Andrew Kun

Andrew L. Kun was born in Szeged, Hungary in 1968. He received his BS, MS, and PhD degrees in electrical engineering from the University of New Hampshire in 1992, 1994, and 1997, respectively. He has been an assistant and then associate professor at the Electrical and Computer Engineering Department of the University of New Hampshire since September 2000.
Courses Taught
- 634: Signals and Systems II
- 714/814: Intro Digital Signal Process
- 814: Intro Digital Signal Process
- 994: AdvTop/Hmn-Cmp Interaction
- 999: Doctoral Research
- ECE 724: Ubicomp Fundamentals
- ECE 824: Ubicomp Fundamentals
- ECE 900A: R&D Concept to Communication 1
- ECE 900B: R&D Concept to Communication 2
- ECE 924: Ubiquitous Computing
- ECE 999: Doctoral Research
- INCO 590: Rsrch Exp/Elect & Computer Eng
Selected Publications
Mark, G., Kun, A. L., Rintel, S., & Sellen, A. (2022). Introduction to this special issue: the future of remote work: responses to the pandemic. HUMAN-COMPUTER INTERACTION. doi:10.1080/07370024.2022.2038170
Teodorovicz, T., Sadun, R., Kun, A. L., & Shaer, O. (2021). How does working from home during COVID-19 affect what managers do? Evidence from time-Use studies. HUMAN-COMPUTER INTERACTION. doi:10.1080/07370024.2021.1987908
Becerra, Z. M., Fereydooni, N., Kun, A. L., McKerral, A., Riener, A., Schartmueller, C., . . . Wintersberger, P. (2021). Interactive Workshops in a Pandemic: The Real Benefits of Virtual Spaces. IEEE PERVASIVE COMPUTING, 20(1), 35-39. doi:10.1109/MPRV.2020.3044072
Kun, A. L., Girouard, A., Roudaut, A., & Shaer, O. (2020). Teaching pervasive computing: a report and a look ahead from a dagstuhl seminar. IEEE PERVASIVE COMPUTING, 19(1), 92-96. doi:10.1109/MPRV.2019.2963156
Kun, A. L. (2018). Human-Machine Interaction for Vehicles: Review and Outlook. Foundations and Trends® in Human–Computer Interaction, 11(4), 201-293. doi:10.1561/1100000069
Kun, A. L., Boll, S., & Schmidt, A. (2016). Shifting Gears: User Interfaces in the Age of Autonomous Driving. IEEE PERVASIVE COMPUTING, 15(1), 32-38. Retrieved from http://gateway.webofknowledge.com/
Pfleging, B., Fekety, D. K., Schmidt, A., Kun, A. L., & ACM. (2016). A Model Relating Pupil Diameter to Mental Workload and Lighting Conditions. In 34TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2016 (pp. 5776-5788). doi:10.1145/2858036.2858117
Gable, T. M., Walker, B. N., Kun, A. L., Winton, R. J., & ACM. (2015). Comparing Heart Rate and Pupil Size as Objective Measures of Workload in the Driving Context: Initial Look. In PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS (AUTOMOTIVE UI '15) (pp. 20-25). doi:10.1145/2809730.2809745
Kun, A. L., & Miller, W. T. (1999). Control of variable-speed gaits for a biped robot. IEEE ROBOTICS & AUTOMATION MAGAZINE, 6(3), 19-29. doi:10.1109/100.793697
Kun, A., Miller, W. T., & IEEE, R. A. S. O. C. (1996). Adaptive dynamic balance of a biped robot using neural networks. In 1996 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, PROCEEDINGS, VOLS 1-4 (pp. 240-245). Retrieved from http://gateway.webofknowledge.com/
Most Cited Publications