Eva Skärstrand, Knut Sundell, Sven Andréasson
Evaluation of a Swedish version of the Strengthening Families Programme
European journal of public health
covid19 pandemic expedited integration smart voice assistants sva among older people qualitative data derived user commands sva pivotal elucidating engagement patterns older individuals systems however sheer volume usergenerated voice interaction data presents formidable challenge manual coding compounding issue agerelated cognitive decline alterations speech patterns complicate interpretation older users sva voice interactions conventional dictionarybased textual analysis tools count word frequencies inadequate capturing evolving communicative essence interactions unfold series dialogues modify time address challenges study introduces novel modified rulebased natural language processing mrnlp model augmented human input reproducible approach capitalizes humanderived insights establish lexicon critical keywords formulate rules iterative refinement nlp model english speakers aged 50 older residing alone enlisted engage amazon alexa via predefined daily routines minimum 30 min daily spanning three months n 35 mean age 77 amassed timestamped textual data comprising participants user commands responses alexa initially subset constituting 20 data 1020 instances underwent manual coding human coder predicated keywords commands separately rulebased natural language processing nlp methodology employed code identical subset discrepancies arising human coder nlp model programmer deliberated upon reconciled refine rulebased nlp coding framework entire dataset modified rulebased nlp approach demonstrated notable enhancements efficiency scalability reduced susceptibility inadvertent errors comparison manual coding furthermore human input instrumental augmenting nlp model yielding insights germane aging adult demographic recurring speech patterns ambiguities disseminating innovative software solution scientific community endeavor advance research innovation nlp model formulation subsequently contributing understanding older peoples interactions sva aipowered systems