The adoption analysis of voice-based smart IoT products D Pal, C Arpnikanondt, S Funilkul, W Chutimaskul IEEE Internet of Things Journal 7 (11), 10852-10867, 2020 | 88 | 2020 |
Usability evaluation of artificial intelligence-based voice assistants: The case of Amazon Alexa DS Zwakman, D Pal, C Arpnikanondt SN Computer Science 2 (1), 28, 2021 | 85 | 2021 |
User experience with smart voice assistants: The accent perspective D Pal, C Arpnikanondt, S Funilkul, V Varadarajan 2019 10th international conference on computing, communication and …, 2019 | 76 | 2019 |
A quantitative approach for evaluating the quality of experience of smart-wearables from the quality of data and quality of information: An end user perspective D Pal, V Vanijja, C Arpnikanondt, X Zhang, B Papasratorn IEEE Access 7, 64266-64278, 2019 | 50 | 2019 |
Analyzing the adoption and diffusion of voice-enabled smart-home systems: empirical evidence from Thailand D Pal, C Arpnikanondt, S Funilkul, MA Razzaque Universal Access in the Information Society 20, 797-815, 2021 | 48 | 2021 |
Personal information disclosure via voice assistants: the personalization–privacy paradox D Pal, C Arpnikanondt, MA Razzaque SN Computer Science 1, 1-17, 2020 | 45 | 2020 |
To trust or not-trust: privacy issues with voice assistants D Pal, C Arpnikanondt, MA Razzaque, S Funilkul IT professional 22 (5), 46-53, 2020 | 39 | 2020 |
The effect of trust and its antecedents towards determining users’ behavioral intention with voice-based consumer electronic devices D Pal, P Roy, C Arpnikanondt, H Thapliyal Heliyon 8 (4), 2022 | 38 | 2022 |
Quality of experience of smart-wearables: From fitness-bands to smartwatches D Pal, A Tassanaviboon, C Arpnikanondt, B Papasratorn IEEE Consumer Electronics Magazine 9 (1), 49-53, 2019 | 32 | 2019 |
The sweet escape to metaverse: Exploring escapism, anxiety, and virtual place attachment D Pal, C Arpnikanondt Computers in Human Behavior 150, 107998, 2024 | 28 | 2024 |
An integrated TAM/ISS model based PLS-SEM approach for evaluating the continuous usage of voice enabled IoT systems D Pal, C Arpnikanondt Wireless Personal Communications 119, 1065-1092, 2021 | 25 | 2021 |
A Platform-centric Approach to System-on-chip (SOC) Design V Madisetti, C Arpnikanondt Springer Science & Business Media, 2006 | 24 | 2006 |
Digital diagnosis of hand, foot, and mouth disease using hybrid deep neural networks S Verma, MA Razzaque, U Sangtongdee, C Arpnikanondt, ... IEEE Access 9, 143481-143494, 2021 | 22 | 2021 |
Principal component clustered factors for determining study performance in computer programming class U Ninrutsirikun, H Imai, B Watanapa, C Arpnikanondt Wireless Personal Communications 115, 2897-2916, 2020 | 14 | 2020 |
Meerkat: A framework for developing presence monitoring software based on face recognition P Assarasee, W Krathu, T Triyason, V Vanijja, C Arpnikanondt 2017 10th International Conference on Ubi-media Computing and Workshops (Ubi …, 2017 | 13 | 2017 |
VideoCLIP: an interactive CLIP-based video retrieval system at VBS2023 TN Nguyen, B Puangthamawathanakun, A Caputo, G Healy, BT Nguyen, ... International Conference on Multimedia Modeling, 671-677, 2023 | 11 | 2023 |
Voice usability scale: measuring the user experience with voice assistants DS Zwakman, D Pal, T Triyason, C Arpnikanondt 2020 IEEE International Symposium on Smart Electronic Systems (iSES …, 2020 | 10 | 2020 |
Effect of the Multiple Intelligences in multiclass predictive model of computer programming course achievement U Ninrutsirikun, B Watanapa, C Arpnikanondt, N Phothikit 2016 IEEE region 10 conference (TENCON), 297-300, 2016 | 10 | 2016 |
Hand, foot, and mouth disease in Thailand: a comprehensive modelling of epidemic dynamics S Verma, MA Razzaque, U Sangtongdee, C Arpnikanondt, ... Computational and Mathematical Methods in Medicine 2021 (1), 6697522, 2021 | 8 | 2021 |
Image recognition for detecting hand foot and mouth disease MF Aryan, W Krathu, C Arpnikanondt, B Tassaneetrithep Proceedings of the 11th International Conference on Advances in Information …, 2020 | 7 | 2020 |