Designing and personalising systems for specific user groups encompasses a lot of effort with respect to analysing and understanding user behaviour. The goal of our paper is to provide a new methodology for determining navigational patterns of behaviour of specific user groups. We consider agricultural users as a specific user group, during the usage of a decision support system supporting cultivar selection - OPTIRas(TM). Combining process mining techniques with insights from decision making theories, we provide a method of analysing logs resulted from usage of decision support systems. For instance, farmers show difficulties in fulfilling the goal of OPTIRas, while other agricultural users seems to manage better. The results of our analysis can be used to support the redesign and personalization of decision support systems.
LINK
Redesigning IT systems for specific user groups encompasses a lot of effort with respect to analysing and understanding user behaviour. The goal of this paper is to provide insights into patterns of behaviour of agricultural users, during the usage of a decision support system called OPTIRas (TM). This system aids agricultural users in their cultivar selection activities. We analyse logs resulting from OPTIRas (TM), and we get insights into user's navigational patterns. We claim that the results of our analysis can be used to support the redesign of decision support systems in order to address specific agricultural users' characteristics.
DOCUMENT
(‘Co’-)Designing for healthy behaviour greatly benefits from integrating insights about individual behaviour and systemic influences. This study reports our experiences in using insights about individual and systemic determinants of behaviour to inform a large co-design project. To do so, we used two design tools that encourage focusing on individual determinants (Behavioural Lenses Approach) and social / systemic aspects of behaviour (Socionas). We performed a qualitative analysis to identify 1) when and how the team applied the design tools, and 2) how the tools supported or obstructed the design process. The results show that both tools had their distinctive uses during the process. Both tools improved the co-design process by deepening the conversations and underpinnings of the prototypes. Using the Behavioural Lenses under the guidance of a behavioural expert proved most beneficial. Furthermore, the Socionas showed the most potential when interacting with stakeholders, i.c. parents and PPTs.
MULTIFILE
Creating and testing the first Brand Segmentation Model in Augmented Reality using Microsoft Hololens. Sanoma together with SAMR launched an online brand segmentation tool based on large scale research, The brand model uses several brand values divided over three axes. However they cannot be displayed clearly in a 2D model. The space of BSR Quality Planner can be seen as a 3-dimensional meaningful space that is defined by the terms used to typify the brands. The third axis concerns a behaviour-based dimension: from ‘quirky behaviour’ to ‘standardadjusted behaviour’ (respectful, tolerant, solidarity). ‘Virtual/augmented reality’ does make it possible to clearly display (and experience) 3D. The Academy for Digital Entertainment (ADE) of Breda University of Applied Sciences has created the BSR Quality Planner in Virtual Reality – as a hologram. It’s the world’s first segmentation model in AR. Breda University of Applied Sciences (professorship Digital Media Concepts) has deployed hologram technology in order to use and demonstrate the planning tool in 3D. The Microsoft HoloLens can be used to experience the model in 3D while the user still sees the actual surroundings (unlike VR, with AR the space in which the user is active remains visible). The HoloLens is wireless, so the user can easily walk around the hologram. The device is operated using finger gestures, eye movements or voice commands. On a computer screen, other people who are present can watch along with the user. Research showed the added value of the AR model.Partners:Sanoma MediaMarketResponse (SAMR)
Alcohol use disorder (AUD) is a pattern of alcohol use that involves having trouble controlling drinking behaviour, even when it causes health issues (addiction) or problems functioning in daily (social and professional) life. Moreover, festivals are a common place where large crowds of festival-goers experience challenges refusing or controlling alcohol and substance use. Studies have shown that interventions at festivals are still very problematic. ARise is the first project that wants to help prevent AUD at festivals using Augmented Reality (AR) as a tool to help people, particular festival visitors, to say no to alcohol (and other substances). ARise is based on the on the first Augmented Reality Exposure Therapy (ARET) in the world that we developed for clinical treatment of AUD. It is an AR smartphone driven application in which (potential) visitors are confronted with virtual humans that will try to seduce the user to accept an alcoholic beverage. These virtual humans are projected in the real physical context (of a festival), using innovative AR glasses. Using intuitive phone, voice and gesture interactions, it allows users to personalize the safe experience by choosing different drinks and virtual humans with different looks and levels of realism. ARET has been successfully developed and tested on (former) AUD patients within a clinical setting. Research with patients and healthcare specialists revealed the wish to further develop ARET as a prevention tool to reach people before being diagnosed with AUD and to extend the application for other substances (smoking and pills). In this project, festival visitors will experience ARise and provide feedback on the following topics: (a) experience, (b) awareness and confidence to refuse alcohol drinks, (c) intention to use ARise, (d) usability & efficiency (the level of realism needed), and (e) ideas on how to extend ARise with new substances.
Kinderen met een autisme spectrum stoornis (ASS) kunnen zich vaak moeilijk in anderen verplaatsen en hebben moeite met sociale interactie. In de behandeling van kinderen met ASS wordt ingezet op het trainen van deze sociale vaardigheden (SoVa). SoVa-trainingen hebben echter te weinig effect. Het probleem van de huidige sociale vaardigheidstraining (SoVa) is enerzijds het gebrek aan motivatie bij kinderen met ASS om de training vol te houden en anderzijds de beperkte toepassing van dat wat in de SoVa training wordt geleerd naar het dagelijks leven. Zorgprofessionals concluderen dat aanpassing van de werkvormen gewenst is en hiervoor is een innovatieve blik nodig. De professionals willen nadrukkelijk kijken naar de inzet van digitale toepassingen. Om het effect van de SoVa-trainingen te vergroten wordt in dit project een zgn. Behaviour Change Support System (BCSS) ontwikkeld. Dit BCSS zal bestaan uit een aantal (digitale) toepassingen die met elkaar een logisch samenhangend geheel vormen, passend bij de doelen en methodische kaders die professionals hanteren in de SoVa-trainingen. De toepassingen moeten een set van op maat aan te bieden interventies zijn, gericht op belangrijke c.q. vaak benodigde vaardigheden in sociale interactie. Naast de ontwikkeling van het BCSS richt het project zich ook op het delen van kennis die gegenereerd wordt gedurende het ontwikkelproces van dit BCSS. Het project is een samenwerkingsverband tussen de lectoraten Zorg voor Jeugd, Zorg & Innovatie in de Psychiatrie en iHuman (NHL Hogeschool), het lectoraat User- Centered Design (Hanzehogeschool) en het lectoraat ICT innovatie in de Zorg (Windesheim). Daarnaast wordt samengewerkt met zorgaanbieders van kinder en jeugdpsychiatrie in Noord Nederland (Accare, Kinnik en GGZ Drenthe), diverse scholen basis- en voortgezet onderwijs in Noord-Nederland, het RGOc, de RUG en het kenniscentrum Kinder en Jeugdpsychiatrie. De ontwikkeling van de digitale toepassingen wordt gedaan door 8Dgames.