Browsing by Author "Guesgen H"

Now showing 1 - 4 of 4
  • Thumbnail Image
    Item
    Telehealth at Home: Co-Designing a Smart Home Telehealth System
    (IOP Press BV, 2021-04-19) Hunter I; Elers P; Lockhart C; Guesgen H; Whiddett D; Singh A; Maeder AJ; Higa C; van den Berg MEL; Gough C
    Increasing life expectancy and rates of chronic conditions place increasing demands on aged care health and support services. One response preferred by older adults and seen as cost effective is aging in place, whereby older people remain in their own homes and avoid aged residential care. For this to take place, it is crucial that older people maintain effective relationships with support networks and that older adults and these networks have adequate information to support patient centred health and wellness care at home. This study explored how smart home telehealth, a form of telehealth where health care is provided at a distance using smart home digital technology (sensors), could assist older people to age in place and enhance their health and wellbeing. It was a two-phase project, preceded by a workshop with experts:1) 41 interviews with older adults and their informal support networks, seven focus groups with 44 health providers working with older adults, which informed 2) a pilot implementation of a co-designed telehealth system, addressing key barriers identified in Phase 1. The system used low cost, easily accessible, and commercially available sensors, transferring information via email and/or text messaging. It was successfully piloted with five older adults and twelve of their respective support networks for six months, who reported an increased feeling of security and improved interpersonal communication. The findings indicate that smart home telehealth could assist aging in place, and the study provides insights into successful co-design of smart home telehealth services at scale that could be implemented and deployed in contexts wider than aged care.
  • Thumbnail Image
    Item
    Telehealth at home: Co-designing a smart home telehealth system
    (IOS Press B V, 2021-04-29) Hunter I; Elers P; Lockhart C; Guesgen H; Whiddett D; Singh A; Maeder AJ; Higa C; van den Berg MEL; Claire G
    Increasing life expectancy and rates of chronic conditions place increasing demands on aged care health and support services. One response preferred by older adults and seen as cost effective is aging in place, whereby older people remain in their own homes and avoid aged residential care. For this to take place, it is crucial that older people maintain effective relationships with support networks and that older adults and these networks have adequate information to support patient centred health and wellness care at home. This study explored how smart home telehealth, a form of telehealth where health care is provided at a distance using smart home digital technology (sensors), could assist older people to age in place and enhance their health and wellbeing. It was a two-phase project, preceded by a workshop with experts:1) 41 interviews with older adults and their informal support networks, seven focus groups with 44 health providers working with older adults, which informed 2) a pilot implementation of a co-designed telehealth system, addressing key barriers identified in Phase 1. The system used low cost, easily accessible, and commercially available sensors, transferring information via email and/or text messaging. It was successfully piloted with five older adults and twelve of their respective support networks for six months, who reported an increased feeling of security and improved interpersonal communication. The findings indicate that smart home telehealth could assist aging in place, and the study provides insights into successful co-design of smart home telehealth services at scale that could be implemented and deployed in contexts wider than aged care.
  • Thumbnail Image
    Item
    The Koja Web Mapping Application for Context-sensitive Natural Language Spatial Querying
    (CEUR Team, 2023-01-01) Aflaki N; Stock K; Jones CB; Guesgen H; Fukuzawa Y; Morley J; Hu X; Hu Y; Resch B; Kersten J; Stock K
    The locations of objects are often described in natural language relative to some other object using vague and context-sensitive spatial relation terms (e.g. theatre near Trafalgar Square). Koja is a web map application that predicts the distance between a location and reference object based on the spatial relation term specified by the user and language and contextual features. That distance is used to retrieve objects of the specified type within a range of the distance. They are displayed through a map interface to make the process more intuitive and user-friendly.
  • Thumbnail Image
    Item
    What Do You Mean You're in Trafalgar Square? Comparing Distance Thresholds for Geospatial Prepositions
    (Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2022-09-01) Aflaki N; Stock K; Jones CB; Guesgen H; Morley J; Fukuzawa Y; Ishikawa T; Fabrikant SI; Winter S
    Natural language location descriptions frequently describe object locations relative to other objects (the house near the river). Geospatial prepositions (e.g.near) are a key element of these descriptions, and the distances associated with proximity, adjacency and topological prepositions are thought to depend on the context of a specific scene. When referring to the context, we include consideration of properties of the relatum such as its feature type, size and associated image schema. In this paper, we extract spatial descriptions from the Google search engine for nine prepositions across three locations, compare their acceptance thresholds (the distances at which different prepositions are acceptable), and study variations in different contexts using cumulative graphs and scatter plots. Our results show that adjacency prepositions next to and adjacent to are used for a large range of distances, in contrast to beside; and that topological prepositions in, at and on can all be used to indicate proximity as well as containment and collocation. We also found that reference object image schema influences the selection of geospatial prepositions such as near and in.