Remembering for Relationships: Brief Cognitive-Reminiscence Therapy Improves Young Adults’ Perceptions About Self and Others in Relationships

Reminiscence-based interventions involve the guided recall and interpretation of autobiographical memories to promote adaptive thinking. This study involved secondary analyses of a recent trial of a positively focused, three-session version of cognitive-reminiscence therapy (CRT) on generalised perceptions of relationship quality and interpersonally related psychological resources in young adults. A community sample (N = 62, Mage = 24.6 [SD = 3.1], 71% females) of young adults were randomised into a CRT and wait-list condition. Participants completed assessments measuring perceived relationship quality (relationship satisfaction, emotional intimacy, commitment, and trust) and perceptions of self and others within relationships (relationship self-esteem, relationship self-efficacy, relationship optimism and meaning in relationships). The CRT group, relative to the control group, scored significantly higher on perceived relationship quality (d = 0.62), and higher on generalized relationship self-efficacy (d = 0.70), relationship self-esteem (d = 0.59), and relationship optimism (d = 0.57) at the follow-up. Group differences for relationship meaning were non-trivial (small to moderate), but not statistically significant. A brief, positive-focused, intervention of guided recall of autobiographical memories was generally effective in improving perceptions about self and others within the context of relationships in young adults. Replication studies with larger samples are needed. Future research may expand CRT to target other relationship variables, assess the impacts of different doses, explore relationships in specific populations, and better understand the mechanisms for change.

Emotion Recognition Using Electroencephalography Signals of Older People for Reminiscence Therapy

Objective: Numerous communication support systems based on reminiscence therapy have been developed. However, when using communication support systems, the emotional assessment of older people is generally conducted using verbal feedback or questionnaires. The purpose of this study is to investigate the feasibility of using Electroencephalography (EEG) signals for automatic emotion recognition during RT for older people.Participants: Eleven older people (mean 71.25, SD 4.66) and seven young people (mean 22.4, SD 1.51) participated in the experiment.Methods: Old public photographs were used as material for reminiscence therapy. The EEG signals of the older people were collected while the older people and young people were talking about the contents of the photos. Since emotions change slowly and responses are characterized by delayed effects in EEG, the depth models LSTM and Bi-LSTM were selected to extract complex emotional features from EEG signals for automatic recognition of emotions.Results: The EEG data of 8 channels were inputted into the LSTM and Bi-LSTM models to classify positive and negative emotions. The recognition highest accuracy rate of the two models were 90.8% and 95.8% respectively. The four-channel EEG data based Bi-LSTM also reached 94.4%.Conclusion: Since the Bi-LSTM model could tap into the influence of “past” and “future” emotional states on the current emotional state in the EEG signal, we found that it can help improve the ability to recognize positive and negative emotions in older people. In particular, it is feasible to use EEG signals without the necessity of multimodal physiological signals for emotion recognition in the communication support systems for reminiscence therapy when using this model.

Measuring engagement among older adults using a multidimensional analysis of communication: Method Design (Preprint)

BACKGROUND Characterising older adult engagement is important to determine the effectiveness of interventions. Engagement is the occupying of oneself in external stimuli and is observable across multiple dimensions of behaviour. Engagement of older adults is commonly investigated on a single behavioural dimension. OBJECTIVE In this article, we present a multidisciplinary approach for measuring and characterising engagement of older adults using techniques appropriate for people with varying degrees of dementia. METHODS Contexts for engagement included a dyadic reminiscence therapy interview and a 12-week technology driven group reminiscence therapy. Participants were older adults (8 female, 1 male, mean age: 79) who attended a day respite facility. Audio-visual recordings of the sessions were processed to analyse facial movement, lexical use, and prosodic patterns of speech. Facial movement was processed using OpenFace to measure the presence and intensity of facial movement. Lexical use was processed using the Linguistic Enquiry and Word Count to measure personal pronoun use, affective word use, and emotional tone of words in speech. Prosodic patterns of speech were processed using custom scripts written in Praat and Python, to measure mean duration of utterances, mean words per utterance, articulation rate and variability of F0. Mixed-effects modelling was used to assess effects of treatment conditions on dependent variable outcomes. RESULTS Results indicate measuring engagement through a multidimensional approach can sensitively capture older adults’ engagement. CONCLUSIONS Application of this method can enhance a researcher’s ability to measure older adult engagement, provide means to compare across interventions and contextual environments, and further develop the science of psychosocial intervention research.

Co-Designing a Virtual Reality Application to Enhance Reminiscence Therapy for Persons with Dementia

Reminiscence therapy for persons with dementia is often being conducted by employing analog media including pictures and videos organized and presented by a caregiver. However, such media lacks the immersive experience to support patient engagement and successful recollection of reminiscence events. Recently, Virtual Reality (VR) is gaining momentum as a potential technological tool to support dementia care due to its increased immersion, presence, and embodiment. Haptic artifacts can be used to enrich reminiscence therapy as part of the multi-sensory stimuli to increase immersion and patient engagement, as well as improving social connectedness and cognitive health. The purpose of this project is to explore the use of VR application to advance reminiscence therapy for persons with dementia. We have prototyped an immersive and non-immersive VR framework that allows caregivers to deliver reminiscence therapy for persons with dementia with varying stages in their disease progression. These reminiscence therapy sessions are built by employing a narrative storyboard and content management through a series of co-designing sessions with content experts at the Geriatric Dementia Unit in Ontario, Canada. A caregiver-led VR framework will be adopted to enable the caregiver to guide the persons with dementia to safely navigate through the interactive VR environment, while allowing the patients to engage with the interactive VR elements using a point-and-pinch gesture approach. We anticipate that the VR experiences hold the potential for improving the interactions between persons with dementia and caregivers, as well as enhancing the reminiscence experiences to promote the maximal therapeutic benefit of patient’s recovery.