Evaluating the impact of proactivity in the user experience of a context-aware restaurant recommender for Android smartphones

2013 ◽  
Vol 59 (9) ◽  
pp. 748-758 ◽  
Author(s):  
Daniel Gallego ◽  
Wolfgang Woerndl ◽  
Gabriel Huecas
2020 ◽  
Author(s):  
Lungwani Muungo

The effectiveness of any biomedical prevention technology relies on both biological efficacy and behavioraladherence. Microbicide trials have been hampered by low adherence, limiting the ability to draw meaningfulconclusions about product effectiveness. Central to this problem may be an inadequate conceptualization of howproduct properties themselves impact user experience and adherence. Our goal is to expand the current microbicidedevelopment framework to include product ‘‘perceptibility,’’ the objective measurement of user sensoryperceptions (i.e., sensations) and experiences of formulation performance during use. For vaginal gels, a setof biophysical properties, including rheological properties and measures of spreading and retention, may criticallyimpact user experiences. Project LINK sought to characterize the user experience in this regard, and tovalidate measures of user sensory perceptions and experiences (USPEs) using four prototype topical vaginal gelformulations designed for pericoital use. Perceptibility scales captured a range of USPEs during the productapplication process (five scales), ambulation after product insertion (six scales), and during sexual activity (eightscales). Comparative statistical analyses provided empirical support for hypothesized relationships between gelproperties, spreading performance, and the user experience. Project LINK provides preliminary evidence for theutility of evaluating USPEs, introducing a paradigm shift in the field of microbicide formulation design. Wepropose that these user sensory perceptions and experiences initiate cognitive processes in users resulting inproduct choice and willingness-to-use. By understanding the impact of USPEs on that process, formulationdevelopment can optimize both drug delivery and adherence.


2021 ◽  
Vol 13 (14) ◽  
pp. 7871
Author(s):  
Dwayne Jefferson ◽  
Frederick Paige ◽  
Philip Agee ◽  
France Jackson

To improve the construction industry’s capacity to deliver sustainable infrastructure, guidance on delivering green building systems needs to be more usable. Green buildings have certifications and ratings in place that ensure that projects are environmentally responsible and meet standards in resource efficiency. EarthCraft Multifamily (ECMF), an evolving green building certification, has been successful in increasing the delivery of energy-efficient affordable housing, and this study leverages user experience (UX) methodologies to understand how to further improve ECMF and replicate its success. This study identifies the impact ECMF tools and resources, such as the program manual, worksheet, and technical guidelines, have on enhancing project delivery for architects. This study conducted data analysis on project specifications, heuristic evaluation data, and stakeholder interview data. As the strengths and weaknesses of ECMF were identified, knowledge on the usability of the green building certification program was unveiled. Heuristic evaluations data show that accessibility and usability issues are present in ECMF resources. Interview data show that architects’ experiences with ECMF resources were affected by some of the usability issues identified in the heuristic evaluation data. Coded interview transcripts show the most prominent participant-identified improvements represented within the data. Resources need appropriate visual representation such as readability and hierarchy to improve their usability. Understanding how ECMF resources are utilized during project delivery allows for the appropriate content and options to be strategically framed to improve accessibility and enhance user decision making. ECMF resources can allow for the inclusion of a broader set of stakeholders by lowering the level of expertise required for sustainable infrastructure delivery.


10.2196/31737 ◽  
2021 ◽  
Vol 23 (12) ◽  
pp. e31737
Author(s):  
Rachel G Curtis ◽  
Bethany Bartel ◽  
Ty Ferguson ◽  
Henry T Blake ◽  
Celine Northcott ◽  
...  

Background Virtual assistants can be used to deliver innovative health programs that provide appealing, personalized, and convenient health advice and support at scale and low cost. Design characteristics that influence the look and feel of the virtual assistant, such as visual appearance or language features, may significantly influence users’ experience and engagement with the assistant. Objective This scoping review aims to provide an overview of the experimental research examining how design characteristics of virtual health assistants affect user experience, summarize research findings of experimental research examining how design characteristics of virtual health assistants affect user experience, and provide recommendations for the design of virtual health assistants if sufficient evidence exists. Methods We searched 5 electronic databases (Web of Science, MEDLINE, Embase, PsycINFO, and ACM Digital Library) to identify the studies that used an experimental design to compare the effects of design characteristics between 2 or more versions of an interactive virtual health assistant on user experience among adults. Data were synthesized descriptively. Health domains, design characteristics, and outcomes were categorized, and descriptive statistics were used to summarize the body of research. Results for each study were categorized as positive, negative, or no effect, and a matrix of the design characteristics and outcome categories was constructed to summarize the findings. Results The database searches identified 6879 articles after the removal of duplicates. We included 48 articles representing 45 unique studies in the review. The most common health domains were mental health and physical activity. Studies most commonly examined design characteristics in the categories of visual design or conversational style and relational behavior and assessed outcomes in the categories of personality, satisfaction, relationship, or use intention. Over half of the design characteristics were examined by only 1 study. Results suggest that empathy and relational behavior and self-disclosure are related to more positive user experience. Results also suggest that if a human-like avatar is used, realistic rendering and medical attire may potentially be related to more positive user experience; however, more research is needed to confirm this. Conclusions There is a growing body of scientific evidence examining the impact of virtual health assistants’ design characteristics on user experience. Taken together, data suggest that the look and feel of a virtual health assistant does affect user experience. Virtual health assistants that show empathy, display nonverbal relational behaviors, and disclose personal information about themselves achieve better user experience. At present, the evidence base is broad, and the studies are typically small in scale and highly heterogeneous. Further research, particularly using longitudinal research designs with repeated user interactions, is needed to inform the optimal design of virtual health assistants.


2020 ◽  
Author(s):  
Diandre de Paula ◽  
Daniel Saraiva ◽  
Romeiro Natália ◽  
Nuno Garcia ◽  
Valderi Leithardt

With the growth of ubiquitous computing, context-aware computing-based applications are increasingly emerging, and these applications demonstrate the impact that context has on the adaptation process. From the context, it will be possible to adapt the application according to the requirements and needs of its users. Therefore, the quality of the context information must be guaranteed so that the application does not have an incorrect or unexpected adaptation process. But like any given data, there is the possibility of inaccuracy and/or uncertainty and so Quality of Context (QoC) plays a key role in ensuring the quality of context information and optimizing the adaptation process. To guarantee the Quality of Context it is necessary to study a quality model to be created, which will have the important function of evaluating the context information. Thus, it is necessary to ensure that the parameters and quality indicators to be used and evaluated are the most appropriate for a given type of application. This paper aims to study a context quality model for the UbiPri middleware, defining its quality indicators to ensure its proper functioning in the process of adaptation in granting access to ubiquitous environments. Keywords: QoC, Model, Context-Aware, Data, Privacy


PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e4439 ◽  
Author(s):  
Meinald T. Thielsch ◽  
Carolin Thielsch

Background Depression, as one of the most prevalent mental disorders, is expected to become a leading cause of disability. While evidence-based treatments are not always easily accessible, Internet-based information and self-help appears as a promising approach to improve the strained supply situation by avoiding barriers of traditional offline treatment. User experience in the domain of mental problems therefore emerges as an important research topic. The aim of our study is to investigate the impact of depressive symptoms on subjective and objective measures of web user experience. Method In this two-part online study (Ntotal = 721) we investigate the relationship between depressive symptoms of web users and basic website characteristics (i.e., content, subjective and objective usability, aesthetics). Participants completed search and memory tasks on different fully-functional websites. In addition, they were asked to evaluate the given websites with standardized measures and were screened for symptoms of depression using the PHQ-9. We used structural equation modeling (SEM) to determine whether depression severity affects users’ perception of and performance in using information websites. Results We found significant associations between depressive symptoms and subjective user experience, specifically of website content, usability, and aesthetics, as well as an effect of content perception on the overall appraisal of a website in terms of the intention to visit it again. Small yet significant negative effects of depression severity on all named subjective website evaluations were revealed, leading to an indirect negative effect on the intention to revisit a website via impaired content perceptions. However, objective task performance was not influenced by depressiveness of users. Discussion Depression emerges as capable of altering the subjective perception of a website to some extend with respect to the main features content, usability, and aesthetics. The user experience of a website is crucial, especially as it facilitates revisiting a website and thus might be relevant in avoiding drop-out in online interventions. Thus, the biased impression of persons affected by symptoms of depression and resulting needs of those users should be considered when designing and evaluating E-(Mental)-Health-platforms. The high prevalence of some mental disorders such as depression in the general population stresses the need for further investigations of the found effects.


Author(s):  
Liang Men ◽  
Nick Bryan-Kinns ◽  
Amelia Shivani Hassard ◽  
Zixiang Ma

2021 ◽  
pp. 004728162110419
Author(s):  
Gustav Verhulsdonck ◽  
Tharon Howard ◽  
Jason Tham

Technical and professional communication (TPC) and user experience (UX) design are often seen as intertwined due to being user-centered. Yet, as widening industry positions combine TPC and UX, new streams enrich our understanding. This article looks at three such streams, namely, design thinking, content strategy, and artificial intelligence to uncover specific industry practices, skills, and ways to advocate for users. These streams foster a multistage user-centered methodology focused on a continuous designing process, strategic ways for developing content across different platforms and channels, and for developing in smart contexts where agentive products act for users. In this article, we synthesize these developments and draw out how these impact TPC.


Author(s):  
José Bringel Filho ◽  
Nazim Agoulmine

Ubiquitous Health (U-Health) smart homes are intelligent spaces capable of observing and correctly recognizing the activities and health statuses of their inhabitants (context) to provide the appropriate support to achieve an overall sense of health and well-being in their inhabitants’ daily lives. With the intrinsic heterogeneity and large number of sources of context information, aggregating and reasoning on low-quality raw sensed data may result in conflicting and erroneous evaluations of situations, affecting directly the reliability of the U-Health systems. In this environment, the evaluation and verification of Quality of Context (QoC) information plays a central role in improving the consistency and correctness of context-aware U-Health applications. Therefore, the objective of this chapter is to highlight the impact of QoC on the correct behavior of U-Health systems, and introduce and analyze the existing approaches of modeling, evaluating, and using QoC to improve its context-aware decision-making support.


Author(s):  
Jan Willem Streefkerk ◽  
Myra P. van Esch-Bussemakers ◽  
Mark A. Neerincx ◽  
Rosemarijn Looije

Evaluation refines and validates design solutions in order to establish adequate user experiences. For mobile user interfaces in dynamic and critical environments, user experiences can vary enormously, setting high requirements for evaluation. This chapter presents a framework for the selection, combination, and tuning of evaluation methods. It identifies seven evaluation constraints, that is, the development stage, the complexity of the design, the purpose, participants, setting, duration, and cost of evaluation, which influence the appropriateness of the method. Using a combination of methods in different settings (such as Wizard-of-Oz, game-based, and field evaluations) a concise, complete, and coherent set of user experience data can be gathered, such as performance, situation awareness, trust, and acceptance. Applying this framework to a case study on context-aware mobile interfaces for the police resulted in specific guidelines for selecting evaluation methods and succeeded to capture the mobile context and its relation to the user experience.


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