ProspecFit digitises the implementation intentions method, an effective lab-based memory technique, to make it available on smartphones through iterative design. The project draws insights from a focus group and preliminary studies. ProspecFit has been evaluated with 10 adults (61 to 80 years old) through 12-day in situ testing as well as pre- and post-testing.

Participants in the digital prospective memory training group were more prompt in performing the in situ prospective memory tasks, compared to the control group without digital training, and reported improvement in their prospective memory compared to before the training.

This work was published in Proceedings of ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) in September 2019 and presented in Ubicomp 2019.

PUBLICATIONS

Biosignal-Sensitive Memory Improvement and Support Systems

Chan, S. W. T. 2020. Biosignal-Sensitive Memory Improvement and Support Systems. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–7.

ProspecFit: In Situ Evaluation of Digital Prospective Memory Training for Older Adults

Chan, S. W. T., Buddhika, T., Zhang, H. and Nanayakkara, S. C., 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), pp.1-20.

ProspecFit

ProspecFit digitises the implementation intentions method, an effective lab-based memory technique, to make it available on smartphones through iterative design. The project draws insights from a focus group and preliminary studies. ProspecFit has been evaluated with 10 adults (61 to 80 years old) through 12-day in situ testing as well as pre- and post-testing.

Participants in the digital prospective memory training group were more prompt in performing the in situ prospective memory tasks, compared to the control group without digital training, and reported improvement in their prospective memory compared to before the training.

This work was published in Proceedings of ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) in September 2019 and presented in Ubicomp 2019.

PUBLICATIONS

Biosignal-Sensitive Memory Improvement and Support Systems

Chan, S. W. T. 2020. Biosignal-Sensitive Memory Improvement and Support Systems. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–7.

ProspecFit: In Situ Evaluation of Digital Prospective Memory Training for Older Adults

Chan, S. W. T., Buddhika, T., Zhang, H. and Nanayakkara, S. C., 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), pp.1-20.

ProspecFit digitises the implementation intentions method, an effective lab-based memory technique, to make it available on smartphones through iterative design. The project draws insights from a focus group and preliminary studies. ProspecFit has been evaluated with 10 adults (61 to 80 years old) through 12-day in situ testing as well as pre- and post-testing.

Participants in the digital prospective memory training group were more prompt in performing the in situ prospective memory tasks, compared to the control group without digital training, and reported improvement in their prospective memory compared to before the training.

This work was published in Proceedings of ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) in September 2019 and presented in Ubicomp 2019.

PUBLICATIONS

Biosignal-Sensitive Memory Improvement and Support Systems

Chan, S. W. T. 2020. Biosignal-Sensitive Memory Improvement and Support Systems. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–7.

ProspecFit: In Situ Evaluation of Digital Prospective Memory Training for Older Adults

Chan, S. W. T., Buddhika, T., Zhang, H. and Nanayakkara, S. C., 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), pp.1-20.

ProspecFit

ProspecFit digitises the implementation intentions method, an effective lab-based memory technique, to make it available on smartphones through iterative design. The project draws insights from a focus group and preliminary studies. ProspecFit has been evaluated with 10 adults (61 to 80 years old) through 12-day in situ testing as well as pre- and post-testing.

Participants in the digital prospective memory training group were more prompt in performing the in situ prospective memory tasks, compared to the control group without digital training, and reported improvement in their prospective memory compared to before the training.

This work was published in Proceedings of ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) in September 2019 and presented in Ubicomp 2019.

PUBLICATIONS

Biosignal-Sensitive Memory Improvement and Support Systems

Chan, S. W. T. 2020. Biosignal-Sensitive Memory Improvement and Support Systems. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–7.

ProspecFit: In Situ Evaluation of Digital Prospective Memory Training for Older Adults

Chan, S. W. T., Buddhika, T., Zhang, H. and Nanayakkara, S. C., 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), pp.1-20.