Capturing Context-Sensitive Information Usage in Choice Models via Mixtures of Information Archetypes

2016 ◽  
Vol 53 (5) ◽  
pp. 646-664 ◽  
Author(s):  
Joffre Swait ◽  
Monica Popa ◽  
Luming Wang

The authors offer a new conceptualization and operational model of consumer choice that allows context-sensitive information usage and preference heterogeneity to be separately and simultaneously captured, thus transforming the axiom of full information use into a testable hypothesis. A key contribution of the proposed framework is the integration of two previously disjointed and often antagonistic research paradigms: (1) the economic rationality perspective, which assumes stable preferences and full information usage, and (2) the psychological bounded-rationality perspective, which allows context-sensitive preferences and information selectivity. The authors demonstrate that the two paradigms can and do coexist in the same decision-making space, even at the level of individual consumer choices. The proposed information archetype mixture model is tested in four studies that span different product categories and levels of task complexity. The findings have ramifications for choice modeling theory and implementation, beyond the disciplinary boundaries of marketing to applied economics and choice-focused social sciences.

2018 ◽  
pp. 777-793
Author(s):  
Srinivasa K. G. ◽  
Satvik Jagannath ◽  
Aakash Nidhi

Mobile devices are changing the way people live. Users have everything on their fingertips and to support them, there are scores of application which add to the usability and comfort. “Know your world better” is an Augmented Reality application developed for Android. This application helps the user to find friends and locate places in close proximity. In this paper we talk about an application that describes a method of augmenting Point of Interests (POI's) on a mobile device. User has to move his phone pointing in a direction of his choice and POI's if any are shown in real time. The user's interest with respect to the environment is inferred from speech or by selecting from the choices; this data is used for information retrieval from the cloud. The result of context-sensitive information retrieval is augmented onto the view of the mobile and provides speech output.


Author(s):  
Usman Naeem ◽  
Richard Anthony ◽  
Abdel-Rahman Tawil ◽  
Muhammad Awais Azam ◽  
David Preston

We live in a ubiquitous world where we are surrounded by context sensitive information and smart devices that are able to capture information about our surroundings unobtrusively. Making use of such rich information can enable recognition of activities conducted by elderly users, and in turn can allow the possibility of tracking any functional decline. This chapter highlights the current methods for unobtrusively recognising activities of daily living within a home environment for people with physical or cognitive disabilities. A main group for which this is important for are Alzheimer's patients. The chapter also bases the discussion of what makes a successful environment for carrying out accurate activity recognition, which is then followed by a proposed taxonomy of the key characteristics that are required for robust activity recognition within a smart environment, contextualised with real-life scenarios.


Author(s):  
Juergen Fruend ◽  
Carsten Matysczok ◽  
Peter Ebbesmeyer ◽  
Joerg Maciej

This paper describes the development of an AR-based hard- and software system for a mobile digital assistant (AR-PDA). Target group for using this system is the large group of consumers. Here the AR-PDA uses AR technology to efficiently support users during their daily tasks. The technical realization of the system is based on 3rd generation video supported mobile phones. The user visualizes real objects with the AR-PDA. An integrated camera takes the pictures and the AR-PDA sends the video stream by mobile radiocommunication (e.g. UMTS) to the AR server. The server recognizes the objects by analyzing the image and establishes the relevant context-sensitive information, which is added to the video stream as multimedia elements (e.g. sound, video, text, images or virtual objects) and then sent back to the AR-PDA. The function validity is shown on the basis of close to practice application scenarios in the scope of household appliances.


1998 ◽  
Vol 35 (3) ◽  
pp. 339-351 ◽  
Author(s):  
Tülin Erdem

In this article, the author studies the processes by which consumers’ quality perceptions of a brand in a product category are affected by their experience with the same brand in a different category. The model proposed and estimated explicitly incorporates some of the basic consumer behavior premises of signaling theory of umbrella branding (Montgomery and Wernerfelt 1992; Wernerfelt 1988). The author provides a framework to analyze the impact of marketing mix strategies in one product category on quality perceptions, consumer perceived risk, and consumer choice behavior in a different category. The model is estimated on panel data for two oral hygiene products, toothpaste and toothbrushes, in which a subset of brands share the same brand name across the two product categories. The results show strong support for the consumer premises of the signaling theory of umbrella branding.


2013 ◽  
Vol 25 (5) ◽  
pp. 1053-1064 ◽  
Author(s):  
Sylvain Kubler ◽  
William Derigent ◽  
André Thomas ◽  
Éric Rondeau

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