davidjohnpaul.com - research

sat2025 - created

david@undisclosed.example.com (david) — Sun, 09 Nov 2025 22:49:04 +0000

Dual-Task Multi-Species Network Design and Training Using Advanced Augmentation Techniques

Ford, J., Sadgrove, E., Paul, D. “Dual-Task Multi-Species Network Design and Training Using Advanced Augmentation Techniques”, Smart Agricultural Technology, 2025.

Abstract

Accurate weed localization in pasture environments is essential for effective site-specific weed management (SSWM). This study evaluates two dual-task convolutional neural networks (CNNs) - a truncated ConvNeXt (tCN) and a truncated UniStemNet (tUSN) - for simultaneous plant segmentation and spraypoint detection across four weed species in south-east Australian pastures. To assess model performance, two testing regimes were used: a pooled test, where all images were randomly split for training and validation, and condition-invariance tests, in which models were trained and evaluated on entirely separate groups of images collected under different environmental conditions. Four data augmentation strategies were compared, including advanced image blending techniques CutMix and MixUp, which had not previously been explored in this domain. In the pooled test, the tUSN model achieved a mean Intersection over Union (mIU) of up to 0.897 for plant segmentation, while the tCN model reached an F1-score of 0.880 for spraypoint detection. Under condition-invariance testing, CutMix augmentation provided the most consistent generalization, with mIU values up to 0.897 for plant segmentation, and F1-scores up to 0.954 for spraypoint detection. HistMatch normalization assisted with model generalization in weaker augmentation setups. These findings demonstrate that advanced augmentation and normalization strategies are critical for achieving robust CNN-based weed detection across diverse real-world field conditions.

Journal

Smart Agricultural Technology

research

david@undisclosed.example.com (david) — Sun, 09 Nov 2025 22:47:51 +0000

Research

My research interests are mostly in the areas of the Internet, Cloud computing, networking, and security and privacy. However I am also interested in many areas of applied computer science, including e-Health, agriculture, sports science, business, and education.

Please get in touch (David.Paul@une.edu.au) if you'd like me to be involved in a project in these areas (if you would like me to supervise you for a research degree please read this first). Please also see my Google Scholar profile.

Grants

University of New England SABL Teaching & Learning Grant, $9,967. Development of Labs to Support Teaching and Learning Activities for Cybersecurity Training. With Tupakula, Brankovic, Billingsley, and Gaywood (2023)
University of New England SABL Teaching & Learning Grant, $9,971. Creating and Developing Repository of Industry Partners for Cybersecurity and Computer Science Units and Projects. With Sadgrove, Brankovic, Tupakula, and Wysel (2023)
Australian Council of Deans of Information & Communications Technology, $16,000. Technical and Educational Guidelines for Personalising Assessments through Assessment-as-Learning in Cybersecurity. With Sakzad, Sheard, Brankovic, Skerritt, Li, Billingsley, and Simon (2022-2023)
SheepCRC, $496,087. Livestock Research Database. With Kwan and Billingsley, (2015-2016)
SheepCRC, $667,408. Livestock App Building. With Kwan and Billingsley (2015-2016)
NeCTAR, $687,980. Extension and Enhancement of Systems for the Australian Schizophrenia Research Bank (ASRB). With Henskens, Loughland, McCabe, Bridge, Carr, and Duffy (2012)

Peer-reviewed Publications

Ford, J., Sadgrove, E., Paul, D. "Dual-Task Multi-Species Network Design and Training Using Advanced Augmentation Techniques", Smart Agricultural Technology, 2025.
Hasan, A. B. M. M., Brankovic, L., Paul, D., and Sanin, C. "A Systematic Literature Review on Cybersecurity Ontology", Procedia Computer Science, 270, 2025.
Alharbi, N., Ud Din, F., Paul, D., and Sadgrove, E. "Driving AI Chatbot Adoption: A Systematic Review of Factors, Barriers, and Future Research Directions", Journal of Open Innovation: Technology, Market, and Complexity, 11(3), 2025.
Billingsley, W., Brankovic, L., Li, N., Paul, D., Sakzad, A., Skerritt, M. P., and Sheard, J. Diverging Assessment: A Student Perspective, the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 1 (ITiCSE 2025), June 2025.
Ford, J., Sadgrove, E., Paul, D. "Joint plant-spraypoint detector with ConvNeXt modules and HistMatch normalization", Precision Agriculture, 26(24), 2025.
Tori, M., Paul, D., Billingsley, W. "Using a Memetic Algorithm to Discover Secure S-Boxes", Innovative Technologies in Intelligent Systems and Industrial Applications, Lecture Notes in Electrical Engineering, vol 117, 2024.
Van der Merwe, A., Paul, D., Schmalz, J., Schaerf, T. "Keyed S-boxes from sponge functions", Journal of Discrete Mathematical Sciences and Cryptography, 27(8), 2241–2254, 2024.
Cummins, C., Charlton, G., Buxton, S., Shorter, K., Paul, D., Murphy, A. "Need a break? The locomotor and tackle pacing profile and loads of women’s rugby league match-play following various between-match turnaround durations", Science and Medicine in Football, Vol. 1, No. 14, 2024.
Kurdi, M. H., Denden, M., Paul, D. "A Study on the Challenges of Human-Centric Cyber-Security and the Guarantee of Information Quality", Journal of Information Security, Vol 15, No 2, 2024.
Balogh, M., Billingsley, W., Paul, D., Kennan, M.A., Robertson-Dean, M. "Practices and pain points in personal records", Information Research, Vol 29, No 1, 2024.
Sakzad, A., Paul, D., Sheard, J., Brankovic, L., Skerritt, M. P., Li, N., Minagar, S., Simon, Billingsley, W. "Diverging assessments: What, Why, and Experiences", SIGCSE 2024: Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1, March 2024.
Wiltshire, I., Adapa, S., Paul, D. "Pandemic Speed: Accelerating Innovation in Cyber Security", In Adapa, S., McKeown, T., Lazaris, M., Jurado, T. (eds) Small and Medium-sized Enterprises, and Business Uncertainty. Palgrave Studies in Global Entrepreneurship. Palgrave Macmillan, Singapore, 2023.
Tori, M., Paul, D., Billingsley, W. "Using A Memetic Algorithm to Discover Secure S-Boxes", Conference on Innovative Technologies in Intelligent Systems & Industrial Applications (CITISIA2023), 2023.
Van der Merwe, A., Paul, D., Schmalz, J., Schaerf, T. "An examination of the security of the TR-31 and AS 2805 schemes", Journal of Discrete Mathematical Sciences and Cryptography, 26(6), 1761–1771, 2023.
Ford, J., Sadgrove, E., Paul, D. "Developing an extreme learning machine based approach to weed segmentation in pastures", Smart Agricultural Technology, 2023.
Ud Din, F., Paul, D. "Demystifying xAOSF/AOSR framework in the context of Digital Twin and Industry 4.0", Intelligent Systems and Applications (IntelliSys 2022), Lecture Notes in Networks and Systems, vol 544, 2023.
Cummins, C., Charlton, G., Paul, D., Buxton, S., Murphy, A. "How fast is fast? Defining Velocity Zones in Women’s Rugby League", Science and Medicine in Football, Vol. 7, No. 2, 2023.
Cummins, C., Charlton, G., Paul, D., Murphy, A. "Changing gears: data-driven velocity zones to support monitoring and research in men’s rugby league", Science and Medicine in Football, 2022.
Ud Din, F., Paul, D., Henskens, F., Wallis, M., Hashmi, M. "AOSR: An Agent Oriented Storage and Retrieval WMS planner for SMEs, associated with AOSF framework, under Industry 4.0", International Journal of Applied Decision Sciences, Vol. 15, No. 5, 2022.
Abed-alguni, B., Alawad, N., Al-Betar, M. A., Paul, D., "Opposition-based Sine Cosine Optimizer Utilizing Refraction Learning and Variable Neighborhood Search for Feature Selection", Applied Intelligence 2022.
Alghamdi, A., Paul, D., Sadgrove, E., "Designing a RESTful Northbound Interface for Incompatible Software Defined Network Controllers", SN Computer Science, 3(502), 2022.
Balogh, M., Billingsley, W., Paul, D., Kennan, M.A. "Attributes of Personal Electronic Records", Archives & Manuscripts, 50(1), pp 47-70, 2022.
Schmalz, J., Paul, D., Shorter, K., Schmalz, X., Cooper, M., Murphy, A. "Modelling human gait using a nonlinear differential equation", 16th Australasian Conference on Mathematics and Computers in Sport (Mathsport 2022), 2022.
Balogh, M., Billingsley, W., Paul, D., Kennan, M.A. "Understanding the management of personal records at home: A virtual guided tour", Information Research, 27(2), paper 926, 2022.
Tori, M., Paul, D., Billingsley, W. "Considerations When Designing Sponge-based Extendable-Output Functions for Lightweight and Mobile Devices", The Eighteenth International Conference on Wireless and Mobile Communications (ICWMC), 2022.
Abed-alguni, B., Paul, D., Hammad, R. "Improved Salp Swarm Algorithm for Solving Single-objective Continuous Optimization Problems", Applied Intelligence, 2022.
Abed-alguni, B., Paul, D. "Island-based Cuckoo Search with Elite Opposition-based Learning and Multiple Mutation Methods for Solving Optimization Problems", Soft Computing, 2022.
H.K., J., Henskens, F., Paul, D., Wallis, M. "Formal Specification at Model-Level of Model-Driven Engineering using Modelling Techniques", International Journal of Computer Applications in Technology, 67(4), 2021.
Shojaeipour, A., Falzon, G., Kwan, P., Hadavi, N., Cowley, F.C., Paul, D. "Automated Muzzle Detection and Biometric Identification via Few-Shot Deep Transfer Learning of Mixed Breed Cattle", Agronomy, 11(11), 2365, November 2021.
Alghamdi, A., Paul, D. and Sadgrove, E. "A RESTful Northbound Interface for Applications in Software Defined Networks", 17th International Conference on Web Information Systems and Technologies (WEBIST 2021), pp. 453-459, October 2021.
Cummins, C., Charlton, G., Paul, D., Shorter, K., Buxton, S., Caia, J., Murphy, A. "Women’s rugby league: Positional groups and peak locomotor demands ", Frontiers in Sports and Active Living, 3, 2021.
Ud Din, F., Paul, D., Ryan, J., Henskens, F., Wallis, M. "AOSR 2.0: A Novel Approach and Thorough Validation of Agent Oriented Storage and Retrieval WMS planner for SMEs, under Industry 4.0", Future Internet, 13(6), 155, June 2021.
Ud Din, F., Paul, D., Henskens, F., Wallis, M. "Conceptualised Visualisation of Extended Agent Oriented Smart Factory (xAOSF) framework with associated AOSR-WMS system", Journal of Software, 16(4), 2021.
Din F.U., Paul D., Ryan J., Henskens F., Wallis M. "Revitalising and Validating the Novel Approach of xAOSF Framework Under Industry 4.0 in Comparison with Linear SC" In Jezic G., Chen-Burger J., Kusek M., Sperka R., Howlett R., Jain L. (eds) Agents and Multi-Agent Systems: Technologies and Applications 2020. Smart Innovation, Systems and Technologies, vol 186. Springer, Singapore, 2020.
HK, J., Jetley, R., Henskens, F., Paul, D., Wallis, M., SD, S. "Multi-Level Analysis of IEC 61131-3 Languages to Detect Clones", International Journal of Computer Applications in Technology, October 2020.
Ud Din, F., Paul, D., Ryan, J., Henskens, F., Wallis, M. "Validating Time Efficiency of AOSR 2.0: A Novel WMS planner Algorithm for SMEs, under Industry 4.0", Journal of Software, 15(2), pp. 53-61, 2020.
Abed-alguni, B., Paul, D. "Hybridizing The Cuckoo Search Algorithm with Different Mutation operators for Numerical Optimization Problems", Journal of Intelligent Systems, Vol. 29 (Issue 1), pp. 1043-1062, 2020.
Guo, L, Wang, W., Kwan, P., Welch, M., Paul, D., Chen, G., Xu, B. "Advances in livestock behavior monitoring based on accelerometer motion sensor." Journal of Agricultural Science and Technology (Beijing) 21.3, pp.94-101, 2019.
HK, J., Jetley, R., Henskens, F., Paul, D., Wallis, M., SD, S. "Analysis of Industrial Control System Software to Detect Semantic Clones", International Conference on Industrial Technology (ICIT19), Melbourne, Australia, IEEE, February 2019.
Ud Din, F., Henskens, F., Paul, D., Wallis, M. "Formalisation of Problem and Domain Definition for Agent Oriented Smart Factory (AOSF)", IEEE TENSYMP 2018, Sydney, Australia, IEEE, July 2018.
Fitzgerald, P. T., Kahn, L. P., Shahinfar, S., Paul, D., Goodacre, M. Kemmis, L. S. "On Farm Validation of ASKBILL – A Sheep Wellbeing and Productivity Application for Australian Industry", Animal Production 2018: Fostering Innovation through the Value Chain, Wagga Wagga, Australia, July 2018.
Ud Din, F., Henskens, F., Paul, D., Wallis, M. "Agent-Oriented Smart Factory (AOSF): An MAS Based Framework for SMEs Under Industry 4.0", In Agents and Multi-Agent Systems: Technologies and Applications 2018 Proceedings of the 12th International Conference on Agents and Multi-Agent Systems: Technologies and Applications (KES-AMSTA-18). 44-54. Springer, May 2018 (Awarded Best Paper at conference).
Hk, J., Henskens, F., Paul, D., Wallis, M. "Clone Detection in Model-Based Development Using Formal Methods to Enhance Performance in Software Development", In 3rd International Conference for Convergence in Technology (I2CT), Pune, India, IEEE, April 2018.
Agarwal, N., Kwan, P., and Paul, D. "Behavioral merger and acquisition pricing: Application to Verizon mergers with AOL and Yahoo", Strategic Change, 27(1), pp. 9-22, January 2018.
Agarwal, N., Kwan, P., and Paul, D. "Merger and Acquisition Pricing using Agent Based Modelling", Economics, Management, and Financial Markets, 13(1), pp. 84-99, January 2018.
Shaw, A., Paul, D., Billingsley, W., Kwan, P., and Wilson, R. "Gamification in e-Mental Health: Development of a Digital Intervention addressing Severe Mental Illness and Metabolic Syndrome", IADIS International Conference on Internet Technologies & Society (ITS 2017), Sydney, Australia, IADIS, pp. 83-90, December 2017.
McCrabb, S., Bonevski, B., Balogh, Z., Baker, A., Harris, I. A., Attia, J., Lott, N., Naylor, J., Doran, C., George, J., Wolfenden, L., Wallis, M., Paul, D., Henskens, F., and Skelton, E. "Development of an online smoking cessation program for use in hospital and following discharge: Smoke-Free Recovery", BMJ Innovations, 3(2), March 2017.
Wallis, M., Henskens, F. A., Hannaford, M. and Paul, D. J. "Implementation and Evaluation of a Component-Based framework for Internet Applications", Information Technology in Industry, 5(1), pp. 16-23, March 2017.
Jnanamurthy HK, Henskens, F. A. and Paul, D. "Verification of Interactive Automated Air Traffic Control System in a Model Driven Approach", 2nd International Conference on Contemporary Computing and Informatics (IC3I 2016), December 2016.
Wilson, R. L., Paul, D., Kwan, P. W. H, Billingsley, W and Shaw, A. "MetaMood Phase Two: The software engineering of an Android app for a mental health e-health intervention using a novel gaming strategy" (abstract), IEPA10 Early Intervention in Mental Health, October 2016.
Wallis, M., Henskens, F. A., Paul, D., and Hannaford, M. "Implementation and Evaluation of a Component-Based framework for Internet Applications", 11th International Conference on Information Technology and Applications (ICITA2016), July 2016.
Abed-Alguni, B. H., Paul, D., Chalup, S. K., and Henskens, F. A. "A Comparison Study of Cooperative Q-learning Algorithms for Independent Learners", International Journal of Artificial Intelligence, 14:1, pp 71-93, March 2016.
Abed-Alguni, B. H., Chalup, S. K., Henskens, F. A., and Paul, D. "A Multi-Agent Cooperative Reinforcement Learning Model Using a Hierarchy of Consultants, Tutors and Workers", Vietnam Journal of Computer Science, 2:4, pp 213-226, November 2015.
Fradgley, E. A., Paul, C. L., Bryany, J., Roos, I. A. G., Henskens, F. A., and Paul, D. "Consumer Participation in Quality Improvements for Chronic Disease Care: Development and Evaluation of an Interactive Patient-centered Survey to Identify Preferred Service Initiatives", Journal of Medical Internet Research, December 2014.
Henskens, F. A., Paul, D., Wallis, M., Bryant, J., Carey, M., Fradgley, E., Koller, C. E., Paul, C. L., Sanson-Fisher, R. W., and Zucca, A. "How do Health Researchers Benefit from Web-based Survey Systems?", The 6th International Conference on e-Health, Lisbon, Portugal, IADIS, pp. 254-262, July 2014.
Paul, D., Henskens, F. A., Bryant, J., Smits, R., Sanson-Fisher, R.W., and Stevenson, W. "The Haematology Treatment Aid: Providing Personalized Information to Patients and Carers", The 6th International Conference on e-Health, Lisbon, Portugal, IADIS, pp. 372-376, July 2014.
Paul, D. and Henskens, F. A. "Engineering Flexible Service-Oriented Transactions", Lecture Notes in Business Information Processing (LNBIP), Volume 189, Springer-Verlag, pp 37-52, July 2014.
Henskens, F. A., Paul, D., Wallis, M., Bryant, J., Carey, M., Fradgley, E., Koller, C. E., Paul, C. L., Sanson-Fisher, R. W. and Zucca, A. "Web-based Support for Population-based Medical Research - Presenting the QuON Survey System", The 7th International Conference on Health Informatics (HealthInf14), Angers, France, INSTICC, March 2014.
Paul, D., Henskens, F. A. and Bridge, J. "Improving the Australian Schizophrenia Research Bank", eResearch Australasia (eRes2013), Brisbane, Australia, 2013.
Paul, D., Wallis, M., Henskens, F. A. and Nolan, K. "QuON - A Generic Platform for the Collation and Sharing of Web Survey Data", The 9th International Conference on Web Information Systems and Technologies (WEBIST2013), Aachen, Germany, INSTICC, pp. 111-116, May 2013.
Paul, D., Henskens, F. A. and Hannaford, M. R. "Dynamic Transactional Workflows In Service-Oriented Environments", The 9th International Conference on Web Information Systems and Technologies (WEBIST2013), Aachen, Germany, INSTICC, pp. 26-36, May 2013.
Paul, D., Henskens, F.A., Loughland, C., McCabe, K., Bridge, J., Duffy, L., Carr, V., Catts, S., Jablensky, A., Michie, P., Mowry, B., Pantelis, P., Schall, U., and Scott, R.J. "Issues Preventing the Migration of the Australian Schizophrenia Research Bank to The Cloud", IADIS International Conference on Internet Technologies & Society (ITS 2012), Perth, Australia, IADIS, pp. 305-308, November 2012.
Paul D., "Deliberate Cooperation in Service-Oriented Environments: Dynamic Transactional Workflows for Web Services", PhD thesis, University of Newcastle, Australia, 2012.
Henskens, F.A., Paul, D., Loughland, C., Bridge, J., McCabe, K., Catts, S., Jablensky, A., Michie, P., Mowry, B., Pantelis, P., Schall, U., Tooney, P., Duffy, L. and Carr, V. "The Australian Schizophrenia Research Biobank (ASRB): IT development and management of a live e-research system", Schizophrenia Research 136(Supplement 1), Elsevier, pp. S250, 2012.
Paul, D. Henskens, F.A. Loughland C.M., Bridge, J., McCabe K., Carr, V.J., Catts, S.V., Jablensky, A., Michie, P.T., Mowry, B.J., Pantelis, C., Schall, U. and Scott, R.J., "IT Development and Management of a Live e-Research System: Experiences with the Australian Schizophrenia Research Bank", The 5th International Conference on Health Informatics (HealthInf2012), Vilamoura, Portugal, INSTICC, pp. 125-130, February 2012.
Alharbi, A., Paul, D., Henskens, F. A. and Hannaford, M. R. "An Investigation into the Learning Styles and Self-Regulated Learning Strategies for Computer Science Students", Changing Demands, Changing Directions. ascilite, pp. 36-46, December 2011.
Paul, D., Henskens, F. A. and Hannaford, M. R. "Simulating Web Services Transactions", Web Services Principles & Applications (WSPA) at 7th International Conference on Web Information Systems and Technologies (WEBIST2011), Noordwijkerhout, The Netherlands, INSTICC/ACM-SIGMIS, pp. 615-623, May 2011.
Henskens, F., Carr, V., Catts, S., Jablensky, A., Michie, P., Loughland, C., McCabe, K., Mowry, B., Nasir, A., Pantelis, C., Rasser, P., Paul, D., Richards, J., Schall, U. and Scott, R. "The Australian Schizophrenia Research Bank (ASRB): An example of eResearch", Schizophrenia Research Society Congress, Florence, Italy, April 2010.
Paul, D., Henskens, F. A. and Hannaford, M. R. "Per-request Contracts for Web Services Transactions", The 6th International Conference on Web Information Systems & Technologies (WEBIST2010), Valencia, Spain, INSTICC, pp. 81-88, April 2010.
Henskens, F. A., Carr, V. J., Catts, S. V., Jablensky, A., Michie, P. T., Loughland, C. M., Mowry, B. J., Nasir, A., Pantelis, C., Paul, D., Rasser, P., Richards, J. M., Schall, U. and Scott, R. J., "An Example of eResearch: The Australian Schizophrenia Research Bank", eResearch Australasia (ERes2009), Sydney, Australia, November 2009.
Wallis, M., Paul, D., Henskens, F. A. and Hannaford, M. R. "Web Browser Transactionality", The 5th International Conference on Web Information Systems & Technologies (WEBIST2009), Lisbon, Portugal, INSTICC, pp. 93-100, March 2009.
Henskens, F. A., Loughland, C. M., Aphale, M. S., Paul, D., Richards, J. M., Rasser, P., Carr, V. J., Catts, S. V., Jablensky, A., Michie, P. T., Mowry, B. J., Pantelis, C., Schall, U. and Scott, R. J. "IT Support for the Australian Schizophrenia Research Bank", The 2nd International Conference on Health Informatics (HealthInf2009), Porto, Portugal, INSTICC, pp. 405-410, January 2009.
Paul, D., Wallis, M., Henskens, F. A. and Hannaford, M. R. "Transaction Support for Interactive Web Applications", The 4th International Conference on Web Information Systems & Technologies (WEBIST2008), Funchal-Madeira, Portugal, INSTICC, May 2008.
Paul, D., Henskens, F. A. and Hannaford, M. R. "Isolation and Web Services Transactions", The 8th International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'07), Adelaide, Australia, December 2007.
Paul, D., Henskens, F.A., Johnston, P. and Hannaford, M.R. "Portal-based Support for Mental Health Research", Grid Computing Environments Workshop (GCE), Supercomputing SC06, IEEE Computer Society and ACM, Tampa, Florida, November 2006.

kes2025 - created

david@undisclosed.example.com (david) — Sun, 09 Nov 2025 22:43:51 +0000

A Systematic Literature Review on Cybersecurity Ontology

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Hasan, A. B. M. M., Brankovic, L., Paul, D., and Sanin, C. “A Systematic Literature Review on Cybersecurity Ontology”, Procedia Computer Science, 270, 2025.

Abstract

Nowadays, organisations in various industries are required to have sustainable planning and implementation of cybersecurity frameworks, where communication, analysis, and responses are crucial for various stakeholders, including cybersecurity experts, supply chain partners, and customers. The cybersecurity domain is a complex area with a very involved terminology and encompasses numerous security mechanisms to provide security services, which in turn thwart attacks and protect data and other resources. Unfortunately, there are significant inconsistencies and ambiguities in the use of cybersecurity terminology across the sector, and this hinders communication among cybersecurity professionals. In this paper, we review the most significant existing cybersecurity ontology studies with the help of a refined search strategy, data management, and continuous evaluation. This Systematic Literature Review identifies knowledge gaps and a need for a new cybersecurity ontology focusing on mapping standard terms and identifying semantic equivalences to leverage current ontologies and support practical applications.

Journal

Procedia Computer Science

joitmc2025 - created

david@undisclosed.example.com (david) — Tue, 15 Jul 2025 05:02:57 +0000

Driving AI Chatbot Adoption: A Systematic Review of Factors, Barriers, and Future Research Directions

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Alharbi, N., Ud Din, F., Paul, D., and Sadgrove, E. “Driving AI Chatbot Adoption: A Systematic Review of Factors, Barriers, and Future Research Directions”, Journal of Open Innovation: Technology, Market, and Complexity, 11(3), 2025.

Abstract

Adopting AI chatbots has gained significant momentum across various industries due to advancements in artificial intelligence. Despite their potential, AI chatbot adoption remains a complex process affected by numerous factors that are not fully understood. This systematic review seeks to identify and categorize the factors influencing AI chatbot adoption, including drivers and impediments. Following the PRISMA guidelines, a comprehensive review process was conducted. From 459 publications collected via Web of Science and Scopus, 84 research articles meeting eligibility criteria were analyzed to provide insights into the determinants of adoption. This review systematically examines the theoretical models employed, geographic distribution, primary domains of study, methodologies, and key factors shaping adoption. Furthermore, the study outlines future research directions to guide advancements in this area. The findings contribute to theoretical understanding by synthesizing determinants like anthropomorphism, trust, and hedonic motivation and advocating for integrating underexplored frameworks and hybrid methodologies. Practical implications are provided for developers, marketers, and policymakers, emphasizing user-centric design, privacy protection, and sector-specific strategies. This review advances knowledge in AI chatbot adoption and offers actionable insights for successful implementation across diverse industries.

Journal

Journal of Discrete Mathematical Sciences and Cryptography

iticse25 - created

david@undisclosed.example.com (david) — Tue, 24 Jun 2025 05:04:26 +0000

Diverging Assessment: A Student Perspective

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Billingsley, W., Brankovic, L., Li, N., Paul, D., Sakzad, A., Skerritt, M. P., and Sheard, J. “Diverging Assessment: A Student Perspective”, the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 1 (ITiCSE 2025), June 2025.

Abstract

Diverging assessment maintains a common question set for all students but varies the input data so that each student has a unique problem to solve. It is an approach in student assessment that offers a unique and authentic learning experience. Although such assessments have been implemented in computing courses, their effectiveness and students' perceptions in different contexts remain unexplored. In this paper, we investigate student perspectives on diverging assessment. We surveyed students in four courses across three different universities. Each surveyed student was enrolled in one of the four courses on networking, operation systems, digital forensics or ethical hacking. Each course featured at least one diverging assessment. The students' overall perceptions about diverging assessments and three different aspects of diverging assessment, namely authenticity, assessment-as-learning, and academic integrity, are surveyed, reported, and analyzed.

Conference

The 30th ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE 2025)