Gamification of Mobile Experience Sampling Improves Data Quality and Quantity

From game design elements to gamefulness: defining "gamification"

Deterding, S., Dixon, D., Khaled, R., & Nacke, L. (2011) · Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments · doi:10.1145/2181037.2181040 · Cited by 8,402 · see citing works

Does Gamification Work? -- A Literature Review of Empirical Studies on Gamification

Hamari, J., Koivisto, J., & Sarsa, H. (2014) · 2014 47th Hawaii International Conference on System Sciences · doi:10.1109/hicss.2014.377 · Cited by 5,201 · see citing works

Ecological Momentary Assessment (Ema) in Behavioral Medicine

Stone, A. A., & Shiffman, S. (1994) · Annals of Behavioral Medicine · doi:10.1093/abm/16.3.199 · Cited by 1,931 · see citing works

Flow and the Foundations of Positive Psychology: The Collected Works of Mihaly Csikszentmihalyi

Csikszentmihalyi, M. (2014) · doi:10.1007/978-94-017-9088-8 · Cited by 1,653 · see citing works

Knowledge hiding in organizations

Connelly, C. E., Zweig, D., Webster, J., & Trougakos, J. P. (2011) · Journal of Organizational Behavior · doi:10.1002/job.737 · Cited by 1,581 · see citing works

Experience Sampling Method: Measuring the Quality of Everyday Life

Hektner, J. M., Schmidt, J. A., & Csíkszentmihályi, M. (2006) · Cited by 1,255 · see citing works

Experience Sampling Method

Hektner, J., Schmidt, J., & Csikszentmihalyi, M. (2007) · doi:10.4135/9781412984201 · Cited by 1,174 · see citing works

Designing games with a purpose

von Ahn, L., & Dabbish, L. (2008) · Communications of the ACM · doi:10.1145/1378704.1378719 · Cited by 1,156 · see citing works

The Experience Sampling Method

Larson, R. W., & Csíkszentmihályi, M. (2014) · Springer eBooks · doi:10.1007/978-94-017-9088-8_2 · Cited by 1,047 · see citing works

Experience Sampling: Promises and Pitfalls, Strengths and Weaknesses

Scollon, C. N., Kim‐Prieto, C., & Diener, E. (2003) · Journal of Happiness Studies · doi:10.1023/a:1023605205115 · Cited by 827 · see citing works

The ecology of adolescent activity and experience

Csikszentmihalyi, M., Larson, R., & Prescott, S. (1977) · Journal of Youth and Adolescence · doi:10.1007/bf02138940 · Cited by 781 · see citing works

Estimating the Effect of Incentives on Mail Survey Response Rates: A Meta-Analysis

Church, A. H. (1993) · Public Opinion Quarterly · doi:10.1086/269355 · Cited by 705 · see citing works

Building Successful Online Communities: Evidence-Based Social Design

Kraut, R. E., Resnick, P., Kiesler, S. B., Ren, Y., Chen, Y., Burke, M., Kittur, N., Riedl, J., & Konstan, J. A. (2012) · Cited by 636 · see citing works

Gamification: What It Is and Why It Matters to Digital Health Behavior Change Developers

Cugelman, B. (2013) · JMIR Serious Games · doi:10.2196/games.3139 · Cited by 531 · cited 1× · see citing works

More than fun and money. Worker motivation in crowdsourcing - a study on mechanical turk

Kaufmann, N., Schulze, T., & Veit, D. J. (2011) · MADOC (University of Mannheim) · Cited by 469 · see citing works

Using the experience sampling method to evaluate ubicomp applications

Consolvo, S., & Walker, M. (2003) · IEEE Pervasive Computing · doi:10.1109/mprv.2003.1203750 · Cited by 368 · see citing works

Enhancing the Motivational Affordance of Information Systems: The Effects of Real-Time Performance Feedback and Goal Setting in Group Collaboration Environments

Jung, J. H., Schneider, C., & Valacich, J. S. (2010) · Management Science · doi:10.1287/mnsc.1090.1129 · Cited by 332 · see citing works

Building Successful Online Communities: Evidence-Based Social Design

Kraut, R. E., Resnick, P., Kiesler, S., Burke, M., Chen, Y., Kittur, N., Konstan, J., Ren, Y., & Riedl, J. (2012) · doi:10.7551/mitpress/8472.001.0001 · Cited by 327 · see citing works

A Practical Guide to Experience-Sampling Procedures

Conner, T. S., Barrett, L. F., Bliss‐Moreau, E., Lebo, K., & Kaschub, C. (2003) · Journal of Happiness Studies · doi:10.1023/a:1023609306024 · Cited by 318 · see citing works

The sampling of experiences in situ

Hormuth, S. E. (1986) · Journal of Personality · doi:10.1111/j.1467-6494.1986.tb00395.x · Cited by 294 · see citing works

Measuring Daily Events and Experiences: Decisions for the Researcher

Stone, A. A., Kessler, R. C., & Haythomthwatte, J. A. (1991) · Journal of Personality · doi:10.1111/j.1467-6494.1991.tb00260.x · Cited by 278 · see citing works

Results from deploying a participation incentive mechanism within the enterprise

Farzan, R., DiMicco, J. M., Millen, D. R., Dugan, C., Geyer, W., & Brownholtz, E. A. (2008) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1357054.1357145 · Cited by 258 · see citing works

Voice-mail diary studies for naturalistic data capture under mobile conditions

Palen, L. A., & Salzman, M. (2002) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/587078.587092 · Cited by 255 · see citing works

Gamification in Crowdsourcing: A Review

Morschheuser, B., Hamari, J., & Koivisto, J. (2016) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2016.543 · Cited by 219 · see citing works

Investigating episodes of mobile phone activity as indicators of opportune moments to deliver notifications

Fischer, J. E., Greenhalgh, C., & Benford, S. (2011) · International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) · doi:10.1145/2037373.2037402 · Cited by 189 · see citing works

Drawing on Education: Using Student Drawings To Promote Middle School Improvement.

Haney, W., Russell, M., Gulek, C., & Fierros, E. (1998) · Schools in the middle · Cited by 166 · see citing works

The FIT Game: preliminary evaluation of a gamification approach to increasing fruit and vegetable consumption in school

Jones, B. A., Madden, G. J., & Wengreen, H. J. (2014) · Preventive Medicine · doi:10.1016/j.ypmed.2014.04.015 · Cited by 155 · see citing works

Orientation Passport

Fitz-Walter, Z., Tjondronegoro, D., & Wyeth, P. A. (2011) · Australian Computer-Human Interaction Conference (OzCHI) · doi:10.1145/2071536.2071554 · Cited by 153 · see citing works

Performance and User Experience of Touchscreen and Gesture Keyboards in a Lab Setting and in the Wild

Reyal, S., Zhai, S., & Kristensson, P. O. (2015) · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems · doi:10.1145/2702123.2702597 · Cited by 135 · cited 2× · see citing works

MoviPill

de Oliveira, R. C., Cherubini, M., & Oliver, N. (2010) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/1864349.1864371 · Cited by 114 · see citing works

AndWellness

Hicks, J., Ramanathan, N., Kim, D., Monibi, M., Selsky, J., Hansen, M. H., & Estrin, D. L. (2010) · Wireless Health · doi:10.1145/1921081.1921087 · Cited by 106 · see citing works

Effects of gamification on participation and data quality in a real-world market research domain

Cechanowicz, J., Gutwin, C., Brownell, B., & Goodfellow, L. (2013) · Proceedings of the First International Conference on Gameful Design, Research, and Applications · doi:10.1145/2583008.2583016 · Cited by 103 · see citing works

Exploring micro-incentive strategies for participant compensation in high-burden studies

Musthag, M., Raij, A. B., Ganesan, D., Kumar, S., & Shiffman, S. S. (2011) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/2030112.2030170 · Cited by 103 · see citing works

Beyond designing for motivation

Richards, C., Thompson, C. W., & Graham, N. (2014) · Annual Symposium on Computer-Human Interaction in Play · doi:10.1145/2658537.2658683 · Cited by 99 · see citing works

Gamification-based incentive mechanism for participatory sensing

Ueyama, Y., Tamai, M., Arakawa, Y., & Yasumoto, K. (2014) · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) · doi:10.1109/percomw.2014.6815172 · Cited by 82 · see citing works

Using visualizations to increase compliance in experience sampling

Hsieh, G., Li, I., Dey, A. K., Forlizzi, J., & Hudson, S. E. (2008) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/1409635.1409657 · Cited by 75 · see citing works

A Systematic Assessment of Smartphone Usage Gaps

van Berkel, N., Luo, C., Anagnostopoulos, T., Ferreira, D., Gonçalves, J., Hosio, S. J., & Kostakos, V. (2016) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858348 · Cited by 70 · see citing works

Situated crowdsourcing using a market model

Hosio, S. J., Gonçalves, J., Lehdonvirta, V., Ferreira, D., & Kostakos, V. (2014) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/2642918.2647362 · Cited by 63 · see citing works

Game of words

Gonçalves, J., Hosio, S. J., Ferreira, D., & Kostakos, V. (2014) · Designing Interactive Systems Conference · doi:10.1145/2598510.2598514 · Cited by 63 · see citing works

Increasing children's lunchtime consumption of fruit and vegetables: an evaluation of the Food Dudes programme

Upton, D., Upton, P., & Taylor, C. (2012) · Public Health Nutrition · doi:10.1017/s1368980012004612 · Cited by 60 · see citing works

Motivating participation and improving quality of contribution in ubiquitous crowdsourcing

Gonçalves, J., Hosio, S. J., Rogstadius, J., Karapanos, E., & Kostakos, V. (2015) · Computer Networks · doi:10.1016/j.comnet.2015.07.002 · Cited by 59 · see citing works

Participation incentive mechanisms in peer-to-peer subscription systems

Lui, S. M., Lang, K. R., & Kwok, S. H. (2003) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2002.994529 · Cited by 50 · see citing works

The Impact of Incentives on Response Rates to Personal Interview Surveys: Role and Perceptions of Interviewers

Lynn, P. J. (2001) · International Journal for Quality in Health Care · doi:10.1093/ijpor/13.3.326 · Cited by 41 · see citing works

Ask, but don't interrupt

Mehrotra, A., Vermeulen, J., Pejović, V., & Musolesi, M. (2015) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/2800835.2804397 · Cited by 41 · see citing works

Citizen Motivation on the Go: The Role of Psychological Empowerment

Gonçalves, J., Kostakos, V., Karapanos, E., Barreto, M. L., Camacho, T., Tomasic, A., & Zimmerman, J. (2013) · Interacting with Computers · doi:10.1093/iwc/iwt035 · Cited by 40 · see citing works

Reconexp

Khan, V.-J., Markopoulos, P., Eggen, B. H., IJsselsteijn, W. A., & de Ruyter, B. (2008) · International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) · doi:10.1145/1409240.1409316 · Cited by 38 · see citing works

Predicting interruptibility for manual data collection: a cluster-based user model

Visuri, A., van Berkel, N., Luo, C., Goncalves, J., Ferreira, D., & Kostakos, V. (2017) · Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services · doi:10.1145/3098279.3098532 · Cited by 28 · see citing works

IncluCity

Gonçalves, J., Kostakos, V., Hosio, S. J., Karapanos, E., & Lyra, O. (2013) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/2513383.2517030 · Cited by 27 · see citing works

A field study comparing approaches to collecting annotated activity data in real-world settings

Chang, Y.-J., Paruthi, G., & Newman, M. (2015) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/2750858.2807524 · Cited by 26 · see citing works

Photographing information needs

Yue, Z., Litt, E., Cai, C. J., Stern, J., Baxter, K. K., Guan, Z., Sharma, N., & Zhang, G. (. (2014) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2556288.2557192 · Cited by 21 · see citing works

Multiple Intelligence, Learning Styles, Brain-Based Education: Where Do the Messages Overlap?.

Guild, P. B., & Chock-Eng, S. (1998) · Schools in the middle · Cited by 13 · see citing works

Crowdpinion: Motivating People to Share Their Momentary Opinion

Machnik, M. F., Riegler, M. A., & Sen, S. (2015) · Cited by 4 · see citing works

The Experience Sampling Method on Mobile Devices

van Berkel, N., Ferreira, D., & Kostakos, V. (2018) · ACM Computing Surveys · doi:10.1145/3123988 · Cited by 432 · see citing works

Annual Research Review: Ecological momentary assessment studies in child psychology and psychiatry

Russell, M. A., & Gajos, J. M. (2020) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13204 · Cited by 236 · see citing works

The Design of Ecological Momentary Assessment Technologies

Doherty, K., Balaskas, A., & Doherty, G. J. (2020) · Interacting with Computers · doi:10.1093/iwcomp/iwaa019 · Cited by 187 · see citing works

The Impact of Gamification on Learning Outcomes of Computer Science Majors

Ahmad, A., Zeshan, F., Khan, M. S., Marriam, R., Ali, A., & Samreen, A. (2020) · ACM Transactions on Computing Education · doi:10.1145/3383456 · Cited by 124 · see citing works

Effect of experience sampling schedules on response rate and recall accuracy of objective self-reports

van Berkel, N., Gonçalves, J., Lovén, L., Ferreira, D., Hosio, S. J., & Kostakos, V. (2018) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2018.12.002 · Cited by 96 · see citing works

Universal ingredients to parenting teens: parental warmth and autonomy support promote adolescent well-being in most families

Bülow, A., Neubauer, A. B., Soenens, B., Boele, S., Denissen, J. J. A., & Keijsers, L. (2022) · Scientific Reports · doi:10.1038/s41598-022-21071-0 · Cited by 84 · see citing works

Overcoming compliance bias in self-report studies: A cross-study analysis

van Berkel, N., Gonçalves, J., Hosio, S. J., Sarsenbayeva, Z., Velloso, E., & Kostakos, V. (2019) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2019.10.003 · Cited by 69 · see citing works

Engagement with Mental Health Screening on Mobile Devices

Doherty, K., Belisario, J. S. M., Cohn, M., Mastellos, N., Morrison, C. P., Car, J., & Doherty, G. J. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300416 · Cited by 54 · see citing works

Toward Increasing Engagement in Substance Use Data Collection: Development of the Substance Abuse Research Assistant App and Protocol for a Microrandomized Trial Using Adolescents and Emerging Adults

Rabbi, M., Philyaw-Kotov, M. L., Cunningham, R. M., Bonar, E. E., Nahum-Shani, I. B., Klasnja, P., Walton, M. A., & Murphy, S. A. (2018) · JMIR Research Protocols · doi:10.2196/resprot.9850 · Cited by 45 · see citing works

Engaging Adolescents in Contemporary Longitudinal Health Research: Strategies for Promoting Participation and Retention

Murray, A. L., & Xie, T. (2023) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2023.06.032 · Cited by 42 · see citing works

Learning-Assisted Optimization in Mobile Crowd Sensing: A Survey

Wang, J., Wang, Y., Zhang, D., Gonçalves, J., Ferreira, D., Visuri, A., & Ma, S. (2018) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2868703 · Cited by 41 · see citing works

Contact Logger: Measuring everyday intergroup contact experiences in near-time

Keil, T. F., Koschate, M., & Levine, M. (2020) · Behavior Research Methods · doi:10.3758/s13428-019-01335-w · Cited by 36 · see citing works

A Smartphone Serious Game for Adolescents (Grow It! App): Development, Feasibility, and Acceptance Study

Dietvorst, E., Aukes, M. A., Legerstee, J. S., Vreeker, A., Hrehovcsik, M. M., Keijsers, L., & Hillegers, M. H. J. (2022) · JMIR Formative Research · doi:10.2196/29832 · Cited by 35 · see citing works

Mitigating data quality challenges in ambulatory wrist-worn wearable monitoring through analytical and practical approaches

Donckt, J. V. D., Vandenbussche, N., Donckt, J. V. D., Chen, S., Stojchevska, M., Brouwer, M. D., Steenwinckel, B., Paemeleire, K., Ongenae, F., & Hoecke, S. V. (2024) · Scientific Reports · doi:10.1038/s41598-024-67767-3 · Cited by 35 · see citing works

Recommendations for Conducting Longitudinal Experience Sampling Studies

van Berkel, N., & Kostakos, V. (2021) · Human-computer interaction series · doi:10.1007/978-3-030-67322-2_4 · Cited by 35 · see citing works

Context-Informed Scheduling and Analysis

van Berkel, N., Gonçalves, J., Koval, P., Hosio, S. J., Dingler, T., Ferreira, D., & Kostakos, V. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300281 · Cited by 34 · see citing works

Compliance Trends in a 14-Week Ecological Momentary Assessment Study of Undergraduate Alcohol Drinkers

Howard, A. L., & Lamb, M. (2023) · Assessment · doi:10.1177/10731911231159937 · Cited by 32 · see citing works

Deep Learning Based-Recommendation System

Ong, K., Haw, S.-C., & Ng, K.-W. (2019) · International Conference on Computational Intelligence and Intelligent Systems (CIIS) · doi:10.1145/3372422.3372444 · Cited by 32 · see citing works

Modeling interaction as a complex system

van Berkel, N., Dennis, S. J., Zyphur, M. J., Li, J., Heathcote, A., & Kostakos, V. (2020) · Human-Computer Interaction · doi:10.1080/07370024.2020.1715221 · Cited by 31 · see citing works

Gamified Participatory Sensing in Tourism: An Experimental Study of the Effects on Tourist Behavior and Satisfaction

Kawanaka, S., Matsuda, Y., Suwa, H., Fujimoto, M., Arakawa, Y., & Yasumoto, K. (2020) · Smart Cities · doi:10.3390/smartcities3030037 · Cited by 29 · see citing works

Use of passive sensing to quantify adolescent mobile device usage: Feasibility, acceptability, and preliminary validation of the eMoodie application

Domoff, S. E., Banga, C. A., Borgen, A. L., Foley, R. P., Robinson, C. A., Avery, K., & Gentile, D. A. (2021) · Human Behavior and Emerging Technologies · doi:10.1002/hbe2.247 · Cited by 26 · see citing works

Evaluating the Effects of Introducing Three Gamification Elements in STEM Educational Software for Secondary Schools

Andrade, P., Law, E. L., Farah, J. C., & Gillet, D. (2020) · Australian Conference on Human-Computer Interaction (OzCHI) · doi:10.1145/3441000.3441073 · Cited by 25 · see citing works

ReVibe

Rabbi, M., Li, K. T., Yan, H. Y., Dahl, K. L., Klasnja, P., & Murphy, S. A. (2019) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3369806 · Cited by 22 · see citing works

Practitioner perspectives on the use of the experience sampling software in counseling and clinical psychology

Weermeijer, J. D. M., Kiekens, G., Wampers, M., Kuppens, P., & Myin‐Germeys, I. (2023) · Behaviour and Information Technology · doi:10.1080/0144929x.2023.2178235 · Cited by 22 · see citing works

Labelling Affective States "in the Wild"

Schmidt, P., Reiss, A., Dürichen, R., & Laerhoven, K. V. (2018) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/3267305.3267551 · Cited by 22 · see citing works

Human accuracy in mobile data collection

van Berkel, N., Gonçalves, J., Wac, K., Hosio, S. J., & Cox, A. L. (2020) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2020.102396 · Cited by 21 · see citing works

Engaging Participants during Selection Studies in Virtual Reality

Yu, D., Zhou, Q., Tag, B., Dingler, T., Velloso, E., & Gonçalves, J. (2020) · IEEE Conference on Virtual Reality and 3D User Interfaces (VR) · doi:10.1109/vr46266.2020.1581291122479 · Cited by 19 · see citing works

Locating place, crime and the fear of crime

Kronkvist, K. (2022) · doi:10.24834/isbn.9789178773022 · Cited by 19 · see citing works

End-User Development of Experience Sampling Smartphone Apps -Recommendations and Requirements

Rough, D. J., & Quigley, A. J. (2020) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3397307 · Cited by 16 · see citing works

CrowdAct

Mairittha, N., Mairittha, T., Lago, P., & Inoue, S. (2021) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3432222 · Cited by 15 · see citing works

Technology-assisted reconstruction: a new alternative to the experience sampling method

Karapanos, E. (2019) · Behaviour and Information Technology · doi:10.1080/0144929x.2019.1608303 · Cited by 14 · see citing works

Researching the Links Between Smartphone Behavior and Adolescent Well-being With the FUTURE-WP4 (Modeling the Future: Understanding the Impact of Technology on Adolescent’s Well-being Work Package 4) Project: Protocol for an Ecological Momentary Assessment Study

Elavsky, S., Blahošová, J., Lebedíková, M. Š., Tkaczyk, M., Tancoš, M., Plhák, J., Sotolář, O., & Šmahel, D. (2022) · JMIR Research Protocols · doi:10.2196/35984 · Cited by 14 · see citing works

Real-time incentivizing survey completion with game-based rewards in experience sampling research may increase data quantity, but reduces data quality

Dejonckheere, E., Verdonck, S., Andries, J. I., Röhrig, N., Piot, M., kilani, G., & Mestdagh, M. (2024) · Computers in Human Behavior · doi:10.1016/j.chb.2024.108360 · Cited by 14 · see citing works

Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge

Xu, C., Zhou, W., Ge, T., Xu, K., McAuley, J., & Wei, F. (2021) · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · doi:10.18653/v1/2021.naacl-main.172 · Cited by 14 · see citing works

Real-time personalized feedback in mHealth for adolescents

Dietvorst, E., Hillegers, M. H. J., Legerstee, J. S., de Vries, L. P., Vreeker, A., & Keijsers, L. (2024) · Digital Health · doi:10.1177/20552076241247937 · Cited by 13 · see citing works

From Burden to Enjoyment: A User‐Centered Approach to Engage Adolescents in Intensive Longitudinal Research

Bülow, A., Janssen, L. H. C., Dietvorst, E., de Vaate, N. A. J. D. B., Hillegers, M. H. J., Valkenburg, P. M., & Keijsers, L. (2025) · Journal of Adolescence · doi:10.1002/jad.12478 · Cited by 13 · see citing works

Complementing Human Behavior Assessment by Leveraging Personal Ubiquitous Devices and Social Links: An Evaluation of the Peer-Ceived Momentary Assessment Method

Berrocal, A., Concepcion, W., Dominicis, S. D., & Wac, K. (2020) · JMIR mhealth and uhealth · doi:10.2196/15947 · Cited by 13 · see citing works

Tangible Self-Report Devices: Accuracy and Resolution of Participant Input

van Berkel, N., Merritt, T. R., Bruun, A., & Skov, M. B. (2022) · International Conference on Tangible, Embedded, and Embodied Interaction (TEI) · doi:10.1145/3490149.3501309 · Cited by 13 · see citing works

Pro-social behaviour in crowdsourcing systems: Experiences from a field deployment for beach monitoring

Komninos, A. (2018) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2018.12.001 · Cited by 13 · see citing works

Do Hexad User Types Matter? Effects of (Non-) Personalized Gamification on Task Performance and User Experience in an Image Tagging Task

Altmeyer, M., Zenuni, B., Spelt, H., Jegen, T., Lessel, P., & Krüger, A. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3549491 · Cited by 12 · see citing works

The Quality Control in Crowdsensing Based on Twice Consensuses of Blockchain

Liang, D., An, J., Cheng, J., He, Y., & Gui, R. (2018) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/3267305.3267547 · Cited by 12 · see citing works

Towards Improving Emotion Self-report Collection using Self-reflection

Ghosh, S., Mitra, B., & De, P. (2020) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3334480.3383019 · Cited by 11 · see citing works

Improving Accuracy in Mobile Human Contributions

van Berkel, N., Budde, M., Wijenayake, S., & Gonçalves, J. (2018) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/3267305.3267541 · Cited by 11 · see citing works

The Experience Sampling Method in the Research on Achievement-Related Emotions and Motivation

Moeller, J., Dietrich, J., & Baars, J. (2023) · Routledge eBooks · doi:10.4324/9781003303473-14 · Cited by 8 · see citing works

Intelligent technologies and applications in Smart Tourism—A systematic review

Si-Tou, C. F. (2024) · Smart Tourism · doi:10.54517/st.v5i1.2643 · Cited by 8 · see citing works

Optimizing activity data collection with gamification points using uncertainty based active learning

Mairittha, N., Mairittha, T., & Inoue, S. (2019) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/3341162.3345585 · Cited by 8 · see citing works

Gamification strategies to improve the motivation and performance in accessibility information collection

Miyata, A., Murayama, Y., Furuta, A., Okugawa, K., Ochiai, K., & Murayama, Y. (2022) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3491101.3519783 · Cited by 8 · see citing works

Intra-Company Crowdsensing: Datafication with Human-in-the-Loop

Domaszewicz, J., & Parzych, D. (2022) · Sensors · doi:10.3390/s22030943 · Cited by 7 · see citing works

Translating Behavioral Theory into Technological Interventions: Case Study of an mHealth App to Increase Self-reporting of Substance-Use Related DataPreprint

Rabbi, M., Philyaw-Kotov, M. L., Li, J., Li, K. T., Rothman, B., Giragosian, L., Reyes, M., Gadway, H., Cunningham, R. M., Bonar, E. E., et al. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2003.13545 · Cited by 7 · see citing works

Longitudinal User Engagement with Microinteraction Ecological Momentary Assessment (μEMA)

Ponnada, A., Wang, S. D., Li, J., Wang, W., Dunton, G. F., Hedeker, D., & Intille, S. S. (2025) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3749541 · Cited by 6 · see citing works

Ubiquitous Machinery Monitoring - A Field Study on Manufacturing Workers' User Experience of Mobile and Wearable Monitoring Apps

Muller, S. C., Baldauf, M., & Seeliger, A. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3546733 · Cited by 6 · see citing works

Crowdsourcing

Budde, M. (2021) · Springer handbooks · doi:10.1007/978-3-030-52171-4_44 · Cited by 6 · see citing works

Trading Accuracy for Enjoyment? Data Quality and Player Experience in Data Collection Games

Gundry, D., & Deterding, S. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3502025 · Cited by 6 · see citing works

DataSentry: Building Missing Data Management System for In-the-Wild Mobile Sensor Data Collection through Multi-Year Iterative Design Approach

Jung, Y., Law, H. Y., Lee, H. S., Lee, J., Lee, B., & Lee, U. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713314 · Cited by 5 · see citing works

Gamification and MOOCs

Osuna-Acedo, S. (2021) · Springer eBooks · doi:10.1007/978-3-030-67314-7_6 · Cited by 5 · see citing works

Cognitive state detection with eye tracking in the field: an experience sampling study and its lessons learned

Langner, M., Toreini, P., & Maedche, A. (2024) · i-com · doi:10.1515/icom-2023-0035 · Cited by 5 · see citing works

Ecological Momentary Assessment Tools: Lessons Learned from an HCI Perspective

Crovari, P., Catania, F., Spitale, M., & Garzotto, F. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-49059-1_28 · Cited by 4 · see citing works

Case Study: In-the-Field Accessibility Information Collection Using Gamification

Miyata, A., Okugawa, K., Murayama, Y., Furuta, A., Ochiai, K., & Murayama, Y. (2023) · International Web for All Conference (W4A) · doi:10.1145/3587281.3587288 · Cited by 4 · see citing works

Thinking Outside the Lab: VR Size & Depth Perception in the WildPreprint

Arora, R., Li, J., Shi, G., & Singh, K. S. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2105.00584 · Cited by 4 · see citing works

Feasibility of Using a Multi-Agent LLM System to Correct Annotations and Support Low-Effort Activity Labeling

Le, H., Choube, A., Mishra, V., & Intille, S. S. (2026) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3831653 · Cited by 3 · see citing works

Are We Healthier Together? Two Strategies for Supporting Macronutrient Assessment Skills and How the Crowd Can Help (or Not)

Harmon, S., Heitkemper, E., Mamykina, L., & Hwang, M. L. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3555593 · Cited by 3 · see citing works

Incorporating Uncertainty in Predictive Models Using Mobile Sensing and Clinical Data: A Case Study on Persistent Post-surgical Pain

Xu, Z., Zhang, J., Haroutounian, S., Liu, H., Cao, Z., Messner, G. R., Alaverdyan, H., Ahuja, S., Koshy, R., Hanns, J., et al. (2025) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3729488 · Cited by 3 · see citing works

2VT: Visions, Technologies, and Visions of Technologies for Understanding Human Scale Spaces

Paananen, V., Markkanen, P. M. H., Oppenlaender, J., Lee, L., Akmal, H. A., Schieck, A. F. G., Dunham, J., Papangelis, K., LaLone, N. J., van Berkel, N., et al. (2021) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3411763.3441315 · Cited by 3 · see citing works

A solution for creating dynamic networks of symptoms in cognitive-behavioral functional analysis and therapy – participatory design protocol

Kornacka, M., Jaskulska, A., Skorupska, K., Szastok, M., Nadziejko, M., & Kopeć, W. (2023) · Mental Health and Social Inclusion · doi:10.1108/mhsi-01-2023-0015 · Cited by 3 · see citing works

CampusTracker

Oppenlaender, J., Asare, K. O., & Hosio, S. J. (2018) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/3267305.3267550 · Cited by 3 · see citing works

Generating Personalized Games with Sensing Data to Support Self-Reported Data Collection

Kim, J.-S., Le, H., Choube, A., Mishra, V., & Intille, S. S. (2026) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3830398.3830678 · Cited by 2 · see citing works

LBSLab

Gong, Q., He, X., Xie, Q., Lin, S., She, G., Fang, R., Han, R., Chen, Y., Xiao, Y., Fu, X., et al. (2018) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/3267305.3267546 · Cited by 2 · see citing works

Towards Estimating Missing Emotion Self-reports Leveraging User Similarity: A Multi-task Learning Approach

Ghosh, S., Mandi, S., Sen, S., Mitra, B., & De, P. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642833 · Cited by 2 · see citing works

Capturing contextual morality

van Berkel, N., Hosio, S. J., Tag, B., & Gonçalves, J. (2019) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/3341162.3344846 · Cited by 2 · see citing works

From Burden to Enjoyment: A User-Centered Approach to Engage Adolescents in Intensive Longitudinal ResearchPreprint

Bülow, A., Janssen, L. H. C., Dietvorst, E., de Vaate, N. A. J. D. B., Hillegers, M. H. J., Valkenburg, P. M., & Keijsers, L. (2024) · doi:10.31234/osf.io/rnuvz · Cited by 2 · see citing works

WOOL: A gamified, georeferenced mobile application for enhanced tourism exploration

Ladeira, E. F., & Silva, B. M. C. (2026) · Entertainment Computing · doi:10.1016/j.entcom.2026.101108 · Cited by 1 · see citing works

Persuasive Mobile NOW Interactions

Barendregt, R., & Wasson, B. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-05412-9_22 · Cited by 1 · see citing works

Simulating Participant Behavior in Experience Sampling Method Research

Khanshan, A., Gorp, P. M. E. V., & Markopoulos, P. (2023) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3544549.3585586 · Cited by 1 · see citing works

Instruments for Measuring Youth Digital Media Use

Mayen, S., Reinhardt, A., & Wilhelm, C. (2024) · MedienPädagogik Zeitschrift für Theorie und Praxis der Medienbildung · doi:10.21240/mpaed/60/2024.04.25.x · Cited by 1 · see citing works

Exploring the Challenges of Using Food Journaling Apps: A Case-study with Young Adults

Karnavat, T. L., Bhatia, J. S., Ghosh, S., & Sen, S. (2022) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-030-94822-1_4 · Cited by 1 · see citing works

Uncovering the Missing Pieces: Predictors of Nonresponse in a Mobile Experience Sampling Study on Media Effects Among Youth

Reinhardt, A., Mayen, S., & Wilhelm, C. (2024) · Social Science Computer Review · doi:10.1177/08944393241235182 · Cited by 1 · see citing works

SpaceMaze: incentivizing correct mobile crowdsourced sensing behaviour with a sensified minigame

Budde, M., Rohe, J. F., Hirschoff, L., Schlosser, P., Beigl, M., Holopainen, J. P., & Schankin, A. (2020) · Behaviour and Information Technology · doi:10.1080/0144929x.2020.1772878

Visualização de respostas a programas de intervenção administrados remotamente

Scalco, L. F. (2020) · doi:10.11606/d.55.2020.tde-29072020-115903

Monitoring everyday life in aging & dementia

Bartels, S. L. (2020) · doi:10.26481/dis.20200917sb

التفاعل بین نمطى التعزیز (فاصل زمنی / نسبی) بمحفزات الألعاب الرقمیة وطریقتى تقدیمهما (ثابت / متغیر) فی بیئة تعلم الکترونی وأثره على الاندماج فی التعلم وتنمیة الطمأنینة النفسیة ومهارات الاستخدام الآمن للإنترنت لدى تلامیذ الحلقة الابتدائیة

الرحمن, إ. ا. م. أ. ع. (2020) · تکنولوجيا التعليم سلسلة دراسات وبحوث · doi:10.21608/tesr.2020.160500

Inviting Participants’ Peers in a Mobile Assessment Study: An Empirical Investigation

Chang, Y., Lee, H.-P., Chang, Y.-J., & Shen, C.-Y. (2021) · International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) · doi:10.1145/3447526.3472021

Assessing the Influence of Physical Activity Upon the Experience Sampling Response Rate on Wrist-Worn Devices

Khanshan, A., Gorp, P. M. E. V., Nuijten, R., & Markopoulos, P. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182010593

Measuring subjective experiences using wearable microinteractions

Ponnada, A. (2021) · doi:10.17760/d20467309

Can real-time personalized feedback in mHealth improve app engagement, user experience, and well-being? (Preprint)Preprint

Dietvorst, E., Hillegers, M. H. J., Legerstee, J. S., Vreeker, A., & Keijsers, L. (2023) · doi:10.2196/preprints.47511

Transdiagnostic Emotional Disorder Assessment and Case Formulation in Health Conditions

Rosellini, A. J., Osma, J., Suso, C., & Brown, T. A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780197564295.003.0003

Binary Social Game: A Principle for Enhancing Desired Behaviors through Asynchronous Social Interactions

Song, S., Kim, H. Y., Kim, J., Kim, K. K., Cho, H., & Lim, D. Y. (2023) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/3594739.3610684

Research on brand stickiness of gamification marketing under the perspective of immersion theory: Network social capital as mediating variable and fear of missing out as moderating variable effect

Yu, H., & Chen, S.-T. (2025) · Edelweiss Applied Science and Technology · doi:10.55214/2576-8484.v9i8.9472

Contact Logger: Measuring Everyday Intergroup Contact Experiences in Near-TimePreprint

Koschate, M., Keil, T. F., & Levine, M. (2020) · OSF Preprints (OSF Preprints)

Spatial Experience for the Metaverse

Paananen, V., Oppenlaender, J., van Berkel, N., & Hosio, S. J. (2026) · Springer eBooks · doi:10.1007/978-3-032-03296-6_4

Binary Social Game: Real-World Evaluation of Motivating Group Exercise Through Gamified Social Dynamics

Song, S., Kim, H. Y., & Kim, K. K. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2618582

The Feasibility of Smartwatch Micro–Ecological Momentary Assessment for Tracking Eating Patterns of Malaysian Children and Adolescents in the South-East Asian Community Observatory Child Health Update 2020: Cross-Sectional Study

Lane, R., Millard, L. A. C., Salway, R., Brady, S. M., Skinner, A., Stone, C., Mariapun, J., Rajakumar, S., Ramadas, A., Rizal, H., et al. (2026) · Journal of Medical Internet Research · doi:10.2196/73435

Advising the ill-advised: Debiasing the conjunction fallacy through gamified training with outcome feedback

Wadenholt, G. Å., Wirebring, L. K., Stillesjö, S., & Andersson, L. (2026) · Acta Psychologica · doi:10.1016/j.actpsy.2026.106548

Designing gamification for complex crowdsourcing based on motivational affordance theory: A controlled field study of task familiarity and topical interest

Oh, J., Seong, E., Lee, J., Jeon, H., & Kim, S. (2026) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2026.103894

Psychotherapy in motion: opportunities and challenges of using experience sampling methods to assess the effectiveness of psychotherapy

Kornacka, M., Barnes, S., Skorupski, J., Skorupski, M. S., Jaskulska, A., Para, M., & Szastok, M. (2026) · Psychiatria i Psychologia Kliniczna · doi:10.15557/pipk.2026.0018

Real-time incentivizing survey completion with game-based rewards in experience sampling research may increase data quantity, but reduces data quality

Dejonckheere, E., Verdonck, S., Andries, J. I., Röhrig, N., Piot, M., kilani, G., & Mestdagh, M. (2024) · Computers in Human Behavior · doi:10.1016/j.chb.2024.108360 · Cited by 14 · see citing works

Investigating the Influence of Personalised Gamification on Mobile Survey User Experience

Carlier, S., Coppens, D., Backere, F. D., & Turck, F. D. (2021) · Sustainability · doi:10.3390/su131810434 · Cited by 13 · see citing works

Experience Sampling as Information Transmission

Buschek, D., Völkel, S. T., Stachl, C., Mecke, L., Prange, S., & Pfeuffer, K. (2018) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/3267305.3267543 · Cited by 9 · see citing works

Impact of Gamification on Subject Engagement and Data Quality in Health-care Surveys on Mobile Applications

Viana, R. M. F. D. S. T. (2022) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · doi:10.34626/mrp8-4264

Mobile-Based Experience Sampling for Behaviour Research

Pejović, V., Lathia, N., Cecilia Mascolo, C., & Musolesi, M. (2016) · Human-computer interaction series · doi:10.1007/978-3-319-31413-6_8 · Cited by 12 · see citing works