9,719 research outputs found
The design with intent method: A design tool for influencing user behaviour
The official published version can be found at the link below.Using product and system design to influence user behaviour offers potential for improving performance and reducing user error, yet little guidance is available at the concept generation stage for design teams briefed with influencing user behaviour. This article presents the Design with Intent Method, an innovation tool for designers working in this area, illustrated via application to an everyday human–technology interaction problem: reducing the likelihood of a customer leaving his or her card in an automatic teller machine. The example application results in a range of feasible design concepts which are comparable to existing developments in ATM design, demonstrating that the method has potential for development and application as part of a user-centred design process
Wearable Computing for Health and Fitness: Exploring the Relationship between Data and Human Behaviour
Health and fitness wearable technology has recently advanced, making it
easier for an individual to monitor their behaviours. Previously self generated
data interacts with the user to motivate positive behaviour change, but issues
arise when relating this to long term mention of wearable devices. Previous
studies within this area are discussed. We also consider a new approach where
data is used to support instead of motivate, through monitoring and logging to
encourage reflection. Based on issues highlighted, we then make recommendations
on the direction in which future work could be most beneficial
A theoretical and practical approach to a persuasive agent model for change behaviour in oral care and hygiene
There is an increased use of the persuasive agent in behaviour change interventions due to the agent‘s features of sociable, reactive, autonomy, and proactive. However, many interventions have been unsuccessful, particularly in the domain of oral care. The psychological reactance has been identified as one of the major reasons for these
unsuccessful behaviour change interventions. This study proposes a formal persuasive agent model that leads to psychological reactance reduction in order to achieve an improved behaviour change intervention in oral care and hygiene. Agent-based
simulation methodology is adopted for the development of the proposed model. Evaluation of the model was conducted in two phases that include verification and validation. The verification process involves simulation trace and stability analysis. On the other hand, the validation was carried out using user-centred approach by developing an agent-based application based on belief-desire-intention architecture. This study
contributes an agent model which is made up of interrelated cognitive and behavioural factors. Furthermore, the simulation traces provide some insights on the interactions among the identified factors in order to comprehend their roles in behaviour change intervention. The simulation result showed that as time increases, the psychological reactance decreases towards zero. Similarly, the model validation result showed that the percentage of respondents‘ who experienced psychological reactance towards behaviour
change in oral care and hygiene was reduced from 100 percent to 3 percent. The contribution made in this thesis would enable agent application and behaviour change intervention designers to make scientific reasoning and predictions. Likewise, it provides a guideline for software designers on the development of agent-based applications that
may not have psychological reactance
ChatGPT and Persuasive Technologies for the Management and Delivery of Personalized Recommendations in Hotel Hospitality
Recommender systems have become indispensable tools in the hotel hospitality
industry, enabling personalized and tailored experiences for guests. Recent
advancements in large language models (LLMs), such as ChatGPT, and persuasive
technologies, have opened new avenues for enhancing the effectiveness of those
systems. This paper explores the potential of integrating ChatGPT and
persuasive technologies for automating and improving hotel hospitality
recommender systems. First, we delve into the capabilities of ChatGPT, which
can understand and generate human-like text, enabling more accurate and
context-aware recommendations. We discuss the integration of ChatGPT into
recommender systems, highlighting the ability to analyze user preferences,
extract valuable insights from online reviews, and generate personalized
recommendations based on guest profiles. Second, we investigate the role of
persuasive technology in influencing user behavior and enhancing the persuasive
impact of hotel recommendations. By incorporating persuasive techniques, such
as social proof, scarcity and personalization, recommender systems can
effectively influence user decision-making and encourage desired actions, such
as booking a specific hotel or upgrading their room. To investigate the
efficacy of ChatGPT and persuasive technologies, we present a pilot experi-ment
with a case study involving a hotel recommender system. We aim to study the
impact of integrating ChatGPT and persua-sive techniques on user engagement,
satisfaction, and conversion rates. The preliminary results demonstrate the
potential of these technologies in enhancing the overall guest experience and
business performance. Overall, this paper contributes to the field of hotel
hospitality by exploring the synergistic relationship between LLMs and
persuasive technology in recommender systems, ultimately influencing guest
satisfaction and hotel revenue.Comment: 17 pages, 12 figure
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