5 research outputs found
Capturing the Visitor Profile for a Personalized Mobile Museum Experience: an Indirect Approach
An increasing number of museums and cultural institutions
around the world use personalized, mostly mobile, museum
guides to enhance visitor experiences. However since a typical
museum visit may last a few minutes and visitors might only visit
once, the personalization processes need to be quick and efficient,
ensuring the engagement of the visitor. In this paper we
investigate the use of indirect profiling methods through a visitor
quiz, in order to provide the visitor with specific museum content.
Building on our experience of a first study aimed at the design,
implementation and user testing of a short quiz version at the
Acropolis Museum, a second parallel study was devised. This
paper introduces this research, which collected and analyzed data
from two environments: the Acropolis Museum and social media
(i.e. Facebook). Key profiling issues are identified, results are
presented, and guidelines towards a generalized approach for the
profiling needs of cultural institutions are discussed
Using dates as contextual information for personalised cultural heritage experiences
We present semantics-based mechanisms that aim to promote reflection on cultural heritage by means of dates (historical events or annual commemorations), owing to their connections to a collection of items and to the visitors’ interests. We argue that links to specific dates can trigger curiosity, increase retention and guide visitors around the venue following new appealing narratives in subsequent visits. The proposal has been evaluated in a pilot study on the collection of the Archaeological Museum of Tripoli (Greece), for which a team of humanities experts wrote a set of diverse narratives about the exhibits. A year-round calendar was crafted so that certain narratives would be more or less relevant on any given day. Expanding on this calendar, personalised recommendations can be made by sorting out those relevant narratives according to personal events and interests recorded in the profiles of the target users. Evaluation of the associations by experts and potential museum visitors shows that the proposed approach can discover meaningful connections, while many others that are more incidental can still contribute to the intended cognitive phenomena
Data and the city – accessibility and openness. a cybersalon paper on open data
This paper showcases examples of bottom–up open data and smart city applications and identifies lessons for future such efforts. Examples include Changify, a neighbourhood-based platform for residents, businesses, and companies; Open Sensors, which provides APIs to help businesses, startups, and individuals develop applications for the Internet of Things; and Cybersalon’s Hackney Treasures. a location-based mobile app that uses Wikipedia entries geolocated in Hackney borough to map notable local residents. Other experiments with sensors and open data by Cybersalon members include Ilze Black and Nanda Khaorapapong's The Breather, a "breathing" balloon that uses high-end, sophisticated sensors to make air quality visible; and James Moulding's AirPublic, which measures pollution levels. Based on Cybersalon's experience to date, getting data to the people is difficult, circuitous, and slow, requiring an intricate process of leadership, public relations, and perseverance. Although there are myriad tools and initiatives, there is no one solution for the actual transfer of that data