CHASE: Checklist to Assess User Experience in Internet of Things EnvironmentsNIER
User Experience (UX) evaluation in an Internet of Things (IoT) scenario is challenging due to the complexity of human-thing interactions that can occur. Then, we propose CHASE, a checklist to facilitate UX evaluation in IoT scenarios. First, CHASE was constructed based on the results of a literature review that identified methods, instruments, and characteristics of user interaction and evaluation in these scenarios. Then, fourteen IoT experts reviewed a preliminary version of the check-list, followed by three Human-Computer Interaction (HCI) experts. Finally, to engage experts in testing CHASE in a real environment and to gather authentic feedback, three researchers evaluated a real IoT application using CHASE. In addition, this paper presents a series of important points for the evaluation of UX in IoT environments based on the literature review, the opinion of the experts, and the IoT application evaluations.
Wed 8 JulDisplayed time zone: (UTC) Coordinated Universal Time change
00:00 - 01:00 | P9-Bugs and RepairJournal First / Technical Papers / Software Engineering in Practice / New Ideas and Emerging Results at Silla Chair(s): Yingfei Xiong Peking University, China | ||
00:00 12mTalk | PRECFIX: Large-Scale Patch Recommendation by Mining Defect-Patch PairsSEIP Software Engineering in Practice Xindong Zhang Alibaba Group, Chenguang Zhu University of Texas, Austin, Yi Li Nanyang Technological University, Jianmei Guo Alibaba Group, Lihua Liu Alibaba Group, Haobo Gu Alibaba Group Pre-print | ||
00:12 12mTalk | On the Efficiency of Test Suite based Program Repair: A Systematic Assessment of 16 Automated Repair Systems for Java Programs Technical Papers Kui Liu Huawei Software Engineering Application Technology Lab, Shangwen Wang National University of Defense Technology, Anil Koyuncu University of Luxembourg, Luxembourg, Kisub Kim University of Luxembourg, SnT, Tegawendé F. Bissyandé SnT, University of Luxembourg, Dongsun Kim Furiosa.ai, Peng Wu National University of Defense Technology, Jacques Klein University of Luxembourg, SnT, Xiaoguang Mao National University of Defense Technology, Yves Le Traon University of Luxembourg Pre-print | ||
00:24 8mTalk | SEQUENCER: Sequence-to-Sequence Learning for End-to-End Program RepairJ1 Journal First Zimin Chen KTH Royal Institute of Technology, Steve Kommrusch Colorado State University, Michele Tufano College of William and Mary, Louis-Noël Pouchet Colorado State University, USA, Denys Poshyvanyk William and Mary, Martin Monperrus KTH Royal Institute of Technology | ||
00:32 8mTalk | A Study of Bug Resolution Characteristics in Popular Programming LanguagesJ1 Journal First Jie M. Zhang University College London, UK, Feng Li , Dan Hao Peking University, Meng Wang University of Bristol, UK, Hao Tang Peking University, Lu Zhang Peking University, China, Mark Harman Facebook and University College London | ||
00:40 12mTalk | Automated Bug Reproduction from User Reviews for Android ApplicationsSEIP Software Engineering in Practice Shuyue Li Xi'an Jiaotong University, Jiaqi Guo Xi'an Jiaotong University, Ming Fan Xi'an Jiaotong University, Jian-Guang Lou Microsoft Research, Qinghua Zheng Xi'an Jiaotong University, Ting Liu Xi'an Jiaotong University | ||
00:52 6mTalk | CHASE: Checklist to Assess User Experience in Internet of Things EnvironmentsNIER New Ideas and Emerging Results Rodrigo Almeida Federal University of Ceará, Joseane Paiva Federal University of Ceará, Rossana Andrade Federal University of Ceará, Ticianne Darin Federal University of Ceará | ||