Using Observational Engagement Assessment Method VC-IOE for Evaluating an Interactive Table Designed for Seniors with Dementia

Feng, Yuan; Reijmersdal, Ruud van; Yu, Shuhui; Hu, Jun; Rauterberg, Matthias; Barakova, Emilia

doi:10.1007/978-3-319-67964-8_3

Cited by 6 publications

(5 citation statements)

References 18 publications

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“…A majority of these studies were targeted at users in special age groups. Twelve studies aimed to assist older adults, i.e., [ 17 , 59 , 61 , 62 , 67 , 70 , 71 , 72 , 73 , 74 , 76 , 82 ]. Seven studies focused on the social problems of children with ASD, i.e., [ 20 , 35 , 38 , 39 , 40 , 41 , 42 ].…”

Section: Resultsmentioning

confidence: 99%

“…Therefore, the observers needed to join the participants’ activities or stay out of their view (i.e., in [ 71 , 74 ]). Nine studies used video cameras to collect observational data, i.e., [ 19 , 39 , 41 , 42 , 52 , 72 , 73 , 74 , 85 ]. They provided more detailed information such as the participants’ verbal data and even facial expressions (in [ 52 , 72 , 73 , 74 ]).…”

Section: Resultsmentioning

confidence: 99%

“…Video coding is a common way to analyze videotapes. The coding schemes can be developed by the researchers (as in [ 39 , 74 ]) or adapted from established protocols (as in [ 52 , 62 , 73 ]). A three-tiered method was utilized in [ 52 ] to strengthen the validity of the research in a small sample and heterogeneous populations.…”

Section: Resultsmentioning

confidence: 99%

“…Questionnaires (user experience) 3. System log (photo interactions) 45 Feng et al, 2017, [ 73 ] Evaluate the effectiveness of an Interactive Table Design (ITD) for providing older adults with dementia meaningful engagements. Older adults with dementia Observation (emotional, verbal, visual, behavioral, collective engagement, and signs of agitation) 46 Zolyomi et al, 2017, [ 84 ] Understand and investigate the social and emotional impacts associated with the adoption of low-vision assistive technology.…”

Section: Table A1mentioning

confidence: 99%

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A Review of Data Gathering Methods for Evaluating Socially Assistive Systems

Qiu

Kang

et al. 2021

Sensors

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Social interactions significantly impact the quality of life for people with special needs (e.g., older adults with dementia and children with autism). They may suffer loneliness and social isolation more often than people without disabilities. There is a growing demand for technologies to satisfy the social needs of such user groups. However, evaluating these systems can be challenging due to the extra difficulty of gathering data from people with special needs (e.g., communication barriers involving older adults with dementia and children with autism). Thus, in this systematic review, we focus on studying data gathering methods for evaluating socially assistive systems (SAS). Six academic databases (i.e., Scopus, Web of Science, ACM, Science Direct, PubMed, and IEEE Xplore) were searched, covering articles published from January 2000 to July 2021. A total of 65 articles met the inclusion criteria for this systematic review. The results showed that existing SASs most often targeted people with visual impairments, older adults, and children with autism. For instance, a common type of SASs aimed to help blind people perceive social signals (e.g., facial expressions). SASs were most commonly assessed with interviews, questionnaires, and observation data. Around half of the interview studies only involved target users, while the other half also included secondary users or stakeholders. Questionnaires were mostly used with older adults and people with visual impairments to measure their social interaction, emotional state, and system usability. A great majority of observational studies were carried out with users in special age groups, especially older adults and children with autism. We thereby contribute an overview of how different data gathering methods were used with various target users of SASs. Relevant insights are extracted to inform future development and research.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Table A1mentioning

confidence: 99%

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A Review of Data Gathering Methods for Evaluating Socially Assistive Systems

Qiu

Kang

et al. 2021

Sensors

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“…Additionally, staff interview participants with a series of quantitative questionnaires, including an adapted feasibility scale [47] and an adapted system usability scale [48]. Research staff records the interview to engage in behavioral observation using the Video Coding-Incorporating Observed Emotion scale [49,50] to gauge emotion, verbal engagement, visual engagement, collective engagement, and agitation among persons with dementia.…”

Section: Data Collectionmentioning

confidence: 99%

Bio-Experiential Technology to Support Persons With Dementia and Care Partners at Home (TEND): Protocol for an Intervention Development Study

Rochon,

Sy,

Phillips

et al. 2023

JMIR Res Protoc

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Background Alzheimer disease and related dementias are debilitating and incurable diseases. Persons with dementia and their informal caregivers (ie, dyads) experience high rates of emotional distress and negative health outcomes. Several barriers prevent dyads from engaging in psychosocial care including cost, transportation, and a lack of treatments that target later stages of dementia and target the dyad together. Technologically informed treatment and serious gaming have been shown to be feasible and effective among persons living with dementia and their care partners. To increase access, there is a need for technologically informed psychosocial interventions which target the dyad, together in the home. Objective This study aims to develop the toolkit for experiential well-being in dementia, a dyadic, “bio-experiential” intervention for persons with dementia and their caregivers. Per our conceptual model, the toolkit for experiential well-being in dementia platform aims to target sustained attention, positive emotions, and active engagement among dyads. In this paper, we outline the protocol and conceptual model for intervention development and partnership with design and development experts. Methods We followed the National Institutes of Health (NIH) stage model (stage 1A) and supplemented the model with principles of user-centered design. The first step includes understanding user needs, goals, and strengths. We met this step by engaging in methodology and definition synthesis and conducting focus groups with dementia care providers (N=10) and persons with dementia and caregivers (N=11). Step 2 includes developing and refining the prototype. We will meet this step by engaging dyads in up to 20 iterations of platform β testing workshops. Step 3 includes observing user interactions with the prototype. We will meet this step by releasing the platform for feasibility testing. Results Key takeaways from the focus groups include balancing individualization and the dyadic relationship and avoiding confusing stimuli. As of September 2023, we have completed focus groups with providers, persons with dementia, and their caregivers. Additionally, we have conducted 4 iterations of β testing workshops with dyads. Feedback from focus groups informed the β testing workshops; data have not yet been formally analyzed and will be reported in future publications. Conclusions Technological interventions, particularly “bio-experiential” technology, can be used in dementia care to support emotional health among persons with a diagnosis and caregivers. Here, we outline a collaborative intervention development process of bio-experiential technology through a research, design, and development partnership. Next, we are planning to test the platform’s feasibility as well as its impact on clinical outcomes and mechanisms of action. International Registered Report Identifier (IRRID) DERR1-10.2196/52799

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Investigating socially assistive systems from system design and evaluation: a systematic review

Qiu

Kang

et al. 2021

Univ Access Inf Soc

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Purpose The development of assistive technologies that support people in social interactions has attracted increased attention in HCI. This paper presents a systematic review of studies of Socially Assistive Systems targeted at older adults and people with disabilities. The purpose is threefold: (1) Characterizing related assistive systems with a special focus on the system design, primarily including HCI technologies used and user-involvement approach taken; (2) Examining their ways of system evaluation; (3) Reflecting on insights for future design research. Methods A systematic literature search was conducted using the keywords “social interactions” and “assistive technologies” within the following databases: Scopus, Web of Science, ACM, Science Direct, PubMed, and IEEE Xplore. Results Sixty-five papers met the inclusion criteria and were further analyzed. Our results showed that there were 11 types of HCI technologies that supported social interactions for target users. The most common was cognitive and meaning understanding technologies, often applied with wearable devices for compensating users’ sensory loss; 33.85% of studies involved end-users and stakeholders in the design phase; Four types of evaluation methods were identified. The majority of studies adopted laboratory experiments to measure user-system interaction and system validation. Proxy users were used in system evaluation, especially in initial experiments; 42.46% of evaluations were conducted in field settings, primarily including the participants’ own homes and institutions. Conclusion We contribute an overview of Socially Assistive Systems that support social interactions for older adults and people with disabilities, as well as illustrate emerging technologies and research opportunities for future work.

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Using Observational Engagement Assessment Method VC-IOE for Evaluating an Interactive Table Designed for Seniors with Dementia

Cited by 6 publications

References 18 publications

A Review of Data Gathering Methods for Evaluating Socially Assistive Systems

A Review of Data Gathering Methods for Evaluating Socially Assistive Systems

Bio-Experiential Technology to Support Persons With Dementia and Care Partners at Home (TEND): Protocol for an Intervention Development Study

Investigating socially assistive systems from system design and evaluation: a systematic review

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