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Context Awareness in a Handheld Exercise Agent.

Timothy W Bickmore¹, Daniel Mauer, Thomas Brown

¹Northeastern University College of Computer and Information Science, 360 Huntington Ave WVH202, Boston, MA 02115, ( bickmore@ccs.neu.edu , daniel@ccs.neu.edu ), brown.tho@neu.edu , http://www.ccs.neu.edu/research/rag/

Pervasive and Mobile Computing

|February 18, 2010

Summary

This summary is machine-generated.

A mobile health agent designed to boost physical activity showed mixed results. While context-aware technology enhanced user-agent bonding, it unexpectedly decreased walking behavior in participants.

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Area of Science:

Human-Computer Interaction
Digital Health
Behavioral Science

Background:

Automated health counselors have advanced, with mobility and context awareness offering new intervention possibilities.
Mobile health (mHealth) interventions leverage technology for health behavior change, particularly physical activity promotion.
Previous research highlights the potential of personalized, context-aware systems in health coaching.

Purpose of the Study:

To describe the development of a handheld health counseling agent for promoting physical activity.
To present a software architecture for rapidly designing and deploying mobile health counseling agents.
To evaluate the effectiveness of a mobile exercise coach in motivating increased walking behavior.

Main Methods:

Development of a general-purpose software architecture for mobile health agents.
Implementation of a context-awareness mechanism to detect walking behavior.
Conducting an initial field trial with a mobile agent acting as an exercise coach.

Main Results:

The context-awareness mechanism fostered greater social bonding between users and the agent.
Study participants exhibited reduced walking behavior when the context-awareness feature was active.
Mixed outcomes were observed, indicating a complex relationship between technology features and behavior change.

Conclusions:

Context-aware technology in mobile health agents can enhance user engagement and social bonding.
The design of context-aware features requires careful consideration to avoid unintended negative impacts on behavior.
Further research is needed to optimize mHealth interventions for effective physical activity promotion.