Short answer

When designing health coaching systems, consider the user's device and the nature of the feedback. For frequent, short messages on mobile, plain text may suffice or even be preferred. For less frequent, more detailed feedback on larger screens, a virtual human might enhance user perception.

Field
Human Factors
Source
Academic Publication (2015)
Method
User evaluation studies and analysis of log data.
Evidence
Moderate effect

The presentation format of feedback in health behavior change systems significantly impacts user perception, with virtual humans proving more effective for less frequent, longer-form feedback on larger screens. This human factors research insight is drawn from a 2015 study published in Academic Publication. Using User evaluation studies and analysis of log data., researchers explored how this design variable affects real-world outcomes. The key design takeaway: When designing health coaching systems, consider the user's device and the nature of the feedback. For frequent, short messages on mobile, plain text may suffice or even be preferred. For less frequent, more detailed feedback on larger screens, a virtual human might enhance user perception.

Study
Human FactorsHigh ImpactModerate effect

Virtual humans enhance health coaching feedback on PCs, but not smartphones for frequent messages.

The presentation format of feedback in health behavior change systems significantly impacts user perception, with virtual humans proving more effective for less frequent, longer-form feedback on larger screens.

Academic Publication · 2015

01

Key Findings

  • 01Feedback messages presented by a virtual human did not improve user perception for short, frequent messages on smartphones.
  • 02Feedback messages presented by a virtual human improved user perception for weekly messages on personal computers or laptops.
  • 03The text feedback group showed a higher number of physical activity data uploads and a higher level of physical activity compared to the control group.
02

Application

Design takeaway

When designing health coaching systems, consider the user's device and the nature of the feedback. For frequent, short messages on mobile, plain text may suffice or even be preferred. For less frequent, more detailed feedback on larger screens, a virtual human might enhance user perception.

How to apply

When developing a health app, prototype and test different feedback styles. If targeting mobile users with daily reminders, focus on clear, concise text. If designing a web-based platform for weekly progress reports, explore the use of avatars or richer media.

Project actions

  • 01When designing a system, think about how the user will receive information – is it a quick notification or a detailed report?
  • 02Consider testing different visual styles for feedback to see what resonates best with your target audience.
03

Method & Evidence

AimTo investigate how different feedback presentation formats (plain text vs. virtual human) influence user perception and adherence in a multi-device health coaching system.
MethodUser evaluation studies and analysis of log data.
ProcedureThe study involved context mapping, online questionnaires, and multiple user evaluation studies comparing feedback delivered via plain text versus a virtual human on different devices (smartphones, PCs/laptops) with varying message frequencies. Log data from a six-week study was also analyzed.
ContextHealth behavior change support systems, human-computer interaction.

Variables

IV["Feedback presentation format (plain text vs. virtual human)","Device (smartphone vs. PC/laptop)","Message frequency (short/frequent vs. weekly)"]
DV["User perception of the coaching application","Adherence to the system","Number of physical activity data uploads","Level of physical activity"]
CV["Content of the feedback messages (presumably similar across formats for comparison)","Duration of the evaluation study"]
04

Strengths & Limitations

Strengths

  • +Investigated a practical application of HCI principles in a real-world system.
  • +Utilized multiple evaluation methods (questionnaires, log data) for a comprehensive view.

Limitations

The study's findings might not apply to all types of health behavior change or all user groups. The 'virtual human' aspect was specific and might not generalize to all animated characters.

Reliability & validity

The use of multiple studies and log data likely enhances the validity of findings. Reliability could be improved by standardizing the 'virtual human' interaction more rigorously across different tests.

Think critically

How might the perceived 'trustworthiness' or 'personality' of a virtual human influence its effectiveness compared to plain text, and how could this be measured?

05

Design Principles

"Adapt feedback presentation to the user's context (device, message frequency, content complexity) to optimize engagement and perceived effectiveness."

Understanding how users perceive and interact with feedback mechanisms is crucial for designing effective behavior change support systems. This insight highlights the importance of tailoring interface design and content delivery to the specific context of use, device, and message frequency to maximize user engagement and adherence.

06

What This Means for Your Design

Using a cartoon character to give health advice works better when you get the advice once a week on your computer, not when you get short messages every day on your phone. Simple text messages can also help people be more active.

How to use in your project

  • 1.Reference this study when discussing the user interface design choices for feedback mechanisms in your design project, particularly if you are exploring different visual or textual presentation styles.
07

Add to My Project

08

Quick Cite

Paragraph starter

Research by Klaassen (2015) indicates that the effectiveness of feedback presentation in health behavior change systems is contingent on the delivery context. Specifically, virtual human feedback was found to be more positively perceived for less frequent, longer-form messages delivered on larger screens (PCs/laptops), whereas short, frequent messages on smartphones did not benefit from this format. Furthermore, plain text feedback demonstrated efficacy in increasing physical activity data uploads and overall activity levels, suggesting that simpler feedback mechanisms can also be powerful drivers of behavior change.

09

Source

Academic Publication

HCI Perspectives on Behavior Change Support Systems

journal · 2015

View source

Questions About This Research

What does the research say about virtual humans enhance health coaching feedback on pcs, but not smartphones for frequent messages?
When designing health coaching systems, consider the user's device and the nature of the feedback. For frequent, short messages on mobile, plain text may suffice or even be preferred. For less frequent, more detailed feedback on larger screens, a virtual human might enhance user perception. Evidence: Academic Publication (2015).
Why does "Virtual humans enhance health coaching feedback on PCs, but not smartphones for frequent messages." matter for design?
Understanding how users perceive and interact with feedback mechanisms is crucial for designing effective behavior change support systems. This insight highlights the importance of tailoring interface design and content delivery to the specific context of use, device, and message frequency to maximize user engagement and adherence.
How can designers apply this research?
When designing health coaching systems, consider the user's device and the nature of the feedback. For frequent, short messages on mobile, plain text may suffice or even be preferred. For less frequent, more detailed feedback on larger screens, a virtual human might enhance user perception.
What were the main findings?
Feedback messages presented by a virtual human did not improve user perception for short, frequent messages on smartphones.. Feedback messages presented by a virtual human improved user perception for weekly messages on personal computers or laptops.. The text feedback group showed a higher number of physical activity data uploads and a higher level of physical activity compared to the control group.
What research method was used?
User evaluation studies and analysis of log data..
How strong is the evidence?
Evidence strength is rated Moderate effect, based on a 2015 journal from Academic Publication.
What should I do differently in my next project?
When developing a health app, prototype and test different feedback styles. If targeting mobile users with daily reminders, focus on clear, concise text. If designing a web-based platform for weekly progress reports, explore the use of avatars or richer media.
What are the limitations?
The study did not include traditional clinical evaluations, and the sample size and specific demographics are not detailed, potentially limiting generalizability.