Our work in pervasive sensing enables novel ways to accelerate observational analysis by employing multi-modal pattern recognition capabilities to pre-segment and tag records, and thus increase analysis power by visualizing multimodal activity and macro-micro relationships. We are combining these approaches to highlight behavioral data through interactive data visualization aimed at uncovering hidden pattern and allow researchers to investigate new research questions.

In our research we are expanding our work on visualizing and analyzing multimodal activity dynamics with tools based on interactive web-based visualization that allow researcher to analyze a variety of different multi-dimensional data.

In general this research has the potential to enable exploration of critical new insights in terms of multi-dimensional data for public health and we are actively and continuously exploring those possibilities to provide researchers with innovative tools to analyze multimodal data and uncover hidden patterns.

Exploratory Data Analysis

We are employing cutting-edge visualization library to create effective tools to explore rich datasets in the healthcare domain. The goal is to enable data-driven approaches to generate insights into multidimensional data, and then drive specific questions and more traditional hypothesis-driven research.

  • ChronoViz
  • Avant-Garde
Funding

Molecular epidemiology for HIV prevention for drug users and other risk groups
(NIH/NIDA Avantgarde – September 2012 – August 2017)
A Multiscale Framework for Analyzing Activity Dynamics
(US NSF IIS-0729013, October 2009 – August 2011)
Flight Crew Performance Data Collection and Analysis Tool
(UCSD – Boeing Project Agreement 2011/2012, January 2011 – September 2012)

Publications

  • [PDF] E. Hutchins, N. Weibel, C. Emmenegger, and A. Fouse, “An Integrative Approach to Understanding Flight Crew Activity,” Journal of Cognitive Engineering and Decision Making, 2013.
    [Bibtex]
    @article{hutchins2013integrative,
     area = {data_analysis},
     author = {Hutchins, Ed and Weibel, Nadir and Emmenegger, Colleen and Fouse, Adam},
     interhash = {293f222d0df3744a8add239d968d5a5f},
     intrahash = {e0b6c628705008072bfb57c4b823069e},
     journal = {Journal of Cognitive Engineering and Decision Making},
     month = jul, projects = {chronoviz, boeing},
     title = {An {Integrative} {Approach} to {Understanding} {Flight} {Crew} {Activity}},
     year = 2013 
    }
  • [PDF] A. Fouse, N. Weibel, C. Johnson, and J. Hollan, “Reifying Social Movement Trajectories,” in Proceedings of CHI 2013, ACM Conference on Human Factors in Computing Systems, Paris, France, 2013, pp. 2945-2948.
    [Bibtex]
    @inproceedings{fouse2013reifying,
     address = {Paris, France},
     area = {data_analysis},
     author = {Fouse, Adam and Weibel, Nadir and Johnson, Christine and Hollan, James},
     booktitle = {Proceedings of {CHI} 2013, {ACM} {Conference} on {Human} {Factors} in {Computing} {Systems}},
     interhash = {42f99ddc9267a48e4ecf3ac4ddb3ee85},
     intrahash = {91dfb1b8be0586d3aac379ab6219d63a},
     month = may, pages = {2945--2948},
     projects = {chronoviz},
     title = {Reifying {Social} {Movement} {Trajectories}},
     year = 2013 
    }
  • [PDF] N. Weibel, A. Fouse, C. Emmenegger, S. Kimmich, and E. Hutchins, “Let’s look at the Cockpit: Exploring Mobile Eye-Tracking for Observational Research on the Flight Deck,” in Proc. ETRA 2012, ACM Symposium on Eye Tracking Research and Applications, Santa Barbara, CA, USA, 2012, pp. 107-114.
    [Bibtex]
    @inproceedings{weibel2012cockpit,
     address = {Santa Barbara, CA, USA},
     area = {data_analysis},
     author = {Weibel, Nadir and Fouse, Adam and Emmenegger, Colleen and Kimmich, Sara and Hutchins, Edwin},
     booktitle = {Proc. {ETRA} 2012, {ACM} {Symposium} on {Eye} {Tracking} {Research} and {Applications}},
     interhash = {0679a1ed228429987f76d083475262f3},
     intrahash = {3fd8564f29a24bdb243d795acae19998},
     month = mar, pages = {107--114},
     projects = {chronoviz, boeing},
     title = {Let's look at the {Cockpit}: {Exploring} {Mobile} {Eye}-{Tracking} for {Observational} {Research} on the {Flight} {Deck}},
     year = 2012 
    }
  • [PDF] [URL] N. Weibel, A. Fouse, C. Emmenegger, W. Friedman, E. Hutchins, and J. Hollan, “Digital pen and paper practices in observational research,” in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2012, pp. 1331-1340.
    [Bibtex]
    @inproceedings{weibel2012digital,
     area = {data_analysis},
     author = {Weibel, Nadir and Fouse, Adam and Emmenegger, Colleen and Friedman, Whitney and Hutchins, Edwin and Hollan, James},
     booktitle = {Proceedings of the {SIGCHI} {Conference} on {Human} {Factors} in {Computing} {Systems}},
     interhash = {963ff8947d07ed5e0c112506ed81e7f0},
     intrahash = {db330cde63bb0c1711e6aef946c9b88a},
     pages = {1331--1340},
     projects = {chronoviz, boeing},
     publisher = {ACM},
     title = {Digital pen and paper practices in observational research},
     url = {http://dl.acm.org/citation.cfm?id=2208590},
     urldate = {2016-08-22},
     year = 2012 
    }
  • [PDF] A. Fouse, N. Weibel, E. Hutchins, and J. D. Hollan, “ChronoViz: A System for Supporting Navigation of Time-coded Data,” in Extended Abstracts of CHI 2011, ACM Conference on Human Factors in Computing Systems, Vancouver, Canada, 2011, pp. 299-304.
    [Bibtex]
    @inproceedings{fouse2011chronoviz,
     address = {Vancouver, Canada},
     area = {data_analysis, pervasive_sensing},
     author = {Fouse, Adam and Weibel, Nadir and Hutchins, Edwin and Hollan, James D.},
     booktitle = {Extended {Abstracts} of {CHI} 2011, {ACM} {Conference} on {Human} {Factors} in {Computing} {Systems}},
     interhash = {abcde7539c9ff5d0de07bb07dfa637a2},
     intrahash = {69e79b23240d2ae52fe7548676a72cd8},
     month = may, pages = {299--304},
     projects = {chronoviz},
     title = {{ChronoViz}: {A} {System} for {Supporting} {Navigation} of {Time}-coded {Data}},
     year = 2011 
    }
  • [PDF] N. Weibel, A. Fouse, E. Hutchins, and J. D. Hollan, “Supporting an Integrated Paper-Digital Workflow for Observational Research,” in Proc. IUI 2011, International Conference on Intelligent User Interfaces, Palo Alto, CA, USA, 2011, pp. 257-266.
    [Bibtex]
    @inproceedings{weibel2011supporting,
     address = {Palo Alto, CA, USA},
     area = {data_analysis},
     author = {Weibel, Nadir and Fouse, Adam and Hutchins, Edwin and Hollan, James D.},
     booktitle = {Proc. {IUI} 2011, {International} {Conference} on {Intelligent} {User} {Interfaces}},
     interhash = {79d9e3736c92dafdb77fdc57a48d3254},
     intrahash = {5d30122099e7f8817d8a0865710a96d1},
     month = feb, pages = {257--266},
     projects = {paper-digital, chronoviz},
     title = {Supporting an {Integrated} {Paper}-{Digital} {Workflow} for {Observational} {Research}},
     year = 2011 
    }

Social Network Analysis and Visualization

Important behavioral dynamics are emerging from social media and understanding the network characteristics of the people involved is key to inform potential interventions. We are developing novel ways to understand network data, especially in the context of social media and health.

  • PIRC-Net
  • SMART
Funding

Characterizing the Relationship of METH Use and Neurocognitive Impairment in HIV At-risk Online Networks
(TMARC Pilot PST7TP2/2016,  Translational Methamphetamine AIDS Research Center, March 2016 – February 2018)

Publications

  • N. Weibel, P. Desai, L. Saul, A. Gupta, and S. Little, “HIV Risk on Twitter: the Ethical Dimension of Social Media Evidence-based Prevention for Vulnerable Populations,” in Proceedings of HICSS-50, Hawaii International Conference on System Sciences, Big Island, HI, USA, 2017.
    [Abstract] [Bibtex]

    As of 2016 the HIV/AIDS epidemics is still a key public health problem. Recent reports showed that alarmingly high numbers of people in vulnerable populations are not reached by preventative efforts. Despite technology improvement, we are not yet able to identify populations that are most susceptible to HIV infections. In order to enable evidence-based prevention, we are studying new methods to identify HIV at-risk populations exploiting Twitter posts as indicators of HIV risk. Our research on social network analysis and machine learning outlined the feasibility of using tweets as monitoring tool for HIV-related risk at the demographic, geographical, and social network level. However, this approach highlights ethical dilemmas in three different areas: data collection and analysis, risk inference through imperfect probabilistic approaches, and data-driven prevention. We contribute a description, analysis and discussion of ethics based on our 2-year experience with clinicians, IRBs, and local HIV communities in San Diego, California.

    @inproceedings{weibel2017twitter,
     abstract = {As of 2016 the HIV/AIDS epidemics is still a key public health problem. Recent reports showed that alarmingly high numbers of people in vulnerable populations are not reached by preventative efforts. Despite technology improvement, we are not yet able to identify populations that are most susceptible to HIV infections. In order to enable evidence-based prevention, we are studying new methods to identify HIV at-risk populations exploiting Twitter posts as indicators of HIV risk. Our research on social network analysis and machine learning outlined the feasibility of using tweets as monitoring tool for HIV-related risk at the demographic, geographical, and social network level. However, this approach highlights ethical dilemmas in three different areas: data collection and analysis, risk inference through imperfect probabilistic approaches, and data-driven prevention. We contribute a description, analysis and discussion of ethics based on our 2-year experience with clinicians, IRBs, and local HIV communities in San Diego, California.},
     address = {Big Island, HI, USA},
     area = {data_analysis, pervasive_sensing},
     author = {Weibel, Nadir and Desai, Purvi and Saul, Lawrence and Gupta, Amarnath and Little, Susan},
     booktitle = {Proceedings of {HICSS}-50, {Hawaii} {International} {Conference} on {System} {Sciences}},
     interhash = {186ce1d8dba35a1f1286736a41eab680},
     intrahash = {e1a470aa4f364b7ed5a3ffb7572f6741},
     month = jan, note = {In Press},
     projects = {pircnet, core},
     title = {{HIV} {Risk} on {Twitter}: the {Ethical} {Dimension} of {Social} {Media} {Evidence}-based {Prevention} for {Vulnerable} {Populations}},
     year = 2017 
    }
  • [PDF] N. Thangarajan, N. Green, A. Gupta, S. Little, and N. Weibel, “Analyzing Social Media to Characterize Local HIV At-risk Populations,” in Proceedings of Wireless Health 2015, International Conference on Wireless, Connected and Mobile Health Research, Bethesda, USA, 2015.
    [Bibtex]
    @inproceedings{thangarajan2015analyzing,
     address = {Bethesda, USA},
     area = {pervasive_sensing, data_analysis},
     author = {Thangarajan, Narendran and Green, Nella and Gupta, Amaranth and Little, Susan and Weibel, Nadir},
     booktitle = {Proceedings of {Wireless} {Health} 2015, {International} {Conference} on {Wireless},
     {Connected} and {Mobile} {Health} {Research}},
     interhash = {49f82be02b37218ba544b332fb29cba3},
     intrahash = {04a357ef6b8bfce179474bbc022881eb},
     month = oct, note = {In Press},
     projects = {pircnet},
     title = {Analyzing {Social} {Media} to {Characterize} {Local} {HIV} {At}-risk {Populations}},
     year = 2015 
    }
  • G. Merchant, N. Weibel, L. Pina, W. G. Griswold, J. H. Fowler, G. X. Ayala, L. C. Gallo, J. Hollan, and K. Patrick, “Face-to-Face and Online Networks: College Students’ Experiences in a Weight-Loss Trial,” Journal of Health Communication, pp. 1-9, 2017.
    [Abstract] [Bibtex]

    This study aimed to understand how college students participating in a 2-year randomized controlled trial (Project SMART: Social and Mobile Approach to Reduce Weight; N = 404) engaged their social networks and used social and mobile technologies to try and lose weight. Participants in the present study (n = 20 treatment, n = 18 control) were approached after a measurement visit and administered semi-structured interviews. Interviews were analyzed using principles from grounded theory. Treatment group participants appreciated the timely support provided by the study and the integration of content across multiple technologies. Participants in both groups reported using non-study-designed apps to help them lose weight, and many participants knew one another outside of the study. Individuals talked about weight-loss goals with their friends face to face and felt accountable to follow through with their intentions. Although seeing others’ success online motivated many, there was a range of perceived acceptability in talking about personal health-related information on social media. The findings from this qualitative study can inform intervention trials using social and mobile technologies to promote weight loss. For example, weight-loss trials should measure participants’ use of direct-to-consumer technologies and interconnectivity so that treatment effects can be isolated and cross-contamination accounted for.

    @article{merchant2017face,
     abstract = {This study aimed to understand how college students participating in a 2-year randomized controlled trial (Project SMART: Social and Mobile Approach to Reduce Weight; N = 404) engaged their social networks and used social and mobile technologies to try and lose weight. Participants in the present study (n = 20 treatment, n = 18 control) were approached after a measurement visit and administered semi-structured interviews. Interviews were analyzed using principles from grounded theory. Treatment group participants appreciated the timely support provided by the study and the integration of content across multiple technologies. Participants in both groups reported using non-study-designed apps to help them lose weight, and many participants knew one another outside of the study. Individuals talked about weight-loss goals with their friends face to face and felt accountable to follow through with their intentions. Although seeing others’ success online motivated many, there was a range of perceived acceptability in talking about personal health-related information on social media. The findings from this qualitative study can inform intervention trials using social and mobile technologies to promote weight loss. For example, weight-loss trials should measure participants’ use of direct-to-consumer technologies and interconnectivity so that treatment effects can be isolated and cross-contamination accounted for.},
     area = {pervasive_sensing},
     author = {Merchant, Gina and Weibel, Nadir and Pina, Laura and Griswold, William G and Fowler, James H and Ayala, Guadalupe X and Gallo, Linda C and Hollan, James and Patrick, Kevin},
     interhash = {42f0a4bbcf0cd3633b57bd3a2f05b6b1},
     intrahash = {595bbb1b7ff92c334fc872116999b62a},
     journal = {Journal of Health Communication},
     month = {January},
     pages = {1--9},
     projects = {smart},
     publisher = {Taylor & Francis},
     title = {Face-to-Face and Online Networks: College Students’ Experiences in a Weight-Loss Trial},
     year = 2017 
    }
  • [PDF] G. Merchant, N. Weibel, K. Patrick, J. H. Fowler, G. J. Norman, A. Gupta, C. Servetas, K. Calfas, K. Raste, L. Pina, M. Donohue, and S. Marshall, “Click ‘Like’ to change your behavior: A mixed methods study of college students’ exposure to and engagement with Facebook content designed for weight-loss,” Journal of Medical Internet Research, 2014.
    [Bibtex]
    @article{merchant2014click,
     area = {ubicomp_health, pervasive_sensing},
     author = {Merchant, Gina and Weibel, Nadir and Patrick, Kevin and Fowler, James H. and Norman, Greg J. and Gupta, Anjali and Servetas, Christina and Calfas, Karen and Raste, Ketaki and Pina, Laura and Donohue, Mike and Marshall, Simon},
     interhash = {996dc861e949864dae09f7dafa3fcea9},
     intrahash = {8de14708c12962d8fa44e43605ae3058},
     journal = {Journal of Medical Internet Research},
     month = may, projects = {smart, three-two-me},
     title = {Click '{Like}' to change your behavior: {A} mixed methods study of college students' exposure to and engagement with {Facebook} content designed for weight-loss},
     year = 2014 
    }
  • [PDF] G. Merchant, L. Pina, M. Black, E. Bales, N. Weibel, W. Griswold, J. Fowler, and K. Patrick, “Online and face-to-face: How do ad-hoc and existing networks support weight-related behavior change in young adults?,” in Abstracts (Rapid Communication) of SBM 2014, Annual Meeting of the Society of Behavioral Medicine, Philadelphia, USA, 2014.
    [Bibtex]
    @inproceedings{merchant2014online,
     address = {Philadelphia, USA},
     area = {pervasive_sensing, ubicomp_health},
     author = {Merchant, Gina and Pina, Laura and Black, Michelle and Bales, Elizabeth and Weibel, Nadir and Griswold, William and Fowler, James and Patrick, Kevin},
     booktitle = {Abstracts ({Rapid} {Communication}) of {SBM} 2014, {Annual} {Meeting} of the {Society} of {Behavioral} {Medicine}},
     interhash = {4c6a874f02168989fc6e2fb915b0f5f8},
     intrahash = {d62b2dc557f1402e7614907cca1bfc30},
     month = apr, projects = {smart},
     title = {Online and face-to-face: {How} do ad-hoc and existing networks support weight-related behavior change in young adults?},
     year = 2014 
    }

Multimodal Tools and Simulators

We are building tools for a variety of healthcare professionals who need smarter tools to help them, and their stakeholders (patients, fellow clinicians) to better access and explore their data, as well as make decisions based on them. Projects range the field of HIV/AIDS, as well as Nephrology.

Funding

PIRC: Primary Infection Resource Consortium
(NIH/NIAID, Aug 2013 – July 2017)

Publications

  • [PDF] A. Chaillon, M. Hoenigl, S. R. Mehta, N. Weibel, S. J. Little, and D. M. Smith, “A practical online tool to estimate antiretroviral coverage for HIV infected and susceptible populations needed to reduce local HIV epidemics,” Scientific Report, vol. 24, iss. 6, p. 28707, 2016.
    [Bibtex]
    @article{chaillon2016practical,
     area = {data_analysis},
     author = {Chaillon, Antoine and Hoenigl, Martin and Mehta, Sanjay R. and Weibel, Nadir and Little, Susan J. and Smith, Davey M.},
     interhash = {c5715c9c1348cd70d87a9646d6f5c0ac},
     intrahash = {4cc7f2ed67946a3fdb8fe3ae1e49ea2f},
     journal = {Scientific Report},
     month = {June},
     number = 6, pages = 28707, projects = {tools},
     title = {A practical online tool to estimate antiretroviral coverage for HIV infected and susceptible populations needed to reduce local HIV epidemics},
     volume = 24, year = 2016 
    }
  • [PDF] M. Hoenigl, N. Weibel, S. R. Mehta, C. M. Anderson, J. Jenks, N. Green, S. Gianella, D. M. Smith, and S. J. Little, “Development and Validation of the San Diego Early Test (SDET) Score to Predict Acute and Early HIV Infection Risk in Men who have Sex with Men,” Clinical Infectious Diseases, 2015.
    [Bibtex]
    @article{hoenigl2015development,
     area = {data_analysis},
     author = {Hoenigl, Martin and Weibel, Nadir and Mehta, Sanjay R. and Anderson, Christy M. and Jenks, Jeffrey and Green, Nella and Gianella, Sara and Smith, Davey M. and Little, Susan J.},
     interhash = {74d13cc9bce1537493a84428f6d5e0c4},
     intrahash = {f7c811a957d1a05fdccef2ae665dc800},
     journal = {Clinical Infectious Diseases},
     month = apr, projects = {hiv_aids, tools},
     title = {Development and {Validation} of the {San} {Diego} {Early} {Test} ({SDET}) {Score} to {Predict} {Acute} and {Early} {HIV} {Infection} {Risk} in {Men} who have {Sex} with {Men}},
     year = 2015 
    }
  • [PDF] L. Gabutti, F. Nobile, V. Forni, F. Rigamonti, N. Weibel, and M. Burnier, “Development of an erythropoietin prescription simulator to improve abilities for the prescription of erythropoietin stimulating agents: Is it feasible?,” BMC Nephrol, 2011.
    [Bibtex]
    @article{gabutti2011development,
     area = {data_analysis},
     author = {Gabutti, Luca and Nobile, Filippo and Forni, Valentina and Rigamonti, Fabio and Weibel, Nadir and Burnier, Michel},
     interhash = {961687d4773a59bc0ece6085f24c056d},
     intrahash = {e665f27176edac6877626b745531238b},
     journal = {BMC Nephrol},
     month = feb, projects = {nephrology, tools},
     title = {Development of an erythropoietin prescription simulator to improve abilities for the prescription of erythropoietin stimulating agents: {Is} it feasible?},
     year = 2011 
    }

Multimodal Learning Analytics

Learning Analytics research, focuses on computer-based learning contexts, where tools automatically capture, in a fine-grained level of detail, the interactions across users. The relative abundance of readily available data and the low technical barriers to process it, make computer-based learning systems possible

Publications

  • [PDF] X. Ochoa, M. Worsley, N. Weibel, and S. Oviatt, “Multimodal learning analytics data challenges,” in Proceedings of LAK’16, Sixth International Conference on Learning Analytics & Knowledge, 2016, pp. 498-499.
    [Bibtex]
    @inproceedings{ochoa2016multimodal,
     area = {pervasive_sensing, data_analysis},
     author = {Ochoa, Xavier and Worsley, Marcelo and Weibel, Nadir and Oviatt, Sharon},
     booktitle = {Proceedings of {LAK}'16, {Sixth} {International} {Conference} on {Learning} {Analytics} \& {Knowledge}},
     interhash = {b4e38aaa8ad361c36456ac4106dad1dd},
     intrahash = {5126fd65f78281c59848f9b0f6b2e1fd},
     month = apr, pages = {498--499},
     projects = {multimodal, mmla},
     title = {Multimodal learning analytics data challenges},
     year = 2016 
    }
  • [PDF] S. Oviatt, A. Cohen, and N. Weibel, “Multimodal Learning Analytics: Description of Math Data Corpus for ICMI Grand Challenge Workshop,” in Proceedings of ICMI 2013, ACM International Conference on Multimodal Interaction, 2013, pp. 563-568.
    [Bibtex]
    @inproceedings{oviatt2013multimodal,
     area = {pervasive_sensing, data_analysis},
     author = {Oviatt, Sharon and Cohen, Adrienne and Weibel, Nadir},
     booktitle = {Proceedings of {ICMI} 2013, {ACM} {International} {Conference} on {Multimodal} {Interaction}},
     interhash = {ef7903694c19456298aef43b32493f53},
     intrahash = {2cc0e06fc572819875558469216bc5e0},
     month = dec, pages = {563--568},
     projects = {multimodal, mmla},
     title = {Multimodal {Learning} {Analytics}: {Description} of {Math} {Data} {Corpus} for {ICMI} {Grand} {Challenge} {Workshop}},
     year = 2013 
    }
  • [PDF] L. Morency, S. Oviatt, S. Scherer, N. Weibel, and M. Worsley, “ICMI 2013 Grand Challenge Workshop on Multimodal Learning Analytics,” in Proceedings of ICMI 2013, ACM International Conference on Multimodal Interaction, 2013, pp. 373-378.
    [Bibtex]
    @inproceedings{morency2013grand,
     area = {pervasive_sensing, data_analysis},
     author = {Morency, Louis-Philippe and Oviatt, Sharon and Scherer, Stefan and Weibel, Nadir and Worsley, Marcelo},
     booktitle = {Proceedings of {ICMI} 2013, {ACM} {International} {Conference} on {Multimodal} {Interaction}},
     interhash = {0f690df3db7e07be504472f62fd378d3},
     intrahash = {bc4b3afd2639ed4e2f130b00d0f0d1b5},
     month = dec, pages = {373--378},
     projects = {multimodal, mmla},
     title = {{ICMI} 2013 {Grand} {Challenge} {Workshop} on {Multimodal} {Learning} {Analytics}},
     year = 2013 
    }
  • [PDF] S. Scherer, N. Weibel, S. Oviatt, and L. Morency, “Multimodal prediction of expertise and leadership in learning groups,” in Proc. Multimodal Learning Analytics Workshop at ICMI’12, ACM International Conference on Multimodal Interaction, 2012.
    [Bibtex]
    @inproceedings{scherer2012multimodal,
     area = {pervasive_sensing, data_analysis},
     author = {Scherer, Stefan and Weibel, Nadir and Oviatt, Sharon and Morency, Louis-Philippe},
     booktitle = {Proc. {Multimodal} {Learning} {Analytics} {Workshop} at {ICMI}'12, {ACM} {International} {Conference} on {Multimodal} {Interaction}},
     interhash = {631d97ad229bd0f6a3a4cf8e52c658cf},
     intrahash = {fc09d2dfd708d643e5051922bc56ece4},
     month = oct, note = {In Press},
     projects = {multimodal, mmla},
     title = {Multimodal prediction of expertise and leadership in learning groups},
     year = 2012 
    }

Archived Projects

Publications – Multimodal Exploratory Data Analysis and Visualization

  • N. Weibel, P. Desai, L. Saul, A. Gupta, and S. Little, “HIV Risk on Twitter: the Ethical Dimension of Social Media Evidence-based Prevention for Vulnerable Populations,” in Proceedings of HICSS-50, Hawaii International Conference on System Sciences, Big Island, HI, USA, 2017.
    [Abstract] [Bibtex]

    As of 2016 the HIV/AIDS epidemics is still a key public health problem. Recent reports showed that alarmingly high numbers of people in vulnerable populations are not reached by preventative efforts. Despite technology improvement, we are not yet able to identify populations that are most susceptible to HIV infections. In order to enable evidence-based prevention, we are studying new methods to identify HIV at-risk populations exploiting Twitter posts as indicators of HIV risk. Our research on social network analysis and machine learning outlined the feasibility of using tweets as monitoring tool for HIV-related risk at the demographic, geographical, and social network level. However, this approach highlights ethical dilemmas in three different areas: data collection and analysis, risk inference through imperfect probabilistic approaches, and data-driven prevention. We contribute a description, analysis and discussion of ethics based on our 2-year experience with clinicians, IRBs, and local HIV communities in San Diego, California.

    @inproceedings{weibel2017twitter,
     abstract = {As of 2016 the HIV/AIDS epidemics is still a key public health problem. Recent reports showed that alarmingly high numbers of people in vulnerable populations are not reached by preventative efforts. Despite technology improvement, we are not yet able to identify populations that are most susceptible to HIV infections. In order to enable evidence-based prevention, we are studying new methods to identify HIV at-risk populations exploiting Twitter posts as indicators of HIV risk. Our research on social network analysis and machine learning outlined the feasibility of using tweets as monitoring tool for HIV-related risk at the demographic, geographical, and social network level. However, this approach highlights ethical dilemmas in three different areas: data collection and analysis, risk inference through imperfect probabilistic approaches, and data-driven prevention. We contribute a description, analysis and discussion of ethics based on our 2-year experience with clinicians, IRBs, and local HIV communities in San Diego, California.},
     address = {Big Island, HI, USA},
     area = {data_analysis, pervasive_sensing},
     author = {Weibel, Nadir and Desai, Purvi and Saul, Lawrence and Gupta, Amarnath and Little, Susan},
     booktitle = {Proceedings of {HICSS}-50, {Hawaii} {International} {Conference} on {System} {Sciences}},
     interhash = {186ce1d8dba35a1f1286736a41eab680},
     intrahash = {e1a470aa4f364b7ed5a3ffb7572f6741},
     month = jan, note = {In Press},
     projects = {pircnet, core},
     title = {{HIV} {Risk} on {Twitter}: the {Ethical} {Dimension} of {Social} {Media} {Evidence}-based {Prevention} for {Vulnerable} {Populations}},
     year = 2017 
    }
  • [PDF] A. Chaillon, M. Hoenigl, S. R. Mehta, N. Weibel, S. J. Little, and D. M. Smith, “A practical online tool to estimate antiretroviral coverage for HIV infected and susceptible populations needed to reduce local HIV epidemics,” Scientific Report, vol. 24, iss. 6, p. 28707, 2016.
    [Bibtex]
    @article{chaillon2016practical,
     area = {data_analysis},
     author = {Chaillon, Antoine and Hoenigl, Martin and Mehta, Sanjay R. and Weibel, Nadir and Little, Susan J. and Smith, Davey M.},
     interhash = {c5715c9c1348cd70d87a9646d6f5c0ac},
     intrahash = {4cc7f2ed67946a3fdb8fe3ae1e49ea2f},
     journal = {Scientific Report},
     month = {June},
     number = 6, pages = 28707, projects = {tools},
     title = {A practical online tool to estimate antiretroviral coverage for HIV infected and susceptible populations needed to reduce local HIV epidemics},
     volume = 24, year = 2016 
    }
  • [PDF] X. Ochoa, M. Worsley, N. Weibel, and S. Oviatt, “Multimodal learning analytics data challenges,” in Proceedings of LAK’16, Sixth International Conference on Learning Analytics & Knowledge, 2016, pp. 498-499.
    [Bibtex]
    @inproceedings{ochoa2016multimodal,
     area = {pervasive_sensing, data_analysis},
     author = {Ochoa, Xavier and Worsley, Marcelo and Weibel, Nadir and Oviatt, Sharon},
     booktitle = {Proceedings of {LAK}'16, {Sixth} {International} {Conference} on {Learning} {Analytics} \& {Knowledge}},
     interhash = {b4e38aaa8ad361c36456ac4106dad1dd},
     intrahash = {5126fd65f78281c59848f9b0f6b2e1fd},
     month = apr, pages = {498--499},
     projects = {multimodal, mmla},
     title = {Multimodal learning analytics data challenges},
     year = 2016 
    }
  • [PDF] N. Thangarajan, N. Green, A. Gupta, S. Little, and N. Weibel, “Analyzing Social Media to Characterize Local HIV At-risk Populations,” in Proceedings of Wireless Health 2015, International Conference on Wireless, Connected and Mobile Health Research, Bethesda, USA, 2015.
    [Bibtex]
    @inproceedings{thangarajan2015analyzing,
     address = {Bethesda, USA},
     area = {pervasive_sensing, data_analysis},
     author = {Thangarajan, Narendran and Green, Nella and Gupta, Amaranth and Little, Susan and Weibel, Nadir},
     booktitle = {Proceedings of {Wireless} {Health} 2015, {International} {Conference} on {Wireless},
     {Connected} and {Mobile} {Health} {Research}},
     interhash = {49f82be02b37218ba544b332fb29cba3},
     intrahash = {04a357ef6b8bfce179474bbc022881eb},
     month = oct, note = {In Press},
     projects = {pircnet},
     title = {Analyzing {Social} {Media} to {Characterize} {Local} {HIV} {At}-risk {Populations}},
     year = 2015 
    }
  • [PDF] M. Hoenigl, N. Weibel, S. R. Mehta, C. M. Anderson, J. Jenks, N. Green, S. Gianella, D. M. Smith, and S. J. Little, “Development and Validation of the San Diego Early Test (SDET) Score to Predict Acute and Early HIV Infection Risk in Men who have Sex with Men,” Clinical Infectious Diseases, 2015.
    [Bibtex]
    @article{hoenigl2015development,
     area = {data_analysis},
     author = {Hoenigl, Martin and Weibel, Nadir and Mehta, Sanjay R. and Anderson, Christy M. and Jenks, Jeffrey and Green, Nella and Gianella, Sara and Smith, Davey M. and Little, Susan J.},
     interhash = {74d13cc9bce1537493a84428f6d5e0c4},
     intrahash = {f7c811a957d1a05fdccef2ae665dc800},
     journal = {Clinical Infectious Diseases},
     month = apr, projects = {hiv_aids, tools},
     title = {Development and {Validation} of the {San} {Diego} {Early} {Test} ({SDET}) {Score} to {Predict} {Acute} and {Early} {HIV} {Infection} {Risk} in {Men} who have {Sex} with {Men}},
     year = 2015 
    }
  • [PDF] L. Morency, S. Oviatt, S. Scherer, N. Weibel, and M. Worsley, “ICMI 2013 Grand Challenge Workshop on Multimodal Learning Analytics,” in Proceedings of ICMI 2013, ACM International Conference on Multimodal Interaction, 2013, pp. 373-378.
    [Bibtex]
    @inproceedings{morency2013grand,
     area = {pervasive_sensing, data_analysis},
     author = {Morency, Louis-Philippe and Oviatt, Sharon and Scherer, Stefan and Weibel, Nadir and Worsley, Marcelo},
     booktitle = {Proceedings of {ICMI} 2013, {ACM} {International} {Conference} on {Multimodal} {Interaction}},
     interhash = {0f690df3db7e07be504472f62fd378d3},
     intrahash = {bc4b3afd2639ed4e2f130b00d0f0d1b5},
     month = dec, pages = {373--378},
     projects = {multimodal, mmla},
     title = {{ICMI} 2013 {Grand} {Challenge} {Workshop} on {Multimodal} {Learning} {Analytics}},
     year = 2013 
    }
  • [PDF] S. Oviatt, A. Cohen, and N. Weibel, “Multimodal Learning Analytics: Description of Math Data Corpus for ICMI Grand Challenge Workshop,” in Proceedings of ICMI 2013, ACM International Conference on Multimodal Interaction, 2013, pp. 563-568.
    [Bibtex]
    @inproceedings{oviatt2013multimodal,
     area = {pervasive_sensing, data_analysis},
     author = {Oviatt, Sharon and Cohen, Adrienne and Weibel, Nadir},
     booktitle = {Proceedings of {ICMI} 2013, {ACM} {International} {Conference} on {Multimodal} {Interaction}},
     interhash = {ef7903694c19456298aef43b32493f53},
     intrahash = {2cc0e06fc572819875558469216bc5e0},
     month = dec, pages = {563--568},
     projects = {multimodal, mmla},
     title = {Multimodal {Learning} {Analytics}: {Description} of {Math} {Data} {Corpus} for {ICMI} {Grand} {Challenge} {Workshop}},
     year = 2013 
    }
  • [PDF] E. Hutchins, N. Weibel, C. Emmenegger, and A. Fouse, “An Integrative Approach to Understanding Flight Crew Activity,” Journal of Cognitive Engineering and Decision Making, 2013.
    [Bibtex]
    @article{hutchins2013integrative,
     area = {data_analysis},
     author = {Hutchins, Ed and Weibel, Nadir and Emmenegger, Colleen and Fouse, Adam},
     interhash = {293f222d0df3744a8add239d968d5a5f},
     intrahash = {e0b6c628705008072bfb57c4b823069e},
     journal = {Journal of Cognitive Engineering and Decision Making},
     month = jul, projects = {chronoviz, boeing},
     title = {An {Integrative} {Approach} to {Understanding} {Flight} {Crew} {Activity}},
     year = 2013 
    }
  • [PDF] N. Weibel, C. Emmenegger, J. Lyons, R. Dixit, L. L. Hill, and J. D. Hollan, “Interpreter-Mediated Physician-Patient Communication: Opportunities for Multimodal Healthcare Interfaces,” in Proceedings of PervasiveHealth 2013, International Conference on Pervasive Computing Technologies for Healthcare, Venice, Italy, 2013, pp. 113-120.
    [Bibtex]
    @inproceedings{weibel2013interpretermediated,
     address = {Venice, Italy},
     area = {data_analysis},
     author = {Weibel, Nadir and Emmenegger, Colleen and Lyons, Jennifer and Dixit, Ram and Hill, Linda L. and Hollan, James D.},
     booktitle = {Proceedings of {PervasiveHealth} 2013, {International} {Conference} on {Pervasive} {Computing} {Technologies} for {Healthcare}},
     interhash = {299f491d2a51fe41313f27516d918e99},
     intrahash = {82dd0958f8a9c038520e550434803731},
     month = may, pages = {113--120},
     projects = {patient-physician communication},
     title = {Interpreter-{Mediated} {Physician}-{Patient} {Communication}: {Opportunities} for {Multimodal} {Healthcare} {Interfaces}},
     year = 2013 
    }
  • [PDF] A. Fouse, N. Weibel, C. Johnson, and J. Hollan, “Reifying Social Movement Trajectories,” in Proceedings of CHI 2013, ACM Conference on Human Factors in Computing Systems, Paris, France, 2013, pp. 2945-2948.
    [Bibtex]
    @inproceedings{fouse2013reifying,
     address = {Paris, France},
     area = {data_analysis},
     author = {Fouse, Adam and Weibel, Nadir and Johnson, Christine and Hollan, James},
     booktitle = {Proceedings of {CHI} 2013, {ACM} {Conference} on {Human} {Factors} in {Computing} {Systems}},
     interhash = {42f99ddc9267a48e4ecf3ac4ddb3ee85},
     intrahash = {91dfb1b8be0586d3aac379ab6219d63a},
     month = may, pages = {2945--2948},
     projects = {chronoviz},
     title = {Reifying {Social} {Movement} {Trajectories}},
     year = 2013 
    }
  • [PDF] S. Scherer, N. Weibel, S. Oviatt, and L. Morency, “Multimodal prediction of expertise and leadership in learning groups,” in Proc. Multimodal Learning Analytics Workshop at ICMI’12, ACM International Conference on Multimodal Interaction, 2012.
    [Bibtex]
    @inproceedings{scherer2012multimodal,
     area = {pervasive_sensing, data_analysis},
     author = {Scherer, Stefan and Weibel, Nadir and Oviatt, Sharon and Morency, Louis-Philippe},
     booktitle = {Proc. {Multimodal} {Learning} {Analytics} {Workshop} at {ICMI}'12, {ACM} {International} {Conference} on {Multimodal} {Interaction}},
     interhash = {631d97ad229bd0f6a3a4cf8e52c658cf},
     intrahash = {fc09d2dfd708d643e5051922bc56ece4},
     month = oct, note = {In Press},
     projects = {multimodal, mmla},
     title = {Multimodal prediction of expertise and leadership in learning groups},
     year = 2012 
    }
  • [PDF] N. Weibel, A. Fouse, C. Emmenegger, S. Kimmich, and E. Hutchins, “Let’s look at the Cockpit: Exploring Mobile Eye-Tracking for Observational Research on the Flight Deck,” in Proc. ETRA 2012, ACM Symposium on Eye Tracking Research and Applications, Santa Barbara, CA, USA, 2012, pp. 107-114.
    [Bibtex]
    @inproceedings{weibel2012cockpit,
     address = {Santa Barbara, CA, USA},
     area = {data_analysis},
     author = {Weibel, Nadir and Fouse, Adam and Emmenegger, Colleen and Kimmich, Sara and Hutchins, Edwin},
     booktitle = {Proc. {ETRA} 2012, {ACM} {Symposium} on {Eye} {Tracking} {Research} and {Applications}},
     interhash = {0679a1ed228429987f76d083475262f3},
     intrahash = {3fd8564f29a24bdb243d795acae19998},
     month = mar, pages = {107--114},
     projects = {chronoviz, boeing},
     title = {Let's look at the {Cockpit}: {Exploring} {Mobile} {Eye}-{Tracking} for {Observational} {Research} on the {Flight} {Deck}},
     year = 2012 
    }
  • [PDF] [URL] N. Weibel, A. Fouse, C. Emmenegger, W. Friedman, E. Hutchins, and J. Hollan, “Digital pen and paper practices in observational research,” in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2012, pp. 1331-1340.
    [Bibtex]
    @inproceedings{weibel2012digital,
     area = {data_analysis},
     author = {Weibel, Nadir and Fouse, Adam and Emmenegger, Colleen and Friedman, Whitney and Hutchins, Edwin and Hollan, James},
     booktitle = {Proceedings of the {SIGCHI} {Conference} on {Human} {Factors} in {Computing} {Systems}},
     interhash = {963ff8947d07ed5e0c112506ed81e7f0},
     intrahash = {db330cde63bb0c1711e6aef946c9b88a},
     pages = {1331--1340},
     projects = {chronoviz, boeing},
     publisher = {ACM},
     title = {Digital pen and paper practices in observational research},
     url = {http://dl.acm.org/citation.cfm?id=2208590},
     urldate = {2016-08-22},
     year = 2012 
    }
  • [PDF] A. Fouse, N. Weibel, E. Hutchins, and J. D. Hollan, “ChronoViz: A System for Supporting Navigation of Time-coded Data,” in Extended Abstracts of CHI 2011, ACM Conference on Human Factors in Computing Systems, Vancouver, Canada, 2011, pp. 299-304.
    [Bibtex]
    @inproceedings{fouse2011chronoviz,
     address = {Vancouver, Canada},
     area = {data_analysis, pervasive_sensing},
     author = {Fouse, Adam and Weibel, Nadir and Hutchins, Edwin and Hollan, James D.},
     booktitle = {Extended {Abstracts} of {CHI} 2011, {ACM} {Conference} on {Human} {Factors} in {Computing} {Systems}},
     interhash = {abcde7539c9ff5d0de07bb07dfa637a2},
     intrahash = {69e79b23240d2ae52fe7548676a72cd8},
     month = may, pages = {299--304},
     projects = {chronoviz},
     title = {{ChronoViz}: {A} {System} for {Supporting} {Navigation} of {Time}-coded {Data}},
     year = 2011 
    }
  • [PDF] N. Weibel, A. Fouse, E. Hutchins, and J. D. Hollan, “Supporting an Integrated Paper-Digital Workflow for Observational Research,” in Proc. IUI 2011, International Conference on Intelligent User Interfaces, Palo Alto, CA, USA, 2011, pp. 257-266.
    [Bibtex]
    @inproceedings{weibel2011supporting,
     address = {Palo Alto, CA, USA},
     area = {data_analysis},
     author = {Weibel, Nadir and Fouse, Adam and Hutchins, Edwin and Hollan, James D.},
     booktitle = {Proc. {IUI} 2011, {International} {Conference} on {Intelligent} {User} {Interfaces}},
     interhash = {79d9e3736c92dafdb77fdc57a48d3254},
     intrahash = {5d30122099e7f8817d8a0865710a96d1},
     month = feb, pages = {257--266},
     projects = {paper-digital, chronoviz},
     title = {Supporting an {Integrated} {Paper}-{Digital} {Workflow} for {Observational} {Research}},
     year = 2011 
    }
  • [PDF] L. Gabutti, F. Nobile, V. Forni, F. Rigamonti, N. Weibel, and M. Burnier, “Development of an erythropoietin prescription simulator to improve abilities for the prescription of erythropoietin stimulating agents: Is it feasible?,” BMC Nephrol, 2011.
    [Bibtex]
    @article{gabutti2011development,
     area = {data_analysis},
     author = {Gabutti, Luca and Nobile, Filippo and Forni, Valentina and Rigamonti, Fabio and Weibel, Nadir and Burnier, Michel},
     interhash = {961687d4773a59bc0ece6085f24c056d},
     intrahash = {e665f27176edac6877626b745531238b},
     journal = {BMC Nephrol},
     month = feb, projects = {nephrology, tools},
     title = {Development of an erythropoietin prescription simulator to improve abilities for the prescription of erythropoietin stimulating agents: {Is} it feasible?},
     year = 2011 
    }

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