A grammar for zooming interfaces: using interaction design strategies to improve user’s navigation and spatial awareness

2001 ◽  
Vol 10 (3) ◽  
pp. 250-257 ◽  
Author(s):  
Deborah Rogers
Keyword(s):  
Cognitive Psychology ◽  
Interaction Design ◽  
Data Access ◽  
Spatial Awareness ◽  
Design Strategies ◽  
New Techniques ◽  
Information Displays ◽  
Navigational Cues

As demand increases for systems that view and retrieve large amounts of data, designers and engineers are trying new techniques for data access. One approach that has gained momentum is the area of zooming mechanisms. Zooming interactions offer a variety of benefits. Zooming mechanisms on their own are not sufficient for creating meaningful, dense information interfaces. This paper adapts concepts from wayfinding research, cognitive psychology, and interaction design to improve navigational cues with information displays of zooming interfaces.

scholarly journals Using UX/UI design theory to increase dog adoption awareness

2021 ◽  
Author(s):  
Joanna Tsai
Keyword(s):  
Interaction Design ◽  
Interface Design ◽  
Design Theory ◽  
User Interaction ◽  
New Techniques ◽  
Ui Design

My project explores the uses of new techniques, colour theories and user interaction design, experimentally deployed through an app experience. Following the theories of X, and by way of example through a low fidelity app prototype, this minimal viable product attempts to address current UI/UX theories and methodologies, while at the same time, trying to address new modes of interface design and user interaction.

A novel method for providing relational databases with rich semantics and natural language processing

2017 ◽  
Vol 30 (3) ◽  
pp. 503-525
Author(s):  
Kamal Hamaz ◽  
Fouzia Benchikha
Keyword(s):  
Natural Language ◽  
Data Storage ◽  
Language Processing ◽  
Relational Database ◽  
Relational Databases ◽  
Data Access ◽  
New Techniques ◽  
Content Type ◽  
Semantic Tree ◽  
Novel Method

Purpose With the development of systems and applications, the number of users interacting with databases has increased considerably. The relational database model is still considered as the most used model for data storage and manipulation. However, it does not offer any semantic support for the stored data which can facilitate data access for the users. Indeed, a large number of users are intimidated when retrieving data because they are non-technical or have little technical knowledge. To overcome this problem, researchers are continuously developing new techniques for Natural Language Interfaces to Databases (NLIDB). Nowadays, the usage of existing NLIDBs is not widespread due to their deficiencies in understanding natural language (NL) queries. In this sense, the purpose of this paper is to propose a novel method for an intelligent understanding of NL queries using semantically enriched database sources. Design/methodology/approach First a reverse engineering process is applied to extract relational database hidden semantics. In the second step, the extracted semantics are enriched further using a domain ontology. After this, all semantics are stored in the same relational database. The phase of processing NL queries uses the stored semantics to generate a semantic tree. Findings The evaluation part of the work shows the advantages of using a semantically enriched database source to understand NL queries. Additionally, enriching a relational database has given more flexibility to understand contextual and synonymous words that may be used in a NL query. Originality/value Existing NLIDBs are not yet a standard option for interfacing a relational database due to their lack for understanding NL queries. Indeed, the techniques used in the literature have their limits. This paper handles those limits by identifying the NL elements by their semantic nature in order to generate a semantic tree. This last is a key solution towards an intelligent understanding of NL queries to relational databases.

A nearest-neighbor algorithm for targeted interaction design in social outreach campaigns

Kybernetes ◽  
2016 ◽  
Vol 45 (8) ◽  
pp. 1243-1256 ◽  
Author(s):  
Christopher Garcia
Keyword(s):  
Interaction Design ◽  
Nearest Neighbor ◽  
Positive Response ◽  
Public Awareness ◽  
Response Rates ◽  
Design Strategies ◽  
Content Type ◽  
Solution Approach ◽  
Simulation Based ◽  
Social Outreach

Purpose Organizations rely on social outreach campaigns to raise financial support, recruit volunteers, and increase public awareness. In order to maximize response rates, organizations face the challenging problem of designing appropriately tailored interactions for each user. An interaction consists of a specific combination of message, media channel, sender, tone, and possibly many other attributes. The purpose of this paper is to address the problem of how to design tailored interactions for each user to maximize the probability of a desired response. Design/methodology/approach A nearest-neighbor (NN) algorithm is developed for interaction design. Simulation-based experiments are then conducted to compare positive response rates obtained by two forms of this algorithm against that of several control interaction design strategies. A factorial experimental design is employed which varies three user population factors in a combinatorial manner, allowing the methods to be compared across eight distinct scenarios. Findings The NN algorithms significantly outperformed all three controls in seven out of the eight scenarios. Increases in response rates ranging from approximately 20 to 400 percent were observed. Practical implications This work proposes a data-oriented method for designing tailored interactions for individual users in social outreach campaigns which can enable significant increases in positive response rates. Additionally, the proposed algorithm is relatively easy to implement. Originality/value The problem of optimal interaction design in social outreach campaigns is scarcely addressed in the literature. This work proposes an effective and easy to implement solution approach for this problem.

scholarly journals Setting the stage for service experience: design strategies for functional services

2016 ◽  
Vol 27 (5) ◽  
pp. 751-772 ◽  
Author(s):  
Ahmad Beltagui ◽  
Marina Candi ◽  
Johann C.K.H. Riedel
Keyword(s):  
User Experience ◽  
Interaction Design ◽  
Service Management ◽  
Emotional Experience ◽  
Service Design ◽  
Relationship Building ◽  
Service Firms ◽  
Design Strategies ◽  
Service Experience ◽  
Content Type

Purpose The purpose of this paper is to identify service design strategies to improve outcome-oriented services by enhancing consumers’ emotional experience, while overcoming customer variability. Design/methodology/approach An abductive, multiple-case study involves 12 service firms from diverse online and offline service sectors. Findings Overall, six service design strategies represent two overarching themes: customer empowerment can involve design for typical customers, visibility, and community building, while customer accommodation can involve design for personas, invisibility, and relationship building. Using these strategies helps set the stage for a service to offer an emotional experience. Research limitations/implications The study offers a first step toward combining investigations of service experience and user experience. Further research can strengthen these links. Practical implications The six design strategies described using examples from case research offer managerial recommendations. In particular, these strategies can help service managers address the customer-induced variability inherent in services. Originality/value Extant studies of experience staging have focused on particular sectors such as hospitality and leisure; this study contributes by investigating outcome-focused services and identifying strategies to create unique experiences that offset variability. It also represents a rare effort to combine research from service management and interaction design, shedding light on the link between service experience and user experience.

scholarly journals Unmet information needs of clinical teams delivering care to complex patients and design strategies to address those needs

2020 ◽  
Vol 27 (5) ◽  
pp. 690-699 ◽  
Author(s):  
Deborah J Cohen ◽  
Tamar Wyte-Lake ◽  
David A Dorr ◽  
Rachel Gold ◽  
Richard J Holden ◽  
...  
Keyword(s):  
Community Health ◽  
Information Needs ◽  
Community Health Centers ◽  
Design Principles ◽  
Health Centers ◽  
Comparative Approach ◽  
Design Strategies ◽  
Information Displays ◽  
Complex Patients

Abstract Objectives To identify the unmet information needs of clinical teams delivering care to patients with complex medical, social, and economic needs; and to propose principles for redesigning electronic health records (EHR) to address these needs. Materials and Methods In this observational study, we interviewed and observed care teams in 9 community health centers in Oregon and Washington to understand their use of the EHR when caring for patients with complex medical and socioeconomic needs. Data were analyzed using a comparative approach to identify EHR users’ information needs, which were then used to produce EHR design principles. Results Analyses of > 300 hours of observations and 51 interviews identified 4 major categories of information needs related to: consistency of social determinants of health (SDH) documentation; SDH information prioritization and changes to this prioritization; initiation and follow-up of community resource referrals; and timely communication of SDH information. Within these categories were 10 unmet information needs to be addressed by EHR designers. We propose the following EHR design principles to address these needs: enhance the flexibility of EHR documentation workflows; expand the ability to exchange information within teams and between systems; balance innovation and standardization of health information technology systems; organize and simplify information displays; and prioritize and reduce information. Conclusion Developing EHR tools that are simple, accessible, easy to use, and able to be updated by a range of professionals is critical. The identified information needs and design principles should inform developers and implementers working in community health centers and other settings where complex patients receive care.

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