research-article

PAM: a photographic affect meter for frequent, in situ measurement of affect

Authors:

John P. Pollak,

Geri GayAuthors Info & Claims

CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 725 - 734

https://doi.org/10.1145/1978942.1979047

Published: 07 May 2011 Publication History

Abstract

The assessment of emotion, or affect, is critical for anyone trying to understand human behavior. But there is a problem: affect as a state is frequently changing and difficult to recall and express, yet in research, we typically only assess it via a single questionnaire at the end of a study. This work presents PAM, the Photographic Affect Meter, a novel tool for measuring affect in which users select from a wide variety of photos the one which best suits their current mood. Our findings indicate that PAM-which takes seconds to complete and is designed to run on modern mobile phones and mobile computing devices-demonstrates strong construct validity across two studies and is very well suited for frequent sampling in context. This work provides a tool to researchers in need of frequent assessment of affect and guidance to others interested in developing similar measurement tools.

References

[1]

Barrett, L.F. & Barrett, D.J. An introduction to computerized experience sampling in psychology. Social Science Computer Review, 19,2 (2001), 175--185.

Digital Library

[2]

Boehner, K, DePaula, R, Dourish, P, Sengers, P. How emotion is made and measured. Intl J Human-Computer Studies, 65,4 (2007), 275--291.

Digital Library

[3]

Bradley, M.M. & Lang, P.J. Measuring emotion: the self-assessment manikin and the semantic differential. J Behavioral Therapy and Experimental Psychiatry, 25,1 (1994), 49--59.

[4]

Burisch, M. You don't always get what you pay for: Measuring depression with short and simple versus long and sophisticated scales. J Research in Personality 18,1 (1984), 81--98.

[5]

Campbell, D.T. & Fiske, D.W. Convergent and discriminant validity by the multitrait-multimethod matrix. Psychological Bulletin, 56,2 (1959), 81--105.

[6]

Chalfen, R. Snapshot Versions of Life. Bowling Green, 1987.

[7]

Charlson, M.E., Boutin-Foster, C., Mancuso, C.A., Peterson, J.C., Ogedegbe, G., Briggs, W.M., Robbins, L., Isen, A.M., Allegrante, J.P. Randomized controlled trials of positive affect and self-affirmation to facilitate healthy behaviors in patients with cardiopulmonary diseases: rationale, trial design, and methods. Contemporary clinical trials, 28,6 (2007), 748--62.

[8]

Cook, T.D. & Campbell, D.T. Quasi-experimentation design & analysis for field settings. Houghton Mifflen, Boston, 1979.

[9]

Cohen, S. & Pressman, S.D. Positive affect and health. Current Directions in Psychological Science, 15,3 (2006), 122--125.

[10]

Crawford, J.R. & Henry, J.D. Positive and Negative Affect Schedule (PANAS): Construct validity, measurement properties and normative data in a large non-clinical sample. British Journal of Clinical Psychology, 44 (2004), 245--265.

[11]

Cronbach, L.J. Five perspectives on validity argument. In Wainer, H. & Braun, H.I. (Eds.) Test validity. Lawrene Erlbaum Assoc., New Jersey, 1988.

[12]

Csikszentmihalyi, K. & Hunter, M. Happiness in everyday life: The uses of experience sampling. J Happiness Studies, 4 (2003), 185--199.

[13]

D'Andrade, R. & Egan, M. The Colors of Emotion. American Ethnologist, 1,1 (1974), 49--63.

[14]

Epstein, D.H., Willner-Reid, J., Vahabzadeh, M., Mezghanni, M., Lin, J.L., Preston, K.L. Real-time electronic diary reports of cue exposure and mood in the hours before cocaine and heroin craving and use. Arch Gen Psychiatry, 66,1 (2009), 88--94.

[15]

Froehlich, J., Chen, M.Y., Consolvo, S. MyExperience: a system for in situ tracing and capturing of user feedback on mobile phones. Proc Mobysis 2007, (2007).

Digital Library

[16]

George, J.M. Trait and State Affect. In K.R. Murphy (Ed) Individual Differences and Behavior in Organizations, (1996), 145--171.

[17]

Google Scholar, www.google.com/scholar, 9/23/10.

[18]

Harmon-Jones, E., Harmon-Jones, C., Abramson, L., Peterson, C.K. PANAS Positive Activation Is Associated With Anger. Emotion, 9,2 (2009), 183--196.

[19]

Isomursu, M., Tähti, M., Väinämö, S., Kuutti, K. Experimental evaluation of five methods for collecting emotions in field settings with mobile applications. International Journal of Human-Computer Studies, 65 (2007), 404--418.

Digital Library

[20]

Kahneman, D., Objective Happiness. Kahneman, D., Diener, E. and Schwarz, N. (Eds.) Well-Being: The Foundations of Hedonic Psychology, (1999), 3--25.

[21]

Lang, P. The Emotion Probe: Studies of Motivation and Attention. American Psychologist, 50,5 (1995), 372--85.

[22]

Larson, R. & Csikszentmihalyi, M. The Experience Sampling Method. New Directions for Methodology of Social and Behavioral Science, 15 (1983), 41--56.

[23]

Lazarus, R. & Lazarus, B. Passion and Reason: Making Sense of Our Emotions. Oxford U. Press, 1994.

[24]

McGuire, W.J. A contextualist theory of knowledge: Its implications for innovation and reform in psychological research. In Berkowitz, L. (Ed) Advances in experimental social psychology, Vol 16. (1983), 1--43.

[25]

Macht, M., How emotions effect eating: a five-way model. Appetite, 50,1 (2008), 1--11.

[26]

Mancuso, C.A. & Charlson, M.E. Does Recollection Error Threaten the Validity of Cross-Sectional Studies of Effectiveness? Med Care, 33,4 (1995), AS77-AS88.

[27]

Mayer, J., DiPaulo, M., Salovey, P. Perceiving Affective Content in Ambiguous Visual Stimuli: A Component of Emotional Intelligence. J. Personality Assessment, 54,3 (1990) 772--781.

[28]

Mehrabian, A. & Russell, J.A. An approach to environmental psychology. MIT Press, Boston, 1974.

[29]

Meschtscherjakov, A., Weiss, A., Scherndl, T. Utilizing Emoticons on mobile devices within ESM studies to measure emotions in the field. MobileHCI 2009 (2009).

[30]

MoodJam Research Group. MoodJam. www.moodjam.org (Verified, 9/23/2010).

[31]

Morris, M.E., Kathawala, Q., Leen, T.K., Gorenstein, E.E., Guilak, F., Labhard, M., Deleeuw, W. Mobile therapy: case study evaluations of a cell phone application for emotional self-awareness. Journal of Medical Internet Research, 12,2 (2010), e10.

[32]

Moskowitz, D.S. & Young, S.N. Ecological momentary assessment: what it is and why it is a method of the future in clinical psychopharmacology. J Psychiatry Neurosci, 31,1 (2006), 13--20.

[33]

Naz, K & Helen, H. Color-Emotion Associations: Past Experience and Personal Preference. Proc. AIC 2004, (2004).

[34]

Pennebaker, J., Zech, E., Rimé, B. Disclosing and Sharing Emotion: Psychological, Social, and Health Consequences. Handbook of Bereavement Research: Consequences. APA, Washington, DC, 2001.

[35]

Pressman, S.D. & Cohen, S. Does Positive Affect Influence Health? Psych Bulletin, 131,6 (2005), 925--71.

[36]

Reis, H.T., Gable, S.L. Event-sampling and other methods for studying everyday experience. Reis, H.T., and Judd, C.M. (Eds) Handbook of Research Methods in Social and Personality Psychology, (2000).

[37]

Russell, J.A., Weiss, A., Mendelsohn, G.A. Affect Grid: A Single-Item Scale of Pleasure and Arousal. J Personality and Social Psych, 57,3 (1989), 493--502.

[38]

Russell, J. A Circumplex Model of Affect. J. Personality and Social Psych, 39,4 (1980) 1161--1178.

[39]

Scherer, K.R. What are emotions? And how can they be measured? Social Science Info, 44,4 (2005), 695--729.

[40]

Sengers, P., Boehner, K., Mateas, M., Gay, G. The Disenchantment of Affect. Personal and Ubiquitous Computing, 12(5), (2008).

Digital Library

[41]

Slovic, P., Finuane, M.L., Peters, E. The affect heuristic. Eur J of Operational Research, 177 (2007), 1333--1352.

[42]

Stone, A.A. & Shiffman, S. Capturing momentary, self-report data: A proposal for reporting guidelines. Annals of Behavioral Medicine, 24,3 (2002), 236--43.

[43]

Sundstrom, P., Stahl, A., Hoo?k, K. In Situ Informants Exploring an Emotional Mobile Messaging System in Their Everyday Practice. Intl. J. Human-Computer Studies (2007).

Digital Library

[44]

Watson, D., Wiese, D., Vaidya, J., Tellegen, A. The Two General Activation Systems of Affect: Structural Findings, Evolutionary Considerations, and Psychobiological Evidence. J of personality and social psychology, 76,5 (1999), 820--38.

[45]

Watson, D., Clark, L.A., Tellegen, A. Development and Validation of Brief Measures of Positive and Negative Affect: The PANAS Scales. J Personality and Social Psychology, 54,6 (1988), 1063--1070.

[46]

Wundt, W., Fundamentals of physiological psychology, 1905.

Cited By

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https://doi.org/10.1007/s10865-025-00549-y
Oewel BArean PAgapie E(2024)Approaches for tailoring between-session mental health therapy activitiesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642856(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642856
Slovak PMunson S(2024)HCI Contributions in Mental Health: A Modular Framework to Guide Psychosocial Intervention DesignProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642624(1-21)Online publication date: 11-May-2024
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Index Terms

PAM: a photographic affect meter for frequent, in situ measurement of affect
1. Applied computing
  1. Law, social and behavioral sciences
2. Human-centered computing
  1. Human computer interaction (HCI)

Index terms have been assigned to the content through auto-classification.

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Published In

cover image ACM Conferences

CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

May 2011

3530 pages

ISBN:9781450302289

DOI:10.1145/1978942

General Chair:
Desney Tan
Microsoft Research
,
Program Chairs:
Geraldine Fitzpatrick
Vienna University of Technology
,
Carl Gutwin
University of Saskatchewan
,
Bo Begole
PARC
,
Wendy A. Kellogg
IBM Research

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 07 May 2011

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May 7 - 12, 2011

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CHI '11 Paper Acceptance Rate 410 of 1,532 submissions, 27%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Sleboda PSobolev MMuench FSalvy SDatta G(2025)Self-control, food choices, and affective well-being in daily life: an experience sampling studyJournal of Behavioral Medicine10.1007/s10865-025-00549-yOnline publication date: 20-Feb-2025
https://doi.org/10.1007/s10865-025-00549-y
Oewel BArean PAgapie E(2024)Approaches for tailoring between-session mental health therapy activitiesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642856(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642856
Slovak PMunson S(2024)HCI Contributions in Mental Health: A Modular Framework to Guide Psychosocial Intervention DesignProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642624(1-21)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642624
Jiang WWindl MTag BSarsenbayeva ZMayer S(2024)An Immersive and Interactive VR Dataset to Elicit EmotionsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345620230:11(7343-7353)Online publication date: Nov-2024
https://doi.org/10.1109/TVCG.2024.3456202
Gautam RLin BYang M(2024)Few-Shot Learning for Detecting Affective States from Keyboard and Mouse Data2024 IEEE 11th International Conference on Data Science and Advanced Analytics (DSAA)10.1109/DSAA61799.2024.10722795(1-7)Online publication date: 6-Oct-2024
https://doi.org/10.1109/DSAA61799.2024.10722795
Heinisch JKirchhoff JBusch PWendt Jvon Stryk ODavid K(2024)Physiological data for affective computing in HRI with anthropomorphic service robots: the AFFECT-HRI data setScientific Data10.1038/s41597-024-03128-z11:1Online publication date: 4-Apr-2024
https://doi.org/10.1038/s41597-024-03128-z
Khare SBlanes-Vidal VNadimi EAcharya U(2024)Emotion recognition and artificial intelligenceInformation Fusion10.1016/j.inffus.2023.102019102:COnline publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1016/j.inffus.2023.102019
Huo FWang TFang FSun C(2024)The influence of tactile feedback in In-vehicle central control interfaces on driver emotions: A comparative study of touchscreens and physical buttonsInternational Journal of Industrial Ergonomics10.1016/j.ergon.2024.103586101(103586)Online publication date: May-2024
https://doi.org/10.1016/j.ergon.2024.103586
Liu PWang YHu JQing LZhao K(2023)Development and validation of a highly dynamic and reusable picture-based scale: A new affective measurement toolFrontiers in Psychology10.3389/fpsyg.2022.107869113Online publication date: 17-Jan-2023
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Torkamaan H(2023)Mood Measurement on SmartphonesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35808647:1(1-35)Online publication date: 28-Mar-2023
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