@conference{Chanduen2016,

title = {Design and Validation of Affective Warning Pictorial on Cigarette Labels},

author = {Pat-Arin Chanduen and Arisara Jiamsanguanwong},

editor = {Yusmawiza W.A. and Qiu X. and Kocisko M. and Goyal R.K. and Ulkhaq M.M. and Arumugham A.J.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84982170341&doi=10.1051%2fmatecconf%2f20166817001&partnerID=40&md5=52cfbe9c000e3ffc0e534e81c036cae9},

doi = {10.1051/matecconf/20166817001},

year  = {2016},

date = {2016-01-01},

journal = {MATEC Web of Conferences},

volume = {68},

publisher = {EDP Sciences},

abstract = {The purpose of present study were to design and validate affective warning pictorials for cigarette label in Thailand. Brainstorming and survey techniques were used to collect the idea of possible warning pictorials. All ideas were grouped for finding candidated pictorials. Then, primary sixty warning pictorials were collected and equally classified into three affective warning pictorial groups as positive, neutral, and negative. Sixty Thai male engineering students participated in affective validation of warning pictorials using SAM rating. The International Affective Picture System (IAPS) was used to manipulate the affective state of participants to neutral affective state before the experiments. The results revealed that all affective warning pictorials were successfully evoked target affective states on participants. After refining, thirty affective warning pictorials were provided as positive, neutral, and negative affective warning pictorials for using on cigarette labels. Implications on the affective warning pictorials design and validation. © 2016 The Authors, published by EDP Sciences.},

note = {Cited by: 2; All Open Access, Gold Open Access, Green Open Access},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{Thanachan201623,

title = {Comparative usability evaluation of mobile map applications},

author = {Patarada Thanachan and Arisara Jiamsanguanwong},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84982847730&partnerID=40&md5=8497939b1d14f179762c88c8fe11c660},

year  = {2016},

date = {2016-01-01},

journal = {2016 6th International Workshop on Computer Science and Engineering, WCSE 2016},

pages = {23 – 27},

publisher = {International Workshop on Computer Science and Engineering (WCSE)},

abstract = {The purpose of this research was to evaluate usability of mobile map application. Comparative usability test was performed on map application by using NOSTRA map and Google map. Usability test is not only to identify the problem but also separate the high concerned problem. If the design does not follow usability guidelines or user-center design methodology during development and implementation, the application will create the complexness. In order to improve the quality of mobile application, usability test, the effective technique for product evaluation was focused in this research. The results showed several usability issues which mainly caused by the icon design or difficult vocabulary used in menu.},

note = {Cited by: 2},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{Authayarat201112,

title = {Development of affective management concept and scorecard},

author = {Waratta Authayarat and Hiroyuki Umemuro and Kensuke Murata and Arisara Jiamsanguanwong},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052590934&doi=10.1109%2fICBEIA.2011.5994226&partnerID=40&md5=4b512a38b70bdac59932c80231218d23},

doi = {10.1109/ICBEIA.2011.5994226},

year  = {2011},

date = {2011-01-01},

journal = {ICBEIA 2011 - 2011 International Conference on Business, Engineering and Industrial Applications},

pages = {12 – 15},

abstract = {Affective management is a new idea of decision-making in management which has a sense beyond conventional management by giving value to both people's affect and conventional numerical and rational indices. In psychology, affect is referred to emotion, feeling, and mood. Moreover, benefits of positive affect tend to give advantages to all stakeholders and to organization itself. Thus, the purpose of this study was to develop a measurement for affective management. The interviews of top management were done resulting to 15 dimensions of affective management measurement. Also, four stakeholders, customer, employee, local community, and society, have been taken into consideration. The conclusion and future work were provided. © 2011 IEEE.},

note = {Cited by: 0},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}