Supporting longitudinal change in many health behaviors

Ren, Jingjing; Schulman, Daniel; Jack, Brian; Bickmore, Timothy

doi:10.1145/2559206.2581201

Cited by 7 publications

(4 citation statements)

References 12 publications

(19 reference statements)

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“…Those design principles directly refer to design principles listed in the PSD model. Additionally, multiple goals should be prioritized [41]. Many studies highlight the importance for users to define their goals themselves [36,37,[42][43][44].…”

Section: Analysis Of Related Literaturementioning

confidence: 99%

Goal-Setting for Knowledge Documentation using Persuasive Systems Design – Selection and Implementation of Design Principles

Merz¹,

Hurm²

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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Knowledge management and knowledge documentation are essential capabilities of organizations for innovation and competition. While documenting knowledge is often induced by extrinsic motivation, persuasive systems have the potential to change behavior by emphasizing intrinsic motivation.In this study, we explore goal-setting in persuasive systems in a design science project about knowledge documentation and derive 17 design principles from literature and theories. We apply the design principles by creating a process for guided goal-setting and implement the process in a persuasive system for knowledge documentation in form of a mobile application. We evaluated the artifacts in two iterations regarding the realization of the design principles as well as the acceptance and perceived impact of the persuasive system. The study's contribution is both the selection of the design principles, as well as the implementation in the form of a process and a mobile application.

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Section: Analysis Of Related Literaturementioning

confidence: 99%

Goal-Setting for Knowledge Documentation using Persuasive Systems Design – Selection and Implementation of Design Principles

Merz¹,

Hurm²

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…First, we removed twelve entries where the publication did not report from an empirical study [5,6,7,17,21,25,26,61,65,66,86,123]. Secondly, we excluded eleven publications where the term longitudinal referred to something different than the study or research method [35,50,52,56,67,69,76,102,129,130,137]. Thirdly, we excluded seven publications where the study had not yet been done, but where the authors suggest a longitudinal study should be done [22,23,31,101,103,108,135].…”

Section: Phase 3: Publications For Analysismentioning

confidence: 99%

Longitudinal Studies in HCI Research: A Review of CHI Publications From 1982–2019

Kjærup

Skov

Nielsen

et al. 2021

Human–Computer Interaction Series

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Longitudinal studies in HCI research have the potential to increase our understanding of how human-technology interactions evolve over time. Potentially, longitudinal studies eliminate learning or novelty-effects by considering change through repeated measurements of interaction and use. However, there seems to exist no agreement of how longitudinal HCI study designs are characterized. We conducted an analysis of 106 HCI papers published at the CHI conference from 1982 to 2019 where longitudinal studies were explicitly reported. We analysed these papers using classical longitudinal study metrics, for example duration, metrics, methods, change or stability. We illustrate that longitudinal studies in HCI research are highly diverse in terms of duration lasting from few days to several years and different metrics are applied. It appears that the paper contribution type highly influences study design. While, only a little more than half of the papers discuss or illustrate change/stability during their studies. We further underline considerations of durations vs. saturation, identifying points of measurements and matching contribution types with research questions. Finally, we urge researchers to extend implications presented on perceiving duration as a singular attribute, as well as longitudinal systematic approaches to 'in-situ' studies and ethnography in HCI.

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“…One of the earliest and simplest methods involves programmable prompting devices, which are pre-programmed to send reminders to the participants and are useful for interventions such as medication adherence, smoking cessation and adopting healthy habits (Schollmeyer and Elsmore, 1985;Riva et al, 2000;Andrade et al, 2005). Then came conversational agents that participate in a back and forth interaction with the user and help them with activities such as managing stress and assisting patients during hospital visits (Schulman and Bickmore, 2009;Ren et al, 2014;Bickmore et al, 2015;Shamekhi et al, 2017).…”

Section: Dialogue Systems For Health Behavior Changementioning

confidence: 99%

Modeling Health Coaching Dialogues for Behavioral Goal Extraction

Gupta

Eugenio

Ziebart

et al. 2019

2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

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Health coaching has been identified as a successful method for motivating and maintaining health behavior changes. Unfortunately, personal health coaching is time-and resourceintensive, and cannot scale up. Previous research focuses on developing conversational systems that can provide automated coaching to patients. But most of these systems rely on a predefined set of input/output mappings, focus more on general goal setting, and do not provide follow-up during goal implementation. Therefore, my research contributes to building a virtual assistant health coach to help patients set and achieve a Specific, Measurable, Attainable, Realistic, and Time-bound (SMART) goal.The first step towards building a successful domain-specific dialogue system is to understand the users' needs and the environment in which it will be used. Since no other public health coaching dialogue data exists, we collected data that I annotated for a variety of features of interest. These annotations include domain-specific slots called SMART attributes at the word level, the intent behind a participant's text message called dialogue acts, and higher-level portions of the dialogue performing a specific function called stages and phases. I then used these annotations to build the language understanding component of the dialogue system and design the goal extraction pipeline, which extracts the physical activity goal the user and coach negotiate via text messages. I proposed a two-step goal extraction process that uses phases and dialogue acts to identify the correct SMART goal attributes and show that dialogue acts help more than the higher-level conversation flow captured by phases. These goal summaries will xv SUMMARY (Continued) help the health coaches to easily recall patients' past goals and use them to suggest a realistic future goal. Finally, I assessed the usability of the generated goal summaries with the help of three health coaches in an offline setting.

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Supporting longitudinal change in many health behaviors

Cited by 7 publications

References 12 publications

Goal-Setting for Knowledge Documentation using Persuasive Systems Design – Selection and Implementation of Design Principles

Goal-Setting for Knowledge Documentation using Persuasive Systems Design – Selection and Implementation of Design Principles

Longitudinal Studies in HCI Research: A Review of CHI Publications From 1982–2019

Modeling Health Coaching Dialogues for Behavioral Goal Extraction

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