CClinicalTrials.gg
CompletedNCT05296239Updated Mar 5, 2026Results posted

SimpleC Wellness Platform With Social Robot Interaction

An interventional study of SimpleC Wellness Platform with Social Robot Interaction in Engagement, Patient, Mood and Quality of Life, sponsored by SimpleC, LLC. Completed at 2 sites in United States. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-03-05.

Sponsored by SimpleC, LLC · Not applicable, Interventional, and Other

Phase
Not applicable
Study type
Interventional
Enrollment
26
Allocation
Not applicable
Ages
18 Years and older
Sex
All
01

Study summary

This implementation study will be conducted to test a Socially-Assistive Robot (SAR) system for residents in an Assisted Living environment. The goal of the SAR system is to enhance social engagement and connectedness. The system engages residents via robot-facilitated activities such as trivia and reminder and is integrated with the SimpleC Wellness Platform.

Read the detailed description

This is a 3-week mixed-method study to assess the installation procedure, assess user first impressions, develop training, assess user materials, and identify any barriers and concerns during implementation. New features and design will be validated.

Research questions include:

  • How should the SAR system be introduced to the users and their environment?
  • What are facilitators and barriers to implementation?
  • Will users accept the SAR system in their environment?
  • What are facilitators and barriers to SAR system acceptance?
  • What are the desired parameters that the SAR system should have?

    • What social behaviors do users expect?
    • What tasks would be acceptable that the SAR system tablet do?
    • How should the SAR system's perception, competence, and awareness be presented to users?
    • What is most valuable to users and why?
  • If the answer depends, then what does it depend on (user, task, environment)?

Sample: Thirty individuals will participate: 10 residents, 10 family, and 10 staff. Enrollment will stop when reaching saturation.

Procedure: The research will follow established procedures for recruitment, screening, and assessment. Participants will provide informed consent, which will be followed by a baseline assessment. Participants will be screened to ascertain inclusion and exclusion criteria. Residents and Senior Housing Community will receive the new SAR system, which includes a virtual robot (SARv) and physical social robot (SAR). At the beginning of the study, enrolled residents will receive a tablet with a personalized profile, wellness programs, and virtual robot using the standard SimpleC enrollment process. Installation will be followed by training. Residents and family will be invited to personalize residents' profile and programming. One social robot will be implement for the whole community. Participants will engage with the SAR system as they are willing. All staff, residents, and family will be invited to use the SAR system, independent of study participation status. At the end of the study, assessments will be administered, which is followed by a brief interview.

02

Conditions studied

  • Engagement, Patient
  • Mood
  • Quality of Life
  • Aging
  • Mild Cognitive Impairment
  • Cognitive Impairment
  • Dementia

Keywords

  • At risk
  • Diagnosis
03

In context

Patient Participation

127 studies on the registry are indexed under Patient Participation; 64 are open to participants now.

This study's enrollment of 26 is below the median of 138 across 105 interventional studies indexed under Patient Participation.

Browse Patient Participation studies →

Lead sponsor

SimpleC, LLC is the lead sponsor of 2 studies on the registry; none are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Inclusion criteria

  • All: Fluent in English
  • Resident: 50 years and older
  • Resident: lives in Assisted Living Community
  • Resident: MMSE score of 13 or higher
  • Family member: 18 years and older
  • Family member: family or friend of resident
  • Family member: no diagnosis of dementia or related disorder
  • Staff: 18 years and older
  • Staff: works for the Senior Housing Community

Exclusion criteria

Exclusion Criteria:

  • All: pregnant
  • Resident: Expecting to move during the study
  • Resident: Both legally deaf and blind
05

Study design

Phase
Not applicable
Primary purpose
Other
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
26 participants (actual)

Study arms

  • Experimental
    SimpleC Wellness Platform with Social Robot Interaction

    Three participant groups: Residents, family members, and staff

    Other: SimpleC Wellness Platform with Social Robot Interaction

Interventions

  • OtherSimpleC Wellness Platform with Social Robot Interaction

    Once respondents enroll, they will receive the SimpleC Wellness Platform, including introduction training on the SAR system. During the study period, participants and others will receive instructions for the SAR system and use it as part of scheduled interactions, which includes interactions as part of the general schedule. In the third week, the social robot will be installed, and staff trained in group sessions as available. Participants may use the full SAR system as they are willing. Interactions specific to the virtual and physical robot include notifications to join activities as per community schedule as well as trivia.

06

What researchers measure

Primary outcomes

  1. Facilitators to Successful Implementation

    \[Interview\] Identified factors that facilitate successful implementation (e.g., WiFi, environmental set up, user perceptions) as derived from analysis of interview. A content analysis of the qualitative data was conducted. This identified themes, such as usefulness or engagement. We report the frequency of each theme mentioned during the interview.

    Time frame: 3 weeks

  2. Barriers to Successful Implementation

    \[Interview\] Identified factors that are barriers to implementation (e.g., WiFi, environmental set up, user perceptions) as derived from interview. A content analysis of the qualitative data was conducted. This identified themes, such as technology or hard to use. We report the frequency of each theme mentioned during the interview.

    Time frame: 3 weeks

Secondary outcomes

  1. Technology Acceptance Model Questionnaire. A 12-item Scale (1-7) With High Scores Indicating Higher Acceptance.

    \[Questionnaires\] Assessment of users' perceived ease of use and usefulness of using the technology. There are two sub-scales, with 6 questions each: 1. Perceived Usefulness, Min score = 1 (extremely unlikely), max score = 7 (extremely likely) 2. Perceived Ease of Use: Min score = 1 (extremely unlikely), max score = 7 (extremely likely) We also calculated an overall score which consists of all 12 questions: 3. Overall: Min score = 1 (extremely unlikely), max score = 7 (extremely likely)

    Time frame: 3 weeks

  2. Technology Acceptance and Adoption

    \[Interview\] Assessment of users acceptance and adoption ease of use, usefulness, and satisfaction of using the technology. A content analysis of the qualitative data was conducted. This identified themes, such as music or trivia. We report the frequency of each theme mentioned during the interview.

    Time frame: 3 weeks

  3. Robotic Social Attributes Scale (RoSAS): Family & Staff

    \[Questionnaire\] Perception and judgment of Social Assistive Robot social attributes on 3 dimensions: Warmth, competency, and discomfort. An 18-item scale (1-7) with high scores indicating positive attitudes for dimensions of warmth and competency and a negative attitude for dimension of discomfort. There are three sub-scales, with 6 questions each: 1. Warmth: Min score = 1 (not at all), max score = 7 (very much so) 2. Competency: Min score = 1 (not at all), max score = 7 (very much so) 3. Discomfort: Min score = 1 (not at all), max score = 7 (very much so)

    Time frame: 3 weeks

  4. Robotic Social Attributes Scale (RoSAS): Residents

    \[Questionnaire\] Perception and judgment of Social Assistive Robot social attributes on 3 dimensions: Warmth, competency, and discomfort. An 18-item scale (1-3) with high scores indicating positive attitudes for dimensions of warmth and competency and a negative attitude for dimension of discomfort. Residents completed a simpler version of the RoSAS. There are three sub-scales, with 6 questions each: 1. Warmth: Min score = 1 (Yes), max score = 3 (No) 2. Competency: Min score = 1 (Yes), max score = 3 (No) 3. Discomfort: Min score = 1 (Yes), max score = 3 (No)

    Time frame: 3 weeks

  5. Robot Social Attributes

    \[Interview\] Social Assistive Robot social attributes are identified (e.g., friendliness, competency, etc). A content analysis of the qualitative data was conducted. This identified themes, such as appearance or understanding. We report the frequency of each theme mentioned during the interview.

    Time frame: 3 weeks

  6. Usability and Usefulness

    \[Interview\] Identified factors that indicate the ease of use and usefulness for different tasks as derived from analysis of interview. A content analysis of the qualitative data was conducted. We report the frequency of the theme 'useful' and 'helpful' being mentioned during the interview.

    Time frame: 3 weeks

  7. Conversation Quality

    \[Interview\] User perceptions on the usefulness and ease of use in conversing with the technology. A content analysis of the qualitative data was conducted. We report the frequency of the themes related to conversation quality mentioned during the interview, for example "understand" or "voice".

    Time frame: 3 weeks

  8. Value Proposition/Economic Impact

    \[Interview\] Discussions with facility staff and key decision makers to understand the value of the technology in providing social interaction and reminders to their residents. A content analysis of the qualitative data was conducted. We report the frequency of the use cases mentioned during the interview, for example "music" or "trivia" as high-value propositions.

    Time frame: 3 weeks

  9. Requirements

    \[Interview + Observations\] Identified requirements for design, training, and communication as derived from analysis of interview, observations. A content analysis of the qualitative data was conducted. We report the number of requirements mentioned \& identified during the interview and observation, for example, enhancing audio features or updating the robot remotely.

    Time frame: 3 weeks

  10. Affect

    \[Interview\] Feelings of enjoyment, satisfaction, when using the technology. A content analysis of the qualitative data was conducted. We report the frequency of themes mentioned during the interview, for example "fun" or "engage".

    Time frame: 3 weeks

  11. Guilt Scale

    \[Questionnaire\] Guilt Scale. A 3 question, 4-point scale (0 = not at all; 3 = almost unbearable), with a higher score indicating higher guilt for a composite score range of 0 to 9. Only completed by one participant group: Family members

    Time frame: 3 weeks

07

Results

Posted Mar 5, 2026
Limitations and caveats
We experienced SARS-COV-2 related restrictions in availability, flexibility, and access to community, staff, and residents.

Participant flow

Participant flow — Overall Study
MilestoneResidentsFamily CaregiversStaff
Started1178
Completed876
Not completed302

Outcome measures

PrimaryFacilitators to Successful Implementation

\[Interview\] Identified factors that facilitate successful implementation (e.g., WiFi, environmental set up, user perceptions) as derived from analysis of interview. A content analysis of the qualitative data was conducted. This identified themes, such as usefulness or engagement. We report the frequency of each theme mentioned during the interview.

Time frame:
3 weeks
Reported as:
Number · Total number of mentions
Facilitators to Successful Implementation
Total number of mentionsResidentsFamily CaregiversStaff
Useful, helpful, benefit, innovative333024
Engage, interact, fun, enjoy, entertain273035
Tech experience (positive)331
PrimaryBarriers to Successful Implementation

\[Interview\] Identified factors that are barriers to implementation (e.g., WiFi, environmental set up, user perceptions) as derived from interview. A content analysis of the qualitative data was conducted. This identified themes, such as technology or hard to use. We report the frequency of each theme mentioned during the interview.

Time frame:
3 weeks
Reported as:
Number · Total number of mentions
Barriers to Successful Implementation
Total number of mentionsResidentsFamily CaregiversStaff
Hard to use, difficult, not useful, dislike310
Training035
Tech experience (negative)501
SecondaryTechnology Acceptance Model Questionnaire. A 12-item Scale (1-7) With High Scores Indicating Higher Acceptance.

\[Questionnaires\] Assessment of users' perceived ease of use and usefulness of using the technology. There are two sub-scales, with 6 questions each: 1. Perceived Usefulness, Min score = 1 (extremely unlikely), max score = 7 (extremely likely) 2. Perceived Ease of Use: Min score = 1 (extremely unlikely), max score = 7 (extremely likely) We also calculated an overall score which consists of all 12 questions: 3. Overall: Min score = 1 (extremely unlikely), max score = 7 (extremely likely)

Time frame:
3 weeks
Reported as:
Mean · units on a scale
Technology Acceptance Model Questionnaire. A 12-item Scale (1-7) With High Scores Indicating Higher Acceptance.
units on a scaleFamily MembersStaff
SAR Overall5.83 ± .085.82 ± .42
SARv Overall6.14 ± .255.75 ± .68
SAR Perceived Usefulness5.22 ± .105.71 ± .81
SARv Perceived Usefulness5.67 ± .175.50 ± 1.17
SAR Perceived Ease of use6.44 ± .195.93 ± .30
SARv Perceived Ease of use6.61 ± .426.00 ± .33
SecondaryTechnology Acceptance and Adoption

\[Interview\] Assessment of users acceptance and adoption ease of use, usefulness, and satisfaction of using the technology. A content analysis of the qualitative data was conducted. This identified themes, such as music or trivia. We report the frequency of each theme mentioned during the interview.

Time frame:
3 weeks
Reported as:
Number · Total number of mentions
Technology Acceptance and Adoption
Total number of mentionsResidentsFamily CaregiversStaff
Music16195
Video030
Pictures, photos, image594
Trivia1866
Reminder141713
SecondaryRobotic Social Attributes Scale (RoSAS): Family & Staff

\[Questionnaire\] Perception and judgment of Social Assistive Robot social attributes on 3 dimensions: Warmth, competency, and discomfort. An 18-item scale (1-7) with high scores indicating positive attitudes for dimensions of warmth and competency and a negative attitude for dimension of discomfort. There are three sub-scales, with 6 questions each: 1. Warmth: Min score = 1 (not at all), max score = 7 (very much so) 2. Competency: Min score = 1 (not at all), max score = 7 (very much so) 3. Discomfort: Min score = 1 (not at all), max score = 7 (very much so)

Time frame:
3 weeks
Reported as:
Mean · score on a scale
Robotic Social Attributes Scale (RoSAS): Family & Staff
score on a scaleFamily MembersStaff
SAR Warmth4.89 ± 0.384.25 ± 1.24
SARv Warmth4.83 ± 0.583.92 ± 1.77
SAR Competence5.28 ± .105.79 ± 0.21
SARv Competence5.28 ± 0.596.25 ± 0.35
SAR Discomfort1.67 ± 0.441.33 ± .47
SARv Discomfort1.67 ± 0.171.17 ± .24
SecondaryRobotic Social Attributes Scale (RoSAS): Residents

\[Questionnaire\] Perception and judgment of Social Assistive Robot social attributes on 3 dimensions: Warmth, competency, and discomfort. An 18-item scale (1-3) with high scores indicating positive attitudes for dimensions of warmth and competency and a negative attitude for dimension of discomfort. Residents completed a simpler version of the RoSAS. There are three sub-scales, with 6 questions each: 1. Warmth: Min score = 1 (Yes), max score = 3 (No) 2. Competency: Min score = 1 (Yes), max score = 3 (No) 3. Discomfort: Min score = 1 (Yes), max score = 3 (No)

Time frame:
3 weeks
Reported as:
Mean · score on a scale
Robotic Social Attributes Scale (RoSAS): Residents
score on a scaleResidents
SAR Warmth2.00 ± .72
SARv Warmth2.33 ± .82
SAR Competence2.53 ± .45
SARv Competence2.83 ± 1.00
SAR Discomfort1.11 ± .14
SARv Discomfort1.08 ± .42
SecondaryRobot Social Attributes

\[Interview\] Social Assistive Robot social attributes are identified (e.g., friendliness, competency, etc). A content analysis of the qualitative data was conducted. This identified themes, such as appearance or understanding. We report the frequency of each theme mentioned during the interview.

Time frame:
3 weeks
Reported as:
Number · Total number of mentions
Robot Social Attributes
Total number of mentionsResidentsFamily CaregiversStaff
Appearance, look, face722
Understand, understood, voice911
SecondaryUsability and Usefulness

\[Interview\] Identified factors that indicate the ease of use and usefulness for different tasks as derived from analysis of interview. A content analysis of the qualitative data was conducted. We report the frequency of the theme 'useful' and 'helpful' being mentioned during the interview.

Time frame:
3 weeks
Reported as:
Number · Total number of mentions
Usability and Usefulness
Total number of mentionsResidentsFamily CaregiversStaff
Usability and Usefulness333024
SecondaryConversation Quality

\[Interview\] User perceptions on the usefulness and ease of use in conversing with the technology. A content analysis of the qualitative data was conducted. We report the frequency of the themes related to conversation quality mentioned during the interview, for example "understand" or "voice".

Time frame:
3 weeks
Reported as:
Number · Total number of mentions
Conversation Quality
Total number of mentionsResidentsFamily CaregiversStaff
Conversation Quality911
SecondaryValue Proposition/Economic Impact

\[Interview\] Discussions with facility staff and key decision makers to understand the value of the technology in providing social interaction and reminders to their residents. A content analysis of the qualitative data was conducted. We report the frequency of the use cases mentioned during the interview, for example "music" or "trivia" as high-value propositions.

Time frame:
3 weeks
Reported as:
Number · Total number of mentions
Value Proposition/Economic Impact
Total number of mentionsResidentsFamily CaregiversStaff
Music16195
Trivia1866
Reminders141713
SecondaryRequirements

\[Interview + Observations\] Identified requirements for design, training, and communication as derived from analysis of interview, observations. A content analysis of the qualitative data was conducted. We report the number of requirements mentioned \& identified during the interview and observation, for example, enhancing audio features or updating the robot remotely.

Time frame:
3 weeks
Reported as:
Number · Number of requirements identified
Requirements
Number of requirements identifiedAll Participants
Requirements11
SecondaryAffect

\[Interview\] Feelings of enjoyment, satisfaction, when using the technology. A content analysis of the qualitative data was conducted. We report the frequency of themes mentioned during the interview, for example "fun" or "engage".

Time frame:
3 weeks
Reported as:
Number · Total number of mentions
Affect
Total number of mentionsResidentsFamily CaregiversStaff
Affect273035
SecondaryGuilt Scale

\[Questionnaire\] Guilt Scale. A 3 question, 4-point scale (0 = not at all; 3 = almost unbearable), with a higher score indicating higher guilt for a composite score range of 0 to 9. Only completed by one participant group: Family members

Time frame:
3 weeks
Reported as:
Mean · units on a scale
Guilt Scale
units on a scaleFamily Caregivers
Guilt Scale1.57 ± .98

Adverse events

Collected over 3 weeks. Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Residents0/8 (0%)0/8 (0%)1/8 (12.5%)
Family Caregivers0/7 (0%)0/7 (0%)0/7 (0%)
Staff0/8 (0%)0/8 (0%)0/8 (0%)
Most frequent other events
Most frequent other events
EventResidentsFamily CaregiversStaff
Mild Adverse EventSocial circumstances1/80/70/8

Baseline characteristics

Baseline analysis includes data from 3 participants groups: (1) Residents (n=8), (2) Family members (n=7), and (3) Staff members (n=8). Data from 3 participants (Residents (n=3) were excluded from Baseline because participants were administrative withdrawn after providing consent but before Baseline was completed. This explains the discrepancy between total number of Residents in the Overall Study (N=11) vs. total number of residents at Baseline (N=8).

Age, Categorical
Age, Categorical(Participants)ResidentsFamily CaregiversStaffTotal
<=18 years0000
Between 18 and 65 years07714
>=65 years8019
Age, Continuous
Age, Continuous(years)ResidentsFamily CaregiversStaffTotal
Mean83 ± 1057 ± 649 ± 1463 ± 18
Sex: Female, Male
Sex: Female, Male(Participants)ResidentsFamily CaregiversStaffTotal
Female62614
Male2529
Ethnicity (NIH/OMB)
Ethnicity (NIH/OMB)(Participants)ResidentsFamily CaregiversStaffTotal
Hispanic or Latino0011
Not Hispanic or Latino87621
Unknown or Not Reported0011
Race (NIH/OMB)
Race (NIH/OMB)(Participants)ResidentsFamily CaregiversStaffTotal
American Indian or Alaska Native0000
Asian0000
Native Hawaiian or Other Pacific Islander0000
Black or African American42410
White44210
More than one race0112
Unknown or Not Reported0011
Region of Enrollment
Region of Enrollment(participants)ResidentsFamily CaregiversStaffTotal
United States87823
Guilt
Guilt(units on a scale)ResidentsFamily CaregiversStaffTotal
Mean—2.29 ± 1.11—2.29 ± 1.11
08

Study locations

2 sites
  • University of Georgia
    Athens, Georgia 30602, United States
  • SimpleC, LLC
    Atlanta, Georgia 30060, United States
09

References and documents

Study documents

  • Protocol and statistical analysis plan · Jun 7, 2022
  • Informed consent form · Jan 20, 2022

Documents are hosted by the registry — open the source record to download them.

Individual participant data

Plan to share: No

10

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Mar 5, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT05296239
Lead sponsor
SimpleC, LLC
Collaborators
University of Georgia, Advanced Medical Electronics
Responsible party
Sponsor
First posted
Mar 25, 2022
Start date
Feb 3, 2022
Primary completion
Mar 7, 2022
Completion
Mar 7, 2022
Results posted
Mar 5, 2026
Last update
Mar 5, 2026

Study contacts

Anne Adams, PhD
principal investigator · SimpleC, LLC
Jenay Beer, PhD
principal investigator · jenay.beer@uga.edu

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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