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Exploring temporal behaviour of app users completing ecological momentary assessments using mental health scales and mood logs.

, , , , , and . Behav. Inf. Technol., 38 (10): 1016-1027 (2019)

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Towards Validating a Chatbot Usability Scale., , , , , and . HCI (23), volume 14033 of Lecture Notes in Computer Science, page 321-339. Springer, (2023)Usability testing of a healthcare chatbot: Can we use conventional methods to assess conversational user interfaces?, , , , , and . ECCE, page 207-214. ACM, (2019)WeightMentor, bespoke chatbot for weight loss maintenance: Needs assessment & Development., , , , , and . BIBM, page 2845-2851. IEEE, (2019)Exploring temporal behaviour of app users completing ecological momentary assessments using mental health scales and mood logs., , , , , and . Behav. Inf. Technol., 38 (10): 1016-1027 (2019)Explainable Artificial Intelligence for Falls Prediction., , , , and . ICACDS, volume 1244 of Communications in Computer and Information Science, page 76-84. Springer, (2020)A Virtual Reality Training Tool to Improve Weight-Related Communication Across Healthcare Settings., , , , and . ECCE, page 19-22. ACM, (2019)Combining deep residual neural network features with supervised machine learning algorithms to classify diverse food image datasets., , , and . Comput. Biol. Medicine, (2018)A digital technology framework to optimise the self-management of obesity., , , and . UbiComp Adjunct, page 1126-1131. ACM, (2016)Using Machine Learning Algorithms to Predict the Likelihood of Recurrent Falls in Older Adults., , , , and . MLDM (1), page 392-396. ibai Publishing, (2019)Is there an Optimal Technology to Provide Personal Supportive Feedback in Prevention of Obesity?, , , , , , , , , and . BIBM, page 1-6. IEEE, (2019)