{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T17:13:39Z","timestamp":1768410819359,"version":"3.49.0"},"reference-count":10,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2022,7,21]],"date-time":"2022-07-21T00:00:00Z","timestamp":1658361600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["GetMobile: Mobile Comp. and Comm."],"published-print":{"date-parts":[[2022,7,21]]},"abstract":"<jats:p>Micro-learning [1], cognitive training, and even memory training [2] are a few examples of applications that have been made easier-to-use and more available with mobile, wearable, and ubiquitous technologies. Many of them are also presented through conversational interfaces. Current systems for learning and training focus on providing prompts via notifications to start the training sessions at times when we are available. They use timebased or activity-based reminders to prompt us to engage in the notified tasks, be it learning a new word or playing a cognition-enhancing game. A key challenge is that a well-timed prompt may not be effective if the user is not cognitively available to engage in the intervention [3]. Prompto [4] is a mobile system that opportunistically provides prompts when users are cognitively available: during moments of lowered cognitive load and emotional arousal; these are likely during calm and idle moments. At these moments, we are possibly more receptive to learning and remembering.<\/jats:p>","DOI":"10.1145\/3551670.3551681","type":"journal-article","created":{"date-parts":[[2022,7,26]],"date-time":"2022-07-26T04:06:13Z","timestamp":1658808373000},"page":"34-38","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Prompto"],"prefix":"10.1145","volume":"26","author":[{"given":"Samantha W.T.","family":"Chan","sequence":"first","affiliation":[{"name":"Augmented Human Lab, University of Auckland, Auckland, New Zealand"}]},{"given":"Shardul","family":"Sapkota","sequence":"additional","affiliation":[{"name":"Augmented Human Lab, University of Auckland, Auckland, New Zealand"}]},{"given":"Rebecca","family":"Mathews","sequence":"additional","affiliation":[{"name":"Augmented Human Lab, University of Auckland, Auckland, New Zealand"}]},{"given":"Haimo","family":"Zhang","sequence":"additional","affiliation":[{"name":"Augmented Human Lab, University of Auckland, Auckland, New Zealand"}]},{"given":"Suranga","family":"Nanayakkara","sequence":"additional","affiliation":[{"name":"Augmented Human Lab, University of Auckland, Auckland, New Zealand"}]}],"member":"320","published-online":{"date-parts":[[2022,7,25]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Proceedings of the ACM International Conference on Human-Computer Interaction with Mobile Devices and Services, Article 28","author":"Dingler T.","unstructured":"T. Dingler , D. Weber , M. Pielot , J. Cooper , C. Chang , and N. Henze . 2017. Language learning on-thego: Opportune moments and design of mobile microlearning sessions . Proceedings of the ACM International Conference on Human-Computer Interaction with Mobile Devices and Services, Article 28 . T. Dingler, D. Weber, M. Pielot, J. Cooper, C. Chang, and N. Henze. 2017. Language learning on-thego: Opportune moments and design of mobile microlearning sessions. Proceedings of the ACM International Conference on Human-Computer Interaction with Mobile Devices and Services, Article 28."},{"key":"e_1_2_1_2_1","volume-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 3, 3, Article 77","author":"Chan S.","unstructured":"S. Chan , T. Buddhika , H. Zhang , and S. Nanayakkara . 2019. ProspecFit: In situ evaluation of digital prospective memory training for older adults . Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 3, 3, Article 77 . S. Chan, T. Buddhika, H. Zhang, and S. Nanayakkara. 2019. ProspecFit: In situ evaluation of digital prospective memory training for older adults. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 3, 3, Article 77."},{"key":"e_1_2_1_3_1","volume-title":"Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing, 909--920","author":"Sarker H.","unstructured":"H. Sarker , M. Sharmin , A. Ali , Md. M. Rahman , R. Bari , S. Hossain , and S. Kumar . 2014. Assessing the availability of users to engage in just-in-time intervention in the natural environment . Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing, 909--920 . H. Sarker, M. Sharmin, A. Ali, Md. M. Rahman, R. Bari, S. Hossain, and S. Kumar. 2014. Assessing the availability of users to engage in just-in-time intervention in the natural environment. Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing, 909--920."},{"key":"e_1_2_1_4_1","volume-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4, 4, Article 121","author":"Chan S.","unstructured":"S. Chan , S. Sapkota , R. Mathews , H. Zhang , and S. Nanayakkara . 2020. Prompto: Investigating receptivity to prompts based on cognitive load from memory training conversational agent . Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4, 4, Article 121 . S. Chan, S. Sapkota, R. Mathews, H. Zhang, and S. Nanayakkara. 2020. Prompto: Investigating receptivity to prompts based on cognitive load from memory training conversational agent. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4, 4, Article 121."},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijcci.2019.04.002"},{"key":"e_1_2_1_6_1","volume-title":"Extended Abstracts of the ACM CHI Conference on Human Factors in Computing Systems, 1--7.","author":"Chan S.","year":"2020","unstructured":"S. Chan . 2020 . Biosignal-sensitive memory improvement and support systems. 2020 . Extended Abstracts of the ACM CHI Conference on Human Factors in Computing Systems, 1--7. S. Chan. 2020. Biosignal-sensitive memory improvement and support systems. 2020. Extended Abstracts of the ACM CHI Conference on Human Factors in Computing Systems, 1--7."},{"key":"e_1_2_1_7_1","volume-title":"Extended Abstracts of the ACM CHI Conference on Human Factors in Computing Systems, 2651--2656","author":"Shi Y.","unstructured":"Y. Shi , N. Ruiz , R. Taib , E. Choi , and F. Chen . 2007. Galvanic skin response (GSR) as an Index of cognitive load . Extended Abstracts of the ACM CHI Conference on Human Factors in Computing Systems, 2651--2656 . Y. Shi, N. Ruiz, R. Taib, E. Choi, and F. Chen. 2007. Galvanic skin response (GSR) as an Index of cognitive load. Extended Abstracts of the ACM CHI Conference on Human Factors in Computing Systems, 2651--2656."},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.3389\/fpubh.2017.00258"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12160-009-9101-z"},{"key":"e_1_2_1_10_1","volume-title":"ACM Augmented Human International Conference.","author":"Chan S.","unstructured":"S. Chan , H. Zhang , and S. Nanayakkara . 2019. Prospero: A personal wearable memory coach . ACM Augmented Human International Conference. S. Chan, H. Zhang, and S. Nanayakkara. 2019. Prospero: A personal wearable memory coach. ACM Augmented Human International Conference."}],"container-title":["GetMobile: Mobile Computing and Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3551670.3551681","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3551670.3551681","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:00Z","timestamp":1750182540000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3551670.3551681"}},"subtitle":["Cognition-Aware Prompts with Conversational Interfaces Using Physiological Signals"],"short-title":[],"issued":{"date-parts":[[2022,7,21]]},"references-count":10,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2022,7,21]]}},"alternative-id":["10.1145\/3551670.3551681"],"URL":"https:\/\/doi.org\/10.1145\/3551670.3551681","relation":{},"ISSN":["2375-0529","2375-0537"],"issn-type":[{"value":"2375-0529","type":"print"},{"value":"2375-0537","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,21]]},"assertion":[{"value":"2022-07-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}