| Sensing behavioral change over time: Using within-person variability features from mobile sensing to predict personality traits W Wang, GM Harari, R Wang, SR Müller, S Mirjafari, K Masaba, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 127 | 2018 |
| The Tesserae Project: Large-Scale, Longitudinal, In Situ, Multimodal Sensing of Information Workers SM Mattingly, JM Gregg, P Audia, AE Bayraktaroglu, AT Campbell, ... Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing …, 2019 | 117* | 2019 |
| Differentiating higher and lower job performers in the workplace using mobile sensing S Mirjafari, K Masaba, T Grover, W Wang, P Audia, AT Campbell, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019 | 96* | 2019 |
| A multisensor person-centered approach to understand the role of daily activities in job performance with organizational personas V Das Swain, K Saha, H Rajvanshy, A Sirigiri, JM Gregg, S Lin, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019 | 59 | 2019 |
| Social sensing: assessing social functioning of patients living with schizophrenia using mobile phone sensing W Wang, S Mirjafari, G Harari, D Ben-Zeev, R Brian, T Choudhury, ... Proceedings of the 2020 CHI conference on human factors in computing systems …, 2020 | 56 | 2020 |
| Jointly predicting job performance, personality, cognitive ability, affect, and well-being P Robles-Granda, S Lin, X Wu, GJ Martinez, SM Mattingly, E Moskal, ... IEEE Computational Intelligence Magazine 16 (2), 46-61, 2021 | 37 | 2021 |
| Predicting brain functional connectivity using mobile sensing M Obuchi, JF Huckins, W Wang, A Dasilva, C Rogers, E Murphy, ... Proceedings of the ACM on interactive, mobile, wearable and ubiquitous …, 2020 | 35* | 2020 |
| Imputing Missing Social Media Data Stream in Multisensor Studies of Human Behavior K Saha, MD Reddy, VD Swain, JM Gregg, T Grover, S Lin, GJ Martinez, ... linguistic analysis 19 (29), 43, 2019 | 33* | 2019 |
| Improved sleep detection through the fusion of phone agent and wearable data streams GJ Martinez, SM Mattingly, J Young, L Faust, AK Dey, AT Campbell, ... 2020 IEEE International Conference on Pervasive Computing and Communications …, 2020 | 25 | 2020 |
| Detecting job promotion in information workers using mobile sensing S Nepal, S Mirjafari, GJ Martinez, P Audia, A Striegel, AT Campbell Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 24 | 2020 |
| On the Quality of Real-world Wearable Data in a Longitudinal Study of Information Workers GJ Martinez, SM Mattingly, S Mirjafari, SK Nepal, AT Campbell, AK Dey, ... 2020 IEEE International Conference on Pervasive Computing and Communications …, 2020 | 20 | 2020 |
| Assessing the impact of commuting on workplace performance using mobile sensing S Nepal, GJ Martinez, S Mirjafari, S Mattingly, VD Swain, A Striegel, ... IEEE Pervasive Computing 20 (4), 52-60, 2021 | 16 | 2021 |
| A survey of passive sensing in the workplace S Nepal, GJ Martinez, A Pillai, K Saha, S Mirjafari, VD Swain, X Xu, ... arXiv preprint arXiv:2201.03074, 2022 | 14* | 2022 |
| Personalized imputation on wearable-sensory time series via knowledge transfer X Wu, S Mattingly, S Mirjafari, C Huang, NV Chawla Proceedings of the 29th ACM International Conference on Information …, 2020 | 14 | 2020 |
| VIMES: A wearable memory assistance system for automatic information retrieval C Bermejo, T Braud, J Yang, S Mirjafari, B Shi, Y Xiao, P Hui Proceedings of the 28th ACM International Conference on Multimedia, 3191-3200, 2020 | 13 | 2020 |
| MoodCapture: Depression Detection Using In-the-Wild Smartphone Images S Nepal, A Pillai, W Wang, T Griffin, AC Collins, M Heinz, D Lekkas, ... Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-18, 2024 | 7 | 2024 |
| Predicting Job Performance Using Mobile Sensing S Mirjafari, H Bagherinezhad, S Nepal, GJ Martinez, K Saha, M Obuchi, ... IEEE Pervasive Computing 20 (4), 43-51, 2021 | 5* | 2021 |
| Sensing personality to predict job performance S Lin, SM Mattingly, X Han, P Audia, A Campbell, V Das Swain, ... Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human …, 2019 | 2 | 2019 |
| Using Mobile Data and Deep Models to Assess Auditory Verbal Hallucinations S Mirjafari, S Nepal, W Wang, AT Campbell arXiv preprint arXiv:2304.11049, 2023 | 1 | 2023 |
Andrew CampbellAlfred Bradley 1915 Third Century Professor, Computer Science, Dartmouth CollegeVerified email at dartmouth.edu
