Improving Adherence in Automated e-Coaching

Beun, Robbert-Jan; Brinkman, Willem‐Paul; Fitrianie, Siska; Griffioen-Both, Fiemke; Horsch, Corine; Lancee, Jaap; Spruit, Sandor

doi:10.1007/978-3-319-31510-2_24

Cited by 29 publications

(21 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It should be stressed, though, that the goal of the RCT was to test the efficacy of the complete SleepCare system, not specifically focusing on the negotiation module. Because negotiation was one of the many persuasive strategies applied in the system (see Beun et al, 2016), only an app group and a waiting list group were compared. An advantage is that we have data from an experiment that, to some extent, matches a real-world situation.…”

Section: Discussionmentioning

confidence: 99%

Negotiation in Automated E-Coaching

Beun

Both

Lancee

2018

Electronic Workshops in Computing

Self Cite

View full text Add to dashboard Cite

In this paper, we present the design of a negotiation protocol for behaviour change exercises that are supported by automated e-coaching systems. Negotiation is introduced as an interactive persuasive strategy with the aim to improve adherence of exercises. The protocol is implemented in a mobile application, called SleepCare, that supports cognitive behaviour therapy for insomnia. The interaction design of the application is centred around the paradigm of Talk-and-Tools. Talk represents personalized conversations with a virtual e-coach, while Tools are represented by specialized modules that form a coherent structure of input and output facilities. We focus on the technique of sleep restriction, an intensive form of behaviour change that requires strong perseverance from the user. Both user and e-coach may negotiate about the attributes of the sleep restriction technique, here the duration of the total time in bed. The algorithm that calculates the negotiation space is personalized on the basis of previous sleeping behaviour of the coachee, the stage of the program and general constraints of the insomnia therapy. The system is evaluated by means of automated simulations and data from a randomized controlled trial. More than 50% of the subjects who did sleep restriction as a behaviour changing exercise used the protocol in the first round and negotiated with the system about an agreed time in bed. We expect that negotiation includes a number of important adherence enhancing strategies in e-coaching: increase of the coachee's autonomy, a sense of shared decision making and commitment.

show abstract

Section: Discussionmentioning

confidence: 99%

Negotiation in Automated E-Coaching

Beun

Both

Lancee

2018

Electronic Workshops in Computing

Self Cite

View full text Add to dashboard Cite

show abstract

“…For example, a review on physical activity apps showed a limited number of utilized behavior change techniques and a relative disregard of motivational compared to educational factors (Conroy et al 2014 ). Self-improvement technologies such as Sleepcare (Beun 2013 ; Beun et al 2016 ), explicitly built on theoretical knowledge from psychology and coaching, are rather exceptions. Sleepcare , for example, negotiates with users about an adequate amount of sleeping hours in parallel to a coaching process, copying the phases of alignment , plan and commit , and task execution .…”

Section: Introductionmentioning

confidence: 99%

Communication Styles of Interactive Tools for Self-Improvement

Niess

Diefenbach

2016

Psych Well-Being

View full text Add to dashboard Cite

BackgroundInteractive products for self-improvement (e.g., online trainings to reduce stress, fitness gadgets) have become increasingly popular among consumers and healthcare providers. In line with the idea of positive computing, these tools aim to support their users on their way to improved well-being and human flourishing. As an interdisciplinary domain, the design of self-improvement technologies requires psychological, technological, and design expertise. One needs to know how to support people in behavior change, and one needs to find ways to do this through technology design. However, as recent reviews show, the interlocking relationship between these disciplines is still improvable. Many existing technologies for self-improvement neglect psychological theory on behavior change, especially motivational factors are not sufficiently considered. To counteract this, we suggest a focus on the dialog and emerging communication between product and user, considering the self-improvement tool as an interactive coach and advisor.MethodsThe present qualitative interview study (N = 18) explored the user experience of self-improvement technologies. A special focus was on the perceived dialog between tool and user, which we analyzed in terms of models from communication psychology.ResultsOur findings show that users are sensible to the way the product “speaks to them” and consider this as essential for their experience and successful change. Analysis revealed different communication styles of self-improvement tools (e.g., helpful-cooperative, rational-distanced, critical-aggressive), each linked to specific emotional consequences.ConclusionsThese findings form one starting point for a more psychologically founded design of self-improvement technology. On a more general level, our approach aims to contribute to a better integration of psychological and technological knowledge, and in consequence, supporting users on their way to enhanced well-being.

show abstract

“…In addition to describing the exercise, using a combination of demonstration and guidance that he feels is most appropriate. By assessing a One possible enhancement, to the StableBelt would be to adopt a variation of the concepts present in the ELIZA system conceived by Prof. Weizenbaum in 60's, which continues to serve as inspiration to researchers today (Weizenbaum, 1976;Duggan, 2016;Beun, et al, 2016). In the StableBelt implementation, instead of text input the StableBelt would use motion sensor data to trigger timely verbal encouragement.…”

Section: Assist or Substitute The Physical Therapistmentioning

confidence: 99%

“…Another paper exploring unsupervised use of health technology, Beun (2016) implemented an automated e-coaching mobile system that used persuasive strategies improve adherence to self-help therapies without human interference (Beun, et al, 2016). The e-coaching system was developed for the domain of insomnia therapy, used natural language conversation and social strategies to improve motivation.…”

Section: Assist or Substitute The Physical Therapistmentioning

confidence: 99%

“…One enhancement, to the StableBelt, would be to adopt a variation of the concepts of the ELIZA system (Weizenbaum, 1976;Duggan 2016;Beun et al 2016), where instead of text input, the StableBelt would use motion sensor data to trigger timely verbal encouragement. This was partly suggested by participant A, during the interview in the fourth cycle test, in one of his comments:…”

Section: Assist or Substitute The Physical Therapistmentioning

confidence: 99%

See 1 more Smart Citation

Stablebelt: Wearables in Core Stabilization

ISMÉRIO¹

View full text Add to dashboard Cite

Improving Adherence in Automated e-Coaching

Cited by 29 publications

References 19 publications

Negotiation in Automated E-Coaching

Negotiation in Automated E-Coaching

Communication Styles of Interactive Tools for Self-Improvement

Stablebelt: Wearables in Core Stabilization

Contact Info

Product

Resources

About