scholarly journals The Influence of Personality Traits on Mobile Phone Application Preferences

2012 ◽  
Vol 4 (5) ◽  
pp. 252-260 ◽  
Author(s):  
Wilburn Lane
Keyword(s):  
Mobile Phone ◽  
Personality Traits ◽  
Smart Phone ◽  
Big Five Personality ◽  
Application Development ◽  
Mobile Phone Application ◽  
Personality Research ◽  
Smartphone Technology ◽  
And Behavior ◽  
Smart Phone Application

Understanding mobile phone users' preferences and behavior is essential for the commercial success of new application development. This study aims to enhance this understanding by identifying the personality traits associated with smart phone application use. Multiple regressions were used to analyze results from a sample of 233 participants. Consistent with recent personality research, we found that the "Big Five" personality dimensions are related to the application of smartphone technology. Extroverted individuals reported greater importance on gaming applications, but they viewed productivity applications as less important. Also, neurotics placed greater importance on travel applications, while less conscientious people indicated that communication, productivity, and utilities applications were less important to them.

Big Five personality traits in simulated negotiation settings

2018 ◽  
Vol 13 (2) ◽  
pp. 201-213 ◽  
Author(s):  
Pedro Fontes Falcão ◽  
Manuel Saraiva ◽  
Eduardo Santos ◽  
Miguel Pina e Cunha
Keyword(s):  
Personality Traits ◽  
Factor Model ◽  
Five Factor Model ◽  
Big Five Personality ◽  
Content Type ◽  
Situational Variables ◽  
Integrative Negotiation ◽  
Negotiation Behavior ◽  
New Findings ◽  
And Behavior

Purpose After a hiatus in the research on individual differences in negotiation, there has been a surge of renewed interest in recent years followed by several new findings. The purpose of this paper is to explore the effects that personality, as structured by the five-factor model, have over negotiation behavior and decision making in order to create new knowledge and prescribe advice to negotiators. Design/methodology/approach This study replicates observations from earlier studies but with the innovation of using a different methodology, as data from a sample of volunteer participants were collected in regard to their personality and behavior during two computerized negotiation simulations, one with the potential for joint gains and the other following a more traditional bargaining scenario. Findings Significant results for both settings were found, with the personality dimensions of agreeableness, conscientiousness, and extraversion systematically reoccurring as the most statistically relevant, although expressing different roles according to the type of negotiation and measure being registered. The findings thus suggest a multidimensional relationship between personality and situational variables in which specific traits can either become liabilities or assets depending upon whether the potential for value creation is present or not. Originality/value The new findings on the impacts of personality traits on both distributive and integrative negotiations allow negotiators to improve their performance and to adapt to specific distributive or integrative negotiation situations.

scholarly journals A smart phone application for increasing fruit and vegetable knowledge and intakes: Development and inital testing

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Katherine Appleton ◽  
David Passmore ◽  
Isobel Burn ◽  
Hanna Pidgeon ◽  
Philippa Nation ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Pilot Trial ◽  
Smart Phone ◽  
Self Report ◽  
Final Version ◽  
Mobile Phone Application ◽  
Agile Approach ◽  
Fruit Drink ◽  
The Uk ◽  
Adult Volunteers

IntroductionPrevious work suggests low intakes of fruit and vegetables (FV) across the world, poor knowledge of the details of FV recommendations, and associations between the two. This work aimed to develop an interactive mobile phone application (app) to facilitate adherence to the UK 5-a-day FV recommendations, and reports on the findings and feedback from the first test of the prototype.Materials and MethodsRequirements for the app were first gained from previous research and potential end-users via four public engagement workshops, and prioritised using the MoSCoW method. A prototype app was then designed and developed using an agile approach. The prototype app was then tested in a randomized controlled pilot trial for impacts on FV knowledge and FV intake. Ninety-four adult volunteers were randomized to either receive (N = 50) or not receive the app (N = 44) for two or four weeks, and FV knowledge, self-report FV intakes, and FV behaviour (complimentary drink choice), were assessed at study start and study end. App use and feedback were also investigated.ResultsLow knowledge of the FV recommendations centred around portion sizes and the need for variety, and an interactive mobile phone app was considered a suitable tool for improving knowledge in a practical manner, that would be available both at time of consumption and outside of these times. Findings revealed improved FV behaviour in volunteers who received the app for two weeks at study end: 16 app users chose a fruit drink, compared to 4 app users who chose a non-fruit drink, where 4 control volunteers also chose a fruit drink and 6 control volunteers chose a non-fruit drink. App users also suggested increased FV intakes, but changes were small, and possibly masked in questionnaire measures. Improvements in FV knowledge (of approx. 10%) were also found, but with no differences between groups. App usage was low and feedback suggested a desire for reminder notifications and a wish to return to the input for a previous day due to forgetting. Increased awareness of low FV intakes was also offered as feedback.DiscussionOur prototype app was well received and of potential benefit. A final version of the app was subsequently developed incorporating the findings and feedback from the pilot test. Improvements in the final version of the app include a message to increase awareness of low intakes and an option to add notifications to increase use. Testing of the final app is now needed.

Research on a Development Framework of the 3D Interactive System Based on Andriod Phone

2013 ◽  
Vol 416-417 ◽  
pp. 1542-1547
Author(s):  
Hu Peng
Keyword(s):  
Mobile Phone ◽  
Market Share ◽  
Smart Phone ◽  
Interactive System ◽  
Application Development ◽  
3D Interaction ◽  
Development Framework ◽  
Interaction System ◽  
Android Platform

The improvements of smart phone performance have made it possible to develop 3d interaction system on the phone, and the android platform has the highest market share of mobile phone platforms. Therefore the development of 3D interaction system on the Andriod phone becomes a unstoppable trend. Based on the combination of three kinds of application development framework, a development framework of the 3D interactive system based on Andriod phone is put forward. And this essay takes the 3d room show as an example analysis of the development framework and proves its feasibility and effectiveness.

scholarly journals Is Evaluative Conditioning Moderated by Big Five Personality Traits?

2017 ◽  
Vol 10 (1) ◽  
pp. 94-102 ◽  
Author(s):  
Tobias Vogel ◽  
Mandy Hütter ◽  
Jochen E. Gebauer
Keyword(s):  
Personality Traits ◽  
Big Five ◽  
Negative Stimulus ◽  
Big Five Personality Traits ◽  
Evaluative Conditioning ◽  
Attitude Formation ◽  
Big Five Personality ◽  
Personality Research ◽  
Paired Presentation ◽  
Basic Learning

Evaluative conditioning (EC), a change in liking of a stimulus due to its paired presentation with a positive or negative stimulus, is a key concept in attitude formation. The present article examines to what extent EC effects are moderated by Big Five personality. For this purpose, 567 participants completed an EC procedure and the Big Five Inventory. People high on neuroticism and agreeableness showed stronger EC effects than people low on those personality traits. In conclusion, attitude formation via EC depends in part on Big Five personality. This novel insight has important ramifications for EC research and personality research. As to EC research, the moderation by neuroticism suggests that EC effects intensify with an increased focus on valent stimuli. As to personality research, our findings reinforce the fundamental nature of the Big Five because they are evidentially able to moderate such basic learning phenomena as EC.

scholarly journals A Survey on Big Five Personality Traits Prediction Using Tensorflow

2020 ◽  
Vol 184 ◽  
pp. 01053
Author(s):  
Manisha Nilugonda ◽  
Dr. Karanam Madhavi
Keyword(s):  
Personality Traits ◽  
Big Five ◽  
Specific Pattern ◽  
Big Five Personality Traits ◽  
Personality Types ◽  
Big Five Personality ◽  
Physical Diseases ◽  
Quality Dimensions ◽  
And Behavior ◽  
Personalized Health

A personality trait is a specific pattern of thought, thinking, or performing that manages to be faithful over time and beyond essential places. The Big Five—Extraversion, Agreeableness, Conscientiousness, Neuroticism and Openness to Practice are a set of five broad, bipolar quality dimensions that establish the most extensively used design of personality construction. Earlier investigations revealed a growing interest in defining the personality and behavior of people in fields such as career development, personalized health assistance, counseling, mental disorder analysis, and the detection of physical diseases with personality shift symptoms. Modern methods of discovering the Big-Five personality types include completing a survey, that takes an impractical amount of time and cannot be used often. This paper provides a survey on detecting of big five personality traits based on facial features recognition using TensorFlow mechanism. And also, various methods to detect big five personality traits are discussed in this paper. Finally, the graph provides a comparison between various detection of big five personality traits on facial expressions.

scholarly journals Mobile Phone-Based Audio Announcement Detection and Recognition for People with Hearing Impairment

2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Yong Ruan ◽  
Yueliang Qian ◽  
Xiangdong Wang
Keyword(s):  
Mobile Phone ◽  
Hearing Impairment ◽  
Smart Phone ◽  
Error Rates ◽  
Svm Classifier ◽  
Acoustic Model ◽  
Mobile Phone Application ◽  
User Input ◽  
Finite State Transducer ◽  
Detection And Recognition

Automatic audio announcement systems are widely used in public places such as transportation vehicles and facilities, hospitals, and banks. However, these systems cannot be used by people with hearing impairment. That brings great inconvenience to their lives. In this paper, an approach of audio announcement detection and recognition for the hearing-impaired people based on the smart phone is proposed and a mobile phone application (app) is developed, taking the bank as a major applying scenario. Using the app, the users can sign up alerts for their numbers and then the system begins to detect audio announcements using the microphone on the smart phone. For each audio announcement detected, the speech within it is recognized and the text is displayed on the screen of the phone. When the number the user input is announced, alert will be given by vibration. For audio announcement detection, a method based on audio segment classification and postprocessing is proposed, which uses a SVM classifier trained on audio announcements and environment noise collected in banks. For announcement speech recognition, an ASR engine is developed using a GMM-HMM-based acoustic model and a finite state transducer (FST) based grammar. The acoustic model is trained on audio announcement speech collected in banks, and the grammar is human-defined according to the patterns used by the automatic audio announcement systems. Experimental results show that character error rates (CERs) around 5% can be achieved for the announcement speech, which shows feasibility of the proposed method and system.

scholarly journals Sustainability of the Smart phone applications usage in rural India –An empirical study

2021 ◽  
Vol 58 (2) ◽  
pp. 254-265
Author(s):  
Souvik Roy, Dennis Joseph
Keyword(s):  
Behavioral Intention ◽  
Smart Phone ◽  
Rural India ◽  
Indian Market ◽  
Application Development ◽  
Statistical Tool ◽  
Depth Interview ◽  
Telangana State ◽  
Google Play ◽  
Smart Phone Application

The Indian smart phone applications market is really flourishing with India ranked as number one in terms of the downloads made via Android and Google play store. However the smart phone application penetration is still low in rural India as compared to its urban part. This study is first of its kind which tries to explore two things, one the reasons, why rural Indian market is not growing in terms of smart phone application downloads/usage and second  some antecedents that can affect the behavioral intention of rural customers for increased smart phone application usage. For this study authors resorted to ethnographic in-depth interview during pre-test stage followed by collecting of responses through administrated questionnaires in the second part. Around 346 responses were collected from ten villages in Rangareddy district in Telangana state, in India. SEM was used as the statistical tool to run the hypothesis. In terms of smart phone application development, this study is unique one which tries to throw light immensely on how the marketers/developers can increase the sustainability of smart application usage among rural consumers which happens to be an untouched profitable segment till this point of time.

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