College of Media and Communication

Research output

Scholarly Research per year 1983 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024

• 2298 Article
• 611 Other contribution
• 600 Chapter
• 163 Book
• 267 More
  • 130 Paper
  • 34 Conference contribution
  • 32 Editorial
  • 27 Review article
  • 13 Comment/debate
  • 10 Foreword/postscript
  • 6 Exhibition
  • 5 Conference article
  • 5 Other
  • 4 Letter
  • 1 Short survey

Scholarly Research per year

Scholarly Research per year

Search results

• 2023

  A Capacity Framework of Community Readiness for Supporting Big Data Science Projects during Cyberinfrastructure Diffusion

  Kee, K., Olshansky, A., Xu, S. & Jitkajornwanich, K., Dec 31 2023.

  Research output: Contribution to conference › Paper › peer-review

  • opinion leader 100%
  • curriculum 41%
  • questionnaire 38%
  • student 18%

• A Capacity Framework of Community Readiness for Supporting Big Data Science Projects during Cyberinfrastructure Diffusion

  Kee, K., Olshansky, A., Xu, S. & Jitkajornwanich, K., Dec 31 2023.

  Research output: Contribution to conference › Paper › peer-review

• Explicating news frames: A framing analysis of GMO news coverage

  Essary, C., Fischer, L., Irlbeck, E. & Peaslee, R., 2023.

  Research output: Contribution to conference › Paper › peer-review

  • coverage 100%
  • news 98%

• Question Classification for Thai Conversational Chatbots Using Artificial Neural Networks and Multilingual BERT Models

  Thananukhun, K., Jaiyen, S., Jitkajornwanich, K. & Hanskunatai, A., 2023.

  Research output: Contribution to conference › Paper

  • Neural networks 100%

• Sifting Through Clutter and Finding Answers that Utter Among COVID-19 Data for Medical Users via Gateways

  Wang, S., Oruche, R., Goni, M. A., Cheng, X., Milman, E., Calyam, P. & Kee, K., Oct 30 2023.

  Research output: Contribution to conference › Paper › peer-review

  • Computer programming languages 100%
  • Education 93%

• Sifting Through Clutter and Finding Answers that Utter Among COVID-19 Data for Medical Users via Gateways

  Wang, S., Oruche, R., Goni, M. A., Cheng, X., Milman, E., Calyam, P. & Kee, K., Oct 30 2023.

  Research output: Contribution to conference › Paper › peer-review
• 2022

  A benchmark study of video technology and products employed within extension communication units

  Moore, A., Irlbeck, E., Meyers, C., Kennedy, L. & Callison, D., 2022.

  Research output: Contribution to conference › Paper › peer-review

  • Benchmark 100%
  • Communication 53%

• A benchmark study of video technology and products employed within extension communication units

  Moore, A., Irlbeck, E., Meyers, C., Kennedy, L. & Callison, D., 2022.

  Research output: Contribution to conference › Paper › peer-review

• An Organizational Framework of Institutional Stakeholder Engagement for Capacity to Support Big Data Science Teams Towards Cyberinfrastructure Diffusion

  Kee, K., Olshansky, A. & Xu, S., 2022.

  Research output: Contribution to conference › Paper › peer-review

• An Organizational Framework of Institutional Stakeholder Engagement for Capacity to Support Big Data Science Teams Towards Cyberinfrastructure Diffusion

  Kee, K., Olshansky, A. & Xu, S., 2022.

  Research output: Contribution to conference › Paper › peer-review

  • Data Science 100%
  • Big data 66%

• Engineering Identity and the Engineering Manager

  Beruvides, M., Cross, J., Cargile Cook, K., Tiruvengadam, N. & Elizondo-Noriega, A., Oct 2022.

  Research output: Contribution to conference › Paper › peer-review

  • Managers 100%

• Understanding Factors that Influence Research Computing and Data Careers

  Chaundhry, S., Pazouki, A., Schmitz, P., Hillery, B. & Kee, K., 2022.

  Research output: Contribution to conference › Paper › peer-review

• Understanding Factors that Influence Research Computing and Data Careers

  Chaundhry, S., Pazouki, A., Schmitz, P., Hillery, B. & Kee, K., 2022.

  Research output: Contribution to conference › Paper › peer-review

• What’s in a footprint? An exploration of Twitter Real versus Fake News Accounts during the 2016 Electoral Campaign ioana

  Coman, I., Swed, O., Bazaa, U., Sreepada, N. & Dang, T., Jun 2022.

  Research output: Contribution to conference › Paper › peer-review

• What’s in a footprint? An exploration of Twitter Real versus Fake News Accounts during the 2016 Electoral Campaign ioana

  Coman, I., Swed, O., Bazaa, U., Sreepada, N. & Dang, T., Jun 2022.

  Research output: Contribution to conference › Paper › peer-review

  • twitter 100%
  • campaign 74%
  • news 74%
• 2021

  A chinese-language validation of the video game demand scale (vgds-c) measuring the cognitive, emotional, physical, and social demands of video games

  Bowman, N. & Lin, J. H., May 6 2021.

  Research output: Contribution to conference › Paper › peer-review

  • Video Games 100%
  • Language 59%

• A Socio-Technical Framework for Measuring Organizational Capacity during Cyberinfrastructure Diffusion

  Kee, K., Olshansky, A. & Xu, S., Dec 30 2021.

  Research output: Contribution to conference › Paper › peer-review

• A Socio-Technical Framework for Measuring Organizational Capacity during Cyberinfrastructure Diffusion

  Kee, K., Olshansky, A. & Xu, S., Dec 30 2021.

  Research output: Contribution to conference › Paper › peer-review

• A Vision for Science Gateways: Bridging the Gap and Broadening the Outreach

  Gesing, S., Brandt, S., Brad, S., Potkewitz, M., Kee, K., Whysel, N., Perri, M., Sean, Ri, A. & Smith, J., Jul 17 2021.

  Research output: Contribution to conference › Paper › peer-review

• A Vision for Science Gateways: Bridging the Gap and Broadening the Outreach

  Gesing, S., Brandt, S., Brad, S., Potkewitz, M., Kee, K., Whysel, N., Perri, M., Sean, Ri, A. & Smith, J., Jul 17 2021.

  Research output: Contribution to conference › Paper › peer-review

• Demanding on many dimensions: Validating the interactivity-as-demand measurement model for VR-based video games

  Bowman, N., Lin, J. H. T. & Koban, K., Sep 2021.

  Research output: Contribution to conference › Paper › peer-review

  • interactive media 100%
  • computer game 94%
  • demand 65%
  • experience 29%
  • speaking 18%

• Flow encourages task focus, but frustration drives task switching how reward and efort combine to influence player engagement in a simple video game

  Bowman, N., Keene, J. & Najera, C., May 6 2021.

  Research output: Contribution to conference › Paper › peer-review

• Flow encourages task focus, but frustration drives task switching how reward and efort combine to influence player engagement in a simple video game

  Bowman, N., Keene, J. & Najera, C., May 6 2021.

  Research output: Contribution to conference › Paper › peer-review

• How Awe Affects Players’ Entertainment Experiences Over Six Weeks of Playing

  Possler, D., Klimmt, C. & Bowman, N., Jan 1 2021.

  Research output: Contribution to conference › Paper › peer-review

  • entertainment 100%
  • experience 32%

• Shared spaces as authenticity: Exploring the connectedness of the physical spaces of microstreamers and their audience

  Phelps, A., Bowman, N. & Consalvo, M., Sep 2021.

  Research output: Contribution to conference › Paper › peer-review

  • authenticity 100%
  • research focus 49%
  • event 28%

• The Characteristics of Influencers and Opinion Leaders of Science Gateways and Cyberinfrastructure

  Olshansky, A., Hayes, C., Kulkarni, C. A. & Kee, K., Oct 19 2021.

  Research output: Contribution to conference › Paper › peer-review

  • opinion leader 100%

• The Characteristics of Influencers and Opinion Leaders of Science Gateways and Cyberinfrastructure

  Olshansky, A., Hayes, C., Kulkarni, C. A. & Kee, K., Oct 19 2021.

  Research output: Contribution to conference › Paper › peer-review

• Toward a framework for considering Echo Technologies: Faithfulness and transparency in reflecting user data

  Banks, J., Sep 2021.

  Research output: Contribution to conference › Paper › peer-review

  • transparency 100%
• 2020

  Air Quality Assessment Based on Landsat 8 Images Using Supervised Machine Learning Techniques

  Vijaranakul, N., Jaiyen, S., Srestasathiern, P., Lawawirojwong, S. & Jitkajornwanich, K., 2020.

  Research output: Contribution to conference › Paper

  • Air quality 100%
  • Machine learning 66%

• Electrostatic Properties and Ions Elimination Effect of Polyvinyl Chloride (PVC) Adhesive Tape Manufacturing

  Jenbanphue, T., Hongesombut, K., Jitkajornwanich, K. & Srisonphan, S., 2020.

  Research output: Contribution to conference › Paper

  • Adhesive Tape 100%
  • Poly(vinyl Chloride) 68%
  • Ion 26%

• Social and Entertainment Gratifications of Videogame Play Comparing Robot, AI, and Human Partners

  Bowman, N. & Banks, J., Jan 2020.

  Research output: Contribution to conference › Paper › peer-review

  • Social robots 100%
  • Entertainment 78%
  • Robots 46%

• The Grid-Based Spatial ARIMA Model: An Innovation for Short-Term Predictions of Ocean Current Patterns with Big HF Radar Data

  Pongto, R., Wiwattanaphon, N., Lekpong, P., Lawawirojwong, S., Srisonphan, S., Kee, K. & Jitkajornwanich, K., 2020.

  Research output: Contribution to conference › Paper

• The Grid-Based Spatial ARIMA Model: An Innovation for Short-Term Predictions of Ocean Current Patterns with Big HF Radar Data

  Pongto, R., Wiwattanaphon, N., Lekpong, P., Lawawirojwong, S., Srisonphan, S., Kee, K. & Jitkajornwanich, K., 2020.

  Research output: Contribution to conference › Paper

  • Ocean currents 100%
  • Radar 58%

• Understanding Engineering Identity Formation Mechanisms in Graduate and Undergraduate Education: A State-of-the-Art Matrix Analysis

  Elizondo-Noriega, A., Tiruvengadam, N., Cargile Cook, K., Cross, J. & Beruvides, M., Oct 2020.

  Research output: Contribution to conference › Paper › peer-review

  • identity formation 100%
  • graduate 59%
  • engineering 56%
  • education 28%
• 2019

  A deep learning model for odor classification using deep neural network

  Grodniyomchai, B., Chalapat, K., Jitkajornwanich, K. & Jaiyen, S., 2019.

  Research output: Contribution to conference › Paper

  • Odors 100%
  • Deep neural networks 77%
  • Deep learning 71%

• A Hybrid of Shallow and Deep Learning for Odor Classification Based on Adaptive Boosting

  Grodniyomchai, B., Chalapat, K., Jitkajornwanich, K. & Jaiyen, S., 2019.

  Research output: Contribution to conference › Paper

  • odor 100%
  • learning 81%

• Combining Attentional CNN and GRU Networks for Ocean Current Prediction based on HF Radar Observations

  Thongniran, N., Jitkajornwanich, K., Lawawirojwong, S., Srestasathiern, P. & Vateekul, P., 2019.

  Research output: Contribution to conference › Paper

  • Ocean currents 100%
  • Radar 58%

• Effects of Question Difficulty and Post-question Wait-time on Emotional Response: A Psychophysiological Analysis

  Gilliam, K., Baker, M., Rayfield, J., Ritz, R. & Cummins, R., 2019.

  Research output: Contribution to conference › Paper › peer-review

• Effects of Question Difficulty and Post-question Wait-time on Emotional Response: A Psychophysiological Analysis

  Gilliam, K., Baker, M., Rayfield, J., Ritz, R. & Cummins, R., 2019.

  Research output: Contribution to conference › Paper › peer-review

  • time 100%

• Examining the utility of presence: 20 years of presence research and future directions

  Ahn, S-J. & Bowman, N., 2019.

  Research output: Contribution to conference › Paper › peer-review

  • Virtual Reality 100%
  • Thinking 80%
  • Research Design 65%
  • Direction compound 59%

• External Communication to Diffuse Science Gateways and Cyberinfrastructure as Innovations for Research with Big Data

  Le, B., Escalera, F., Jitkajornwanich, K. & Kee, K., Sep 26 2019.

  Research output: Contribution to conference › Paper › peer-review

• External Communication to Diffuse Science Gateways and Cyberinfrastructure as Innovations for Research with Big Data

  Le, B., Escalera, F., Jitkajornwanich, K. & Kee, K., Sep 26 2019.

  Research output: Contribution to conference › Paper › peer-review

• Feeling and working in digital Appalachia: Two months playing Fallout 76 fosters a sense of place in West Virginia

  Bowman, N., Banks, J. & Rittenour, C., 2019.

  Research output: Contribution to conference › Paper › peer-review

  • computer game 100%
  • nuclear war 45%
  • poster 35%
  • interactive media 35%
  • experience 31%

• Moving Object Detection Using Integrated Spatial and Motion-Based Method

  Chansuparp, M. & Jitkajornwanich, K., 2019.

  Research output: Contribution to conference › Paper

  • Object detection 100%

• Perceptions of Undergraduate Agricultural Education Students on the Effects of Question Difficulty and Post-question Wait-time on Cognitive and Emotional Processes.

  Gilliam, K., Baker, M., Rayfield, J., Ritz, R. & Cummins, R., 2019.

  Research output: Contribution to conference › Paper › peer-review

• Perceptions of Undergraduate Agricultural Education Students on the Effects of Question Difficulty and Post-question Wait-time on Cognitive and Emotional Processes.

  Gilliam, K., Baker, M., Rayfield, J., Ritz, R. & Cummins, R., 2019.

  Research output: Contribution to conference › Paper › peer-review

  • time 100%
  • education 87%
  • student 70%

• Scapes Collective Manifesto: Situated Knowledge In Local Matters And Global Conditions

  Larson, S., Elola, I., Bauer, C., Beneytez, R., Wilkinson, K. & Taylor, C., Feb 11 2019.

  Research output: Contribution to conference › Paper › peer-review

  • university teacher 100%
  • social space 75%
  • linguistics 45%
  • responsibility 37%
  • teacher 29%

• Scapes Collective Manifesto: Situated Knowledge In Local Matters And Global Conditions

  Larson, S., Elola, I., Bauer, C., Beneytez, R., Wilkinson, K. & Taylor, C., Feb 11 2019.

  Research output: Contribution to conference › Paper › peer-review

• Social and entertainment gratifications of gaming with robot, AI, and human partners

  Bowman, N. D. & Banks, J., Oct 2019.

  Research output: Contribution to conference › Paper › peer-review

  • Entertainment 100%
  • Social robots 63%
  • Robots 58%
  • Robotics 34%

• Spatio-temporal deep learning for ocean current prediction based on HF radar data

  Thongniran, N., Vateekul, P., Jitkajornwanich, K., Lawawirojwong, S. & Srestasathiern, P., 2019.

  Research output: Contribution to conference › Paper

  • Ocean currents 100%
  • Deep learning 65%
  • Radar 58%