Your body tells more than words – predicting perceived meeting productivity through body signals

References

• Akinola, M. (2010). Measuring the pulse of an organization: Integrating physiological measures into the organizational scholar’s toolbox. Research in Organizational Behavior, 30, 203–223. https://doi.org/10.1016/j.riob.2010.09.003
   Web of Science ®Google Scholar
• Alibali, M. W., & Nathan, M. J. (2007). Teachers’ gestures as a means of scaffolding students’ understanding. In R. Goldman, R. Pea, B. Barron, & S. J. Derry (Eds.), Video research in the learning sciences, 349–365. Erlbaum.
   Google Scholar
• Allen, A., J, L.W.N., & Landowski, N. (2014). Linking pre-meeting communication to meeting effectiveness. Journal of Managerial Psychology, 29(8), 1064–1081. https://doi.org/10.1108/JMP-09-2012-0265
   Web of Science ®Google Scholar
• Allen, J. A., Lehmann-Willenbrock, N., & Rogelberg, S. G. (2018). Let’s get this meeting started: Meeting lateness and actual meeting outcomes. Journal of Organizational Behavior, 39(8), 1008–1021. https://doi.org/10.1002/job.2276
   Web of Science ®Google Scholar
• Anderson, K. J. (1990). Arousal and the inverted-U hypothesis: A critique of neiss’s “Reconceptualizing arousal.”. Psychological Bulletin, 107(1), 96–100. https://doi.org/10.1037/0033-2909.107.1.96
   Web of Science ®Google Scholar
• Appelhans, B. M., & Luecken, L. J. (2006). Heart Rate Variability as an Index of Regulated Emotional Responding. Review of General Psychology, 10(3), 229–240. https://doi.org/10.1037/1089-2680.10.3.229
   Web of Science ®Google Scholar
• Ashby, R. W. (1956). An introduction to cybernetics. Methuen.
   Google Scholar
• Barsalou, L. W., Niedenthal, P. M., Barbey, A. K., & Ruppert, J., A. (2003). Social Embodiement. In B. H. Ross (Ed.), The psychology of learning and motviation, Vol. 43, 43–92. Elsevier Science.
   Google Scholar
• Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting Linear Mixed-Effects Models Using lme4. J. Stat. Soft, 67(1).
   Web of Science ®Google Scholar
• Bennett, R. J. (1998). Perceived powerlessness as a cause of employee deviance. In R. W. Griffin, A. O'Leary-Kelly, & J. M. Collins (Eds.), Dysfunctional behavior in organizations: Violent and deviant behavior (pp. 221–239). Elsevier Science/JAI Press.
   Google Scholar
• Berk, R. A. (2006). Random Forests. In Statistical Learning from a Regression Perspective (pp. 1–63). Springer New York. https://doi.org/10.1007/978-0-387-77501-2_5
   Google Scholar
• Betella, A., Verschure, P. F., & Tran, U. S. (2016). The Affective Slider: A Digital Self-Assessment Scale for the Measurement of Human Emotions. Plos One, 11(2), e0148037. https://doi.org/10.1371/journal.pone.014803710.1371/journal.pone.0148037.g00110.1371/journal.pone.0148037.g00210.1371/journal.pone.0148037.g00310.1371/journal.pone.0148037.g00410.1371/journal.pone.0148037.s00110.1371/journal.pone.0148037.s002
   PubMed Web of Science ®Google Scholar
• Black, A. C., & McCoach, D. B. (2008). Validity study of the thinking styles inventory. Journal for the Education of the Gifted, 32(2), 180–210. https://doi.org/10.4219/jeg-2008-849
   Google Scholar
• Bliese, P. D. (2000). Within-group agreement, non-independence, and reliability: Implications for data aggregation and analysis. In K. J. Klein & S. W. J. Kozlowski (Eds.), Multilevel theory, research, and methods in organizations: Foundations, extensions, and new directions (pp. 349–381). Jossey-Bass/Wiley.
   Google Scholar
• Boyatzis, R. E., Passarelli, A. M., Koenig, K., Lowe, M., Mathew, B., Stoller, J. K., & Phillips, M. (2012). Examination of the neural substrates activated in memories of experiences with resonant and dissonant leaders. The Leadership Quarterly, 23(2), 259–272. https://doi.org/10.1016/j.leaqua.2011.08.003
   Web of Science ®Google Scholar
• Bradley, M. M., Greenwald, M. K., Petry, M. C., & Lang, P. J. (1992). Remembering pictures: Pleasure and arousal in memory. Journal of Experimental Psychology. Learning, Memory, and Cognition, 18(2), 379–390. https://doi.org/10.1037/0278-7393.18.2.379
   PubMed Web of Science ®Google Scholar
• Breusch, T. S., & Pagan, A. R. (1979). A simple test for heteroscedasticity and random coefficient variation. Econometrica: Journal of the Econometric Society, 1287–1294.
   Web of Science ®Google Scholar
• Brown, B. L., Strong, W. J., & Rencher, A. C. (1973). Perceptions of personality from speech: Effects of manipulations of acoustical parameters. The Journal of the Acoustical Society of America, 54(1), 29–35. https://doi.org/10.1121/1.1913571
   PubMed Web of Science ®Google Scholar
• Budner, P., Eirich, J., & Gloor, P.A. (2017). ””Making you happy makes me happy” - Measuring Individual Mood with Smartwatches.” ArXiv abs/1711.06134, .
   Google Scholar
• Cahill, Larry & McGaugh, James L. (1995). A Novel Demonstration of Enhanced Memory Associated with Emotional Arousal. Consciousness and Cognition 4 (4):410–421.
   PubMed Web of Science ®Google Scholar
• Carroll, D., Turner, J. R., & Hellawell, J. C. (1986, Mar). Heart rate and oxygen consumption during active psychological challenge: The effects of level of difficulty. Psychophysiology, 23(2), 174–181. https://doi.org/10.1111/j.1469-8986.1986.tb00613.x
   PubMed Web of Science ®Google Scholar
• Ceja, L., & Navarro, J. (2011). Dynamic patterns of flow in the workplace: Characterizing within-individual variability using a complexity science approach. Journal of Organizational Behavior, 32(4), 627–651. https://doi.org/10.1002/job.747
   Web of Science ®Google Scholar
• Chaby, L. E., Sheriff, M. J., Hirrlinger, A. M., & Braithwaite, V. A. (2015). Can we understand how developmental stress enhances performance under future threat with the Yerkes-Dodson law?. Communicative & Integrative Biology, 8(3), e1029689. https://doi.org/10.1080/19420889.2015.1029689
   PubMedGoogle Scholar
• Chatman J A. (1991). Matching People and Organizations: Selection and Socialization in Public Accounting Firms. Administrative Science Quarterly, 36(3), 459. https://doi.org/10.2307/2393204
   Web of Science ®Google Scholar
• Cohen, M. A., Rogelberg, S. G., Allen, J. A., & Luong, A. (2011). Meeting design characteristics and attendee perceptions of staff/team meeting quality. Group Dynamics: Theory, Research and Practice, 15(1), 90–104. https://doi.org/10.1037/a0021549
   Web of Science ®Google Scholar
• Corbett M. (2015). From law to folklore: work stress and the Yerkes-Dodson Law. Journal of Managerial Psychology, 30(6), 741–752. 10.1108/JMP-03-2013-0085
   Web of Science ®Google Scholar
• Crone, E. A., Somsen, R. J., Van, B. B., & Van Der Molena, M. W. (2004). Heart rate and skin conductance analysis of antecendents and consequences of decision making. Psychophysiology, 41(4), 531–540. https://doi.org/10.1111/j.1469-8986.2004.00197.x
   PubMed Web of Science ®Google Scholar
• de Gelder, B. (2006, Mar). Towards the neurobiology of emotional body language. Nature Reviews, Neuroscience, 7(3), 242–249. https://doi.org/10.1038/nrn1872
   PubMed Web of Science ®Google Scholar
• de Gelder, B. (2009, Dec 12). Why bodies? Twelve reasons for including bodily expressions in affective neuroscience. Philosophical Transactions of the Royal Society of London, Series B, Biological Sciences, 364(1535), 3475–3484. https://doi.org/10.1098/rstb.2009.0190
   PubMed Web of Science ®Google Scholar
• DeGroot, T., & Motowidlo, S. J. (1999). Why visual and vocal interview cues can affect interviewers’ judgments and predict job performance. The Journal of Applied Psychology, 84(6), 986–993. https://doi.org/10.1037/0021-9010.84.6.986
   Web of Science ®Google Scholar
• de Meijer M. (1989). The contribution of general features of body movement to the attribution of emotions. J Nonverbal Behav, 13(4), 247–268. 10.1007/BF00990296
   Web of Science ®Google Scholar
• Ekman, P., & Friesen, W. V. (1974). Detecting deception from the body or face. Journal of Personality and Social Psychology, 29(3), 288. https://doi.org/10.1037/h0036006
   Web of Science ®Google Scholar
• Enders, C. K. (2003, Sep). Using the expectation maximization algorithm to estimate coefficient alpha for scales with item-level missing data. Psychological Methods, 8(3), 322–337. https://doi.org/10.1037/1082-989X.8.3.322
   PubMed Web of Science ®Google Scholar
• Erks, R., Nyquist, E., Allen, J., & Rogelberg, S. (2017). Regulating emotions in response to power distance in meetings. Journal of Management Development, 36(10), 1247–1259. https://doi.org/10.1108/jmd-10-2016-0213
   Web of Science ®Google Scholar
• Feldstein, S., & Bond, R. N. (1981, Dec). Perception of speech rate as a function of vocal intensity and frequency. Language and Speech, 24(Pt 4), 387–394. https://doi.org/10.1177/002383098102400408
   PubMedGoogle Scholar
• Garcia-Izquierdo, A. L., Ramos-Villagrasa, P. J., & Navarro, J. (2012, Nov). Dynamic criteria: A longitudinal analysis of professional basketball players’ outcomes. The Spanish Journal of Psychology, 15(3), 1133–1146. https://doi.org/10.5209/rev_sjop.2012.v15.n3.39403
   PubMed Web of Science ®Google Scholar
• Gardner, D. G. (1990). Task complexity effects on non-task-related movements: A test of activation theory. Organizational Behavior and Human Decision Processes, 45(2), 209–231. https://doi.org/10.1016/0749-5978(90)90012-X
   Web of Science ®Google Scholar
• Gibbs, R. W. J. (2005). Embodiment and cognitive science. Cambridge University Press.
   Google Scholar
• Gloor, P. (2017, January). Consistent excitement correlates with happiness - predicting mood through body sensing with smartwatches. ICKN White Paper. http://www.ickn.org/documents/Mood_Tracking_Smartwatch.pdf
   Google Scholar
• Gloor, P. A., Grippa, F., Putzke, J., Lassenius, C., Fuehres, H., Fischbach, K., & Schoder, D. (2012). Measuring social capital in creative teams through sociometric sensors. IJODE, 2(4), 380. https://doi.org/10.1504/IJODE.2012.051442
   Google Scholar
• Goldberger, A. L., Amaral, L. A., Hausdorff, J. M., Ivanov, P., Peng, C. K., & Stanley, H. E. (2002, Feb 19). Fractal dynamics in physiology: Alterations with disease and aging. Proceedings of the National Academy of Sciences of the United States of America, 99(1), 2466–2472. https://doi.org/10.1073/pnas.012579499
   PubMedGoogle Scholar
• Gracco, V. L. (1994, Feb). Some organizational characteristics of speech movement control. Journal of Speech and Hearing Research, 37(1), 4–27. https://doi.org/10.1044/jshr.3701.04
   PubMedGoogle Scholar
• Gross, J. J., & John, O. P. (1998). Mapping the domain of expressivity: Multimethod evidence for a hierarchical model. Journal of Personality and Social Psychology, 74(1), 170–191. https://doi.org/10.1037/0022-3514.74.1.170
   PubMed Web of Science ®Google Scholar
• Hanoch, Y, & Vitouch, O. (2004). When less is more. Theory & Psychology, 14(4), 427–452. 10.1177/0959354304044918
   Web of Science ®Google Scholar
• Han, L., Zhang, & Q, and Chen, X. (2017). Detecting work-related stress with a wearable device. Computers in Industry, 90 42–49. 10.1016/j.compind.2017.05.004
   Web of Science ®Google Scholar
• Hastie, T., Tibshirani, R., & Friedman, J. (2009). Random forests. The Elements of Statistical Learning, 587–604. https://doi.org/10.1007/978-0-387-84858-7_15
   Google Scholar
• Hoogeboom, M. A. M. G., Saeed, A., Noordzij, M. L., & Wilderom, C. P. M. (2021). Physiological arousal variability accompanying relations-oriented behaviors of effective leaders: Triangulating skin conductance, video-based behavior coding and perceived effectiveness. The Leadership Quarterly, 32(6). https://doi.org/10.1016/j.leaqua.2020.101493
   Web of Science ®Google Scholar
• Hostetter, A. B., & Alibali, M. W. (2004). On the tip of the mind: Gesture as a key to conceptualization. Annual meeting of the cognitive science society. Chicago.
   Google Scholar
• Hostetter, A. B., & Alibali, M. W. (2008, Jun). Visible embodiment: Gestures as simulated action. Psychonomic Bulletin & Review, 15(3), 495–514. https://doi.org/10.3758/pbr.15.3.495
   PubMed Web of Science ®Google Scholar
• Hüfken, V., & Schäfer, A. (2003). Zum Einfluss stimmlicher Merkmale und Überzeugungsstrategien der Interviewer auf die Teilnahme in Telefonumfragen. KZfSS Kölner Zeitschrift für Soziologie und Sozialpsychologie, 55(2), 321–339. https://doi.org/10.1007/s11577-003-0053-1
   Google Scholar
• Johnstone, T., & Scherer, K. R. (2000). Vocal communication of emotion. In M. Lewis & J. Haviland (Eds.), The handbook of emotion Vol. 2, (pp. 220–235).The Guilford Press.
   Google Scholar
• Kahneman, D., & Tversky, A. (1984). Choices, values, and frames. The American Psychologist, 39(4), 341–350. https://doi.org/10.1037/0003-066X.39.4.341
   Web of Science ®Google Scholar
• Kauffeld, S., & Lehmann-Willenbrock, N. (2011). Meetings matter. Small Group Research, 43(2), 130–158. https://doi.org/10.1177/1046496411429599
   Web of Science ®Google Scholar
• Kauffeld, S., & Lehmann-Willenbrock, N. (2012). Meetings Matter. Small Group Research, 43(2), 130–158. https://doi.org/10.1177/1046496411429599
   Web of Science ®Google Scholar
• Kensinger E A. (2007). Negative Emotion Enhances Memory Accuracy. Curr Dir Psychol Sci, 16(4), 213–218. 10.1111/j.1467-8721.2007.00506.x
   Web of Science ®Google Scholar
• Kensinger E A. (2009). Remembering the Details: Effects of Emotion. Emotion Review, 1(2), 99–113. 10.1177/1754073908100432
   PubMed Web of Science ®Google Scholar
• Kensinger, E. A., Brierley, B., Medford, N., Growdon, J. H., & Corkin, S. (2002). Effects of normal aging and Alzheimer's disease on emotional memory. Emotion, 2(2), 118–134. https://doi.org/10.1037/1528-3542.2.2.118
   PubMed Web of Science ®Google Scholar
• Kerr, N. L., MacCoun, R. J., & Kramer, G. P. (1996). Bias in judgment: Comparing individuals and groups. Psychological Review, 103(4), 687–719. https://doi.org/10.1037/0033-295x.103.4.687
   Web of Science ®Google Scholar
• Kreibig, S. D. (2010, Jul). Autonomic nervous system activity in emotion: A review. Biological Psychology, 84(3), 394–421. https://doi.org/10.1016/j.biopsycho.2010.03.010
   PubMed Web of Science ®Google Scholar
• Kring, A. M., & Gordon, A. H. (1998). Sex differences in emotion: Expression, experience, and physiology. Journal of Personality and Social Psychology, 74(3), 686–703. https://doi.org/10.1037/0022-3514.74.3.686
   PubMed Web of Science ®Google Scholar
• Leach, D. J., Rogelberg, S. G., Warr, P. B., & Burnfield, J. L. (2009). Perceived Meeting Effectiveness: The Role of Design Characteristics. Journal of Business and Psychology, 24(1), 65–76. https://doi.org/10.1007/s10869-009-9092-6
   Web of Science ®Google Scholar
• Lee, C. -C., Lin, Y. -H., Huang, H. -C., Huang, W. -W., & Teng, H. -H. (2015). The effects of task interdependence, team cooperation, and team conflict on job performance. Social Behavior and Personality: An International Journal, 43(4), 529–536. https://doi.org/10.2224/sbp.2015.43.4.529
   Web of Science ®Google Scholar
• Lehmann-Willenbrock, N., Meyers, R. A., Kauffeld, S., Neininger, A., & Henschel, A. (2011). Verbal Interaction Sequences and Group Mood. Small Group Research, 42(6), 639–668. https://doi.org/10.1177/1046496411398397
   Web of Science ®Google Scholar
• Long, J Scott, & Ervin, L H. (2000). Using Heteroscedasticity Consistent Standard Errors in the Linear Regression Model. The American Statistician, 54(3), 217–224. 10.1080/00031305.2000.10474549
   Web of Science ®Google Scholar
• Lorah, J., & Womack, A. (2019). Value of sample size for computation of the Bayesian information criterion (BIC) in multilevel modeling. Behav Res, 51(1), 440–450. https://doi.org/10.3758/s13428-018-1188-3
   Google Scholar
• Louis M Reis. (1980). Surprise and Sense Making: What Newcomers Experience in Entering Unfamiliar Organizational Settings. Administrative Science Quarterly, 25(2), 226. 10.2307/2392453
   PubMed Web of Science ®Google Scholar
• Marks, M., Mathieu, J. E., & Zaccaro, S. (2001). A temporally based framework and taxonomy of team processes. Academy of Management Review, 26, 356–376. https://doi.org/10.2307/259182
   Web of Science ®Google Scholar
• Massaro, S., & Pecchia, L. (2016). Heart rate variability (HRV) analysis: A methodology for organizational neuroscience. Organizational Research Methods, 22(1), 354–393. https://doi.org/10.1177/1094428116681072
   Google Scholar
• Mazzola, J. J., & Disselhorst, R. (2019). Should we be “challenging” employees?: A critical review and meta‐analysis of the challenge‐hindrance model of stress. Journal of Organizational Behavior, 40(8), 949–961. https://doi.org/10.1002/job.2412
   Web of Science ®Google Scholar
• Mirivel, J. C., & Tracy, K. (2005). Premeeting Talk: An Organizationally Crucial Form of Talk. Research on Language & Social Interaction, 38(1), 1–34. https://doi.org/10.1207/s15327973rlsi3801_1
   Web of Science ®Google Scholar
• Montepare, J., Koff, E., Zaitchik, D., & Albert, M. (1999). The use of body movements and gestures as cues to emotions in younger and older adults. Journal of Nonverbal Behavior, 23(2), 133–152. https://doi.org/10.1023/A:1021435526134
   Web of Science ®Google Scholar
• Navarro, J., & Rueff-Lopes, R. (2015). Healthy variability in organizational behavior: Em- pirical evidence and new steps for future research. Nonlinear Dynamics, Psychology, and Life Sciences, 19(4), 529–552.
   PubMed Web of Science ®Google Scholar
• Neiss, R. (1988, May). Reconceptualizing arousal: Psychobiological states in motor performance. Psychological Bulletin, 103(3), 345–366. https://doi.org/10.1037/0033-2909.103.3.345
   PubMed Web of Science ®Google Scholar
• Oksenberg, L., & Cannell, C. F. (1988). Effects of vocal characteristics on nonresponse. In R. M. Groves, P. P. Biemer, L. E. Lyberg, J. T. Massey, W. L. Nicholls, & J. Waksberg (Eds.), Telephone survey methodology (Vol. 328, pp. 257–269). John Wiley & Sons.
   Google Scholar
• Oksenberg, L., Coleman, L., & Cannell, C. F. (1986). Interviewers’ voices and refusal rates in telephone surveys. Public Opinion Quarterly, 50(1), 97–111. https://doi.org/10.1086/268962
   Web of Science ®Google Scholar
• Olguin-Olguin, D., Gloor, P., & Pentlant, A. S. (2009). Capturing individual and group behavior with wearable sensors. AAAI 2009 Spring Symposium, Stanford.
   Google Scholar
• Olguin-Olguin, D., & Pentlant, A. S. (2010). Sensor-based organisational design and engineering. International Journal of Organisational Design and Engineering, 1(1–2), 69–97.
   Google Scholar
• Peeters, G., & Czapinski, J. (1990). Positive-Negative Asymmetry in Evaluations: The Distinction Between Affective and Informational Negativity Effects. European Review of Social Psychology, 1(1), 33–60. https://doi.org/10.1080/14792779108401856
   Google Scholar
• Pentlant, A. S. (2008). Honest Signals: How they Shape Our World. MIT Press. https://doi.org/10.7551/mitpress/8022.001.0001
   Google Scholar
• Petty, M. M., McGee, G. W., & Cavender, J. W. (1984). A Meta-Analysis of the Relationships between Individual Job Satisfaction and Individual Performance. Academy of Management Review, 9(4), 712. https://doi.org/10.2307/258493
   Web of Science ®Google Scholar
• Pollick, F. E., Paterson, H. M., Bruderlin, A., & Sanford, A. J. (2001). Perceiving affect from arm movement. Cognition, 82(2), B51–61. https://doi.org/10.1016/S0010-0277(01)00147-0
   PubMed Web of Science ®Google Scholar
• Posner, J., Russell, J. A., & Peterson, B. S. (2005). The circumplex model of affect: An integrative approach to affective neuroscience, cognitive development, and psychopathology. Development and Psychopathology, 17(3), 715–734. https://doi.org/10.1017/S0954579405050340. Summer.
   PubMed Web of Science ®Google Scholar
• Ramos-Villagrasa, P. J., Navarro, J., & García-Izquierdo, A. L. (2012). Chaotic dynamics and team effectiveness: Evidence from professional basketball. European Journal of Work and Organizational Psychology, 21(5), 778–802. https://doi.org/10.1080/1359432x.2012.669525
   Web of Science ®Google Scholar
• Rauscher, F. H., Krauss, R. M., & Chen, Y. (1996). Gesture, speech, and lexical access: The role of lexical movements in speech production. Psychological Science, 7(4), 226–231. https://doi.org/10.1111/j.1467-9280.1996.tb00364.x
   Web of Science ®Google Scholar
• Rogelberg, S. G., Allen, J. A., Shanock, L., Scott, C., & Shuffler, M. (2010). Employee satisfaction with meetings: A contemporary facet of job satisfaction. Human Resource Management, 49(2), 149–172. https://doi.org/10.1002/hrm.20339
   Web of Science ®Google Scholar
• Rogelberg, S. G., Leach, D. J., Warr, P. B., & Burnfield, J. L. (2006). ”Not Another Meeting!” are Meeting Time Demands Related to Employee Well-Being?. The Journal of Applied Psychology, 91(1), 83–96. https://doi.org/10.1037/0021-9010.91.1.83
   PubMed Web of Science ®Google Scholar
• Rogelberg, S. G., Scott, C., & Kello, J. (2007). The science and fiction of meetings. MIT Sloan management review, 48(2), 18-21.
   Google Scholar
• Rozin, P., & Royzman, E. B. (2001). Negativity Bias, Negativity Dominance, and Contagion. Personality and Social Psychology Review : An Official Journal of the Society for Personality and Social Psychology, Inc, 5(4), 296–320. https://doi.org/10.1207/S15327957PSPR0504_2
   Web of Science ®Google Scholar
• Sawada, M., Suda, K., & Ishii, M. (2003). Expression of Emotions in Dance: Relation between Arm Movement Characteristics and Emotion. Perceptual and Motor Skills, 97(3), 697–708. https://doi.org/10.2466/pms.2003.97.3.697
   PubMed Web of Science ®Google Scholar
• Schell, Alexander 2010 Meeting-Kultur in europäischen Unternehmen: Ad-hoc-Umfrage unter Mitarbeitern und Führungskräften, die regelmäßig an Business-Meetings teilnehmen [European business meeting culture: An ad-hoc survey of employees and managers who regularly participate in business meetings] (Schell Marketing Consulting)
   Google Scholar
• Scherer, K. R. (1979). Personality markers in speech. In K. R. Scherer & H. Giles (Eds.), Social markers in speech (pp. 58–79). Cambridge University Press
   Google Scholar
• Schwarz, N. (2012). Feelings-as-information theory. In P. A. M. Van Lange, A. W. Kruglanski, & E. T. Higgins (Eds.), Handbook of theories of social psychology (pp. 289–308). Sage Publications Ltd. https://doi.org/10.4135/9781446249215.n15
   Google Scholar
• Shanock, L. R., Allen, J. A., Dunn, A. M., Baran, B. E., Scott, C. W., & Rogelberg, S. G. (2013). Less acting, more doing: How surface acting relates to perceived meeting effectiveness and other employee outcomes. Journal of Occupational and Organizational Psychology, 86(4), 457–476. https://doi.org/10.1111/joop.12037
   Web of Science ®Google Scholar
• Sharf, D. J., & Lehman, M. E. (1984). Relationship between the speech characteristics and effectiveness of telephone interviewers. Journal of Phonetics, 12(3), 219–228. https://doi.org/10.1016/S0095-4470(19)30878-2
   Web of Science ®Google Scholar
• Strobl, C., Boulesteix, A., Kneib, T., Augustin, T., & Zeileis, A. (2008). Conditional variable importance for random forests. BMC Bioinformatics, 9(1). https://doi.org/10.1186/1471-2105-9-307
   PubMedGoogle Scholar
• Sun, L., & Gloor, P. A. (2019). Measuring Moral Values with Smartwatch-based Body Sensors. Proceedings of the 9th International Conference on Collaborative Innovation Networks (COINs) (pp. 51–66). https://doi.org/10.1007/978-3-030-48993-9_4
   Google Scholar
• Sun, L., Gloor, P. A., Stein, M., Eirich, J., & Wen, Q. (2020). “No Pain No Gain”: Predicting Creativity Through Body Signals. In: A. Przegalinska, F. Grippa, & P. Gloor (Eds.) Digital Transformation of Collaboration. COINs 2019. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-48993-9_1
   Google Scholar
• Talarico, J. M., LaBar, K. S., & Rubin, D. C. (2004, Oct). Emotional intensity predicts autobiographical memory experience. Memory & Cognition, 32(7), 1118–1132. https://doi.org/10.3758/bf03196886
   PubMed Web of Science ®Google Scholar
• T. Giraud et al., ”Multimodal Expressions of Stress during a Public Speaking Task: Collection, Annotation and Global Analyses,” 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, 2013, pp. 417–422, doi: 10.1109/ACII.2013.75.
   Google Scholar
• Valenza, G., Citi, L., Lanata, A., Scilingo, E. P., & Barbieri, R. (2014, May). Revealing real-time emotional responses: A personalized assessment based on heartbeat dynamics. Scientific reports, 4(1), 4998. https://doi.org/10.1038/srep04998
   PubMed Web of Science ®Google Scholar
• van der Vaart, W., Ongena, Y., Hoogendoorn, A., & Dijkstra, W. (2005). Do interviewers’ voice characteristics influence cooperation rates in telephone surveys? International Journal of Public Opinion Research, 18(4), 488–499. https://doi.org/10.1093/ijpor/edh117
   Web of Science ®Google Scholar
• Wallbott, H.G. (1998), Bodily expression of emotion. Eur. J. Soc. Psychol., 28: 879–896. https://doi.org/10.1002/(SICI)1099-0992(1998110)28:6&<879::AID-EJSP901&>3.0.CO;2-W
   Web of Science ®Google Scholar
• Waller, L., Reitz, M., Poole, E., Riddell, P. M., & Muir, A. (2017). Experiential learning as preparation for leadership. Leadership & Organization Development Journal, 38(4), 513–529. https://doi.org/10.1108/lodj-03-2015-0057
   Web of Science ®Google Scholar
• Wang, C. A., Baird, T., Huang, J., Coutinho, J. D., Brien, D. C., & Munoz, D. P. (2018). Arousal effects on pupil size, heart rate, and skin conductance in an emotional face task. Frontiers in neurology, 9, 1029. https://doi.org/10.3389/fneur.2018.01029
   PubMed Web of Science ®Google Scholar
• Weiss, H. M., & Cropanzano, R. (1996). Affective events theory. Research in Organizational Behavior, 18(1), 1–74.
   Google Scholar
• Woolley, A. C Pentland, F., Hashmi, A. & Malone, T. (2010). Evidence for a Collective Intelligence Factor in the Performance of Human Groups. Science, 330(6004), 686–688. https://doi.org/10.1126/science.1193147
   PubMed Web of Science ®Google Scholar
• Yerkes, R. M., & Dodson, J. D. (1908). The relation of strength of stimulus to rapidity of habit-formation. J. Comp. Neurol. Psychol, 18(5), 459–482. https://doi.org/10.1002/cne.920180503
   Google Scholar