User Perception of Numeric Contribution Semantics for Goal Models: An Exploratory Experiment

Author(s):  
Norah Alothman ◽  
Mehrnaz Zhian ◽  
Sotirios Liaskos
Author(s):  
Jennifer Horkoff ◽  
Eric Yu

Understanding and analyzing the needs of an enterprise in the early stages of a project requires knowledge about stakeholders, their goals, interactions, and alternative actions. Agent-goal models offer a way to systematically and graphically capture this information, even as it evolves through continued elicitation. However, the complexity of resulting models makes it difficult to evaluate the achievement of key stakeholder goals within a model without applying systematic analysis procedures. Existing approaches to agent-goal model evaluation focus on automated procedures, without explicitly promoting model iteration and domain elicitation. In this paper, the authors argue that “Early” Enterprise modeling requires analysis procedures that account for the incompleteness and informality of early agent-goal models, facilitating iteration, elicitation, and user participation. A qualitative, interactive evaluation procedure for agent-goal models is introduced, using the i* Framework illustrated. Case study experience and results of an exploratory experiment show the applicability of the procedure to early enterprise analysis.


2020 ◽  
Vol 5 (1) ◽  
pp. 40-47
Author(s):  
Ning Sa ◽  
Xiaojun (Jenny) Yuan

AbstractWith the development of mobile technologies, voice search is becoming increasingly important in our daily lives. By investigating the general usage of voice search and user perception about voice search systems, this research aims to understand users’ voice search behavior. We are particularly interested in how users perform voice search, their topics of interest, and their preference toward voice search. We elicit users’ opinions by asking them to fill out an online survey. Results indicated that participants liked voice search because it was convenient. However, voice search was used much less frequently than keyboard search. The success rate of voice search was low, and the participants usually gave up voice search or switched to keyboard search. They tended to perform voice search when they were driving or walking. Moreover, the participants mainly used voice search for simple tasks on mobile devices. The main reasons why participants disliked voice search are attributed to the system mistakes and the fact that they were unable to modify the queries.


Author(s):  
Dahyun Kang ◽  
◽  
Min-Gyu Kim ◽  
Sonya S. Kwak ◽  
◽  
...  

2016 ◽  
Vol 1 (3) ◽  
Author(s):  
Dasimah Omar ◽  
Kamarul Ariff Omar ◽  
Saberi Othman ◽  
Zaharah Mohd Yusoff

The walkability approach is essential to ensure the connectivity among space in the urban area. The design should be appropriate, safety, maximize and capable of reaching every inch of the spaces, just by walking. Good connectivity must allow people to walk freely and accessible in many ways. People have great chances to meet each other or having potential outdoor activities without any challenges. This study aims to measure the user perception of the existing spaces in the urban public housing environment that been covered and uncovered with the walkability linkages. The objectives of this study are to identify the existing pedestrian linkages in the study area; to investigate the user perception of the existing walkability system in the study area, and finally to conclude and provide a better solution for better walkability opportunity among residents to access the public park.© 2016. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK. Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies, Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.Keywords:outdoor space;  pedestrian linkages; public parks; walkability behavior


Author(s):  
V. Thornley ◽  
R. Kemsley ◽  
C. Barbier ◽  
G. Nicholson

Author(s):  
Jiayuan Dong ◽  
Emily Lawson ◽  
Jack Olsen ◽  
Myounghoon Jeon

Driving agents can provide an effective solution to improve drivers’ trust in and to manage interactions with autonomous vehicles. Research has focused on voice-agents, while few have explored robot-agents or the comparison between the two. The present study tested two variables - voice gender and agent embodiment, using conversational scripts. Twenty participants experienced autonomous driving using the simulator for four agent conditions and filled out subjective questionnaires for their perception of each agent. Results showed that the participants perceived the voice only female agent as more likeable, more comfortable, and more competent than other conditions. Their final preference ranking also favored this agent over the others. Interestingly, eye-tracking data showed that embodied agents did not add more visual distractions than the voice only agents. The results are discussed with the traditional gender stereotype, uncanny valley, and participants’ gender. This study can contribute to the design of in-vehicle agents in the autonomous vehicles and future studies are planned to further identify the underlying mechanisms of user perception on different agents.


Electronics ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 900
Author(s):  
Hanseob Kim ◽  
Taehyung Kim ◽  
Myungho Lee ◽  
Gerard Jounghyun Kim ◽  
Jae-In Hwang

Augmented reality (AR) scenes often inadvertently contain real world objects that are not relevant to the main AR content, such as arbitrary passersby on the street. We refer to these real-world objects as content-irrelevant real objects (CIROs). CIROs may distract users from focusing on the AR content and bring about perceptual issues (e.g., depth distortion or physicality conflict). In a prior work, we carried out a comparative experiment investigating the effects on user perception of the AR content by the degree of the visual diminishment of such a CIRO. Our findings revealed that the diminished representation had positive impacts on human perception, such as reducing the distraction and increasing the presence of the AR objects in the real environment. However, in that work, the ground truth test was staged with perfect and artifact-free diminishment. In this work, we applied an actual real-time object diminishment algorithm on the handheld AR platform, which cannot be completely artifact-free in practice, and evaluated its performance both objectively and subjectively. We found that the imperfect diminishment and visual artifacts can negatively affect the subjective user experience.


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