Driven By Science
Integral to our ethos, Nx10's products were born from science, and are backed by active research.
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list of key publications
- Hessa Alfalahi, Ahsan H Khandoker, Nayeefa Chowdhury, Dimitrios Iakovakis, Sofia B Dias, K Ray Chaudhuri, and Leontios J Hadjileontiadis. Diagnostic accuracy of keystroke dynamics as digital biomarkers for fine motor decline in neuropsychiatric disorders: a systematic review and metaanalysis. Scientific reports, 12(1):7690, 2022. . https://doi.org/10.1038/s41598-022-11865-7
- Kaveh Bakhtiyari, Mona Taghavi, and Hafizah Husain. Implementation of emotional-aware computer systems using typical input devices. In Intelligent Information and Database Systems: 6th Asian Conference, ACIIDS 2014, Bangkok, Thailand, April 7-9, 2014, Proceedings, Part I 6, pages 364–374. Springer, 2014. https://www.researchgate.net/publication/263540490_Implementation_of_Emotional-Aware_Computer_Systems_Using_Typical_Input_Devices
- Fabrizio Balducci, Donato Impedovo, Nicola Macchiarulo, and Giuseppe Pirlo. Affective states recognition through touch dynamics. Multimedia Tools and Applications, 79(47):35909–35926, 2020. https://dl.acm.org/doi/10.1007/s11042-020-09146-4
- Samit Bhattacharya. A linear regression model to detect user emotion for touch input interactive systems. In 2015 International conference on affective computing and intelligent interaction (ACII), pages 970–975. IEEE, 2015. https://dl.acm.org/doi/10.1109/ACII.2015.7344693
- Michael Dela Fuente, Carlo Inovero, and Larry Vea. Emotion recognition through accelerometer and gyroscope sensors: A pilot study. In Novel & Intelligent Digital Systems Conferences, pages 316–326. Springer, 2023. https://www.researchgate.net/publication/374132504_Emotion_Recognition_Through_Accelerometer_and_Gyroscope_Sensors_A_Pilot_Study
- Marc Exposito, Javier Hernandez, and Rosalind W Picard. Affective keys: Towards unobtrusive stress sensing of smartphone users. In proceedings of the 20th international conference on humancomputer interaction with Mobile devices and services adjunct, pages 139–145, 2018. https://dl.acm.org/doi/10.1145/3236112.3236132
- Yuan Gao, Nadia Bianchi-Berthouze, and Hongying Meng. What does touch tell us about emotions in touchscreen-based gameplay? ACM Transactions on Computer-Human Interaction (TOCHI), 19(4):1–30, 2012. https://dl.acm.org/doi/10.1145/2395131.2395138
- Jiawen Han, George Chernyshov, Dingding Zheng, Peizhong Gao, Takuji Narumi, Katrin Wolf, and Kai Kunze. Sentiment pen: Recognizing emotional context based on handwriting features. In Proceedings of the 10th Augmented Human International Conference 2019, pages 1–8, 2019. https://dl.acm.org/doi/10.1145/3311823.3311868
- Hyun-Jun Kim and Young Sang Choi. Exploring emotional preference for smartphone applications. In 2012 IEEE consumer communications and networking conference (CCNC), pages 245–249. IEEE, 2012. https://www.researchgate.net/publication/241628411_Exploring_emotional_preference_for_smartphone_applications
- Agata Kołakowska, Wioleta Szwoch, and Mariusz Szwoch. A review of emotion recognition methods based on data acquired via smartphone sensors. Sensors, 20(21):6367, 2020. https://pubmed.ncbi.nlm.nih.gov/33171646/
- Yee Mei Lim, Aladdin Ayesh, and Martin Stacey. Exploring direct learning instruction and external stimuli effects on learner’s states and mouse/keystroke behaviours. In 2016 4th International Conference on User Science and Engineering (i-USEr), pages 161–166. IEEE, 2016. https://www.researchgate.net/publication/313870611_Exploring_direct_learning_instruction_and_external_stimuli_effects_on_learner's_states_and_mousekeystroke_behaviours
- Theresa M Nguyen, Alex D Leow, and Olusola Ajilore. A review on smartphone keystroke dynamics as a digital biomarker for understanding neurocognitive functioning. Brain Sciences, 13(6):959, 2023. https://pubmed.ncbi.nlm.nih.gov/37371437/
- A Ntracha, D Iakovakis, S Hadjidimitriou, VS Charisis, M Tsolaki, and LJ Hadjileonti-adis. Detection of mild cognitive impairment through natural language and touchscreen typing processing. front digit health. 2020; 2: 567158. https://pubmed.ncbi.nlm.nih.gov/34713039/
- Orestis Piskioulis, Katerina Tzafilkou, and Anastasios Economides. Emotion detection through smartphone’s accelerometer and gyroscope sensors. In Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, pages 130–137, 2021. https://dl.acm.org/doi/10.1145/3450613.3456822
- Sachin Shah, J Narasimha Teja, and Samit Bhattacharya. Towards affective touch interaction: predicting mobile user emotion from finger strokes. Journal of Interaction Science, 3:1–15, 2015. https://www.researchgate.net/publication/284126768_Towards_affective_touch_interaction_predicting_mobile_user_emotion_from_finger_strokes
- Matthias Trojahn, Florian Arndt, Markus Weinmann, and Frank Ortmeier. Emotion recognition through keystroke dynamics on touchscreen keyboards. In International Conference on Enterprise Information Systems, volume 2, pages 31–37. SCITEPRESS, 2013. https://www.researchgate.net/publication/257603545_Emotion_Recognition_Through_Keystroke_Dynamics_on_Touchscreen_Keyboards
- Rafael Wampfler, Severin Klingler, Barbara Solenthaler, Victor R Schinazi, Markus Gross, and Christian Holz. Affective state prediction from smartphone touch and sensor data in the wild. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, pages 1–14, 2022. https://dl.acm.org/doi/abs/10.1145/3491102.3501835
- Liying Yang and Sheng-Feng Qin. A review of emotion recognition methods from keystroke, mouse, and touchscreen dynamics. Ieee Access, 9:162197–162213, 2021.https://www.researchgate.net/publication/356702119_A_Review_of_Emotion_Recognition_Methods_From_Keystroke_Mouse_and_Touchscreen_Dynamics
- William J Fleming. Employee well-being outcomes from individual-level mental health interventions: Cross-sectional evidence from the united kingdom. Industrial Relations Journal, 55(2):162–182, 2024. https://onlinelibrary.wiley.com/doi/10.1111/irj.12418
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