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A Disruptive Contexts Model for Mobile Commerce Systems
Mark Alan Hooper, Paul Sant
Pages - 1 - 15     |    Revised - 31-07-2018     |    Published - 01-10-2018
Volume - 3   Issue - 1    |    Publication Date - October 2018  Table of Contents
M-Commerce, Purchase-Decision Involvement, Context-Awareness, Affective State.
Mobile devices are becoming increasingly important within the on-line purchasing cycle. Thus the requirement for mobile commerce systems to become truly context-aware remains paramount if they are to be truly effective under different situations typical with mobility. This report investigates consumer physical and modal contexts and presents findings as to their relationships and potential influence upon m-commerce related behaviours. We show that through an understanding of the relationship between a user's affective state and level of purchase-decision involvement, a model of engagement can be produced. Through the introduction of the novel concept of disruptive contexts we show a significant effect upon these relationships and propose a system of engagement for the optimization of context-aware m-commerce recommender systems.
1 Google Scholar 
2 BibSonomy 
3 Doc Player 
4 Scribd 
5 SlideShare 
A. B. Ãœnal, L. Steg, and K. Epstude, "The influence of music on mental effort and driving performance," Accid. Anal. Prev., vol. 48, pp. 271-278, 2012.
A. D. I. Kramer, J. E. Guillory, and J. T. Hancock, "Experimental evidence of massive-scale emotional contagion through social networks," Proc. Natl. Acad. Sci., vol. 111, no. 24, pp. 8788-8790, 2014.
A. Holmes, A. Byrne, and J. Rowley, "Mobile Shopping Behaviour: Insights into Attitudes, Shopping Process Involvement and Location," Int. J. Retail Distrib. Manag., vol. 42, no. 1, pp. 25-39, 2014.
A. M. Isen, "An Influence of Positive Affect on Decision Making in Complex Situations: Theoretical Issues With Practical Implications," J. Consum. Psychol., vol. 11, no. 2, pp. 75-85, Jan. 2001.
A. Mehrabian and J. A. Russell, "The Basic Emotional Impact of Environments," Percept. Mot. Skills, vol. 38, no. 1, pp. 283-301, 1974.
A. Mehrabian, "Pleasure-Arousal-Dominance: A General Framework for Describing and Measuring Individual Differences in Temperament," Curr. Psychol., vol. 14, no. 4, pp. 261-292, Dec. 1996.
B. A. Martin, "The Influence of Gender on Mood Effects in Advertising," Psychol. Mark., vol. 20, no. 3, pp. 249-273, Mar. 2003.
B. Ferwerda, M. Schedl, and M. Tkalcic, "Using Instagram Picture Features to Predict Users’ Personality," in International Conference on Multimedia Modeling, 2015, pp. 850-861.
B. Mittal and M.-S. Lee, "A causal model of consumer involvement," J. Econ. Psychol., vol. 10, no. 3, pp. 363-389, 1989.
B. Mittal, "A Comparative Analysis of Four Scales of Consumer Involvement," Psychol. Mark., vol. 12, no. 7, pp. 663-682, 1995.
B. Mittal, "Measuring Purchase-decision involvement," Psychol. Mark., vol. 6, no. 2, pp. 147-162, 1989.
C. Chang, "Self-Congruency as a Cue in Different Advertising-Processing Contexts," Communic. Res., vol. 29, no. 5, pp. 503-536, Oct. 2002.
C. Eccleston, "Chronic pain and distraction: an experimental investigation into the role of sustained and shifting attention in the processing of chronic persistent pain," Behav. Res. Ther., vol. 33, no. 4, pp. 391-405, 1995.
C. L. Hogan, M. Jutta, and L. L. Carstensen, "Exercise Holds Immediate Benefits for Affect and Cognition in Younger and Older Adults," Psychol. Aging, vol. 28, no. 2, pp. 587-594, 2013.
C. Parnin and C. Görg, "Building usage contexts during program comprehension," in In Program Comprehension, 2006. ICPC 2006. 14th IEEE International Conference on, 2006, pp. 13-22.
C. Speier, I. Vessey, and J. S. Valacich, "The Effects of Interruptions, Task Complexity, and Information Presentation on Computer-Supported Decision-Making Performance," Decis. Sci., vol. 34, no. 4, pp. 771-797, Nov. 2003.
D. M. Koo and J. H. Lee, "Inter-relationships among dominance, energetic and tense arousal, and pleasure, and differences in their impacts under online vs. offline environment," Comput. Human Behav., vol. 27, no. 5, pp. 1740-1750, 2011.
D. V. Parboteeah, "A Model of Online Impulse Buying: An Empirical Study," 2005.
E. Anderson, C. Bierman, J. Franko, and A. Zelko, "The effects of audio and visual distractions on reaction time," 2012.
F. G. Ashby, a M. Isen, and a U. Turken, "A neuropsychological theory of positive affect and its influence on cognition.," Psychol. Rev., vol. 106, no. 3, pp. 529-550, 1999.
G. Adomavicius and A. Tuzhilin, "Context-aware recommender systems," in Recommender Systems Handbook, Springer US, 2015, pp. 191-226.
H. S. Kim, "Consumer profiles of apparel product involvement and values," J. Fash. Mark. Manag., vol. 9, no. 2, pp. 207-220, 2005.
J. A. Russell and G. Pratt, "A description of the affective quality attributed to environments," J. Pers. Soc. Psychol., vol. 38, no. 2, pp. 311-322, 1980.
J. Ben Schafer, D. Frankowski, J. Herlocker, and S. Sen, "Collaborative Filtering Recommender Systems," in In The adaptive web, 2007, pp. 291-324.
J. Bennett and S. Lanning, "The Netflix Prize," KDD Cup Work., pp. 3-6, 2007.
J. Broekens, "In Defense of Dominance: PAD Usage in Computational Representations of Affect," Int. J. Synth. Emot., vol. 3, no. 1, pp. 33-42, 2012.
J. C. Heudin, "Evolutionary virtual agent," in Proceedings - IEEE/WIC/ACM International Conference on Intelligent Agent Technology. IAT 2004, 2004, no. October 2004, pp. 93-97.
J. Myers and S. Sar, "The Influence of Consumer Mood State as a Contextual Factor on Imagery-Inducing Advertisements and Brand Attitude," J. Mark. Commun., vol. 21, no. 4, pp. 284-299, Feb. 2015.
J. Park, S. J. Lennon, and L. Stoel, "On-line Product Presentation: Effects on Mood, Perceived risk, and Purchase Intention," Psychol. Mark., vol. 22, no. 9, pp. 695-719, Sep. 2005.
J. S. Lerner, "Beyond valence: Toward a model of emotion-specific influences on judgement and choice," Cogn. Emot., vol. 14, no. 4, pp. 473-493, 2000.
K. I. Erickson, C. H. Hillman, and A. F. Kramer, "Physical activity, brain, and cognition," Curr. Opin. Behav. Sci., vol. 4, pp. 27-32, 2015.
K. K. Rachuri, M. Musolesi, C. Mascolo, P. J. Rentfrow, C. Longworth, and A. Aucinas, "EmotionSense: A Mobile Phones Based Adaptive Platform for Experimental Social Psychology Research," in In Proceedings of the 12th ACM International Conference on Ubiquitous Computing, 2010, pp. 281-290.
K. R. Scherer, T. Banziger, and E. B. Roesch, Blueprint for Affective Computing: A sourcebook and manual. Oxford University Press, 2010.
K. Verbert, N. Manouselis, X. Ochoa, M. Wolpers, H. Drachsler, I. Bosnic, S. Member, and E. Duval, "Context-aware Recommender Systems for Learning?: a Survey and Future Challenges," vol. 6, no. 1, pp. 1-20, 2007.
L. M. Ward and J. A. Russell, "The psychological representation of molar physical environments," J. Exp. Psychol. Gen., vol. 110, no. 2, pp. 121-152, 1981.
M. Bradley and P. J. Lang, "Measuring Emotion: The Self-Assessment Manikin and the Semantic Differential," J. Behav. Ther. Exp. Psychiatrysychiatry, vol. 25, no. 1, pp. 49-59, 1994.
M. K. Hui and J. E. G. Bateson, "Perceived Crowding on Control and and Consumer the Effects Choice of the Experience," J. Consum. Res., vol. 18, no. 2, pp. 174-184, 1991.
M. M. Yani-de-Soriano and G. R. Foxall, "The emotional power of place: The fall and rise of dominance in retail research," J. Retail. Consum. Serv., vol. 13, no. 6, pp. 403-416, 2006.
M. Sappelli, S. Verberne, and W. Kraaij, "Evaluation of Context-Aware Recommendation Systems for Information Re-Finding," J. Assoc. Inf. Sci. Technol., vol. 68, no. 4, pp. 895-910, 2017.
N. Mallat, M. Rossi, V. K. Tuunainen, and A. Öörni, "The Impact of Use Context on Mobile Services Acceptance: The Case of Mobile Ticketing," Inf. Manag., vol. 46, no. 3, pp. 190-195, Apr. 2009.
O. Moriarty, B. McGuire, and D. Finn, "The effect of pain on cognitive function: a review of clinical and preclinical research," Prog. Neurobiol., vol. 93, no. 3, pp. 385-404, 2011.
P. H. Bloch, D. L. Sherrell, and N. M. Ridgway, "Consumer Search?: An Extended Framework," vol. 13, no. 1, pp. 119-126, 2014.
P. Winoto and T. Y. Tang, "The role of user mood in movie recommendations," Expert Syst. Appl., vol. 37, no. 8, pp. 6086-6092, 2010.
R. A. Calvo and S. D’Mello, "Affect Detection: An Interdisciplinary Review of Models , Methods , and Their Applications," Affect. Comput. IEEE Trans., vol. 1, no. 1, pp. 18-37, 2010.
R. Guski, U. Felscher-Suhr, and R. Schuemer, "The Concept of Noise Annoyance?: How International Experts see it," J. Sound Vib., vol. 223, no. 4, pp. 513-527, 1999.
R. P. Bagozzi, M. Gopinath, and P. U. Nyer, "The Role of Emotions in Marketing," J. Acad. Mark. Sci., vol. 27, no. 2, pp. 184-206, Apr. 1999.
S. A. Eroglu, K. A. Machleit, and L. M. Davis, "Atmospheric qualities of online retailing: A conceptual model and implications," J. Bus. Res., vol. 54, no. 2, pp. 177-184, 2001.
S. Antifakos, N. Kern, B. Schiele, and A. Schwaninger, "Towards improving trust in context-aware systems by displaying system confidence," Proc. 7th Int. Conf. Hum. Comput. Interact. with Mob. devices Serv. - MobileHCI ’05, p. 9, 2005.
S. Helfenstein, "Product meaning, affective use evaluation, and transfer: a preliminary study," Hum. Technol. An Interdiscip. J. Humans ICT Environ., pp. 76-100, 2005.
S. Marsella, J. Gratch, P. Petta, and E. A. Eds, "Computational Models of Emotion," in A Blueprint for Affective Computing - A Sourcebook and Manual, Oxford University Press, 2010, pp. 21-46.
S. P. Banbury and D. C. Berry, "Office Noise and Employee Concentration: Identifying Causes of Disruption and Potential Improvements," Ergonomics, vol. 48, no. 1, pp. 25-37, Jan. 2005.
S. Youn and R. J. Faber, "Impulse Buying - its Relation to Personality Traits and Cues," in Advances in Consumer Research, 2000, vol. 27, pp. 179-185.
T. Adelaar, S. Chang, K. M. Lancendorfer, B. Lee, and M. Morimoto, "Effects of media formats on emotions and impulse buying intent," J. Inf. Technol., vol. 18, no. 4, pp. 247-266, Dec. 2003.
T. Hansen, "Perspectives on consumer decision making?: An integrated approach," J. Consum. Behav., vol. 4, no. 6, pp. 420-437, 2005.
T. Park and G. Salvendy, "Emotional Factors in Advertising Via Mobile Phones," Int. J. Hum. Comput. Interact., vol. 28, no. 9, pp. 597-612, Sep. 2012.
V. Danciu, "Manipulative marketing: persuasion and manipulation of the consumer through advertising.," Theor. Appl. Econ., vol. 21, no. 2, pp. 19-34, 2014.
Y. Ma, B. Xu, Y. Bai, G. Sun, and R. Zhu, "Daily Mood Assessment Based on Mobile Phone Sensing," in Wearable and Implantable Body Sensor Networks (BSN), 2012 Ninth International Conference on, 2012, pp. 142-147.
Mr. Mark Alan Hooper
University of Bedfordshire - United Kingdom
Dr. Paul Sant
School of Computer Science and Technology University of Bedfordshire - United Kingdom

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