Conceptual Model for an Intelligent Persuasive Driver Assistant

Traffic congestion is a serious issue for large cities.  This is especially critical for cities that has insufficient mass transit system like Bangkok.  Although transportation infrastructure projects and rail mass transit lines are being implemented, these efforts require major financial investment and take a long time to complete.  This work proposes to help reduce traffic problems through influencing a change in driver behavior.  In this initial stage, a model for an intelligent persuasive driver assistant is conceptualized as a voice-interactive smart assistant on a smartphone.  The system uses information about the driver, his physical state, vehicle performance information, and geolocation information to form persuasive strategies to influence driver behavior and to adapt user interfaces and interactions to reduce driver distraction.  Integrating these components together is expected to provide improved assistance in driving tasks and affect driving behavior changes. Keywords: intelligent driver assistant, navigation, smart assistant, persuasive technolog

Towards Improving User Interaction with Navigation Apps: an Information Quality Perspective

Traffic congestion is a major problem for large cities, and with the ubiquitous use of smartphones with GPS capabilities, drivers have increasingly come to rely on navigation applications for avoiding traffic congestion and routing to unfamiliar destinations.  However, in certain situations the suggested route may not be what the user expects and could result in perceived delays over known routes, increased stress and frustration for the driver, or even back tracking.  This has created a situation where drivers perceive that the information provided by navigation applications are not completely reliable and do not follow the suggested routes, thereby reducing the overall effectiveness of congestion avoidance. Additionally, drivers also make additional interaction with the navigation applications to verify the believability of the suggestions routes, creating more distraction and reducing on-road safety.  As such, this preliminary work assesses mobility information quality provided by leading navigation applications (Google Maps and Waze) against four dimensions of the PSP/IQ information quality framework to identify areas for improving information quality in three common driving scenarios.  The results indicate that both apps have similar levels of completeness, concise representation, and consistent representation.  And while the relevancy of the information quality is also similar in both apps, Waze’s representation of the some information elements allowed for quicker comparison and decision making. The findings from this work can be used to enhance user interaction and information presentation in navigation applications in order to improve user perceptions of information quality.Keywords: smart mobility information, mobility information quality, congestion avoidanc

S-Commerce Transactions and Business Models in Southeast Asia: A Case Study in Thailand

Social networking platforms such as Facebook, Instagram and Line have recently gained enormous popularity for commercial purposes among social media users, and is commonly known as C2C social commerce (SC). These new online businesses are continuing to flourish in Southeast Asia especially in Thailand where the C2C-SC market size is significant. To get a clear picture of C2C-SC in Southeast Asia, this study investigated the patterns of purchasing processes and business models being used in Thailand. The data was gathered from direct observations and an online survey. The findings revealed that the typical purchasing process of this channel consists of five basic steps: advertising, searching, negotiation and ordering, payment, and delivery. The business models can be categorized into five models: S-retailing, S-specific market, S-preorder, S-auction and S-reverse auction. The results may contribute to promote SC activities and value creation for the local business community in this region. Social networking users who wish to build their businesses on SC can reference our findings to provide transaction process effectiveness and promote more satisfactory services to their customers.Keywords: C2C Social commerce, business models, s-commerce transaction

The Driving Forces of C2C Social Commerce in Thailand: A Developing Framework

Social Networking Services (SNSs) allow individuals and small online retailers to engage in consumer-to-consumer social commerce (C2C s-commerce). It is a growing phenomenon in Thailand.  This article seeks to articulate the driving forces behind the massive growth of C2C s-commerce in Thailand. Our preliminary literature review and observation reveal a set of interrelated drivers or dimensions fueling this growth: personality and motivation, user-generated content, ICT, and virtual community management. We postulate that these drivers are the main building blocks for C2C s-commerce adoption in Thailand. Researchers and practitioners can refer to these dimensions as they seek to reexamine C2C s-commerce in the context of Thailand or other emerging economies.Keywords: consumer-to-consumer (C2C), s-commerce, driving forces, Facebook, motivation, personality, social networking sites, social commerce, virtual communit

S-Commerce Transactions and Business Models in Southeast Asia: A Case Study in Thailand

Social networking platforms such as Facebook, Instagram and Line have recently gained enormous popularity for commercial purposes among social media users, and is commonly known as C2C social commerce (SC). These new online businesses are continuing to flourish in Southeast Asia especially in Thailand where the C2C-SC market size is significant. To get a clear picture of C2C-SC in Southeast Asia, this study investigated the patterns of purchasing processes and business models being used in Thailand. The data was gathered from direct observations and an online survey. The findings revealed that the typical purchasing process of this channel consists of five basic steps: advertising, searching, negotiation and ordering, payment, and delivery. The business models can be categorized into five models: S-retailing, S-specific market, S-preorder, S-auction and S-reverse auction. The results may contribute to promote SC activities and value creation for the local business community in this region. Social networking users who wish to build their businesses on SC can reference our findings to provide transaction process effectiveness and promote more satisfactory services to their customers

Conceptual Model for an Intelligent Persuasive Driver Assistant

Traffic congestion is a serious issue for large cities. This is especially critical for cities that has insufficient mass transit system like Bangkok. Although transportation infrastructure projects and rail mass transit lines are being implemented, these efforts require major financial investment and take a long time to complete. This work proposes to help reduce traffic problems through influencing a change in driver behavior. In this initial stage, a model for an intelligent persuasive driver assistant is conceptualized as a voice-interactive smart assistant on a smartphone. The system uses information about the driver, his physical state, vehicle performance information, and geolocation information to form persuasive strategies to influence driver behavior and to adapt user interfaces and interactions to reduce driver distraction. Integrating these components together is expected to provide improved assistance in driving tasks and affect driving behavior changes