(*) Indicates equal contributions. For an updated list, visit Google Scholar page.


  • Yang, C-H., Maher, J. P., Ponnada, A., Dzubur, E., Nordgren R., Intille, S. S., Hedeker, D., & Dunton, G. F. An empirical example of analysis using a two-stage modeling approach: Within-subject association of outdoor context and physical activity predicts future daily physical activity levels. Translational Behavioral Medicine. (In press).
  • Dzubur, E.*, Ponnada, A.*, Nordgren, R.*, Yang, C-H., Intille, S. S., Dunton, G. F., & Hedeker, D., (2020). MixWILD: A program for examining the effects of variance and slope of time-varying variables in intensive longitudinal data. Behavior Research Methods, DOI: 10.3758/s13428-019-01322-1.


  • Aditya Ponnada*, Seth Cooper*, Binod Thapa-Chhetry, Josh Aaron Miller, Dinesh John, and Stephen Intille. 2019. Designing Videogames to Crowdsource Accelerometer Data Annotation for Activity Recognition Research. In Proceedings of the Annual Symposium on Computer-Human Interaction in Play (CHI PLAY ’19). ACM, New York, NY, USA, 135-147. DOI:


  • Farnaz Irannejad Bisafar, Aditya Ponnada, Ameneh Shamekhi, and Andrea Parker. 2017. A Sociotechnical Study of a Community-based Rewards Program: Insights on Building Social, Financial, and Human Capital. PACM Human-Computer Interaction 1, 1: Computer Supported Cooperative Work and Social Computing.
  • Aditya Ponnada, Caitlin Haynes, Dharam Maniar, Justin Manjourides, and Stephen Intille. 2017. Microinteraction ecological momentary assessment response rates: Effect of microinteractions or the smartwatch? PACM Interact. Mob. Wearable Ubiquitous Technol. 1, 3, DOI: 10.11.45.


  • Intille, S., Haynes, C., Maniar, D., Ponnada, A., Manjourides, J. (2016, September) μEMA: Microinteraction-based Ecological Momentary Assessment (EMA) Using a Smartwatch. In Proceedings of the 2016 ACM Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016). 
  • Ghosh, S., Seshagiri, S., & Ponnada, A. (2016, May). Exploring Regional User Experience for Designing Ultra Low-Cost Smartphones. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (pp. 768-776). ACM.


  • Seshagiri, S., & Ponnada, A. (2015). Exploring Smart-Car Space in Urban India. In Cross-Cultural Design Applications in Mobile Interaction, Education, Health, Transport and Cultural Heritage (pp. 161-173). Springer International Publishing.


  • Verberne, F. M., Ham, J., Ponnada, A., & Midden, C. J. (2013). Trusting digital chameleons: The effect of mimicry by a virtual social agent on user trust. In Persuasive Technology (pp. 234-245). Springer Berlin Heidelberg. [Best Paper Award at PERSUASIVE 2013]


  • Ponnada, A.*, Ketan, K. V.*, & Yammiyavar, P. (2012, December). A Persuasive game for the social development of children in Indian cultural context—A Human-Computer Interaction design approach. In Intelligent Human-Computer Interaction (IHCI), 2012 4th International Conference on(pp. 1-6). IEEE.
  • Ponnada, A., & Kannan, A. (2012, August). Evaluation of mobile games using playability heuristics. In Proceedings of the International Conference on Advances in Computing, Communications and Informatics(pp. 244-247). ACM.

Abstracts and posters

  • Dunton, G. F., Wang, S. D., Ponnada, A., Campo, R., Chow, S. M., & Intille, S. (2020, May). Innovative Ecological Momentary Assessment Strategies to Capture Micro-Temporal Processes Underlying Long-term Changes in physical Activity, Sedentary Behavior, and Sleep. In Annals of Behavioral Medicine (Vol. 54, pp. S146-S146). Journals Dept, 2001 EVANS RD, CARY, NC 27513 USA: OXFORD UNIV PRESS INC.
  • Wang, S. D., Intille, S. S., Ponnada, A., & Dunton, G. F. (2020, May). Engagement in the Temporal Influences in Movement and Exercise (TIME) Study Pilot. In Annals of Behavioral Medicine (Vol. 54, pp. S337-S337). JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA: OXFORD UNIV PRESS INC.
  • Maciej Kos, Aditya Ponnada, Misha Pavel, Stephen Intille (2019, March), Evidence That Microinteraction Ecological Momentary Assessment (μEMA) is a Non-Reactive In-Situ Affect Assessment Method. In 2019 Society for Affective Science Conference.