Universiti Tenaga Nasional, Kajang 43000, Malaysia

Center for Intelligent Signal and Imaging Research (CISIR), Fundamental and Applied Science Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia

Funding

Universiti Tenaga Nasional

References (97)

Show source-provided references
1. Krapp, A. (1989, January 1). Interest, learning and academic achievement. Proceedings of the Task Motivation by Interest, Symposium Conducted at the Meeting of the Third European Conference of Learning and Instruction (EARLI), Madrid, Spain.
2. Situational interest and academic achievement in the active-learning classroom10.1016/j.learninstruc.2009.11.001 ↗
3. The Importance of Interest: The Role of Achievement Goals and Task Values in Promoting the Development of Interest10.1111/j.1751-9004.2009.00207.x ↗
4. Interest—The curious emotion10.1111/j.1467-8721.2008.00548.x ↗
5. Interest, Learning, and Motivation10.1080/00461520.1991.9653136 ↗
6. Interest: A unique motivational variable10.1016/j.edurev.2006.09.001 ↗
7. Effect of Interest on Attentional Shift, Recognition, and Recall in Young Children10.1037/0012-1649.21.4.624 ↗
8. Neurophysiological Tools to Investigate Consumer’s Gender Differences during the Observation of TV Commercials10.1155/2014/912981 ↗
9. Morillo1, L.M.S., Alvarez-Garcia1, J.A., Gonzalez-Abril, L., and Ramírez, J.A.O. (2016). Discrete classification technique applied to TV advertisements liking recognition system based on low-cost EEG headsets. Biomed. Eng., 15, 198–218.10.1186/s12938-016-0181-2 ↗
10. Krapp, A. (1993). The Construct of Interest—Characteristics of Individual Interests and Interest-Related Actions from the Perspective of a Person-Object-Theory, Universität der Bundeswehr München.
11. Renninger, K.A. (2000). Individual interest and its implications for understanding intrinsic motivation. Intrinsic Extrinsic Motiv. Search Optim. Motiv. Perform., 373–404.10.1016/B978-012619070-0/50035-0 ↗
12. Interest and Human Development: An Educational-Psychological Perspective
13. The four-phase model of interest development10.1207/s15326985ep4102_4 ↗
14. Priniski, S.J. The Importance of Promoting Interest in Education10.1177/2372732216655542 ↗
15. Interest and Its Contribution as a Mental Resource for Learning10.3102/00346543060004549 ↗
16. Renninger, K.A., Hidi, S., and Krapp, A. (1992). The Role of interest in Learning and Development, Lawrence Erlbaum Associates Inc.
17. Dewey, J. (1913). Interest and Effort in Education, Riverside Press.10.1037/14633-000 ↗
18. Basic Emotions Relations Among Emotions and Emotion-Cognition Relations10.1037/0033-295X.99.3.561 ↗
19. Attention: Some Theoretical Consideration10.1037/h0039515 ↗
20. Kashdan, T.B., and Silvia, P.J. (2009). Curiosity and Interest: The Benefits of Thriving on Novelty and Challenge. The Oxford Handbook of Positive Psychology, Oxford University Press.10.1093/oxfordhb/9780195187243.013.0034 ↗
21. Csikszentmihalyi, M. (1975). Beyond Boredom and Anxiety: The Experience of Flow in Work and Play, Jossey-Bass.
22. Ekman, P. (2003). Emotions Revealed: Recognizing Faces and Feelings to Improve Communication and Emotional Life, BMJ Publishing Group Ltd.
23. Hockenbury, D.H., and Hockenbury, S.E. (2007). Discovering Psychology, Macmillan. [4th ed.].
24. Izard, C.E. (1977). Human Emotions, Plenum.10.1007/978-1-4899-2209-0 ↗
25. Pupillary and cardiac activity during visual attention10.1111/j.1469-8986.1973.tb00526.x ↗
26. Krapp, A. (2000). Interest and Human Development During Adolescence: An Educational-Psychological Approach. Motiv. Psychol. Hum. Dev., 109–128.10.1016/S0166-4115(00)80008-4 ↗
27. Interest, motivation and learning: An educational-psychological perspective10.1007/BF03173109 ↗
28. Research on Interest in Science: Theories, methods, and findings10.1080/09500693.2010.518645 ↗
29. An automated optimal engagement and attention detection system using electrocardiogram10.1155/2012/528781 ↗
30. Affective e-Learning: Using “emotional” data to improve learning in pervasive learning environment related work and the pervasive e-learning platform
31. Recognizing Student Emotions using Brainwaves and Mouse Behavior Data10.4018/jdet.2013040101 ↗
32. Correlation of Student’s Precursor Emotion towards Learning Science Interest using EE10.12928/telkomnika.v13i4.2737 ↗
33. Shigemitsu, Y., and Nittono, H. (2008). Assessing Interest Level during Movie Watching with Brain Potentials. Poster Session Presented at the Second International Workshop on Kansei, Fukuoka, Japan, Citeseer.
34. Level of interest in video clips modulates event-related potentials to auditory probes10.1016/j.ijpsycho.2004.06.001 ↗
35. Mota, S., Picard, R.W., and Street, A. (2003, January 16–22). Automated Posture Analysis for Detecting Learner’s Interest Level. Proceedings of the 2003 Conference Computer Vision Pattern Recognition Workshop, Madison, Wisconsin.10.1109/CVPRW.2003.10047 ↗
36. Kapoor, A., Picard, R.W., and Ivanov, Y. Probabilistic combination of multiple modalities to detect interest. Proceedings of the 17th International Conference on Pattern Recognition.
37. Yeasin, M., Bullot, B., and Sharma, R. (July, January 27). From facial expression to level of interest: A spatio-temporal approach. Proceedings of the 2004 Conference Computer Vision Pattern Recognition, Washington, DC, USA.
38. Qvarfordt, P., and Zhai, S. (2005). Conversing with the user based on eye-gaze patterns. ACM Conf. Hum. Factors Comput. Syst., 221–230.10.1145/1054972.1055004 ↗
39. Interest and interests: The psychology of constructive capriciousness10.1037/1089-2680.5.3.270 ↗
40. Dai, D.Y., and Sternberg, R.J. (2004). Alexander, P.A. A Model of Domain Learning: Reinterpreting Expertise as a Multidimensional, Multistage Process. Motivation, Emotion, and Cognition. Integrative Perspectives on Intellectual Functioning and Development, Lawrence Erlbaum Associates, Inc.
41. Schiefele, H., Krapp, A., Prenzel, M., Heiland, A., and Kasten, H. (August, January 31). Principles of an educational theory of interest. Proceedings of the 7th Annual Meeting of the International Society for the Study of Behavioral Development, Munich, West Germany.
42. Deci, E., and Ryan, R.M. (2002). An Educational-Psychological Theory of Interest and Its Relation to SDT. The Handbook of Self-Determination Theory, University of Rochester Press.
43. Krapp, A., Renninger, A., and Hoffmann, L. (1998). Some thoughts about the development of a unifying framework for the study of individual interest. Interest and Learning. Proceedings of the Seeon-Conference on Interest and Gender, Swarthome College.
44. Sansone, C., and Harackiewicz, J.M. (2000). An interest researcher’s perspective: The effects of extrinsic and intrinsic factors on motivation. Ntrinsic and Extrinsicmotivation: The Search for Optimal Motivation and Performance, Academic Press.
45. Situational interest: Its multifaceted structure in the secondary school mathematics classroom10.1037/0022-0663.85.3.424 ↗
46. Breazeal, C. (1999). Robot in Society: Friend or Appliance, Massachusetts Institute of Technology.
47. Hidi, S., Renninger, K.A., and Krapp, A. (2004). Interest, a Motivational Variable That Combines Affective and Cognitive Functioning. Motivation Emotion & Cognition, Integrative Perspectives on Intelectual Functioning and Development, American Psychology Association.
48. EEG in classroom: EMD features to detect situational interest of students during learning10.1007/s11042-018-7016-z ↗
49. EEG-based detection of TV commercials effects10.1016/j.procs.2015.08.112 ↗
50. Strategies for increasing text-based interest and students’ recall of expository texts10.2307/747644 ↗
51. Lopez-Gil, J.-M., Virgili-Goma, J., Gill, R., and Garcia, R. (2016). Method for Improving EEG Based Emotion Recognition by Combining It with Synchronized Biometric and Eye Tracking Technologies in a Non-invasive and Low Cost Way. Front. Comput. Neurosci.10.3389/fncom.2016.00085 ↗
52. Obrist, P., Black, A., Brener, J., and DiCara, L.V. (1974). Studies on Hearte Rate and ohter Bodily Processes in Sensorimotor Behavior. Cardiovascular Psychophysiology: Current Issues in Response, Mechanisms, Biofeedback and Methodology, Aldine.
53. Neural basis for brain responses to TV commercials: A high-resolution EEG study10.1109/TNSRE.2008.2009784 ↗
54. Situational Interest: A Review of the Literature and Directions for Future Research10.1023/A:1009004801455 ↗
55. (2008). Review of Exploring the Psychology of Interest. Psychol. Aesthet. Creat. Arts, 2, 163–165.
56. A Design of the Preference Acquisition Detection System using the EEG
57. EEG in analysis of the level of interest in social issue advertising10.1016/j.procs.2018.08.056 ↗
58. Shestyuk, A.Y., Kasinathan, K., Karapoondinott, V., Knight, R.T., and Gurumoorthy, R. (2019). Individual EEG measures of attention, memory, and motivation predict population level TV viewership and Twitter engagement. PLoS ONE, 14.10.1371/journal.pone.0214507 ↗
59. Elliot, A.J. (2008). Basic personality dispositions related to approach and avoidance: Extraversion/Neuroticism, BAS/BIS, and Positive/Negative Affectivity. Handbook of Approach and Avoidance Motivation, Taylor & Francis Group, LLC. 13298.
60. The role of asymmetrical frontal cortical activity in aggression10.1111/j.1469-8986.2007.00597.x ↗
61. Prefrontal Brain Asymmetry: A Biological Substrate of the Behavioral Approach and Inhibition Systems10.1111/j.1467-9280.1997.tb00413.x ↗
62. Clarifying the emotive functions of asymmetrical frontal cortical activity10.1111/1469-8986.00121 ↗
63. Davidson, R.J., Pizzagalli, D., Nitschke, J.B., and Kalin, N.H. (2003). Parsing the Subcomponents of Emotion and Disorders of Emotion: Perspectives from Affective Neuroscience. Handbook of the Affective Sciences, Oxford University Press.10.1093/oso/9780195126013.003.0002 ↗
64. What does the prefrontal cortex ‘do’ in affect: Perspectives on frontal EEG asymmetry research10.1016/j.biopsycho.2004.03.008 ↗
65. The Effect of Personal Relevance Action and Approach-Related Expectation on Relative Left Frontal Cortical Activity10.1111/j.1467-9280.2006.01724.x ↗
66. Relations among EEG-alpha asymmetry, BIS/BAS, and dispositional optimism10.1016/j.biopsycho.2013.05.016 ↗
67. EEG alpha and theta oscillations reflect cognitive and memory performance: A review and analysis10.1016/S0165-0173(98)00056-3 ↗
68. Kramer, A.F., and Weber, T. (2000). Application of psychophysiology to human factors. Handbook of Psychophysiology, Cambridge University Press.
69. Event-related potentials in the dual task paradigm: P300 discriminates engaging and non-engaging films when film-viewing is the primary task10.1016/0167-8760(92)90060-O ↗
70. Updating P300: An integrative theory of P3a and P3b10.1016/j.clinph.2007.04.019 ↗
71. Effects of topic interest and prior knowledge on text recall and annotation use in reading a hypermedia text in the L210.1017/S0958344010000091 ↗
72. Schiefele, U., and Krapp, A. (1991, January 3–7). The Effects of Topic Interest and Cognitive Characteristics on Different Indicators of Free Recall of Expositor. Proceedings of the Annual Meeting of the American Educational Research Association, Chicago, IL, USA.
73. Schiefele, U. (1992, January 20–24). Content Related Motivation and Learning from Text. Proceedings of the Annual Meeting of the American Educational Research Association, San Francisco, CA, USA.
74. Schneider, W., and Bjorklund, D.F. (1992, January 20–24). Interest and domain specific knowledge. Proceedings of the Annual Meeting of the American Educational Research Association, San Francisco, CA, USA.
75. Learning from text, levels of comprehension, or: Why anyone would read a story anyway10.1016/0304-422X(80)90013-3 ↗
76. Mandl, H., De Corte, E., Bennett, N., and Friedrich, H.F. (1990). The effect of topic and theme interestingness on the production of school expositions. Learning and Instruction in an International Con, Pergamon.
77. Interest, Prior Knowledge, and Learning10.3102/00346543064001037 ↗
78. Passive enhancement of the somatosensory P100 and N140 in an active attention task using deviant alone condition10.1016/j.clinph.2003.11.037 ↗
79. Monitoring task loading with multivariate EEG measures during complex forms of human-computer interaction10.1518/001872001775898287 ↗
80. Advertising liking recognition technique applied to neuromarketing by using low-cost EEG headset
81. Kort, B., Reilly, R., and Picard, R.W. (2001, January 6–8). An affective model of interplay between emotions and learning: Reengineering educational pedagogy-building a learning companion. Proceedings of the IEEE International Conference on Advanced Learning Technologies, ICALT 2001, Madison, WI, USA.
82. Estimation of behavioral user state based on eye gaze and head pose-application in an e-learning environment10.1007/s11042-008-0240-1 ↗
83. Eye tracking system for enhanced learning experiences10.1007/s10639-015-9418-0 ↗
84. An intelligent e-learning system based on learner profiling and learning resources adaptation10.1016/j.compedu.2007.05.005 ↗
85. Kapoor, A., and Picard, R.W. (2005, January 6–11). Multimodal affect recognition in learning environments. Proceedings of the 13th Annual ACM International Conference on Multimedia, Singapore.10.1145/1101149.1101300 ↗
86. Recognition of facial expressions and measurement of levels of interest from video10.1109/TMM.2006.870737 ↗
87. Kanade, T., and Cohn, J.F. (2000, January 28–30). Comprehensive database for facial expression analysis. Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition, Grenoble, France.
88. Emotion sensors go to school
89. El Kaliouby, R., and Robinson, P. (2005). Real-time inference of complex mental states from facial expressions and head gestures. Real-Time Vision for Human-Computer Interaction, Springer.10.1007/0-387-27890-7_11 ↗
90. Baltrušaitis, T., McDuff, D., Banda, N., Mahmoud, M., El Kaliouby, R., Robinson, P., and Picard, R. (2011, January 21–25). Real-time inference of mental states from facial expressions and upper body gestures. Proceedings of the 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011, Santa Barbara, CA, USA.10.1109/FG.2011.5771372 ↗
91. Toward an affect-sensitive multimodal human-computer interaction10.1109/JPROC.2003.817122 ↗
92. Breazeal, C. (2000). Sociable Machines: Expressive Social Exchange between Humans and Robots. [Ph.D. Thesis, Massachusetts Institute of Technology].
93. Physiological and self-report methods to the measurement of emotion in tourism
94. Questionnaire Measures and Physiological Correlates of Presence: A Systematic Review10.3389/fpsyg.2020.00349 ↗
95. Using Self-Report Questionnaires in OB Research: A Comment on the Use of a Controversial Method10.1002/job.4030150503 ↗
96. A Debate on the Proposition that Self-Report is the Gold Standard in Assessment of Pediatric Pain Intensity10.1097/AJP.0000000000000165 ↗
97. Inferring psychological significance from physiological signals10.1037/0003-066X.45.1.16 ↗