scholarly journals A Case Study of MasterMind Chess: Comparing Mouse/Keyboard Interaction with Kinect-Based Gestural Interface

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Gabriel Alves Mendes Vasiljevic ◽  
Leonardo Cunha de Miranda ◽  
Erica Esteves Cunha de Miranda
Keyword(s):  
Lessons Learned ◽  
Control Mechanisms ◽  
Skill Levels ◽  
Board Games ◽  
Gestural Interfaces ◽  
Gestural Interaction ◽  
Gestural Interface ◽  
Chess Game ◽  
New Type

As gestural interfaces emerged as a new type of user interface, their use has been vastly explored by the entertainment industry to better immerse the player in games. Despite being mainly used in dance and sports games, little use was made of gestural interaction in more slow-paced genres, such as board games. In this work, we present a Kinect-based gestural interface for an online and multiplayer chess game and describe a case study with users with different playing skill levels. Comparing the mouse/keyboard interaction with the gesture-based interaction, the results of the activity were synthesized into lessons learned regarding general usability and design of game control mechanisms. These results could be applied to slow-paced board games like chess. Our findings indicate that gestural interfaces may not be suitable for competitive chess matches, yet it can be fun to play while using them in casual matches.

Faculty Development: A Stage Model Matched to Blended Learning Maturation

2011 ◽  
Vol 15 (1) ◽  
Author(s):  
Michael L. Fetters ◽  
Tova Garcia Duby
Keyword(s):  
Faculty Development ◽  
Blended Learning ◽  
Lessons Learned ◽  
Technology Enhanced Learning ◽  
Stage Model ◽  
Years Of Experience ◽  
Development Programs ◽  
Curriculum Innovation ◽  
Enhanced Learning

Faculty development programs are critical to the implementation and support of curriculum innovation. In this case study, the authors present lessons learned from ten years of experience in faculty development programs created to support innovation in technology enhanced learning. Stages of curriculum innovation are matched to stages of faculty development, and important lessons for success as well as current challenges are delineated and discussed.

Radical Subject Acceleration for Gifted Students: One School's Response

2019 ◽  
pp. 29-46
Author(s):  
Kaye Chalwell ◽  
Therese Cumming
Keyword(s):  
Gifted And Talented ◽  
Gifted Students ◽  
Subject Area ◽  
Lessons Learned ◽  
Gifted Student ◽  
Learning Needs ◽  
Mathematically Gifted ◽  
Support Students ◽  
Insight Into

Radical subject acceleration, or moving students through a subject area faster than is typical, including skipping grades, is a widely accepted approach to support students who are gifted and talented. This is done in order to match the student’s cognitive level and learning needs. This case study explored radical subject acceleration for gifted students by focusing on one school’s response to the learning needs of a ten year old mathematically gifted student. It provides insight into the challenges, accommodations and approach to radical subject acceleration in an Australian school. It explored the processes and decisions made to ensure that a gifted student’s learning needs were met and identified salient issues for radical subject acceleration. Lessons learned from this case study may be helpful for schools considering radical acceleration.

Paper2Wire – A Case Study of User-Centred Development of Machine Learning Tools for UX Designers

i-com ◽  
2021 ◽  
Vol 20 (1) ◽  
pp. 19-32
Author(s):  
Daniel Buschek ◽  
Charlotte Anlauff ◽  
Florian Lachner
Keyword(s):  
Machine Learning ◽  
Development Process ◽  
User Study ◽  
Concept Development ◽  
Lessons Learned ◽  
Design Tool ◽  
Learning Tools ◽  
Interface Elements ◽  
Industry Partner

Abstract This paper reflects on a case study of a user-centred concept development process for a Machine Learning (ML) based design tool, conducted at an industry partner. The resulting concept uses ML to match graphical user interface elements in sketches on paper to their digital counterparts to create consistent wireframes. A user study (N=20) with a working prototype shows that this concept is preferred by designers, compared to the previous manual procedure. Reflecting on our process and findings we discuss lessons learned for developing ML tools that respect practitioners’ needs and practices.

scholarly journals Trusting the Corona-Warn-App? Contemplations on trust and trustworthiness at the intersection of technology, politics and public debate

2021 ◽  
pp. 026732312110283
Author(s):  
Judith Simon ◽  
Gernot Rieder
Keyword(s):  
Technology Development ◽  
Public Debate ◽  
Lessons Learned ◽  
Initial Development ◽  
The Public ◽  
Public Debates ◽  
Moral Duties ◽  
Moral Demands

Ever since the outbreak of the COVID-19 pandemic, questions of whom or what to trust have become paramount. This article examines the public debates surrounding the initial development of the German Corona-Warn-App in 2020 as a case study to analyse such questions at the intersection of trust and trustworthiness in technology development, design and oversight. Providing some insights into the nature and dynamics of trust and trustworthiness, we argue that (a) trust is only desirable and justified if placed well, that is, if directed at those being trustworthy; that (b) trust and trustworthiness come in degrees and have both epistemic and moral components; and that (c) such a normatively demanding understanding of trust excludes technologies as proper objects of trust and requires that trust is directed at socio-technical assemblages consisting of both humans and artefacts. We conclude with some lessons learned from our case study, highlighting the epistemic and moral demands for trustworthy technology development as well as for public debates about such technologies, which ultimately requires attributing epistemic and moral duties to all actors involved.

scholarly journals Better state pictures facilitating state machine characteristic conjecture

2021 ◽  
Author(s):  
Dang Duy Bui ◽  
Kazuhiro Ogata
Keyword(s):  
Virtual Machines ◽  
Mutual Exclusion ◽  
State Machine ◽  
Formal Proof ◽  
The State ◽  
Lessons Learned ◽  
Java Virtual Machines ◽  
Core Part ◽  
Proximity Principle

AbstractThe mutual exclusion protocol invented by Mellor-Crummey and Scott (called MCS protocol) is used to exemplify that state picture designs based on which the state machine graphical animation (SMGA) tool produces graphical animations should be better visualized. Variants of MCS protocol have been used in Java virtual machines and therefore the 2006 Edsger W. Dijkstra Prize in Distributed Computing went to their paper on MCS protocol. The new state picture design of a state machine formalizing MCS protocol is assessed based on Gestalt principles, more specifically proximity principle and similarity principle. We report on a core part of a formal verification case study in which the new state picture design and the SMGA tool largely contributed to the successful completion of the formal proof that MCS protocol enjoys the mutual exclusion property. The lessons learned acquired through our experiments are summarized as two groups of tips. The first group is some new tips on how to make state picture designs. The second one is some tips on how to conjecture state machine characteristics by using the SMGA tool. We also report on one more case study in which the state picture design has been made for the mutual exclusion protocol invented by Anderson (called Anderson protocol) and some characteristics of the protocol have been discovered based on the tips.

Deep learning and complex network theory based analysis on socialized manufacturing resources utilisations and an application case study

2021 ◽  
pp. 1063293X2110031
Author(s):  
Maolin Yang ◽  
Auwal H Abubakar ◽  
Pingyu Jiang
Keyword(s):  
Deep Learning ◽  
Complex Network ◽  
Network Models ◽  
Neural Network Models ◽  
Complex Network Theory ◽  
New Type ◽  
Manufacturing Resource ◽  
Manufacturing Resources ◽  
Resource Characteristics

Social manufacturing is characterized by its capability of utilizing socialized manufacturing resources to achieve value adding. Recently, a new type of social manufacturing pattern emerges and shows potential for core factories to improve their limited manufacturing capabilities by utilizing the resources from outside socialized manufacturing resource communities. However, the core factories need to analyze the resource characteristics of the socialized resource communities before making operation plans, and this is challenging due to the unaffiliated and self-driven characteristics of the resource providers in socialized resource communities. In this paper, a deep learning and complex network based approach is established to address this challenge by using socialized designer community for demonstration. Firstly, convolutional neural network models are trained to identify the design resource characteristics of each socialized designer in designer community according to the interaction texts posted by the socialized designer on internet platforms. During the process, an iterative dataset labelling method is established to reduce the time cost for training set labelling. Secondly, complex networks are used to model the design resource characteristics of the community according to the resource characteristics of all the socialized designers in the community. Two real communities from RepRap 3D printer project are used as case study.

Access Control Mechanisms in Named Data Networks

2021 ◽  
Vol 54 (3) ◽  
pp. 1-35
Author(s):  
Boubakr Nour ◽  
Hakima Khelifi ◽  
Rasheed Hussain ◽  
Spyridon Mastorakis ◽  
Hassine Moungla
Keyword(s):  
Access Control ◽  
Holistic Approach ◽  
Future Internet ◽  
Lessons Learned ◽  
Future Research ◽  
Communication Model ◽  
Control Mechanisms ◽  
Internet Communication ◽  
Future Internet Architecture ◽  
Comprehensive Survey

Information-Centric Networking (ICN) has recently emerged as a prominent candidate for the Future Internet Architecture (FIA) that addresses existing issues with the host-centric communication model of the current TCP/IP-based Internet. Named Data Networking (NDN) is one of the most recent and active ICN architectures that provides a clean-slate approach for Internet communication. NDN provides intrinsic content security where security is directly provided to the content instead of communication channel. Among other security aspects, Access Control (AC) rules specify the privileges for the entities that can access the content. In TCP/IP-based AC systems, due to the client-server communication model, the servers control which client can access a particular content. In contrast, ICN-based networks use content names to drive communication and decouple the content from its original location. This phenomenon leads to the loss of control over the content, causing different challenges for the realization of efficient AC mechanisms. To date, considerable efforts have been made to develop various AC mechanisms in NDN. In this article, we provide a detailed and comprehensive survey of the AC mechanisms in NDN. We follow a holistic approach towards AC in NDN where we first summarize the ICN paradigm, describe the changes from channel-based security to content-based security, and highlight different cryptographic algorithms and security protocols in NDN. We then classify the existing AC mechanisms into two main categories: Encryption-based AC and Encryption-independent AC . Each category has different classes based on the working principle of AC (e.g., Attribute-based AC, Name-based AC, Identity-based AC). Finally, we present the lessons learned from the existing AC mechanisms and identify the challenges of NDN-based AC at large, highlighting future research directions for the community.

Evaluating a Functional Family Therapy Intervention: Challenges and Lessons Learned

2021 ◽  
pp. 104973152098560 ◽  
Author(s):  
Katarzyna Celinska
Keyword(s):  
Family Therapy ◽  
Service Providers ◽  
Evaluation Research ◽  
Evaluation Process ◽  
Outcome Evaluation ◽  
Lessons Learned ◽  
Functional Family Therapy ◽  
Functional Family ◽  
Family Based

Purpose: This case study is the introspective account of the evaluation process of Functional Family Therapy (FFT) as implemented in Middlesex County in New Jersey between 2005 and 2011. The study presents challenges and issues in evaluation falling into three main categories. Methods: The case study is based on the recollections and documented experiences of the author who was responsible for all major aspects of the evaluation including designing the study, collecting the data, and handling daily evaluation activities. Results: The author differentiated among three main categories of challenges. In respect to research design, the relative merits of experimental versus nonexperimental designs and quantitative versus qualitative research methods are discussed. The second set of issues involves developing and exercising the social competence skills necessary to form working partnerships with service providers. The third set encompasses logistical barriers encountered during daily evaluation activities. Conclusions: The challenges and lessons learned from conducting the outcome evaluation of FFT are situated within scholarly debates on evaluation research, with the goal of providing further insights into the on-the-ground implementation and process of program evaluations. The experiences, recollections and processes illustrate challenges and solutions applicable to evaluations of other family-based violence prevention interventions.

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