Skip to main content
SpringerLink
Log in

Web-based Biometric Computer Mouse Advisory System to Analyze a User’s Emotions and Work Productivity

  • Chapter
  • First Online:
Book cover Biometric and Intelligent Decision Making Support

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 81))

Abstract

This chapter describes the analysis of emotional state and work productivity using a Web-based Biometric Computer Mouse Advisory System to Analyze a User’s Emotions and Work Productivity (Advisory system hereafter) developed by author in conjunction with colleagues. The Advisory system determines the level of emotional state and work productivity integrally by employing three main biometric techniques (physiological, psychological and behavioral). By using these three biometric techniques, the Advisory system can analyze a person’s eleven states of being (stress, work productivity, mood, interest in work) and seven emotions (self-control, happiness, anger, fear, sadness, surprise and anxiety) during a realistic timeframe. Furthermore, to raise the reliability of the Advisory system even more, it also integrated the data supplied by the Biometric Finger (blood pressure and pulse rates). Worldwide research includes various scientists who conducted in-depth studies on the different and very important areas of biometric mouse systems. However, biometric mouse systems cannot generate recommendations. The Advisory system determines a user’s physiological, psychological and behavioral/movement parameters based on that user’s real-time needs and existing situation. It then generates thousands of alternative stress management recommendations based on the compiled Maslow’s Pyramid Tables and selects out the most rational of these for the user’s specific situation. The information compiled for Maslow’s Pyramid Tables consists of a collection of respondent surveys and analyses of the best global practices. Maslow’s Pyramid Tables were developed for an employee working with a computer in a typical organization. The Advisory system provides a user with a real-time assessment of his/her own productivity and emotional state. This chapter presents the Advisory system, a case study and a scenario used to test and validate the developed Advisory system and its composite parts to demonstrate its validity, efficiency and usefulness.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Adrogue HJ, Madias NE (2007) Sodium and potassium in the pathogenesis of hypertension. J Med 356:1966–1978

    Google Scholar 

  • Albert F (1953) The physiological differentiation between fear and anger in humans. Psychosom Med 15:433–442

    Article  Google Scholar 

  • AlFallay I (2004) The role of some selected psychological and personality traits of the rater in the accuracy of self-and peer-assessment. System 32(3):407–425

    Article  Google Scholar 

  • Averill JR (1969) Autonomic response patterns during sadness and mirth. Psychophysiology 5(4):399–414

    Article  Google Scholar 

  • Baumgartner T, Esslen M, Jancke L (2006) From emotion perception to emotion experience: emotions evoked by pictures and classical music. Int J Psychophysiol 60(1):34–43

    Article  Google Scholar 

  • Blair DA, Glover WE, Greenfield ADM, Roddie IC (1959) Excitation of cholinergic vasodilator nerves to human skeletal muscles during emotional stress. J Physiol 148(3):633–647

    Article  Google Scholar 

  • Braak JPV (2004) Domains and determinants of university students’ self-perceived computer competence. Comput Educ 43:299–312

    Article  Google Scholar 

  • Briese E (1992) Cold increases and warmth diminishes stress-induced rise of colonic temperature in rats. Physiol Behav 51(4):881–883

    Article  Google Scholar 

  • Cacioppo JT, Berntson GG, Larsen JT, Poehlmann KM, Ito TA (1997) Psychophysiology of emotion. No SBR-9512459. http://psychology.uchicago.edu/people/faculty/cacioppo/jtcreprints/cblpi00.pdfS. Accessed 10 Feb 2014

  • Cohen J, Cohen P (1975) Applied multiple regression and correlation analysis for the behavioral sciences. Amer J Cardiol 51(5):787–790

    Google Scholar 

  • Crosby ME, Auernheimer B, Ikehara CAC (2001) Physiological data feedback for application in distance education. http://www.stottlerhenke.com/webdev/swiftII/Affective%20Sensing/Physiological%20Data%20Feedback%20for%20Application%20in%20Distance%20Education.pdfS. Accessed 10 Feb 2014

  • Dubin R (1958) The world of work: industrial society and human relations. Prentice Hall, Englewood Cliff

    Google Scholar 

  • Ekman P, Levenson RW, Friesen WV (1983) Autonomic nervous system activity distinguishes among emotions. Science 221(4616):1208–1210

    Article  Google Scholar 

  • Fitzgerald JT, White CB, Gruppen LD (2003) A longtitudinal study of selfassessment accuracy. Med Educ 37:645–649

    Article  Google Scholar 

  • Funkenstein DH, King SH, Drolette M (1954) The direction of anger during a laboratory stress-inducing situation. Psychosom Med 16(5):404–413

    Article  Google Scholar 

  • Gasperin D, Netuveli G, Dias-da-Costa JS, Pattussi MP (2009) Effect of psychological stress on blood pressure increase: a meta-analysis of cohort studies. Cad Sau de Publica 25(4):715–726

    Article  Google Scholar 

  • Gray MA, Taggart P, Sutton PM, Groves D, Holdright DR, Bradbury D, Brull D, Critchley HD (2007) A cortical potential reflecting cardiac function. Nat Acad Sci USA 104(16):6818–6823

    Article  Google Scholar 

  • Humidity module 808H5V5 (2010) http://www.sensolution.co.kr/pdf/808H5V5.pdfS. Accessed 12 May 2010

  • Jonsson D, Johansson S, Rosengren A, Lappas G, Wilhelmsen L (2003) Self-perceived psychological stress in relation to psycho social factors and work in a random population sample of women. Stress Health 19(3):149–162

    Article  Google Scholar 

  • Kaklauskas A (1999) Multiple criteria decision support of building life cycle. Research Report Presented for Habilitation, Technika

    Google Scholar 

  • Kaklauskas A, Gulbinas A, Krutinis M, Naimavičienė J, Šatkauskas G (2007a) Methods for multivariant analysis of optional modules used in teaching process. Technol Econ Dev Econ 7(3):253–258

    Google Scholar 

  • Kaklauskas A, Zavadskas EK, Banaitis A, Šatkauskas G (2007b) Defining the utility and market value of a real estate: a multiple criteria approach. Int J Strateg Prop Manage 11(2):107–120

    Google Scholar 

  • Kaklauskas A, Zavadskas EK, Raslanas S (2005) Multivariant design and multiple criteria analysis of building refurbishments. Energy Build 37(4):361–372

    Article  Google Scholar 

  • Kaklauskas A, Zavadskas EK, Raslanas S, Ginevičius R, Komka A, Malinauskas P (2006) Selection of low–ewindows in retrofit of public buildings by applying multiple criteria method COPRAS: a Lithuanian case. Energy Build 38(5):454–462

    Article  Google Scholar 

  • Kaklauskas A, Zavadskas EK, Seniut M, Dzemyda G, Stankevic V, Simkevičius C, Stankevic T, Paliskiene R, Matuliauskaite A, Kildiene S, Bartkiene L, Ivanikovas S, Gribniak V (2011) Web-based biometric computer mouse advisory system to analyze a user’s emotions and work productivity. Eng Appl Artif Intell 24(6):928–945

    Article  Google Scholar 

  • Kaklauskas A, Zavadskas EK, Seniut M, Krutinis M, Dzemyda G, Ivankovas V, Stankevič V, Šimkevičius Č, Jaruševičius A (2008) Web-based biometric mouse decision support system for user’s emotional and labour productivity analysis. In: Zavadskas EK, Kaklauskas A, Skibniewski MJ (eds) Proceedings of the 25th international symposium on automation and robotics in construction (ISARC2008), selected papers, Vilnius, pp 69–75, 26–29 June 2008

    Google Scholar 

  • Karatepe OM, Uludag O (2008) Role stress, burnout and their effects on frontline hotel employees’ job performance: evidence from Northern Cyprus. Int J Tourism Res 10(2):111–126

    Article  Google Scholar 

  • Keuls M (1952) The use of the “studentized range” in connection with analysis of variance. Euphytica 1:112–122

    Article  Google Scholar 

  • Krumhansl LC (1997) An exploratory study of musical emotions and psychophysiology. Can J Exp Psychol 51(4):336–352

    Article  Google Scholar 

  • Levenson RW, Ekman P, Friesen WV (1997) Voluntary facial action generates emotion—specific automatic nervous system activity. Psychophysiology 27(4):363–384

    Article  Google Scholar 

  • Light KC, Girdler SS, Sherwood A, Bragdon EE, Brownley KA, West SG, Hinderliter AL (1999) High stress responsivity predicts later blood pressure only in combination with positive family history and high life stress. Hypertension 33:1458–1464

    Article  Google Scholar 

  • Marsh HW, Overall JU, Kesler SP (1979) Validity of student evaluations of instructional effectiveness: a comparison of faculty self-evaluations and evaluations by their students. J Educ Psychol 71(2):149–160

    Article  Google Scholar 

  • Maslow AH (1943) A theory of human motivation. Psychol Rev 50(4):370–396

    Article  Google Scholar 

  • Maslow AH (1954) Motivation and Personality. Harper, New York

    Google Scholar 

  • Matsuno S (2009) Self-, peer-, and teacher-assessments in Japanese university EFL writing classrooms. Lang Test 26(1):75–100

    Article  Google Scholar 

  • McFarland RA (1985) Relationship of skin temperature changes to the emotions accompanying music. Biofeedback Self Regul 10(3):255–267

    Article  MathSciNet  Google Scholar 

  • Mustafa A, Hashim AH, Khallifa O, Hamed SA (2008) Adaptive emotional personality model based on fuzzy interpretation of the FFM. Int J Signal Process 2(4):1–9

    MATH  Google Scholar 

  • Mynttinen S, Sundstrom A, Vissers J, Koivukoski M, Hakuli K, Keskinen E (2009) Self-assessed driver competence among novice drivers—a comparison of driving test candidate assessments and examiner assessments ina Dutchand Finnish sample. J Saf Res 40(4):301–309

    Article  Google Scholar 

  • Nakayama K, Goto S, Kuraoka K, Nakamura K (2005) Decrease in nasal temperature of rhesus monkeys (Macacamulatta) in negative emotional state. J Physiol Behav 84:783–790

    Article  Google Scholar 

  • Newman D (1939) The distribution of range in samples from a normal population, expressed in terms of an independent estimate of standard deviation. Biometrika 31(1):20–30

    Article  MATH  MathSciNet  Google Scholar 

  • Oka T, Oka K, Hori T (2001) Mechanisms and mediators of psychological stress-induced rise in core temperature. Psychosom Med 63:476–486

    Article  Google Scholar 

  • Okada S, Hori N, Kimoto K, Onozuka M, Sato S, Sasaguri K (2007) Effects of biting on elevation of blood pressure and other physiological responses to stress in rats: biting may reduce allostatic load. Brain Res 1185:189–194

    Article  Google Scholar 

  • Papinczak T, Young L, Groves M, Haynes M (2007) An analysis of peer, self, and tutor assessment in problem-based learning tutorials. Med Teach 29:122–132

    Article  Google Scholar 

  • Plutchik R (1980) A general psychoevolutionary theory of emotion. In: Plutchik R, Kellermans H (eds) Emotion theory, research, and experience, vol 1, Theories of Emotion Academic Press, NewYork, pp 3–33

    Chapter  Google Scholar 

  • Real Voices of Autism Dictionary (2009) www.autistics.org/access/resources/glossary/main.html. Accessed 12 May 2010

  • Relative Pressure Sensor (2010) http://www.hoperf.com/sensor/relative_sensor.htmS. Accessed 12 May 2010

  • Rimm-Kaufman SE, Kagan J (1996) The psychological significance of changes in skin temperature. Motiv Emot 20(1):63–78

    Article  Google Scholar 

  • Schachter J (1957) Pain, fear, and anger in hypertensive and normotensives. Psychosom Med 19:17–29

    Article  Google Scholar 

  • Schwartz GE, Daniel A, Weinberger M, Jefferson A (1981) Cardiovascular differentiation of happiness, sadness, anger, and fear following imagery and exercise. Psychosom Med 43(4):343–364

    Article  Google Scholar 

  • Severingham JW, Kelleher JF (1992) Recent development in pulse oxymetry. Anestyhesiology 76:1018–1038

    Google Scholar 

  • Šliogerienė J, Kaklauskas A, Zavadskas EK, Bivainis J, Seniut M (2009) Environment factors of energy companies and their effect on value: analysis model and applied method. Technol Econ Dev Econ 15(3):490–521

    Article  Google Scholar 

  • Stankevič V, Šimkevičius Č (2000) Use of a shock tube in investigations of micromachined piezoresistive pressure sensors. Sens Actuators A86:58–65

    Article  Google Scholar 

  • Stemmler G, Heldmann M, Pauls CA, Scherer T (2001) Constraints for emotion specificity in fear and anger: the context counts. Psychophysiology 38:275–291

    Article  Google Scholar 

  • Sung Y, Chang K, Chang T, Yu W (2009) How many heads are better than one? The reliability and validity of teenagers’ self- and peer assessments. J Adolesc 33(1):135–145

    Article  Google Scholar 

  • TC1047A linear output temperature sensor specification (2009) http://www.microchip.com/stellent/cidcplg?IdcService=SS_GET_PAGE&nodeId=1335&dDocName=en010753S. Accessed 12 May 2010

  • Tupenaite L, Zavadskas EK, Kaklauskas A, Turskis Z, Seniut M (2010) Multiple Criteria assessment of alternatives for built and human environment renovation. J Civil Eng Manage 16(2):257–266

    Article  Google Scholar 

  • Van Dijk PA, Smith LDG, Cooper BK (2011) Are you for real? An evaluation of the relationship between emotional labour and visitor outcomes. Tour Manage 32(1):39–45

    Article  Google Scholar 

  • Vianna DM, Carrive P (2005) Changes in cutaneous and body temperature during and after conditioned fear to context in the rat. Eur J Neurosci 21(9):2505–2512

    Article  Google Scholar 

  • Weerts TC, Roberts R (1976) The physiological effects of imagining anger-provoking and fear-provoking scenes. Psychophysiology 13:174

    Google Scholar 

  • Xiao Y, Lucking R (2008) The impact of two types of peer assessment on students’ performance and satisfaction within a Wiki environment. Internet High Educ 11(3–4):186–193

    Article  Google Scholar 

  • Zavadskas EK, Kaklauskas A, Seniut M, Dzemyda G, Ivankovas V, Stankevič V, Šimkevičius Č, Jaruševičius A (2008) Web-based biometric mouse intelligent system for analysis of emotional state and labour productivity. In: Zavadskas EK, Kaklauskas A, Skibniewski MJ (eds) Proceedings of the 25th international symposium on automation and robotics in construction (ISARC2008), selected papers, Vilnius, 26–29 June 2008, pp 429–434

    Google Scholar 

  • Zimmermann P, Guttormsen S, Danuser B, Gomez P (2003) Affective computing—a rationale for measuring mood with mouse and key board. Int J Occup Safe Ergon 9(4):539–551

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Vilnius Gediminas Technical University, Vilnius, Lithuania

    Arturas Kaklauskas

Authors
  1. Arturas Kaklauskas
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Arturas Kaklauskas .

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Kaklauskas, A. (2015). Web-based Biometric Computer Mouse Advisory System to Analyze a User’s Emotions and Work Productivity. In: Biometric and Intelligent Decision Making Support. Intelligent Systems Reference Library, vol 81. Springer, Cham. https://doi.org/10.1007/978-3-319-13659-2_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-13659-2_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13658-5

  • Online ISBN: 978-3-319-13659-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation