Conference proceeding
Toward personalized and context-aware prompting for smartphone-based intervention
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Vol.2016-, pp.6010-6013
08/2016
Handle:
https://hdl.handle.net/2376/106869
PMID: 28269622
Abstract
Intervention strategies can help individuals with cognitive impairment to increase adherence to instructions, independence, and activity engagement and reduce errors on everyday instrumental activities of daily living (IADLs) and caregiver burden. However, to be effective, intervention prompts should be given at a time that does not interrupt other important user activities and is more convenient. In this paper, we propose an intelligent personalized intervention system for smartphones. In our approach, we use context and activity awareness to time prompts when they will most likely be viewed and used. Our result based on real data collected using smartphone motion sensors demonstrate that the proposed approach can detect the time-frame of a user response with an average accuracy of 65% and reduce the inefficiency by 39%, on average, compared to different static time interventions which shows the possibilities and advantages of the proposed system to increase user satisfaction and response rate.
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Details
- Title
- Toward personalized and context-aware prompting for smartphone-based intervention
- Creators
- Ramin Fallahzadeh - Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USASamaneh Aminikhanghahi - Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USAAshley Nichole Gibson - Dept. of Psychol., Washington State Univ., Pullman, WA, USADiane J Cook - Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
- Publication Details
- 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Vol.2016-, pp.6010-6013
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Publisher
- IEEE
- Identifiers
- 99900546887701842
- Language
- English
- Resource Type
- Conference proceeding