Prompting technologies: A comparison of time-based and context-aware transition-based prompting

被引:9
|
作者
Robertson, Kayela [1 ]
Rosasco, Cody [1 ]
Feuz, Kyle [2 ]
Schmitter-Edgecombe, Maureen [1 ]
Cook, Diane [3 ]
机构
[1] Washington State Univ, Dept Psychol, Pullman, WA 99164 USA
[2] Weber State Univ, Dept Comp Sci, Ogden, UT 84408 USA
[3] Washington State Univ, Sch Elect Engn & Comp Sci, Pullman, WA 99164 USA
基金
美国国家科学基金会;
关键词
Prompting technology; cognitive intervention; assistive technology; cognitive aids; VOCATIONAL TASKS; INDIVIDUALS; SYSTEM; REHABILITATION;
D O I
10.3233/THC-151033
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
BACKGROUND: While advancements in technology have encouraged the development of novel prompting systems to support cognitive interventions, little research has evaluated the best time to deliver prompts, which may impact the effectiveness of these interventions. OBJECTIVE: This study examined whether transition-based context prompting (prompting an individual during task transitions) is more effective than traditional fixed time-based prompting. METHODS: Participants were 42 healthy adults who completed 12 different everyday activities, each lasting 1-7 minutes, in an experimental smart home testbed and received prompts to record the completed activities from an electronic memory notebook. Half of the participants were delivered prompts during activity transitions, while the other half received prompts every 5 minutes. Participants also completed Likert-scale ratings regarding their perceptions of the prompting system. RESULTS: Results revealed that participants in the transition-based context prompting condition responded to the first prompt more frequently and rated the system as more convenient, natural, and appropriate compared to participants in the time-based condition. CONCLUSIONS: Our findings suggest that prompting during activity transitions produces higher adherence to the first prompt and more positive perceptions of the prompting system. This is an important finding given the benefits of prompting technology and the possibility of improving cognitive interventions by using context-aware transition prompting.
引用
收藏
页码:745 / 756
页数:12
相关论文
共 50 条
  • [21] An ORM Based Context Model for Context-Aware Computing
    Yogarajah, Annet Nishantha Anton
    Dharmasena, Shiluka Raveen
    Loganathan, Gobinath
    Perera, Srinath
    Balachandrasarma, Vishnuvathsasarma
    Walpola, Malaka
    CONTEXT-AWARE SYSTEMS AND APPLICATIONS (ICCASA 2016), 2017, 193 : 132 - 141
  • [22] Time Context-Aware IPTV Program Recommendation based on Tensor Learning
    Yin, Xiaoyan
    Chen, Yanjiao
    Mi, Xiaoqian
    Wang, Hua
    Tang, Zhanyong
    He, Chen
    Fang, Dingyi
    2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2018,
  • [23] Context-Aware EEG-Based Perceived Stress Recognition based on Emotion Transition Paradigm
    Liu, Jiyao
    He, Lang
    Chen, Zhiwei
    Chen, Ziyi
    Hao, Yu
    Jiang, Dongmei
    2023 11TH INTERNATIONAL CONFERENCE ON AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION WORKSHOPS AND DEMOS, ACIIW, 2023,
  • [24] Design of an Unattended Monitoring System Using Context-Aware Technologies Based on 3 Screen
    Kim, Seoksoo
    ADVANCES IN SOFTWARE ENGINEERING, 2010, 117 : 23 - 29
  • [25] Context-Aware Based API Recommendation with Diversity
    Lai B.
    Li Z.
    Zhao R.
    Guo J.
    Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2023, 60 (10): : 2335 - 2347
  • [26] A Context-Aware Model Based on Mobile Agent
    Wang, Ying
    Peng, Xinguang
    EMERGING RESEARCH IN ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, 2011, 237 : 253 - 260
  • [27] An ontology-based model for context-aware
    Yan, Zhongmin
    Li, Qingzhong
    Li, Hui
    2006 1ST INTERNATIONAL SYMPOSIUM ON PERVASIVE COMPUTING AND APPLICATIONS, PROCEEDINGS, 2006, : 647 - +
  • [28] Studying on context-aware model based on TAP
    Pang, Meiyui
    Jin, Jianjiao
    2007 International Symposium on Computer Science & Technology, Proceedings, 2007, : 184 - 186
  • [29] Context-aware, ontology-based recommendations
    Räck, C
    Arbanowski, S
    Steglich, S
    INTERNATIONAL SYMPOSIUM ON APPLICATIONS AND THE INTERNET WORKSHOPS, PROCEEDINGS, 2006, : 98 - 104
  • [30] To context-aware learner modeling based on ontology
    Akharraz, Laila
    El Mezouary, Ali
    Mahani, Zouhir
    PROCEEDINGS OF 2018 IEEE GLOBAL ENGINEERING EDUCATION CONFERENCE (EDUCON) - EMERGING TRENDS AND CHALLENGES OF ENGINEERING EDUCATION, 2018, : 1326 - 1334