The Learning Affect Monitor (LAM)
Abstract
Abstract. The Learning Affect Monitor (LAM) is a new computer-based assessment system integrating basic dimensional evaluation and discrete description of affective states in daily life, based on an autonomous adapting system. Subjects evaluate their affective states according to a tridimensional space (valence and activation circumplex as well as global intensity) and then qualify it using up to 30 adjective descriptors chosen from a list. The system gradually adapts to the user, enabling the affect descriptors it presents to be increasingly relevant. An initial study with 51 subjects, using a 1 week time-sampling with 8 to 10 randomized signals per day, produced n = 2,813 records with good reliability measures (e.g., response rate of 88.8%, mean split-half reliability of .86), user acceptance, and usability. Multilevel analyses show circadian and hebdomadal patterns, and significant individual and situational variance components of the basic dimension evaluations. Validity analyses indicate sound assignment of qualitative affect descriptors in the bidimensional semantic space according to the circumplex model of basic affect dimensions. The LAM assessment module can be implemented on different platforms (palm, desk, mobile phone) and provides very rapid and meaningful data collection, preserving complex and interindividually comparable information in the domain of emotion and well-being.
References
Alpers, G.W. Wilhelm, F.H. Roth, W.T. (2005). Psychophysiological assessment during exposure in driving-phobic patients. Journal of Abnormal Psychology, 114, 126– 139Barrett, L.F. Russell, J.A. (1998). Independence and bipolarity in the structure of current affect. Journal of Personality and Social Psychology, 74, 967– 984Christie, I.C. Friedman, B.H. (2004). Autonomic specificity of discrete emotion and dimensions of affective space: A multivariate approach. International Journal of Psychophysiology, 51, 143– 153Cranford, J.A. Shrout, P.E. Iida, M. Rafaeli, E. Yip, T. Bolger, N. (2006). A procedure for evaluating sensitivity to within-person change: Can mood measures in diary studies detect change reliably?. Personality and Social Psychology Bulletin, 32, 917– 929Darwin, C. (1872). The expression of emotions in man and animals . London: John Murray (3rd ed.). London: Oxford University PressDelespaul, P. (1995). Assessing schizophrenia in daily life. The experience sampling method . Maastricht: Maastricht University PressDiaz, J.L. Flores, E.O. Sagan, F. (2001). The structure of human emotions: A chromatic model of the affective system. Salud Mental, 24(4), 20– 35Diener, E. Smith, H. Fujita, F. (1995). The personality structure of affect. Journal of Personality and Social Psychology, 69, 130– 141Ebner-Priemer, U. Ed. (2006). Ambulantes psychophysiologisches Monitoring - neue Perspektiven und Anwendungen . [Ambulatory psychophysiological monitoring - New perspectives and applications]. Frankfurt/Main: Peter LangEbner-Priemer, U.W. Kuo, J. Shaw Welch, S. Thielgen, T. Witte, S. Bohus, M. (2006). A valence-dependent group-specific recall bias of retrospective self-reports. The Journal of Nervous and Mental Disease, 194, 774– 779Eid, M. Diener, E. Eds. (2006). Handbook of multimethod measurement in psychology . Washington, DC: American Psychological AssociationEkkekakis, P. Hall, E.E. VanLanduyt, L.M. Pettruzello, S.J. (2000). Walking in (affective) circles: Can short walks enhance affect?. Journal of Behavioral Medicine, 23, 245– 275Ekman, P. (1992). An argument for basic emotions. Cognition and Emotion, 6, 169– 200Ekman, P. Davidson, R.J. Eds. (1994). The nature of emotion: Fundamental questions . New York: Oxford University PressEkman, P. Friesen, W.V. (1978). Facial action coding system . Palo Alto, CA: Consulting Psychologist PressFahrenberg, J. Brügner, G. Foerster, F. Käppler, C. (1999). Ambulatory assessment of diurnal changes with a hand-held computer: Mood, attention, and morningness-eveningness. Personality and Individual Differences, 26, 641– 656Fahrenberg, J. Myrtek, M. Eds. (1996). Ambulatory assessment: Computer-assisted psychological and psychophysiological methods in monitoring and field studies . Göttingen: Hogrefe & HuberFahrenberg, J. Myrtek, M. Eds. (2001). Progress in ambulatory assessment: Computer-assisted psychological and psychophysiological methods in monitoring and field studies . Seattle: Hogrefe & HuberFaith, M. Thayer, J.F. (2001). A dynamical systems interpretation of a dimensional model of emotion. Scandinavian Journal of Psychology, 42, 121– 133Feldman Barrett, L. (1998). Discrete emotions or dimensions? The role of valence focus and arousal focus. Cognition and Emotion, 12, 579– 599Frijda, N. (1993). Mood, emotion episodes, and emotions. In M. Lewis & J.M. Haviland (Eds.), Handbook of emotions (pp. 381-403). New York: GuilfordGross, J.J. (1998). The emerging field of emotion regulation: An integrative review. Review of General Psychology, 1998, 2, 271– 299Izard, C.E. (1977). Human emotions . New York: PlenumIzard, C.E. (1991). The psychology of emotions . New York: PlenumJacob, R.G. Thayer, J.F. Manuck, S.B. Muldoon, M.F. Tamres, L.K. Williams, D.M. (1999). Ambulatory blood pressure responses and the circumplex model of mood: A 4-day study. Psychosomatic Medicine, 61, 319– 333Lang, P.J. (1995). The emotion probe: Studies of motivation and attention. American Psychologist, 50, 372– 385Larsen, R.J. (1987). The stability of mood variability: A spectral analytic approach to daily mood assessments. Journal of Personality and Social Psychology, 52, 1195– 1204Lazarus, R.S. (1991). Emotion and adaptation . New York: Oxford University PressMorris, W.N. (1989). Mood: The frame of mind . New York: Springer-VerlagNew, B. Pallier, C. Ferrand, L. Matos, R. (2001). Une base de données lexicales du français contemporain sur internet: LEXIQUE. [A lexical database for contemporary French: LEXIQUE] L'Année Psychologique, 101, 447– 462Ortony, A. Turner, T.J. (1990). What's basic about basic emotions?. Psychological Review, 97, 315– 331Osgood, C.E. (1969). On the whys and wherefores of E, P, and A. Journal of Personality and Social Psychology, 12, 194– 199Ouss, L. Carton, S. Jouvent, R. Wildlöcher, D. (1990). Traduction et validation de l'échelle d'émotions différentielles d'Izard: Exploration de la qualification verbale des émotions. [Translation and validation of the Differential Emotions Scale: Exploration of the verbal qualifications of emotions] L'Encéphale, 16, 453– 458Parkinson, B. Totterdell, P. Briner, R.B. Reynolds, S. (1996). Changing moods: The psychology of mood and mood regulation . London: LongmanPawlik, K. Buse, L. (1982). Rechnergestützte Verhaltensregistrierung im Feld: Beschreibung und erste psychometrische Überprüfung einer neuen Erhebungsmethode. [Computer-assisted recording of behavior in the field: Description and first psychometric evaluation of a new assessment method] Zeitschrift für Differentielle und Diagnostische Psychologie, 3, 101– 118Perrez, M. Reicherts, M. (1987). Coping behavior in the natural setting: A method of computer-aided self-observation. In H.-P. Dauwalder, M. Perrez, & V. Hobi (Eds.), Controversial issues in behavior modification (pp. 127-137). Lisse: Swets & ZeitlingerPerrez, M. Reicherts, M. (1989). Belastungsverarbeitung. Computergestützte Selbstbeobachtung im Feld. [Coping with stress. Computer-assisted self-observation in the field] Zeitschrift für Differentielle und Diagnostische Psychologie, 10, 129– 139Perrez, M. Reicherts, M. (1992). Stress, coping, and health. A situation-behavior approach . Seattle: Hogrefe & HuberPerrez, M. Reicherts, M. (1996). A computer-assisted self-monitoring procedure for assessing stress-related behavior under real life conditions. In J. Fahrenberg & M. Myrtek (Eds.), Ambulatory assessment. Computer-assisted psychological and psychophysiological methods in monitoring and field studies (pp. 51-67). Seattle: Hogrefe & HuberPerrez, M. Schoebi, D. Wilhelm, P. (2000). How to assess social regulation of stress and emotions in daily family life? A computer-assisted family self-monitoring system (FASEM-C). Clinical Psychology and Psychotherapy, 7, 326– 339Perrez, M. Wilhelm, P. Schoebi, D. Horner, M. (2001). Simultaneous computer assisted assessment of causal attribution and social coping in families. In J. Fahrenberg & M. Myrtek (Eds.), Progress in ambulatory assessment (pp. 25-43). Seattle: Hogrefe & HuberPlutchik, R. (1991). The emotions . Lanham, MD: University Press of AmericaPlutchik, R. Kellerman, H. Eds. (1989). The measurement of emotions . New York: Academic PressRasbash, J. Steele, F. Browne, W. Prosser, B. (2005). A user's guide to MSwiN Version 2.0 . Bristol, UK: Centre for Multilevel Modeling, University of BristolReicherts, M. Perrez, M. (1993). Fragebogen zum Umgang mit Belastungen im Verlauf UBV . Bern: Huber. (English version “Stress and Coping Process Questionnaire” SCPQ in M. Perrez & M. Reicherts, Stress, coping, and health. A situation behavior-approach (pp. 41-56/207-225). Seattle: Hogrefe & Huber.)Reicherts, M. Pihet, S. (2000). Job newcomers coping with stressful situations. A micro-analysis of adequate coping and well-being. Swiss Journal of Psychology, 39, 303– 316Reicherts, M. Salamin, V. Maggiori, C. Pauls, K. (2005). The “Learning Affect Grid.” Computer-based monitoring of affective states. Theory, construction, validity study and user manual (French version) (Scientific Report No. 165). Fribourg: University, Department of PsychologyReise, S.P, Ventura, J. Nuechterlein, K.H. Kim, K.H. (2005). An illustration of multilevel factor analysis. Journal of Personality Assessment, 84, 126– 136Russell, J.A. (1980). A circumplex model of affect. Journal of Personality and Social Psychology, 39, 1161– 1178Russell, J.A. Mehrabian, A. (1977). Evidence for a three-factor theory of emotion. Journal of Research in Personality, 11, 273– 294Russell, J.A. Weiss, A. Mendelsohn, G.A. (1989). Affect grid: A single-item scale of pleasure and arousal. Journal of Personality and Social Psychology, 57, 493– 502Schallberger, U. Pfister, R. (2001). Flow-Erleben in Arbeit und Freizeit. Eine Untersuchung zum “Paradox der Arbeit” mit der Experience Sampling Method (ESM). [Flow experience during work and leisure. A study on the “paradox of work” using the Experience Sampling Method (ESM)] Zeitschrift für Arbeits- und Organizationspsychologie, 45, 176– 187Scherer, K.R. (1984). On the nature and function of emotion: A component process approach. In K.R. Scherer & P.E. Ekman (Eds.), Approaches to emotion (pp. 293-317). Hillsdale, NJ: ErlbaumScherer, K.R. (1988). Labels describing affective states in five major languages. In K.R. Scherer (Ed.). Facets of emotions: Recent research (pp. 241-243). Hillsdale, NJ: ErlbaumScherer, K (). Introduction: Cognitive components of emotion. In R.J. Davidson, H. Goldsmith, & K.R. Scherer (Eds.). Handbook of the affective sciences (pp. 563-571). New York and Oxford: Oxford University PressScherer, K.R. (2005). What are emotions? And how can they be measured?. Social Science Information, 44, 693– 727Snijders, T.A.B. Bosker, R.J. (1999). Multilevel analysis. An introduction to basic and advanced multilevel modeling . London: SageTomkins, S.S. (1984). Affect theory. In P. Ekman (Ed.), Emotion in the human face (2nd ed. pp. 353-395). New York: Cambridge University PressVansteelandt, K. Mechelen, I.V. Nezlek, J.B. (2005). The co-occurrence of emotions in daily life: A multilevel approach. Journal of Research in Personality, 39, 325– 335Västfjäll, D. Friman, M. Gärling, T. Kleiner, M. (2002). The measurement of core affect: A Swedish self-report measure derived from the affect circumplex. Scandinavian Journal of Psychology, 43, 19– 31Watson, D. Clark, L.A. Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54, 1063– 1070Watson, D. Wiese, D. Vaidya, J. Tellegen, A. (1999). The two general activation systems of affect: Structural findings, evolutionary considerations, and psychobiological evidence. Journal of Personality and Social Psychology, 76, 820– 838White, J.P. Hemphill, D.A. (2002). Java 2 micro edition . Greenwich: Manning PublicationsWilhelm, P. (2001). A multilevel approach to analyze ambulatory assessment data: An examination of family members' emotional state in daily life. In J. Fahrenberg & M. Myrtek (Eds.), Progress in ambulatory assessment (pp. 173-189). Seattle: Hogrefe & HuberWilhelm, P. Perrez, M. (2004). How is my partner feeling in different daily-life settings? Accuracy of spouses' judgments about their partner's feelings at work and at home. Social Indicators Research, 67, 183– 246Wundt, W. (1896). Grundriss der Psychologie . [Outlines of psychology]. Leipzig: EngelmannZelenski, J.M. Larsen, R.J. (2000). The distribution of emotions in everyday life: A state and trait perspective from experience sampling data. Journal of Research in Personality, 34, 178– 197